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Most-cited are based on citations from 2023 ~ 2025.

Special Issue
Working hours and the regulations in Korea
Inah Kim, Jeehee Min
Ann Occup Environ Med 2023;35:e18.   Published online July 6, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e18
AbstractAbstract PDFSupplementary Material

South Korea has the highest policy priority for working hour regulations because it has longer annual working hours than other Organization for Economic Development Co-operation and Development countries and has fewer holidays. According to the results of the Working Conditions Surveys between 2006 and 2020, in 2020, 6% of wage earners worked for > 52 hours weekly. The percentage of workers exceeding 52 hours weekly has decreased over time; however, disparities exist based on age, industry, occupation, company type, and company size, particularly in service-, arts-, and culture-related occupations and workplaces with fewer than 5 employees. South Koreaโ€™s working hours system is greatly influenced by the 52-hour weekly maximum; sometimes, a maximum of 64โ€“69 hours, including overtime, is theoretically possible. To ensure healthy working hours, it is important to actively protect workers who fall through the cracks, such as those in businesses with fewer than 5 employees.


Citations

Citations to this article as recorded by  
  • Gender differences in the association between long working hours and the onset of depressive symptoms in middle-aged and older workers in Korea: A population-based longitudinal study (2006โ€“2022)
    Seong-Uk Baek, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Maturitas.2025; 193: 108175.     CrossRef
  • Association of precarious employment with depressive symptoms and insomnia: Findings from the Korean Working Conditions Survey
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Psychiatric Research.2025; 181: 7.     CrossRef
  • Gender differences in the association between long work hours, weekend work, and insomnia symptoms in a nationally representative sample of workers in Korea
    Seong-Uk Baek, Jong-Uk Won, Jin-Ha Yoon
    Sleep Health.2025; 11(2): 191.     CrossRef
  • Challenges from 14 years of experience at Workers' Health Centers in basic occupational health services for micro and small enterprises in Korea: a narrative review
    Jeong-Ok Kong, Yeongchull Choi, Seonhee Yang, Kyunghee Jung-Choi
    The Ewha Medical Journal.2025;[Epub]     CrossRef
  • The increasing importance of changes in nuptiality: policy mismatch and fertility decline in low-fertility Asian societies
    Jolene Tan, Qi Cui, Fumiya Uchikoshi
    Chinese Sociological Review.2025; : 1.     CrossRef
  • Association of long working hours with visceral adiposity index, anthropometric indices, and weight management behaviors: a study of Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Family Practice.2025;[Epub]     CrossRef
  • Gender discrimination in the workplace and the onset of problematic alcohol use among female wage workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • Overwork and changes in brain structure: a pilot study
    Wonpil Jang, Sungmin Kim, YouJin Kim, Seunghyun Lee, Joon Yul Choi, Wanhyung Lee
    Occupational and Environmental Medicine.2025; 82(3): 105.     CrossRef
  • Association of social jetlag with cigarette smoking, smoking intensity, and quitting intentions among Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Public Health.2025; 47(3): 610.     CrossRef
  • Employment Quality as a Framework to Understand Precarious Employment and Beyond in Crossโ€National Contexts: Conceptual, Methodological, and Practical Recommendations
    Julie Vanderleyden, Deborah De Moortel
    Sociology Compass.2025;[Epub]     CrossRef
  • Effect of long working hours on psychological distress among young workers in different types of occupation
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2024; 179: 107829.     CrossRef
  • Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107890.     CrossRef
  • Long Working Hours, Work-life Imbalance, and Poor Mental Health: A Cross-sectional Mediation Analysis Based on the Sixth Korean Working Conditions Survey, 2020โ€“2021
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon, Jong-Uk Won
    Journal of Epidemiology.2024; 34(11): 535.     CrossRef
  • Association between long working hours and the onset of problematic alcohol use in young workers: A population-based longitudinal analysis in South Korea
    Seong-Uk Baek, Jong-Uk Won, Jin-Ha Yoon
    Journal of Affective Disorders.2024; 344: 141.     CrossRef
  • Sex differences in the association between social jetlag and hazardous alcohol consumption in Korean workers: A nationwide cross-sectional study
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Sleep Medicine.2024; 119: 549.     CrossRef
  • Association of low-quality employment with the development of suicidal thought and suicide planning in workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Social Science & Medicine.2024; 358: 117219.     CrossRef
  • Changes in Koreaโ€™s working time policy: the need for research on flexible working hours considering socioeconomic inequality
    Inah KIM
    Industrial Health.2024; 62(2): 77.     CrossRef
  • Association between long working hours and engagement in preventive healthcare services in Korean workers: Findings from the Korean National Health and Nutrition Examination Survey
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107849.     CrossRef
  • Association between long working hours and metabolic dysfunctionโ€“associated steatotic liver disease: a nationwide population-based study in Korea
    S.-U. Baek, J.-U. Won, Y.-M. Lee, J.-H. Yoon
    Public Health.2024; 232: 188.     CrossRef
  • How does working time impact perceived mental disorders? New insights into the U-shaped relationship
    Xiaoru Niu, Chao Li, Yuxin Xia
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013โ€“2021
    Seong-Uk Baek, Myeong-Hun Lim, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Nutrients.2024; 16(10): 1482.     CrossRef
  • Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012โ€“2020)
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Psychiatry Research.2024; 333: 115731.     CrossRef
  • Long working hours and preventive oral health behaviors: a nationwide study in Korea (2007โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Environmental Health and Preventive Medicine.2024; 29: 48.     CrossRef
  • Association between precarious employment and emergence of food insecurity in Korean adults: A population-based longitudinal analysis (2008โ€“2022)
    Seong-Uk Baek, Jin-Ha Yoon
    Social Science & Medicine.2024; 362: 117448.     CrossRef
  • Association of Social Jetlag with the Dietary Quality Among Korean Workers: Findings from a Nationwide Survey
    Seong-Uk Baek, Jin-Ha Yoon
    Nutrients.2024; 16(23): 4091.     CrossRef
  • Association between social jetlag and leisure-time physical activity and muscle strengthening exercise in young adults: findings from a nationally representative sample in South Korea
    S.-U. Baek, Y.-M. Lee, J.-U. Won, J.-H. Yoon
    Public Health.2024; 237: 30.     CrossRef
  • Association between husband's participation in household work and the onset of depressive symptoms in married women: A population-based longitudinal study in South Korea
    Seong-Uk Baek, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Social Science & Medicine.2024; 362: 117416.     CrossRef
  • Long Working Hours and Unhealthy Lifestyles of Workers: A Protocol for a Scoping Review
    Seong-Uk Baek, Jong-Uk Won, Jin-Ha Yoon
    Merits.2024; 4(4): 431.     CrossRef
  • Work hours and the risk of hypertension: the case of Indonesia
    Friska Aulia Dewi Andini, Adiatma Y. M. Siregar
    BMC Public Health.2024;[Epub]     CrossRef
  • The Prevalence of Traumatic Dental Injuries Due to Workplace Safety Accidents among Korean Workers by Occupational Group
    Ji-Young Son, Jae-Hyung Lim, Dong-Hun Han
    Asian Journal of Social Health and Behavior.2024; 7(3): 109.     CrossRef
  • Special Series I: Working hours as a social determinant of workersโ€™ health
    Kyunghee Jung-Choi, Tae-Won Jang, Mo-Yeol Kang, Jungwon Kim, Eun-A Kim
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • 13,392 View
  • 79 Download
  • 38 Web of Science
  • 31 Crossref
Close layer
Special Issue
Working hours and the regulations for night shift workers
Tae-Won Jang
Ann Occup Environ Med 2023;35:e19.   Published online July 5, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e19
AbstractAbstract PDFSupplementary Material

There are several types of shift work in Korea: rotating shift, 24-hour shift, day-night shift, fixed night work, and.so on. As a result of analyzing the 8th Korea National Health and Nutrition Examination Survey and the 6th Korean Working Condition Survey, Korean shift workers accounted for 11.6%โ€“13.9% of wage workers. Weekly working hours of shift workers were 57.69 ยฑ 1.73 (24-hours shift) and 49.97 ยฑ 0.67 (fixed night shift), which were significantly longer than day workers. To prevent health consequences of night work, many countries regulate the working hours of night work not to exceed 7โ€“9 hours a day. However, Korea does not regulate working hours for night work, and some occupations may work more hours than the prescribed overtime hours. To prevent health consequences and reduce working hours for Korean night shift workers, it is necessary to regulate the working hours of night shift workers by law.


Citations

Citations to this article as recorded by  
  • Gender differences in the association between long working hours and the onset of depressive symptoms in middle-aged and older workers in Korea: A population-based longitudinal study (2006โ€“2022)
    Seong-Uk Baek, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Maturitas.2025; 193: 108175.     CrossRef
  • Association of precarious employment with depressive symptoms and insomnia: Findings from the Korean Working Conditions Survey
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Psychiatric Research.2025; 181: 7.     CrossRef
  • Association of long working hours with visceral adiposity index, anthropometric indices, and weight management behaviors: a study of Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Family Practice.2025;[Epub]     CrossRef
  • Night Shift Stress: Evaluating Heart Rate Variability as a Marker in Security Guards
    Shouray Dey, A V Vinay, R Sindhu, Shishir Kumar Mahto, Sachin Kumar Patil
    Indian Journal of Occupational and Environmental Medicine.2025; 29(1): 49.     CrossRef
  • Gender discrimination in the workplace and the onset of problematic alcohol use among female wage workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • A digital, real-time, history-based sleep-management tool to enhance alertness
    Yun Min Song, Su Jung Choi, Dongju Lim, Reinatt Hansel Wijaya, Hyeong Jun Jang, Hea Ree Park, Eun Yeon Joo, Jae Kyoung Kim
    SLEEPJ.2025;[Epub]     CrossRef
  • Human Rights Condition of Informal Labors of South-Western Bangladesh: A Review
    Avijit Mallik
    Journal of Human Rights and Social Work.2025;[Epub]     CrossRef
  • Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms
    Youjin Kim, Joon Yul Choi, Evgeny Petrovskiy, Wanhyung Lee
    Frontiers in Aging Neuroscience.2025;[Epub]     CrossRef
  • The association of shift work and TyG index among male workers in a chemical plant of Korea: a cross-sectional study
    Gwangin Baek, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Jisuk Yun, Tae Jin Ahn, Eun-Chul Jang
    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107890.     CrossRef
  • Investigating night shift workersโ€™ commuting patterns using passive mobility data
    Sungho Lim, Haesung Ahn, Seungchul Shin, Dongmin Lee, Yong Hoon Kim
    Transportation Research Part A: Policy and Practice.2024; 181: 104002.     CrossRef
  • Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study
    Hye Chong Hong, Young Man Kim
    JMIR Public Health and Surveillance.2024; 10: e55014.     CrossRef
  • Sex differences in the association between social jetlag and hazardous alcohol consumption in Korean workers: A nationwide cross-sectional study
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Sleep Medicine.2024; 119: 549.     CrossRef
  • The Effect of 24 h Shift Work on the Nutritional Status of Healthcare Workers: An Observational Follow-Up Study from Tรผrkiye
    Semra Navruz Varlฤฑ, Hande MortaลŸ
    Nutrients.2024; 16(13): 2088.     CrossRef
  • Changes in Koreaโ€™s working time policy: the need for research on flexible working hours considering socioeconomic inequality
    Inah KIM
    Industrial Health.2024; 62(2): 77.     CrossRef
  • Association between precarious employment and emergence of food insecurity in Korean adults: A population-based longitudinal analysis (2008โ€“2022)
    Seong-Uk Baek, Jin-Ha Yoon
    Social Science & Medicine.2024; 362: 117448.     CrossRef
  • Special Series I: Working hours as a social determinant of workersโ€™ health
    Kyunghee Jung-Choi, Tae-Won Jang, Mo-Yeol Kang, Jungwon Kim, Eun-A Kim
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • 9,525 View
  • 59 Download
  • 18 Web of Science
  • 17 Crossref
Close layer
Special Issue
Statement by the Korean Society of Occupational and Environmental Medicine on the proposed reform of working hours in South Korea
Hee-Tae Kang, Chul-Ju Kim, Dong-Wook Lee, Seung-Gwon Park, Jinwoo Lee, Kanwoo Youn, Hwan-Cheol Kim, Kyoung Sook Jeong, Hansoo Song, Sung-Kyung Kim, Sang-Baek Koh
Ann Occup Environ Med 2023;35:e17.   Published online July 5, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e17
AbstractAbstract PDFSupplementary Material

The current 52-hour workweek in South Korea consists of 40 hours of regular work and 12 hours of overtime. Although the average working hours in South Korea is declining, it is still 199 hours longer than the Organisation for Economic Co-operation and Development average of 1,716 hours per year. In view to this, the South Korean government has now proposed to reform the workweek, mainly intending to increase the workweek to 69 hours when the workload is heavy. This reform, by increasing the labor intensity due to long working hours, goes against the global trend of reducing work hours for a safe and healthy working environment. Long working hours can lead to increased cerebrovascular and cardiovascular diseases, industrial accidents, mental health problems, and safety accidents due to lack of concentration. In conclusion, the Korean governmentโ€™s working hour reform plan can have a negative impact on workersโ€™ health, and therefore it should be thoroughly reviewed and modified.


Citations

Citations to this article as recorded by  
  • Gender differences in the association between long working hours and the onset of depressive symptoms in middle-aged and older workers in Korea: A population-based longitudinal study (2006โ€“2022)
    Seong-Uk Baek, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Maturitas.2025; 193: 108175.     CrossRef
  • Occupational disease monitoring by the Korea Occupational Disease Surveillance Center: a narrative review
    Dong-Wook Lee, Inah Kim, Jungho Hwang, Sunhaeng Choi, Tae-Won Jang, Insung Chung, Hwan-Cheol Kim, Jaebum Park, Jungwon Kim, Kyoung Sook Jeong, Youngki Kim, Eun-Soo Lee, Yangwoo Kim, Inchul Jeong, Hyunjeong Oh, Hyeoncheol Oh, Jea Chul Ha, Jeehee Min, Chul
    The Ewha Medical Journal.2025;[Epub]     CrossRef
  • Insight inTo Stress and POOping on Work TIME (ITS POO TIME): Protocol for a Web-Based, Cross-Sectional Study
    Phillip John Tully, Suzanne Cosh, Gary Wittert, Sean Martin, Andrew Vincent, Antonina Mikocka-Walus, Deborah Turnbull
    JMIR Research Protocols.2025; 14: e58655.     CrossRef
  • Association of social jetlag with cigarette smoking, smoking intensity, and quitting intentions among Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Public Health.2025; 47(3): 610.     CrossRef
  • Association between long working hours and poor cardiovascular health assessed by the American Heart Associationโ€™s โ€œLifeโ€™s essential 8โ€: findings from a nationally representative sample of Korean workers (2014โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon
    Postgraduate Medical Journal.2025; 101(1200): 980.     CrossRef
  • Association between long working hours and metabolic dysfunctionโ€“associated steatotic liver disease: a nationwide population-based study in Korea
    S.-U. Baek, J.-U. Won, Y.-M. Lee, J.-H. Yoon
    Public Health.2024; 232: 188.     CrossRef
  • Association between long working hours and engagement in preventive healthcare services in Korean workers: Findings from the Korean National Health and Nutrition Examination Survey
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107849.     CrossRef
  • Long Working Hours, Work-life Imbalance, and Poor Mental Health: A Cross-sectional Mediation Analysis Based on the Sixth Korean Working Conditions Survey, 2020โ€“2021
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon, Jong-Uk Won
    Journal of Epidemiology.2024; 34(11): 535.     CrossRef
  • Association between long working hours and the onset of problematic alcohol use in young workers: A population-based longitudinal analysis in South Korea
    Seong-Uk Baek, Jong-Uk Won, Jin-Ha Yoon
    Journal of Affective Disorders.2024; 344: 141.     CrossRef
  • Changes in Koreaโ€™s working time policy: the need for research on flexible working hours considering socioeconomic inequality
    Inah KIM
    Industrial Health.2024; 62(2): 77.     CrossRef
  • Effect of long working hours on psychological distress among young workers in different types of occupation
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2024; 179: 107829.     CrossRef
  • Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012โ€“2020)
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Psychiatry Research.2024; 333: 115731.     CrossRef
  • Long working hours and preventive oral health behaviors: a nationwide study in Korea (2007โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Environmental Health and Preventive Medicine.2024; 29: 48.     CrossRef
  • Special Series I: Working hours as a social determinant of workersโ€™ health
    Kyunghee Jung-Choi, Tae-Won Jang, Mo-Yeol Kang, Jungwon Kim, Eun-A Kim
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • Association between long working hours and cigarette smoking, leisure-time physical activity, and risky alcohol use: Findings from the Korea National Health and Nutrition Examination Survey (2014โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2023; 175: 107691.     CrossRef
  • 5,061 View
  • 26 Download
  • 16 Web of Science
  • 15 Crossref
Close layer
Original Article
Association between exposure to violence, job stress and depressive symptoms among gig economy workers in Korea
Min-Seok Kim, Juyeon Oh, Juho Sim, Byung-Yoon Yun, Jin-Ha Yoon
Ann Occup Environ Med 2023;35:e43.   Published online October 30, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e43
AbstractAbstract AbstractAbstract in Korean PDF
Background

Gig workers, also known as platform workers, are independent workers who are not employed by any particular company. The number of gig economy workers has rapidly increased worldwide in the past decade. There is a dearth of occupational health studies among gig economy workers. We aimed to investigate the association between exposure to violence and job stress in gig economy workers and depressive symptoms.

Methods

A total of 955 individuals (521 gig workers and 434 general workers) participated in this study and variables were measured through self-report questionnaires. Depressive symptoms were evaluated by the Patient Health Questionnaire-9 when the score was greater than or equal to 10 points. The odds ratio with 95% confidence interval was calculated using multivariable logistic regression adjusted for age, sex, working hours, education level, exposure to violence and job stress.

Results

19% of gig economy workers reported depressive symptoms, while only 11% of general workers reported the depressive symptoms. In association to depressive symptoms among gig economy workers, the mainly result of odds ratios for depressive symptoms were as follows: 1.81 for workers type, 3.53 for humiliating treatment, 2.65 for sexual harassment, 3.55 for less than three meals per day, 3.69 for feeling too tired to do housework after leaving work.

Conclusions

Gig economic workers are exposed to violence and job stress in the workplace more than general workers, and the proportion of workers reporting depressive symptoms is also high. These factors are associated to depressive symptoms. Furthermore, the gig workers associated between depressive symptoms and exposure to violence, job stress.

ํ•œ๊ตญ ๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž์—์„œ ํญ๋ ฅ ๋ฐ ์ง๋ฌด ์ŠคํŠธ๋ ˆ์Šค ๋…ธ์ถœ๊ณผ ์šฐ์šธ ์ฆ์ƒ๊ด€์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž ๋˜๋Š” ํ”Œ๋žซํผ ๊ทผ๋กœ์ž๋Š” ํŠน์ • ํšŒ์‚ฌ์— ๊ณ ์šฉ๋˜์ง€ ์•Š์€ ๋…๋ฆฝ์ ์ธ ๊ทผ๋กœ์ž๋“ค์„ ๋งํ•œ๋‹ค. ๊ธฑ๊ฒฝ์ œ๋Š” ๊ทธ ๊ทœ๋ชจ๊ฐ€ ์ปค์ง€๊ณ  ์žˆ๊ณ , ์ข…์‚ฌํ•˜๋Š” ๊ทผ๋กœ์ž๋“ค๋„ ๋งŽ์•„์ง€๊ณ  ์žˆ์œผ๋‚˜, ๊ธฑ๊ฒฝ์ œ ๋…ธ๋™์ž๋“ค์˜ ์‚ฐ์—… ๋ณด๊ฑด ์—ฐ๊ตฌ๊ฐ€ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์šฐ๋ฆฌ๋Š” ๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž์—์„œ ํญ๋ ฅ ๋…ธ์ถœ๊ณผ ์ง๋ฌด ์ŠคํŠธ๋ ˆ์Šค์— ๋…ธ์ถœ๋˜๋Š” ๊ฒƒ์ด ์šฐ์šธ ์ฆ์ƒ๊ณผ ์—ฐ๊ด€์„ฑ์ด ์žˆ๋Š”์ง€ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ–ˆ๋‹ค.
๋ฐฉ๋ฒ•
์ด 955๋ช…(๊ธฑ ๊ทผ๋กœ์ž 521๋ช…, ์ผ๋ฐ˜ ๊ทผ๋กœ์ž 434๋ช…)์ด ๋ณธ ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ•˜์˜€์œผ๋ฉฐ, ์šฐ์šธ ์ฆ์ƒ์€ PHQ-9(Patient Health Questionnaire-9) ์ ์ˆ˜๊ฐ€ 10์  ์ด์ƒ์ผ ๋•Œ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ํญ๋ ฅ ๋…ธ์ถœ๊ณผ ์ง๋ฌด ์ŠคํŠธ๋ ˆ์Šค๋Š” ์ž๊ธฐ๋ณด๊ณ ์‹ ์„ค๋ฌธ์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ ์ธก์ •ํ•˜์˜€๋‹ค. ์—ฐ๋ น, ์„ฑ๋ณ„, ๊ทผ๋ฌด์‹œ๊ฐ„, ๊ต์œก์ˆ˜์ค€์„ ๋ณด์ •ํ•œ ๋‹ค๋ณ€๋Ÿ‰ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ Odds Ratio, 95% Confidence Interval๋ฅผ ์‚ฐ์ถœํ–ˆ๋‹ค.
๊ฒฐ๊ณผ
๊ธฑ ๊ทผ๋กœ์ž์˜ 19%๊ฐ€ ์šฐ์šธ ์ฆ์ƒ์„ ๋ณด๊ณ ํ•œ ๋ฐ˜๋ฉด, ์ผ๋ฐ˜ ๊ทผ๋กœ์ž์˜ 11%๋งŒ์ด ์šฐ์šธ ์ฆ์ƒ์„ ๋ณด๊ณ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž์˜ ์šฐ์šธ์ƒ๊ณผ ๊ด€๋ จํ•˜์—ฌ ์šฐ์šธ์ƒ Odds ratio์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š”ํ‘œ3์—์„œ โ€˜๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์žโ€™ 1.89, โ€˜๊ตด์š•์  ์ฒ˜์šฐ ๊ฒฝํ—˜โ€™ 3.53, โ€˜์„ฑํฌ๋กฑ ๊ฒฝํ—˜โ€™ 2.65, โ€˜ํ•˜๋ฃจ ์„ธ ๋ผ ๋ฏธ๋งŒ์˜ ์‹์‚ฌโ€™ 3.55, โ€˜ํ‡ด๊ทผ ํ›„ ์ง‘์•ˆ์ผ์„ ํ•˜๊ธฐ์—” ๋„ˆ๋ฌด ํ”ผ๊ณคํ•จโ€™ 3.69๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž๋Š” ์ผ๋ฐ˜ ๊ทผ๋กœ์ž์— ๋น„ํ•ด ์ง์žฅ ๋‚ด ํญ๋ ฅ๊ณผ ์ง๋ฌด์ŠคํŠธ๋ ˆ์Šค์— ๋” ๋งŽ์ด ๋…ธ์ถœ๋˜๊ณ , ์šฐ์šธ ์ฆ์ƒ์„ ํ˜ธ์†Œํ•˜๋Š” ๊ทผ๋กœ์ž์˜ ๋น„์œจ๋„ ๋†’๋‹ค. ์ด๋Ÿฌํ•œ ์š”์ธ์€ ์šฐ์šธ ์ฆ์ƒ๊ณผ ๊ด€๋ จ์ด ์žˆ๋‹ค. ๋”์šฑ์ด, ๊ธฑ๊ฒฝ์ œ ๊ทผ๋กœ์ž๋“ค์€ ์šฐ์šธ ์ฆ์ƒ๊ณผ ํญ๋ ฅ ๋…ธ์ถœ, ์ง์—… ์ŠคํŠธ๋ ˆ์Šค์™€ ๊ด€๋ จ์ด ์žˆ๋‹ค.

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Original Article
The association of perfluoroalkyl substances (PFAS) exposure and kidney function in Korean adolescents using data from Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018โ€“2020): a cross-sectional study
Jisuk Yun, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Yong-Jin Lee
Ann Occup Environ Med 2023;35:e5.   Published online March 15, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e5
AbstractAbstract AbstractAbstract in Korean PDF
Background

Perfluoroalkyl substances (PFAS) are chemicals widely used in various products in everyday life. Due to its unique strong binding force, the half-life of PFAS is very long, so bioaccumulation and toxicity to the human body are long-standing concerns. In particular, effects on kidney function have recently emerged and there are no studies on the effect of PFAS on kidney function through epidemiological investigations in Korea. From 2018 to 2020, the Korean National Environmental Health Survey (KoNEHS) cycle 4, conducted an epidemiological investigation on the blood concentration of PFAS for the first time in Korea. Based on this data, the relationship between PFAS blood concentration and kidney function was analyzed for adolescents.

Methods

We investigated 5 types of PFAS and their total blood concentration in 811 middle and high school students, living in Korea and included in KoNEHS cycle 4, and tried to find changes in kidney function in relation to PFAS concentration. After dividing the concentration of each of the 5 PFAS and the total concentration into quartiles, multivariable linear regression was performed to assess the correlation with kidney function. The bedside Schwartz equation was used as an indicator of kidney function.

Results

As a result of multivariable linear regression, when observing a change in kidney function according to the increase in the concentration of each of the 5 PFAS and their total, a significant decrease in kidney function was confirmed in some or all quartiles.

Conclusions

In this cross-sectional study of Korean adolescents based on KoNEHS data, a negative correlation between serum PFAS concentration and kidney function was found. A well-designed longitudinal study and continuous follow-up are necessary.

์ œ 4๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ(2018-2020) ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ ๋Œ€ํ•œ๋ฏผ๊ตญ ์ฒญ์†Œ๋…„์˜ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ ๋…ธ์ถœ๊ณผ ์‹ ์žฅ๊ธฐ๋Šฅ๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„ ์—ฐ๊ตฌ
๋ชฉ์ 
๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ์€ ์ผ์ƒ์ƒํ™œ์—์„œ ๋‹ค์–‘ํ•œ ์ œํ’ˆ์— ๋„๋ฆฌ ์“ฐ์ด๋Š” ํ™”ํ•™๋ฌผ์งˆ์ด๋‹ค. ํŠน์œ ์˜ ๊ฐ•ํ•œ ๊ฒฐํ•ฉ๋ ฅ์œผ๋กœ ์ธํ•œ ๋ฐ˜๊ฐ๊ธฐ๊ฐ€ ๋งค์šฐ ๊ธธ๊ธฐ ๋•Œ๋ฌธ์— ์ด๋กœ ์ธํ•œ ์ƒ๋ฌผ๋†์ถ•๊ณผ ์ธ์ฒด์— ๋ผ์น˜๋Š” ๋…์„ฑ์ž‘์šฉ์€ ์˜ค๋žซ๋™์•ˆ ํฐ ๊ด€์‹ฌ์‚ฌ์ด๋‹ค. ์ตœ๊ทผ์—๋Š” ํŠนํžˆ ์‹ ๊ธฐ๋Šฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ์œผ๋‚˜ ๊ตญ๋‚ด์—์„œ๋Š” ๋Œ€๊ทœ๋ชจ ์—ญํ•™์กฐ์‚ฌ๋ฅผ ํ†ตํ•œ PFAS๊ฐ€ ์‹ ๊ธฐ๋Šฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ์กฐ์‚ฌ๊ฐ€ ์ „๋ฌดํ•œ ์‹ค์ •์ด๋‹ค. 2018๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์‹ค์‹œ๋œ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ๋Š” ๊ตญ๋‚ด ์ตœ์ดˆ๋กœ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ์˜ ํ˜ˆ์ค‘๋†๋„์— ๋Œ€ํ•œ ๋Œ€๊ทœ๋ชจ ์—ญํ•™์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ–ˆ๋‹ค. ์ด ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ตญ๋‚ด ์ตœ์ดˆ๋กœ ์ฒญ์†Œ๋…„์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์—ฌ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ์˜ ํ˜ˆ์ค‘๋†๋„์™€ ์‹ ์žฅ๊ธฐ๋Šฅ์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์ œ 4๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ์— ํฌํ•จ๋œ ๊ตญ๋‚ด์— ๊ฑฐ์ฃผํ•˜๋Š” ์ค‘, ๊ณ ๋“ฑํ•™์ƒ 828๋ช…์„ ๋Œ€์ƒ์œผ๋กœ 5์ข…์˜ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ์˜ ํ˜ˆ์ค‘ ๋†๋„๋ฅผ ์กฐ์‚ฌํ•˜๊ณ  ๋†๋„์— ๋”ฐ๋ฅธ ์‹ ์žฅ๊ธฐ๋Šฅ์˜ ๋ณ€ํ™”๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. 5์ข…์˜ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ ๊ฐ๊ฐ์˜ ๋†๋„์™€ ์ด ํ•ฉ์˜ ๋†๋„๋ฅผ ์‚ฌ๋ถ„์œ„์ˆ˜๋กœ ๋‚˜๋ˆˆ ํ›„ ๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์—ฌ ์‹ ๊ธฐ๋Šฅ๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋‹ค์ค‘์„ ํ˜•ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ 5์ข…์˜ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ ๊ฐ๊ฐ์˜ ๋†๋„์™€ ์ด ํ•ฉ์˜ ๋†๋„ ์ฆ๊ฐ€์— ๋”ฐ๋ผ ์ผ๋ถ€ ๋˜๋Š” ์ „์ฒด ์‚ฌ๋ถ„์œ„์ˆ˜์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์‹ ์žฅ๊ธฐ๋Šฅ์˜ ๊ฐ์†Œ๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
์ œ 4๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ๊ตญ ์ฒญ์†Œ๋…„์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์ด๋ฒˆ ๋‹จ๋ฉด์—ฐ๊ตฌ์—์„œ๋Š” ํ˜ˆ์ค‘ ๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ์˜ ๋†๋„์™€ ์‹ ๊ธฐ๋Šฅ ์‚ฌ์ด์— ์Œ์˜ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์ž˜ ์„ค๊ณ„๋œ ์ข…๋‹จ์—ฐ๊ตฌ์™€ ์ง€์†์ ์ธ ์ถ”์ ๊ด€์ฐฐ์ด ํ•„์š”ํ•˜๋‹ค.

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Special Article
Problems and suggested improvement plans for occupational health service in Korea
Dongmug Kang
Ann Occup Environ Med 2023;35:e10.   Published online May 11, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e10
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material

The purpose of this paper was to review the problems relating to Koreaโ€™s occupational health services and suggest ways to improve them. Korea can be classified as a welfare state type of conservative corporatism partially interwoven with liberalism. While experiencing compressed economic growth, the economic sectors of developed (excess areas) and developing (deficient areas) countries are interwoven. Therefore, it is necessary to perfect conservative corporatism along with a complementary reinforcement of liberal contents and to apply a multilayered approach focusing on complementing the deficient areas. It is essential to form a national representative indicator related to occupational health, and a strategy for selection and concentration is needed. The proposed central indicator is the occupational health coverage rate (OHCR), which is the number of workers who have applied for mandatory occupational health services under the Occupational Safety and Health Act in the numerator with the total working population in the denominator. This paper proposes ways to raise the OHCR, which is currently at the level of 25%โ€“40%, to 70%โ€“80%, which is the level of Japan, Germany, and France. To achieve this target, it is necessary to focus on small businesses and vulnerable workers. This is an area of market failure and requires the active input of community-oriented public resources. For access to larger workplaces, the marketability of services should be strengthened and personal intervention using digital health resources should be actively attempted. Taking a national perspective, work environment improvement committees with tripartite (labor, management, and government) participation for improvement of the working environment need to be established at the center and in the regions. Through this, prevention funds linked to industrial accident compensation and prevention could be used efficiently. A national chemical substance management system must be established to monitor the health of workers and the general public.

ํ•œ๊ตญ์˜ ์ง์—…๋ณด๊ฑด์„œ๋น„์Šค์˜ ๋ฌธ์ œ์ ๊ณผ ๊ฐœ์„  ๋ฐฉ์•ˆ
ํ•œ๊ตญ์˜ ์ง์—…๋ณด๊ฑด์„œ๋น„์Šค์˜ ๋ฌธ์ œ์ ์„ ์‚ดํŽด๋ณด๊ณ  ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ฐœ๊ฐ„๋œ ๋…ผ๋ฌธ๊ณผ ๋ณด๊ณ ์„œ ๋ฐ 2022๋…„์˜ ์‚ฐ์—…๋ณด๊ฑดํ™˜๊ฒฝ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๋Œ€์‘๋ฐฉ์•ˆ ์—ฐ๊ตฌ(์ •์ฑ…ํฌ๋Ÿผ)1์˜ ๊ฒฐ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ํ•œ๊ตญ์€ ๋ณด์ˆ˜์ ์กฐํ•ฉ์ฃผ์˜๋ฅผ ๊ทผ๊ฐ„์œผ๋กœ ํ•œ ์ž์œ ์ฃผ์˜๊ฐ€ ๊ฐ€๋ฏธ๋œ ํ˜•ํƒœ์˜ ๋ณต์ง€๊ตญ๊ฐ€์œ ํ˜•์œผ๋กœ ๋ถ„๋ฅ˜ํ•  ์ˆ˜ ์žˆ๊ณ , ์••์ถ•์  ๊ฒฝ์ œ์„ฑ์žฅ์„ ๊ฒฝํ—˜ํ•˜๋ฉด์„œ ์„ ์ง„๊ตญ๊ณผ ๊ฐœ๋ฐœ๋„์ƒ๊ตญ์˜ ์˜์—ญ์ด ์„ž์—ฌ ์žˆ์–ด ๊ณผ์ž‰๊ณผ ๊ฒฐํ•์ด ํ˜ผ์žฌ๋˜์–ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ•œ๊ตญ์˜ ์ง์—…๋ณด๊ฑด์„œ๋น„์Šค์˜ ๋ฐœ์ „์„ ์œ„ํ•ด์„œ๋Š” ๋ณด์ˆ˜์กฐํ•ฉ์ฃผ์˜์  ์™„์„ฑ๋„๋ฅผ ๋†’์ด๋ฉด์„œ ๋ถ€์ˆ˜์ ์œผ๋กœ ์ž์œ ์ฃผ์˜์  ๋‚ด์šฉ์„ ๋ณด์™„ํ•˜์—ฌ์•ผ ํ•˜๋ฉฐ, ๋™์ผํ•œ ๋ฐœ์ „๋‹จ๊ณ„์— ๋Œ€ํ•œ ๋‹จ์ผํ•œ ์ ‘๊ทผ๋ฒ• ๋ณด๋‹ค๋Š” ๊ฒฐํ•์˜์—ญ์— ๋Œ€ํ•œ ๋ณด์™„์„ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ์ค‘์ธต์  ์ ‘๊ทผ๋ฒ•์ด ํ•„์š”ํ•˜๋‹ค. ์ง์—…๋ณด๊ฑด๊ด€๋ จ ์ค‘์‹ฌ์  ์ง€ํ‘œ๋ฅผ ํ˜•์„ฑํ•˜๊ณ  ์ด์— ๋Œ€ํ•œ ์„ ํƒ๊ณผ ์ง‘์ค‘์ „๋žต์ด ํ•„์š”ํ•˜๋ฉฐ, ์ค‘์‹ฌ์ง€ํ‘œ๋กœ๋Š” ํ˜„์žฌ 25~40% ์ˆ˜์ค€์— ๋จธ๋ฌผ๋Ÿฌ ์žˆ๋Š” ์ง์—…๋ณด๊ฑด ์ ์šฉ์œจ์„ ๋…์ผ, ํ”„๋ž‘์Šค, ์ผ๋ณธ ์ˆ˜์ค€์ธ 70~80% ์ˆ˜์ค€์œผ๋กœ ์ œ๊ณ ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ์‚ผ๊ธฐ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ด๋ ‡๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์†Œ๊ทœ๋ชจ ์‚ฌ์—…์žฅ๊ณผ ์ทจ์•ฝํ•œ ๋…ธ๋™์ž์— ๋Œ€ํ•ด ์ง‘์ค‘ํ•˜์—ฌ์•ผ ํ•˜๋ฉฐ, ์ด ์˜์—ญ์€ ์‹œ์žฅ์‹คํŒจ์˜์—ญ์œผ๋กœ์„œ ์ง€์—ญ์ค‘์‹ฌ์˜ ๊ณต๊ณต์ž์›์˜ ์ ๊ทน์  ํˆฌ์ž…์ด ํ•„์š”ํ•œ๋ฐ, ์ „๊ตญ ๋ณด๊ฑด์†Œ ์ˆซ์ž์ธ 256๊ฐœ ์ •๋„์˜ ์ง€์—ญ์— ์ง€์—ญ ์ง์—…๋ณด๊ฑด ์ง€์›์„ผํ„ฐ๋ฅผ ๊ฑด๋ฆฝํ•  ๊ฒƒ์„ ์ œ์•ˆํ•œ๋‹ค. ์ค‘๊ทœ๋ชจ ์ด์ƒ์˜ ์‚ฌ์—…์žฅ์— ๋Œ€ํ•œ ์ ‘๊ทผ์œผ๋กœ๋Š” ์„œ๋น„์Šค์˜ ์ˆ˜์š”์— ๊ธฐ๋ฐ˜ํ•œ ์‹œ์žฅ์„ฑ์„ ๊ฐ•ํ™”ํ•˜๊ณ  ๋””์ง€ํ„ธํ—ฌ์Šค๋ฅผ ์ด์šฉํ•œ ๊ฐœ์ธ์˜์—ญ์˜ ์ค‘์žฌ๋ฅผ ์ ๊ทน ์‹œ๋„ํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ์ „๊ตญ์ ์ฐจ์›์—์„œ ์‚ฌ์—…์žฅ ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ๊ณผ ์ค‘์žฌ๋ฅผ ์œ„ํ•œ ๋…ธ์‚ฌ์ •์ด ์ฐธ์—ฌํ•˜๋Š” ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์œ„์›ํšŒ๋ฅผ ์ค‘์•™๊ณผ ์ง€์—ญ์— ์„ค์น˜ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์‚ฐ์žฌ๋ณด์ƒ๊ณผ ์˜ˆ๋ฐฉ์„ ์—ฐ๊ณ„ํ•œ ์˜ˆ๋ฐฉ๊ธฐ๊ธˆ์„ ํšจ์œจ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋„๋ก ํ•œ๋‹ค. ๊ตญ๊ฐ€ ์ฐจ์›์˜ ํ™”ํ•™๋ฌผ์งˆ ๊ด€๋ฆฌ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ , ๊ทผ๋กœ์ž์™€ ์ผ๋ฐ˜๊ตญ๋ฏผ์˜ ๊ฑด๊ฐ•์„ ๋ชจ๋‹ˆํ„ฐ๋งํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค

Citations

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Original Article
The impact of long working hours on daily sodium intake
Kyungho Ju, Yangwoo Kim, Seung Hee Woo, Juhyeong Kim, Inah Kim, Jaechul Song, Soo-Jin Lee, Jeehee Min
Ann Occup Environ Med 2024;36:e9.   Published online April 1, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e9
AbstractAbstract AbstractAbstract in Korean PDF
Background

Long working hours are associated with an increased risk of cardiovascular disease, yet the underlying mechanism(s) remain unclear. The study examines how occupational factors like working hours, shift work, and employment status correlate with dietary choices and sodium intake, impacting hypertension risk.

Methods

This study used data from the Korea National Health and Nutrition Examination Survey conducted between 2013 and 2020. The dataset included 8,471 respondents, all of whom were wage workers aged 20 or older and reported working at least 36 hours per week. Individuals who have been previously diagnosed with or are currently diagnosed with hypertension, diabetes, or dyslipidemia were excluded. The average daily sodium intake was assessed via a 24-hour dietary recall method. Average weekly working hours were categorized into 3 groups: 36โ€“40 hours, 41โ€“52 hours, and over 52 hours. Multiple logistic regression models were used.

Results

Study findings revealed that 83.7% of participants exceeded the recommended daily sodium intake of 2 g set by the World Health Organization. After adjusting for confounding factors, a positive correlation was observed between average working hours and daily sodium intake. Among males, statistical significance was found in the group with average weekly working hours of 41โ€“52 hours (prevalence ratio [PR]: 1.17; 95% confidence interval [CI]: 1.05โ€“1.30) and the group exceeding 52 hours (PR: 1.22; 95% CI: 1.09โ€“1.38) when comparing the fourth quartile of daily sodium intake to the combined quartiles of Q1, Q2, and Q3. Among females, no significance was noted.

Conclusions

Long working hours were associated with increased sodium intake, primarily among male workers. This connection is likely attributed to having less time for home-cooked meals, resulting in higher fast food consumption and dining out. A workplace intervention promoting healthy eating and reducing stress is essential to lower sodium consumption and mitigate hypertension risk.

์žฅ์‹œ๊ฐ„ ๊ทผ๋ฌด๊ฐ€ ์ผ์ผ ์†Œ๋“ ์„ญ์ทจ๋Ÿ‰์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ
๋ชฉ์ 
์žฅ์‹œ๊ฐ„ ๊ทผ๋ฌด๋Š” ์‹ฌํ˜ˆ๊ด€ ์งˆํ™˜์˜ ์ฆ๊ฐ€์™€ ๊ด€๋ จ์ด ์žˆ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ์ง€๋งŒ, ๊ทธ ๋ฉ”์ปค๋‹ˆ์ฆ˜์€ ๋ช…ํ™•ํžˆ ์•Œ๋ ค์ ธ ์žˆ์ง€ ์•Š๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผ๋‹น ํ‰๊ท  ๊ทผ๋กœ์‹œ๊ฐ„, ๊ต๋Œ€๊ทผ๋ฌด ๋ฐ ๊ณ ์šฉ ํ˜•ํƒœ ๋“ฑ์˜ ์ง์—…์  ์š”์ธ๊ณผ ์‹์Šต๊ด€ ๋ณ€ํ™” ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜๊ณ , ํŠนํžˆ ๊ณ ํ˜ˆ์••์˜ ์•Œ๋ ค์ง„ ์œ„ํ—˜ ์š”์ธ์ธ ๊ณผ๋‹คํ•œ ์†Œ๋“ ์„ญ์ทจ์™€์˜ ๊ด€๋ จ์„ฑ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” 2013๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์‹ค์‹œ๋œ ๋Œ€ํ•œ๋ฏผ๊ตญ ๊ตญ๋ฏผ๊ฑด๊ฐ•์˜์–‘์กฐ์‚ฌ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์ž๋Š” 20์„ธ ์ด์ƒ์˜ ์ž„๊ธˆ ๊ทผ๋กœ์ž, ์ฃผ๋‹น ์ตœ์†Œ 36์‹œ๊ฐ„ ์ด์ƒ ๊ทผ๋ฌดํ•˜๋Š” ์ž๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์ด ์™ธ์—๋„ ๋‹ค์–‘ํ•œ ์ธ๊ตฌํ•™์ , ์ง์—… ๋ณ€์ˆ˜๊ฐ€ ์„ค๋ฌธ ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์ˆ˜์ง‘๋˜์—ˆ์œผ๋ฉฐ, ํ‰๊ท  ์ผ์ผ ์†Œ๋“ ์„ญ์ทจ๋Ÿ‰์€ 24์‹œ๊ฐ„ ํšŒ์ƒ๋ฒ•์„ ํ†ตํ•ด ์กฐ์‚ฌ๋˜์—ˆ๋‹ค. ์ฃผ๋‹น ํ‰๊ท  ๊ทผ๋ฌด ์‹œ๊ฐ„์€ 36-40์‹œ๊ฐ„, 41-52์‹œ๊ฐ„ ๋ฐ 52์‹œ๊ฐ„ ์ด์ƒ์˜ ์„ธ ์ง‘๋‹จ์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ชจ๋ธ์ด ๋ถ„์„์— ์‚ฌ์šฉ๋˜์—ˆ๋‹ค.
๊ฒฐ๊ณผ
์—ฐ๊ตฌ๋Œ€์ƒ์ž ์ค‘ 83.7%๊ฐ€ ์„ธ๊ณ„๋ณด๊ฑด๊ธฐ๊ตฌ(WHO)์—์„œ ๊ถŒ์žฅํ•œ ์ผ์ผ ๋‚˜ํŠธ๋ฅจ ์„ญ์ทจ๋Ÿ‰์ธ 2g์„ ์ดˆ๊ณผํ•œ ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ต๋ž€๋ณ€์ˆ˜ ๋ณด์ • ํ›„์—๋„ ์ฃผ๋‹น ํ‰๊ท  ๊ทผ๋กœ์‹œ๊ฐ„๊ณผ ์ผ์ผ ์†Œ๋“ ์„ญ์ทจ ๊ฐ„์˜ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋‚จ์„ฑ์— ๋Œ€ํ•˜์—ฌ, ์ฃผ๋‹น ํ‰๊ท  ๊ทผ๋ฌด ์‹œ๊ฐ„์ด 41-52์‹œ๊ฐ„์ธ ๊ทธ๋ฃน (PR: 1.17, 95% CI: 1.05-1.30)๊ณผ 52์‹œ๊ฐ„์„ ์ดˆ๊ณผํ•œ ๊ทธ๋ฃน (PR: 1.22, 95% CI: 1.09-1.38)์ด ์ผ์ผ ์†Œ๋“ ์„ญ์ทจ๋Ÿ‰ 4๋ถ„์œ„์—์„œ 1, 2, 3๋ถ„์œ„๋ฅผ ํฌํ•จํ•œ ๊ทธ๋ฃน๊ณผ์™€ ๋น„๊ตํ•˜์—ฌ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ๊ด€๋ จ์ด ์žˆ์—ˆ๋‹ค. ์—ฌ์„ฑ์— ๋Œ€ํ•˜์—ฌ๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜์ง€ ์•Š์•˜๋‹ค.
๊ฒฐ๋ก 
์žฅ์‹œ๊ฐ„ ๊ทผ๋ฌด๋Š” ์ฃผ๋กœ ๋‚จ์„ฑ ๊ทผ๋กœ์ž์—์„œ ์†Œ๋“ ์„ญ์ทจ ์ฆ๊ฐ€์™€ ๊ด€๋ จ์ด ์žˆ์—ˆ๋‹ค. ์ด๋Š” ๊ฐ€์ •์—์„œ ์กฐ๋ฆฌํ•˜๋Š” ์‹œ๊ฐ„์ด ์ค„์–ด๋“ค์–ด ํŒจ์ŠคํŠธ ํ‘ธ๋“œ ๋ฐ ์™ธ์‹ ์†Œ๋น„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์— ๊ธฐ์ธํ•œ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. ๊ณผ๋Ÿ‰์˜ ์†Œ๋“ ์„ญ์ทจ๋Š” ๊ณ ํ˜ˆ์••์˜ ์•Œ๋ ค์ง„ ์œ„ํ—˜ ์š”์ธ์ด๋ฏ€๋กœ, ์ง์žฅ์—์„œ์˜ ์ ๊ทน์ ์ธ ๊ฐœ์ž…์„ ํ†ตํ•ด, ๋” ๊ฑด๊ฐ•ํ•œ ์‹์Šต๊ด€๊ณผ ๊ฐœ์„ ๋œ ๊ทผ๋ฌด ํ™˜๊ฒฝ์„ ํ†ตํ•ด ์†Œ๋“ ์„ญ์ทจ๋ฅผ ์ค„์ด๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค.

Citations

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  • Association of long working hours with visceral adiposity index, anthropometric indices, and weight management behaviors: a study of Korean workers
    Seong-Uk Baek, Jin-Ha Yoon
    Family Practice.2025;[Epub]     CrossRef
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    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • Association between long working hours and poor cardiovascular health assessed by the American Heart Associationโ€™s โ€œLifeโ€™s essential 8โ€: findings from a nationally representative sample of Korean workers (2014โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon
    Postgraduate Medical Journal.2025;[Epub]     CrossRef
  • Association Between Food Insecurity and Poor Cardiovascular Health Assessed by the Lifeโ€™s Essential 8 Metric: A Population-Based Study of Korean Adults
    Seong-Uk Baek, Jin-Ha Yoon
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  • OECD รœlkelerinde Kadฤฑn SaฤŸlฤฑฤŸฤฑ AraลŸtฤฑrmalarฤฑnฤฑn: EฤŸilimlerini Analiz Etmek, BoลŸluklarฤฑ ve Gelecek Yรถnelimlerini Belirlemek
    Merve Tekinarslan
    KutBilim Sosyal Bilimler ve Sanat Dergisi.2025; 5(1): 19.     CrossRef
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    Nutrients.2025; 17(14): 2372.     CrossRef
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    Hyung Doo Kim, Tae-Won Jang
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  • Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013โ€“2021
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Original Article
Mediation analysis of chronotype, sleep-related factors, and depressive symptoms among workers: a cross-sectional study
Seo Young Kim, Hyo Jeong Kim, Seong-Sik Cho, Min Young Park, Mo-Yeol Kang
Ann Occup Environ Med 2023;35:e47.   Published online November 20, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e47
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

This study aimed to examine the impact of chronotype on depressive symptoms and explore the mediating effects of sleep quality, pre-sleep cognitive arousal, and social jetlag in a sample of wage earners.

Methods

A total of 3,917 waged workers were surveyed online in July 2022. Logistic regression and mediation analysis were used to assess the relationship between chronotype (morningness, intermediate, and eveningness) and depressive symptoms (Patient Health Questionnaire โ‰ฅ 5), and the mediating effects of Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Pre-Sleep Arousal Scale (PSAS). All analyses were adjusted for age, education level, income level, marital status, coffee consumption, alcohol consumption, physical activity, occupation, employment status, and working hours to calculate odds ratios (ORs).

Results

The chronotypes of all the participants were divided into morningness (4.7%), intermediate (93.5%), and eveningness (1.8%). Multiple logistic regression analysis showed an increased risk of depression in the eveningness chronotype (OR: 2.96; 95% confidence interval [CI]: 1.51, 5.86). Regarding the mediation analysis, ISI mediated 28.44% (95% CI: 16.39โ€“40.5), PSQI for 31.25% (95% CI: 19.36, 43.15), and PSAS-Cognitive Score (PSAS-C) for 23.58% (95% CI: 10.66, 36.50) of the association between chronotype and depressive symptoms. However, social jetlag did not significantly mediate this relationship. (percentage mediated = 0.75%, 95% CI: โˆ’3.88, 5.39)

Conclusions

Evening chronotypes exhibit an increased risk of depressive symptoms, which ISI, PSQI, and PSAS-C partially mediated. This suggests that interventions to improve sleep quality and maintain adequate sleep habits may effectively prevent and treat depression in employees with an eveningness chronotype.

์ง์žฅ์ธ์˜ ํฌ๋กœ๋…ธํƒ€์ž…์ด ์šฐ์šธ ์ฆ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ์ˆ˜๋ฉด ๊ด€๋ จ ์š”์ธ์˜ ๋งค๊ฐœ ๋ถ„์„
๋ชฉ์ 
๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋‚ด ์ž„๊ธˆ ๊ทผ๋กœ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํฌ๋กœ๋…ธํƒ€์ž…์ด ์šฐ์šธ ์ฆ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ์ˆ˜๋ฉด์˜ ์งˆ, ์ˆ˜๋ฉด ์ „ ์ธ์ง€์  ๊ฐ์„ฑ, ์‚ฌํšŒ์  ์‹œ์ฐจ ๋“ฑ์˜ ๋งค๊ฐœ ํšจ๊ณผ์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
2022๋…„ 7์›” ์˜จ๋ผ์ธ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ๋ชจ์ง‘ํ•œ ๋งŒ 19์„ธ ์ด์ƒ์˜ ์ž„๊ธˆ ๊ทผ๋กœ์ž 3917๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์œผ๋กœ ์„ฑ๋ณ„์„ ์ธตํ™”ํ•˜์—ฌ ํฌ๋กœ๋…ธํƒ€์ž… (์•„์นจํ˜•, ์ค‘๊ฐ„ํ˜•, ์ €๋…ํ˜•)๊ณผ ์šฐ์šธ์ฆ์ƒ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณธ ํ›„, ๋งค๊ฐœํšจ๊ณผ ๋ถ„์„์„ ํ†ตํ•ด ๋ถˆ๋ฉด์ฒ™๋„, ์ˆ˜๋ฉด์˜ ์งˆ, ์ˆ˜๋ฉด ์ „ ๊ฐ์„ฑ ์ฒ™๋„, ์‚ฌํšŒ์  ์‹œ์ฐจ์˜ ๊ฐ๊ฐ์˜ ์šฐ์šธ ์ฆ์ƒ์— ๋Œ€ํ•œ ๋งค๊ฐœ ํšจ๊ณผ๋ฅผ ๊ณ„์‚ฐํ–ˆ๋‹ค. ๋ชจ๋“  ๋ถ„์„์€ ์—ฐ๋ น, ๊ต์œก์ˆ˜์ค€, ์†Œ๋“, ๊ฒฐํ˜ผ ์—ฌ๋ถ€, ๋™๊ฑฐ์ธ ์—ฌ๋ถ€, ์ปคํ”ผ, ํก์—ฐ, ์Œ์ฃผ, ์‹ ์ฒดํ™œ๋™, ์ง์ข…, ๊ณ ์šฉํ˜•ํƒœ, ๊ทผ๋ฌด ์‹œ๊ฐ„์„ ๋ณด์ •ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์ฐธ๊ฐ€์ž๋Š” ์•„์นจํ˜•(4.7%), ์ค‘๊ฐ„ํ˜•(93.5%), ์ €๋…ํ˜•(1.8%)์œผ๋กœ ๋‚˜๋‰˜์—ˆ๋‹ค. ์ธ๊ตฌ์‚ฌํšŒํ•™์  ํŠน์„ฑ ๋ฐ ์—…๋ฌด ๊ด€๋ จ ์š”์ธ์„ ํ†ต์ œํ•œ ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ, ์ €๋…ํ˜• ๊ทธ๋ฃน์—์„œ ์šฐ์šธ์ฆ์ƒ ์˜ค์ฆˆ๋น„๋Š” 2.95 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.51โ€“5.86)๋กœ ์•„์นจํ˜• ๊ทธ๋ฃน์— ๋น„ํ•ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งค๊ฐœ ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ ๋ถˆ๋ฉด ์ฒ™๋„๋Š” 28.44% (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„ 16.39โ€“40.5), ์ˆ˜๋ฉด์˜ ์งˆ์€ 31.25% (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„ 19.36โ€“43.15), ์ˆ˜๋ฉด ์ „ ์ธ์ง€์  ๊ฐ์„ฑ์ฒ™๋„์€ 23.58% (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„ 10.66โ€“36.50)๋ฅผ ๋งค๊ฐœํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‚ฌํšŒ์  ์‹œ์ฐจ๋Š” ๋งค๊ฐœ ํšจ๊ณผ๊ฐ€ 0.75% (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„ -3.88โ€“5.39)๋กœ ์œ ์˜ํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์ €๋…ํ˜• ํฌ๋กœ๋…ธํƒ€์ž…์„ ๊ฐ€์ง„ ๊ทผ๋กœ์ž๋“ค์ด ์•„์นจํ˜• ๊ทผ๋กœ์ž๋ณด๋‹ค ์šฐ์šธ์ฆ์ƒ์˜ ์œ„ํ—˜๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด์— ๋Œ€ํ•œ ๋งค๊ฐœ ํšจ๊ณผ ๋ถ„์„์—์„œ๋Š” ๋ถˆ๋ฉด ์ฒ™๋„, ์ˆ˜๋ฉด์˜ ์งˆ๊ณผ ์ˆ˜๋ฉด ์ „ ์ธ์ง€์  ๊ฐ์„ฑ์ด ์šฐ์šธ ์ฆ์ƒ์„ ๋ถ€๋ถ„์ ์œผ๋กœ ๋งค๊ฐœํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ €๋…ํ˜• ํฌ๋กœ๋…ธํƒ€์ž… ๊ทผ๋กœ์ž๋“ค๊ณผ ๊ฐ™์€ ์šฐ์šธ์ฆ์˜ ์ƒ๋Œ€์  ๊ณ ์œ„ํ—˜๊ตฐ์—์„œ ์ˆ˜๋ฉด์˜ ์งˆ์„ ๊ฐœ์„ ํ•˜๊ณ  ์ˆ˜๋ฉด ์Šต๊ด€์„ ์ ์ ˆํžˆ ์œ ์ง€ํ•˜๋„๋ก ๊ฐœ์ž…ํ•˜๋Š” ๊ฒƒ์ด ์šฐ์šธ์ฆ์˜ ์˜ˆ๋ฐฉ ๋ฐ ์น˜๋ฃŒ์— ํšจ๊ณผ์ ์ผ ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.

Citations

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  • Data profile: Korean Work, Sleep, and Health Study (KWSHS)
    Seong-Sik Cho, Jeehee Min, Heejoo Ko, Mo-Yeol Kang
    Ann Occup Environ Med.2025; 37: e3.     CrossRef
  • Increased risk of herpes zoster associated with stress and sleep deprivation: Evidence from korea health panel survey
    Youjin Kim, Wanhyung Lee
    Journal of Psychiatric Research.2025; 184: 333.     CrossRef
  • Validation of the Norwegian version of the Munich ChronoType Questionnaire for shift workers (MCTQ Shift )
    Line Victoria Moen, Tarjei L. Rysstad, Jenny-Anne S. Lie, Fred Haugen, Dagfinn Matre
    Chronobiology International.2025; : 1.     CrossRef
  • Work ability and health-related productivity loss by chronotype: Results from population-based panel study
    Heejoo Ko, Seong-Sik Cho, Mo-Yeol Kang
    Sleep Health.2025;[Epub]     CrossRef
  • The prevalence and clinical correlation factors of cognitive impairment in patients with major depressive disorder hospitalized during the acute phase
    Huiyuan Zhao, Jinhong Chen
    Frontiers in Psychiatry.2024;[Epub]     CrossRef
  • Association between the safety climate and occupational injury in the Korean working population: a cross-sectional study
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Special Issue
The impacts of working time flexibilization on occupational safety and health: an expert survey
Daseul Moon, Hyunjoo Kim
Ann Occup Environ Med 2023;35:e20.   Published online July 20, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e20
AbstractAbstract PDFSupplementary Material

The policy proposal by the current Korean government that proposes flexible overtime rules is causing social controversy. This study has explored the 612 expertsโ€™ opinions on the occupational safety and health impacts of the policy using an online self-report survey. They expected short-term overwork (87.25%), overwork inequality (86.44%), irregular working hours (84.31%), chronic overwork (84.15%), long working hours (83.66%), and unpredictability of working hours (81.86%) as a result of the policy change. They also responded that the policy change would increase industrial accident deaths (87.25%), mental illnesses (87.09%), deaths due to overwork or cardiovascular diseases (83.84%), and accidents (83.33%). They disagreed that the governmentโ€™s flexibilization policy, while agreeing that the necessity of policies on regulating night work (94.77%), guaranteeing wages to eliminate overtime (90.36%), establishing working time regulations for the bogus self-employed (82.84%), and applying the 52-hour workweek system to all workplaces (76.47%). These expert opinions are consistent with previous research on the health effects of working hours.


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    Preventive Medicine.2024; 180: 107849.     CrossRef
  • Effect of long working hours on psychological distress among young workers in different types of occupation
    Seong-Uk Baek, Jin-Ha Yoon
    Preventive Medicine.2024; 179: 107829.     CrossRef
  • Association between long working hours and diet quality and patterns: A latent profile analysis of a nationally representative sample of Korean workers
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107890.     CrossRef
  • Association of precarious employment with depressive symptoms and suicidal ideation among female workers: Findings from a nationwide longitudinal study in Korea
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Journal of Affective Disorders.2024; 351: 931.     CrossRef
  • Association between long working hours and metabolic dysfunctionโ€“associated steatotic liver disease: a nationwide population-based study in Korea
    S.-U. Baek, J.-U. Won, Y.-M. Lee, J.-H. Yoon
    Public Health.2024; 232: 188.     CrossRef
  • Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012โ€“2020)
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Psychiatry Research.2024; 333: 115731.     CrossRef
  • Association of low-quality employment with the development of suicidal thought and suicide planning in workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Social Science & Medicine.2024; 358: 117219.     CrossRef
  • Long working hours and preventive oral health behaviors: a nationwide study in Korea (2007โ€“2021)
    Seong-Uk Baek, Jin-Ha Yoon, Yu-Min Lee, Jong-Uk Won
    Environmental Health and Preventive Medicine.2024; 29: 48.     CrossRef
  • Special Series I: Working hours as a social determinant of workersโ€™ health
    Kyunghee Jung-Choi, Tae-Won Jang, Mo-Yeol Kang, Jungwon Kim, Eun-A Kim
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
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Original Article
Association between serum perfluoroalkyl substances concentrations and non-alcoholic fatty liver disease among Korean adults: a cross-sectional study using the National Environmental Health Survey cycle 4
Yong Tae Park, Eui Yup Chung, Chang Ho Chae, Young Hoon Lee
Ann Occup Environ Med 2024;36:e10.   Published online April 8, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e10
AbstractAbstract AbstractAbstract in Korean PDF
Background

Perfluoroalkyl substances (PFAS) are widely used in industry and daily life due to their useful properties. They have a long half-life, accumulate in the body, and there is evidence that they are associated with biomarkers of lipid metabolism and liver damage. This may suggest non-alcoholic fatty liver disease (NAFLD) caused by PFAS. However, since there has been no study analyzing the relationship between PFAS and NAFLD in the entire population in Korea. We sought to confirm the relationship between serum PFAS concentration and NAFLD prevalence in Korean adults using the Korean National Environmental Health Survey (KoNEHS) cycle 4.

Methods

The study was conducted on 2,529 subjects in 2018โ€“2019 among KoNEHS participants. For the diagnosis of NAFLD, the hepatic steatosis index (HSI) was used, and the geometric mean and concentration distribution of serum PFAS were presented. Logistic regression was performed to confirm the increase in the risk of NAFLD due to changes in PFAS concentration, and the odds ratio and 95% confidence interval (CI) were calculated.

Results

In both adjusted and unadjusted models, an increased odds ratio was observed with increasing serum concentrations of total PFAS and perfluorooctane sulfonate (PFOS) in the non-obese group. In the adjusted model, the odds ratios for serum total PFAS and PFOS were 6.401 (95% CI: 1.883โ€“21.758) and 7.018 (95% CI: 2.688โ€“18.319).

Conclusions

In this study, a higher risk of NAFLD based on HSI was associated with serum total PFAS, PFOS in non-obese group. Further research based on radiological or histological evidence for NAFLD diagnosis and long-term prospective studies are necessary. Accordingly, it is necessary to find ways to reduce exposure to PFAS in industry and daily life.

๋Œ€ํ•œ๋ฏผ๊ตญ ์„ฑ์ธ์˜ ํ˜ˆ์ฒญ ๊ณผ๋ถˆํ™”ํ™”ํ•ฉ๋ฌผ ๋†๋„์™€ ๋น„์•Œ์ฝ”์˜ฌ์„ฑ ์ง€๋ฐฉ๊ฐ„ ์งˆํ™˜์˜ ์—ฐ๊ด€์„ฑ : ์ œ4๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ๋ฅผ ์ด์šฉํ•œ ๋‹จ๋ฉด์—ฐ๊ตฌ
๋ชฉ์ 
๊ณผ๋ถˆํ™” ํ™”ํ•ฉ๋ฌผ(์ดํ•˜ PFAS)๋Š” ๊ทธ ์œ ์šฉํ•œ ํŠน์„ฑ๋“ค๋กœ ์ธํ•˜์—ฌ ์‚ฐ์—… ๋ฐ ์ผ์ƒ์ƒํ™œ์— ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” ๋ฌผ์งˆ์ด๋‹ค. ์ด๋“ค์€ ๊ธด ๋ฐ˜๊ฐ๊ธฐ๋ฅผ ์ง€๋…€ ์ƒ์ฒด ๋‚ด์— ์ถ•์ ๋˜๋ฉฐ, ์ง€์งˆ ๋Œ€์‚ฌ ๋ฐ ๊ฐ„ ์†์ƒ์˜ ๋ฐ”์ด์˜ค๋งˆ์ปค๋“ค๊ณผ ์—ฐ๊ด€์ด ์žˆ๋‹ค๋Š” ์—ฌ๋Ÿฌ ์ฆ๊ฑฐ๋“ค์ด ์žˆ๋‹ค. ์ด๋Š” PFAS์™€ ๋น„์•Œ์ฝ”์˜ฌ์„ฑ ์ง€๋ฐฉ๊ฐ„(์ดํ•˜ NAFLD)์˜ ์—ฐ๊ด€์„ฑ์„ ์‹œ์‚ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ตญ๋‚ด ์ „์ฒด ์ธ๊ตฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ PFAS์™€ NAFLD๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋Š” ์—†์—ˆ๊ธฐ์— ์ œ4์ฃผ๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋Œ€ํ•œ๋ฏผ๊ตญ ์„ฑ์ธ์—์„œ ํ˜ˆ์ฒญ PFAS์˜ ๋†๋„์™€ NAFLD ์œ ๋ณ‘๋ฅ  ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์ œ4์ฃผ๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ฐธ์—ฌ์ž ์ค‘ 2018-2019๋…„ ๋Œ€์ƒ์ž 2595๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. NAFLD์˜ ์ง„๋‹จ์„ ์œ„ํ•ด Hepatic Steatosis Index(์ดํ•˜ HSI)๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ํ˜ˆ์ฒญ PFAS์˜ ๊ธฐํ•˜ํ‰๊ท  ๋ฐ ๋†๋„ ๋ถ„ํฌ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. PFAS์˜ ๋†๋„ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ NAFLD์˜ ์œ„ํ—˜๋„ ์ฆ๊ฐ€๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€์œผ๋ฉฐ ์ด์— ๋Œ€ํ•œ ๊ต์ฐจ๋น„์™€ 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์กฐ์ •๋˜์ง€ ์•Š์€ ๋ชจ๋ธ ๋ฐ ์กฐ์ •๋œ ๋ชจ๋ธ์˜ ๋น„๋งŒํ•˜์ง€ ์•Š์€ ๊ทธ๋ฃน์—์„œ ํ˜ˆ์ฒญ ์ด PFAS, PFOS์˜ ๋†๋„ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ๊ต์ฐจ๋น„์˜ ์ฆ๊ฐ€๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์กฐ์ •๋œ ๋ชจ๋ธ์—์„œ ํ˜ˆ์ฒญ ์ด PFAS ๋ฐ PFOS์˜ ๊ต์ฐจ๋น„๋Š” ๊ฐ๊ฐ 6.401 (95% CI 1.883โ€“21.758) and 7.018 (95% CI 2.688-18.319)์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ์—์„œ HSI์— ๊ธฐ์ดˆํ•œ NAFLD์˜ ๋” ๋†’์€ ์œ„ํ—˜์€ ๋น„๋งŒํ•˜์ง€ ์•Š์€ ๊ตฐ์—์„œ ํ˜ˆ์ฒญ ์ด PFAS ๋ฐ PFOS์™€ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์„ ๋ณด์˜€๋‹ค. PFAS์— ์˜ํ•œ NAFLD ๋ฐœ์ƒ์˜ ์œ„ํ—˜์— ๋Œ€ํ•œ ์˜์ƒ ๋˜๋Š” ์กฐ์ง ๋ณ‘๋ฆฌ์— ๊ธฐ๋ฐ˜ํ•œ ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋ฉฐ, ์ผ์ƒ ์ƒํ™œ ๋ฐ ์‚ฐ์—… ์ „๋ฐ˜์— ์žˆ์–ด PFAS์—์˜ ๋…ธ์ถœ์„ ์ค„์ด๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•์˜ ๋ชจ์ƒ‰์ด ํ•„์š”ํ•˜๋‹ค.

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Original Article
Association between unpredictable work schedule and work-family conflict in Korea
Sang Moon Choi, Chan Woo Kim, Hyoung Ouk Park, Yong Tae Park
Ann Occup Environ Med 2023;35:e46.   Published online November 10, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e46
AbstractAbstract AbstractAbstract in Korean PDF
Background

As unpredictable work schedule (UWS) has increased worldwide, various studies have been conducted on the resulting health effects on workers. However, research on the effect of UWS on workers' well-being in Korea is still insufficient. This study aimed to investigate the relationship between UWS and work-family conflict (WFC) using 6th Korean Working Conditions Survey (KWCS).

Methods

Both UWS and WFC were measured using self-reported questionnaires, using data from the 6th KWCS conducted between 2020 and 2021, including 31,859 participants. UWS was measured by questions regarding the frequency of changes in work schedules and limited advanced notice. WFC was measured by questions regarding work to family and family to work conflicts. Logistic regression analysis was conducted to investigate the association between UWS and WFC.

Results

The prevalence of UWS was higher among men, those under 40 years old, service and sales workers and blue-collar workers, and those with higher salaries. Workplace size also influenced UWS prevalence, with smaller workplaces (less than 50 employees) showing a higher prevalence. The odds ratio (OR) for WFC was significantly higher in workers with UWS compared to workers without UWS after adjusting for gender, age, marital status, occupation, salary, education, weekly working hours, shift work, company size, and having a child under the age of 18 years, employment status (OR: 3.71; 95% confidence interval: 3.23โ€“4.25).

Conclusions

The analysis of nationwide data revealed that UWS interferes with workersโ€™ performance of family roles, which can lead to WFC. Our findings suggest that it is crucial to implement policies to address unfair work schedule management, promoting a healthier work-life balance and fostering a conducive environment for family responsibilities.

์˜ˆ์ธก ๋ถˆ๊ฐ€๋Šฅํ•œ ๊ทผ๋ฌด ์ผ์ •๊ณผ ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์˜ˆ์ธก ๋ถˆ๊ฐ€๋Šฅํ•œ ๊ทผ๋ฌด ์ผ์ •(unpredictable work schedule, UWS)์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ, ๊ทผ๋กœ์ž์—๊ฒŒ ๋ฏธ์น˜๋Š” ๊ฑด๊ฐ• ์˜ํ–ฅ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, UWS๊ฐ€ ๊ทผ๋กœ์ž์˜ ์‚ถ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ๊ตญ๋‚ด ์—ฐ๊ตฌ๋Š” ์•„์ง ๋ฏธํกํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ œ6์ฐจ ํ•œ๊ตญ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ(Korean Working Conditions Survey, KWCS)๋ฅผ ์ด์šฉํ•˜์—ฌ UWS์™€ ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ(Work-Family Conflict, WFC)์˜ ๊ด€๊ณ„๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
2020๋…„๊ณผ 2021๋…„ ์‚ฌ์ด์— ์ˆ˜ํ–‰๋œ ์ œ6์ฐจ KWCS์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ด 31859๋ช…์ด ์—ฐ๊ตฌ ๋Œ€์ƒ์œผ๋กœ ํฌํ•จ๋˜์—ˆ๊ณ  UWS์™€ WFC๋Š” ๋ชจ๋‘ ์ž๊ธฐ๊ธฐ์ž…์‹ ์„ค๋ฌธ์„ ํ†ตํ•ด ์ธก์ •๋˜์—ˆ๋‹ค. UWS๋Š” ์—…๋ฌด ์ผ์ •์˜ ๋ณ€๊ฒฝ ๋นˆ๋„ ๋ฐ ์ œํ•œ๋œ ์‚ฌ์ „ํ†ต์ง€์— ๊ด€ํ•œ ์งˆ๋ฌธ์œผ๋กœ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ, WFC๋Š” ์—…๋ฌด๋กœ๋ถ€ํ„ฐ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์กฑ ๊ฐˆ๋“ฑ๊ณผ ๋ฐ ๊ฐ€์กฑ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ์—…๋ฌด ๊ฐˆ๋“ฑ์— ๊ด€ํ•œ ์งˆ๋ฌธ์œผ๋กœ ์ธก์ •๋˜์—ˆ๋‹ค. UWS์™€ WFC์˜ ์—ฐ๊ด€์„ฑ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
UWS๋Š” ๋‚จ์„ฑ, 40์„ธ๋ฏธ๋งŒ, ์„œ๋น„์Šค ๋ฐ ํŒ๋งค ์ข…์‚ฌ์ž, ๋ธ”๋ฃจ์นผ๋ผ ์ข…์‚ฌ์ž, ๊ทธ๋ฆฌ๊ณ  ๋” ๋†’์€ ๊ธ‰์—ฌ๋ฅผ ๋ฐ›๋Š” ์‚ฌ๋žŒ๋“ค ์‚ฌ์ด์—์„œ ๋” ๋งŽ์•˜๋‹ค. ์ž‘์—…์žฅ ๊ทœ๋ชจ๋„ UWS์— ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ์†Œ๊ทœ๋ชจ ์ž‘์—…์žฅ(์ง์› ์ˆ˜ 50๋ช… ๋ฏธ๋งŒ)์—์„œ ๋” ๋งŽ์•˜์Šต๋‹ˆ๋‹ค. WFC์˜ ์˜ค์ฆˆ๋น„๋Š” ์„ฑ๋ณ„, ์—ฐ๋ น, ๊ฒฐํ˜ผ ์—ฌ๋ถ€, ์ง์—…, ๊ธ‰์—ฌ, ๊ต์œก, ์ฃผ๊ฐ„ ๊ทผ๋กœ์‹œ๊ฐ„, ๊ต๋Œ€๊ทผ๋ฌด, ํšŒ์‚ฌ ๊ทœ๋ชจ, 18์„ธ ๋ฏธ๋งŒ ์ž๋…€ ์—ฌ๋ถ€, ์ •๊ทœ์ง ์—ฌ๋ถ€๋ฅผ ๋ณด์ •ํ•œ ํ›„ ๋‚˜ํƒ€๋‚œ ๊ฒฐ๊ณผ์—์„œ UWS๊ฐ€ ์—†๋Š” ๊ทผ๋กœ์ž์— ๋น„ํ•ด UWS๊ฐ€ ์žˆ๋Š” ๊ทผ๋กœ์ž์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค(OR: 3.78, 95% CI: 3.28-4.34).
๊ฒฐ๋ก 
์ „๊ตญ์ ์ธ ์ž๋ฃŒ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, UWS๊ฐ€ ๊ทผ๋กœ์ž์˜ ๊ฐ€์กฑ ์—ญํ•  ์ˆ˜ํ–‰์„ ๋ฐฉํ•ดํ•˜์—ฌ WFC๋ฅผ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ทผ๋กœ์ž์—๊ฒŒ ๊ฑด๊ฐ•ํ•œ ์ผ๊ณผ ์‚ถ์˜ ๊ท ํ˜•์„ ์ œ๊ณตํ•˜๊ณ  ๊ฐ€์กฑ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์ข‹์€ ํ™˜๊ฒฝ์„ ์กฐ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ๋ถˆ๊ณต์ •ํ•œ ๊ทผ๋ฌด ์ผ์ • ๊ด€๋ฆฌ๋ฅผ ํ•ด์†Œ์‹œํ‚ค๋Š” ์ •์ฑ…์˜ ํ•„์š”์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค.

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Original Article
The relationship between visual display terminal usage at work and symptoms related to computer vision syndrome
Soonsu Shin, Eun Hye Yang, Hyo Choon Lee, Seong Ho Moon, Jae-Hong Ryoo
Ann Occup Environ Med 2023;35:e1.   Published online January 9, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e1
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Although it is well known that the usage of visual display terminal (VDT) at the workplace causes computer vision syndrome (CVS), previous studies mainly focused on computer use and the health of white-collar workers. In this study, we explored the relationship between the usage of VDT including various devices, and symptoms related to CVS in a large population including pink-collar workers and blue-collar workers.

Methods

21,304 wage workers over the age of 20 years were analyzed from the 6th Korean Working Conditions Survey. To investigate the association between VDT use at work and symptoms related to CVS among wage workers, odds ratios (ORs) and 95% confidence interval (CI) were calculated by multivariate logistic regression models.

Results

In the group with the highest VDT usage at work, the OR of headache/eyestrain was 2.16 (95% CI: 1.86โ€“2.52). The OR of suspected CVS patients was significantly increased in the highest group of usage of VDT at work (OR: 1.69; 95% CI, 1.39โ€“2.06). Compare with the reference group, the OR for headache/eyestrain in the highest group of VDT usage was 2.81 (95% CI: 2.13โ€“3.70) in white-collar workers, 1.78 (95% CI: 1.32โ€“2.40) in pink-collar workers, and 1.59 (95% CI: 1.18โ€“2.15) in blue-collar workers.

Conclusions

We observed a relationship in which the use of VDT in the workplace increases the risk of headache/eyestrain regardless of occupational classification. Our findings emphasize the importance of paying attention to the health of VDT workers and making plans to improve their working conditions.

์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ ์ž‘์—…๊ณผ ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ์˜ ์ฆ์ƒ๊ฐ„์˜ ๊ด€๊ณ„
๋ชฉ์ 
๋‹ค์–‘ํ•œ ์‚ฐ์—…๊ณผ ์ง๊ตฐ์—์„œ ์ปดํ“จํ„ฐ๋งŒ์ด ์•„๋‹ˆ๋ผ ์Šค๋งˆํŠธํฐ, ํƒœ๋ธ”๋ฆฟ ๋“ฑ์˜ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ(Video display terminal)์˜ ์‚ฌ์šฉ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค. ์˜์ƒํ‘œ์‹œ ๋‹จ๋ง๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์€ ํ”ํžˆ ๋ˆˆ์˜ ๊ธด์žฅ, ๋‘ํ†ต, ์ƒ์ง€ ํ†ต์ฆ ๋“ฑ์˜ ์ฆ์ƒ์„ ๊ฒช์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ์ฆ์ƒ๋“ค์˜ ์ง‘ํ•ฉ์€ ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ(Computer vision syndrome)์ด๋ผ๊ณ  ์ •์˜๋˜์–ด ์™”๋‹ค. ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ์— ๋Œ€ํ•œ ์ด์ „ ์—ฐ๊ตฌ๋“ค์€ ํŠน์ • ์ง์—…๋งŒ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์—ฐ๊ตฌ๊ฐ€ ๋งŽ์•˜๋‹ค. ๋˜ํ•œ, ์ง€๊ธˆ๊นŒ์ง€ ์ปดํ“จํ„ฐ ์ด์™ธ์˜ ๋‹ค๋ฅธ ๊ธฐ๊ธฐ๋“ค์„ ํฌํ•จํ•˜์—ฌ ์ปดํ“จํ„ฐ ์‹œ๊ฐ์ฆํ›„๊ตฐ์— ๋Œ€ํ•ด ์กฐ์‚ฌํ•œ ์—ฐ๊ตฌ๋Š” ์—†์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ6์ฐจ ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ๋ฅผ ํ†ตํ•˜์—ฌ ์ž‘์—… ์ค‘ ๋‹ค์–‘ํ•œ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ์˜ ์‚ฌ์šฉ๊ณผ ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ์˜ ์ฆ์ƒ๋“ค์˜ ๊ด€๊ณ„์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•ด๋ณด์•˜๋‹ค. ์ธ๊ตฌ์ง‘๋‹จ์„ ํ™”์ดํŠธ์นผ๋ผ ๊ทผ๋กœ์ž, ํ•‘ํฌ์นผ๋ผ ๊ทผ๋กœ์ž, ๋ธ”๋ฃจ์นผ๋ผ ๊ทผ๋กœ์ž๋กœ ๋‚˜๋ˆ„์–ด์„œ ๋ถ„์„ํ•˜์—ฌ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ ์‚ฌ์šฉ์ด ๊ทผ๋กœ์ž๋“ค์˜ ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํŒŒ์•…ํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” 6์ฐจ ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ์— ์ฐธ์—ฌํ•œ ์ธ์› ์ค‘ 20์„ธ ์ด์ƒ์˜ ์ž„๊ธˆ ๊ทผ๋กœ์ž 21,304๋ช…์„ ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž๋กœ ํฌํ•จ์‹œ์ผฐ๋‹ค. ์ด๋“ค์˜ ์ž‘์—… ์ค‘ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ ์‚ฌ์šฉ์„ ์ ์Œ, ๋ณดํ†ต, ๋งŽ์Œ ์„ธ ๊ตฐ์œผ๋กœ ๋‚˜๋ˆ„์–ด ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ์‚ฌ์šฉํ•˜์˜€๊ณ , ์ง€๋‚œ 12๊ฐœ์›” ๋™์•ˆ ๋‘ํ†ต/๋ˆˆ ๊ธด์žฅ์ด ์žˆ๋Š”์ง€, ์ƒ์ง€์˜ ํ†ต์ฆ์ด ์žˆ๋Š”์ง€, ํ˜น์€ ๋‘˜ ๋‹ค ์žˆ๋Š” ๊ฒฝ์šฐ ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ ์˜์‹ฌํ™˜์ž๋กœ ์ •์˜ํ•˜์—ฌ ์ข…์†๋ณ€์ˆ˜๋กœ ์‚ฌ์šฉํ•˜์—ฌ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€์€ P<0.05 ์œผ๋กœ ๊ณ ๋ คํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์—์„œ ์˜์ƒํ‘œ์‹œ ๋‹จ๋ง๊ธฐ ์‚ฌ์šฉ์ด ๋งŽ์•˜๋˜ ๊ตฐ์—์„œ ์ ์—ˆ๋˜ ๊ตฐ ๋ณด๋‹ค ๋‘ํ†ต/๋ˆˆ ๊ธด์žฅ์˜ ์˜ค์ฆˆ๋น„(Odds ratio)๊ฐ€ 2.16 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.86-2.52)๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ปดํ“จํ„ฐ ์‹œ๊ฐ์ฆํ›„๊ตฐ ์˜์‹ฌํ™˜์ž๋Š” ์˜์ƒํ‘œ์‹œ ๋‹จ๋ง๊ธฐ ์‚ฌ์šฉ์ด ๋งŽ์•˜๋˜ ๊ตฐ์—์„œ ์ ์—ˆ๋˜ ๊ตฐ๊ณผ ๋น„๊ตํ•ด ์˜ค์ฆˆ๋น„๊ฐ€ 1.69 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.39-2.06)๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ๊ธฐ์ค€๊ตฐ๊ณผ ๋น„๊ตํ•˜์—ฌ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ์˜ ์‚ฌ์šฉ์ด ๋งŽ์•˜๋˜ ๊ตฐ์˜ ๋‘ํ†ต/๋ˆˆ ๊ธด์žฅ์˜ ์˜ค์ฆˆ๋น„๋Š” ํ™”์ดํŠธ์นผ๋ผ ๊ทผ๋กœ์ž์—์„œ 2.81 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 2.13โ€“3.70), ํ•‘ํฌ์นผ๋ผ ๊ทผ๋กœ์ž์—์„œ 1.78 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.32โ€“2.40) ๋ฐ ๋ธ”๋ฃจ์นผ๋ผ ๊ทผ๋กœ์ž์—์„œ 1.59 (95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.18โ€“2.15)์ด์—ˆ๋‹ค.
๊ฒฐ๋ก 
์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ์˜ ์‚ฌ์šฉ์€ ๊ทผ๋กœ์ž๋“ค์—๊ฒŒ์„œ ๋‘ํ†ต/๋ˆˆ๊ธด์žฅ์˜ ์œ„ํ—˜์„ ๋†’์ด๋ฉฐ, ์ปดํ“จํ„ฐ ์‹œ๊ฐ ์ฆํ›„๊ตฐ ์˜์‹ฌํ™˜์ž์˜ ์œ„ํ—˜์„ ๋†’์˜€๋‹ค. ํ™”์ดํŠธ์นผ๋ผ ๊ทผ๋กœ์ž๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ•‘ํฌ์นผ๋ผ ๊ทผ๋กœ์ž, ๋ธ”๋ฃจ์นผ๋ผ ๊ทผ๋กœ์ž์—์„œ๋„ ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ์˜ ์‚ฌ์šฉ์ด ๋งŽ์€ ๊ตฐ์—์„œ ๋‘ํ†ต/๋ˆˆ๊ธด์žฅ์˜ ์œ„ํ—˜์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์˜์ƒํ‘œ์‹œ๋‹จ๋ง๊ธฐ ์ทจ๊ธ‰๊ทผ๋กœ์ž๋“ค์˜ ๊ฑด๊ฐ•์— ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์—ฌ์•ผํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค.

Citations

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  • Association between receiving work communications outside of work hours via telecommunication devices and work-related headaches and eyestrain: a cross-sectional analysis of the 6th Korean Working Conditions Survey
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Data Profile
Data profile: Korean Work, Sleep, and Health Study (KWSHS)
Seong-Sik Cho, Jeehee Min, Heejoo Ko, Mo-Yeol Kang
Ann Occup Environ Med 2025;37:e3.   Published online February 19, 2025
DOI: https://doi.org/10.35371/aoem.2025.37.e3
AbstractAbstract AbstractAbstract in Korean PDF
The Korean Work, Sleep, and Health Study (KWSHS) was launched in 2022 as a longitudinal panel study to examine the interactions between work conditions, sleep health, and labour market performance among the Korean workforce. Baseline data were collected from 5,517 participants aged 19 to 70, encompassing diverse occupations. Follow-up surveys occur biannually, accommodating seasonal variations in sleep and health dynamics. To ensure stability, refreshment samples were integrated in later waves, maintaining a cohort size of 5,783 participants in wave 5. Key data include socio-demographics, employment characteristics, sleep patterns, health outcomes, and workplace performance. Early findings highlight critical associations, such as the adverse effects of occupational physical activity on productivity, the impact of emotional labour on health-related productivity loss, and the significance of sleep disruptions on mental health. The cohortโ€™s design enables detailed analyses of longitudinal and cross-sectional trends, offering insights into how changing work environments influence health and productivity. The KWSHS could serve as a vital resource for evidence-based interventions aimed at improving occupational health and productivity in Korea's evolving labour landscape. Data access is available through the studyโ€™s principal investigator upon request.
ํ•œ๊ตญ ์ง์—…, ์ˆ˜๋ฉด ๋ฐ ๊ฑด๊ฐ• ์—ฐ๊ตฌ(KWSHS)
ํ•œ๊ตญ ์ง์—…, ์ˆ˜๋ฉด ๋ฐ ๊ฑด๊ฐ• ์—ฐ๊ตฌ(KWSHS)๋Š” ํ•œ๊ตญ ๋…ธ๋™์ž์˜ ๊ทผ๋กœ ์กฐ๊ฑด, ์ˆ˜๋ฉด ๊ฑด๊ฐ•, ๋…ธ๋™ ์‹œ์žฅ ์„ฑ๊ณผ ๊ฐ„ ์ƒํ˜ธ์ž‘์šฉ์„ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด 2022๋…„์— ์‹œ์ž‘๋œ ์ข…๋‹จ์  ํŒจ๋„ ์—ฐ๊ตฌ์ด๋‹ค. ๊ธฐ์ดˆ ์ž๋ฃŒ๋Š” ๋‹ค์–‘ํ•œ ์ง์—…๊ตฐ์„ ํฌํ•จํ•˜์—ฌ 19์„ธ์—์„œ 70์„ธ๊นŒ์ง€์˜ 5,517๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ํ›„์† ์„ค๋ฌธ์กฐ์‚ฌ๋Š” ์ˆ˜๋ฉด ๋ฐ ๊ฑด๊ฐ• ์—ญํ•™์˜ ๊ณ„์ ˆ์  ๋ณ€๋™์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ 2๋…„๋งˆ๋‹ค ์‹ค์‹œํ•˜๋ฉฐ, ์ฝ”ํ˜ธํŠธ์˜ ์•ˆ์ •์„ฑ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ํ›„์† ์กฐ์‚ฌ์—์„œ๋Š” ๋ณด์ถฉ ํ‘œ๋ณธ์„ ์ถ”๊ฐ€ํ•˜์—ฌ 5์ฐจ ์›จ์ด๋ธŒ์—์„œ๋Š” ์ด 5,783๋ช…์˜ ์ฝ”ํ˜ธํŠธ ๊ทœ๋ชจ๋ฅผ ์œ ์ง€ํ•˜์˜€๋‹ค. ์ฃผ์š” ์ž๋ฃŒ์—๋Š” ์‚ฌํšŒ์ธ๊ตฌํ•™์  ์ •๋ณด, ๊ณ ์šฉ ํŠน์„ฑ, ์ˆ˜๋ฉด ํŒจํ„ด, ๊ฑด๊ฐ• ๊ฒฐ๊ณผ ๋ฐ ์ง์žฅ ์„ฑ๊ณผ ๋“ฑ์ด ํฌํ•จ๋œ๋‹ค. ์ดˆ๊ธฐ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ์ง์—…์  ์‹ ์ฒดํ™œ๋™์ด ์ƒ์‚ฐ์„ฑ์— ๋ฏธ์น˜๋Š” ๋ถ€์ •์  ์˜ํ–ฅ, ๊ฐ์ • ๋…ธ๋™์ด ๊ฑด๊ฐ• ๊ด€๋ จ ์ƒ์‚ฐ์„ฑ ์†์‹ค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ, ๊ทธ๋ฆฌ๊ณ  ์ˆ˜๋ฉด ์žฅ์• ๊ฐ€ ์ •์‹  ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ์ค‘์š”์„ฑ์„ ํฌํ•จํ•œ ์ฃผ์š” ์—ฐ๊ด€์„ฑ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์ฝ”ํ˜ธํŠธ์˜ ์„ค๊ณ„๋Š” ์ข…๋‹จ์  ๋ฐ ํšก๋‹จ์  ์ถ”์„ธ์— ๋Œ€ํ•œ ์„ธ๋ถ€์ ์ธ ๋ถ„์„์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜์—ฌ ๋ณ€ํ™”ํ•˜๋Š” ๊ทผ๋กœ ํ™˜๊ฒฝ์ด ๊ฑด๊ฐ• ๋ฐ ์ƒ์‚ฐ์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹ฌ์ธต์ ์œผ๋กœ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. KWSHS๋Š” ํ•œ๊ตญ์˜ ๋ณ€ํ™”ํ•˜๋Š” ๋…ธ๋™ ํ™˜๊ฒฝ ์†์—์„œ ์ง์—… ๊ฑด๊ฐ• ๋ฐ ์ƒ์‚ฐ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๊ทผ๊ฑฐ ๊ธฐ๋ฐ˜ ๊ฐœ์ž…์„ ์œ„ํ•œ ์ค‘์š”ํ•œ ์ž์›์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ ‘๊ทผ์€ ์—ฐ๊ตฌ ์ฑ…์ž„์ž์—๊ฒŒ ์š”์ฒญ์„ ํ†ตํ•ด ๊ฐ€๋Šฅํ•˜๋‹ค.

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  • The Impact of Comorbid Insomnia and Sleep Apnea (COMISA) on Work Ability: Results From Populationโ€Based Panel Data in Korea
    Heejoo Ko, Seongโ€Sik Cho, Dongโ€Wook Lee, Jaesung Choi, Minโ€Seok Kim, Moโ€Yeol Kang
    Journal of Sleep Research.2025;[Epub]     CrossRef
  • Work ability and health-related productivity loss by chronotype: Results from population-based panel study
    Heejoo Ko, Seong-Sik Cho, Mo-Yeol Kang
    Sleep Health.2025; 11(5): 731.     CrossRef
  • Work-related risk factors of sleep apnea: evidence from the Korean work, sleep, and health study
    Heejoo Ko, Seong-Sik Cho, Hye-Eun Lee, Jeehee Min, Mo-Yeol Kang
    International Archives of Occupational and Environmental Health.2025;[Epub]     CrossRef
  • Association between work stress and sleep disturbances: the mediating role of pre-sleep arousal symptoms
    Jeehee MIN, Hoje RYU, Seong-Sik CHO, Mo-Yeol KANG
    Industrial Health.2025; 63(5): 478.     CrossRef
  • Associations of self-rated health, depression, and work ability with employee control over working time
    Heejoo Ko, Seong-Sik Cho, Jaesung Choi, Mo-Yeol Kang
    Epidemiology and Health.2025; 47: e2025036.     CrossRef
  • Workplace Psychosocial Safety Climate and Sleep Health: Association With Sleep Quality and Insomnia Symptoms
    Jiwon Kim, Seongโ€Sik Cho, Maureen F. Dollard, May Young Loh, Moโ€Yeol Kang
    Journal of Sleep Research.2025;[Epub]     CrossRef
  • 7,202 View
  • 345 Download
  • 7 Web of Science
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Opinion
The use of ChatGPT in occupational medicine: opportunities and threats
Chayma Sridi, Salem Brigui
Ann Occup Environ Med 2023;35:e42.   Published online October 23, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e42
AbstractAbstract PDF

ChatGPT has the potential to revolutionize occupational medicine by providing a powerful tool for analyzing data, improving communication, and increasing efficiency. It can help identify patterns and trends in workplace health and safety, act as a virtual assistant for workers, employers, and occupational health professionals, and automate certain tasks. However, caution is required due to ethical concerns, the need to maintain confidentiality, and the risk of inconsistent or inaccurate results. ChatGPT cannot replace the crucial role of the occupational health professional in the medical surveillance of workers and the analysis of data on workersโ€™ health.


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  • ChatGPT as a rising force: Can AI bridge information gaps in Occupational Risk Prevention?
    Alejandro Garcรญa-Rudolph, David Sanchez-Pinsach, Javier Remacha, Sheila Patricio, Eloy Opisso
    WORK: A Journal of Prevention, Assessment & Rehabilitation.2025;[Epub]     CrossRef
  • Correspondence on โ€œThe use of ChatGPT in occupational medicine: opportunities and threatsโ€
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    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies
    Tianhui Xu, Huiting Weng, Fang Liu, Li Yang, Yuanyuan Luo, Ziwei Ding, Qin Wang
    Journal of Medical Internet Research.2024; 26: e57896.     CrossRef
  • ChatGPT in Occupational Medicine: A Comparative Study with Human Experts
    Martina Padovan, Bianca Cosci, Armando Petillo, Gianluca Nerli, Francesco Porciatti, Sergio Scarinci, Francesco Carlucci, Letizia Dellโ€™Amico, Niccolรฒ Meliani, Gabriele Necciari, Vincenzo Carmelo Lucisano, Riccardo Marino, Rudy Foddis, Alessandro Palla
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  • ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback
    Sagar Sen, Victor Gonzalez, Erik Johannes Husom, Simeon Tverdal, Shukun Tokas, Svein O Tjรธsvoll
    Applied Intelligence.2024; 54(23): 12128.     CrossRef
  • Regulatory and Ethical Considerations on Artificial Intelligence for Occupational Medicine
    Antonio Baldassarre, Martina Padovan
    La Medicina del Lavoro.2024; 115(2): e2024013.     CrossRef
  • 2,135 View
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  • 7 Web of Science
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Original Article
Effect of job satisfaction on depression after adjusting for satisfaction with other life domains
SeongCheol Yang, Ji Hoon Kim, Minju Jung, Hwan-Cheol Kim, Jong-Han Leem, Shin-Goo Park
Ann Occup Environ Med 2024;36:e8.   Published online March 28, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e8
AbstractAbstract AbstractAbstract in Korean PDF
Background

Studies on the association between job satisfaction and depression have often been reported. However, no study has examined how job satisfaction impacts depression while considering satisfaction with other aspects of life. In this study, we evaluated the effect of job satisfaction on depression after adjusting for satisfaction with other domains of life.

Methods

We used data from the 16th wave of the Korean Welfare Panel Study. A total of 3568 current employees without depression who completed a survey were included. Depression was measured using the abbreviated version of the CES-D scale. Various types of satisfaction, including job satisfaction, were measured using single-item questions and a 5-point Likert scale. The association between job satisfaction and depression after considering satisfaction with other life domains was analyzed using a multiple logistic regression model.

Results

Crude models showed a significant association between job satisfaction and depression in males (odds ratio [OR]: 7.90; 95% confidence interval [CI]: 4.11โ€“15.23) and females (OR: 7.12; 95% CI: 4.40โ€“11.50). When adjusted for sociodemographic factors, health-related factors, and work-related factors, the association remained significant in males (OR: 6.20; 95% CI: 3.10โ€“12.41) and females (OR: 6.28; 95% confidence interval (CI): 3.79โ€“10.40). However, when satisfaction with other life domains was included, the association remained significant only in females (OR: 3.55; 95% CI: 1.93โ€“6.50).

Conclusions

This study shows an association between job satisfaction and depression in Korean employees. However, when satisfaction with other life domains was considered, this association remained significant only in women. Regular screening of job satisfaction should be considered as a means of preventing and managing depression among female employees.

์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค์„ ๋ณด์ •ํ•œ ํ›„ ์ผ ๋งŒ์กฑ๋„๊ฐ€ ์šฐ์šธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ
๋ชฉ์ 
๊ณผ๊ฑฐ์˜ ๋งŽ์€ ์—ฐ๊ตฌ๋“ค์—์„œ ์ผ ๋งŒ์กฑ๋„์™€ ์šฐ์šธ ์‚ฌ์ด์— ์—ฐ๊ด€์„ฑ์ด ์žˆ์Œ์ด ๋ฐํ˜€์กŒ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค๊นŒ์ง€ ๊ณ ๋ คํ•˜์—ฌ ์ผ ๋งŒ์กฑ๋„๊ฐ€ ์šฐ์šธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•œ ์—ฐ๊ตฌ๋Š” ํ˜„์žฌ๊นŒ์ง€ ์—†์—ˆ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค์„ ๋ณด์ •ํ•˜์—ฌ ์ผ ๋งŒ์กฑ๋„์™€ ์šฐ์šธ ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ๋ณต์ง€ํŒจ๋„ (Korean Welfare Panel Study)์˜ 16์ฐจ ์กฐ์‚ฌ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ์šฐ์šธ์ฆ์„ ์ง„๋‹จ๋ฐ›์€ ์ ์ด ์—†๊ณ  ์„ค๋ฌธ์„ ์™„๋ฃŒํ•œ ์ด 3568๋ช…์˜ ์ž„๊ธˆ ๊ทผ๋กœ์ž๊ฐ€ ์„ ์ •๋˜์—ˆ๋‹ค. ์šฐ์šธ์€ ์ถ•์•ฝํ˜• CES-D๋ฅผ ์ด์šฉํ•˜์—ฌ ํ‰๊ฐ€ํ–ˆ์œผ๋ฉฐ, ์ง์—… ๋งŒ์กฑ๋„๋ฅผ ํฌํ•จํ•œ ์—ฌ๋Ÿฌ ๋งŒ์กฑ๋„๋“ค์€ 5์  ๋ฆฌ์ปคํŠธ ์ฒ™๋„๋กœ ๊ตฌ์„ฑ๋œ ๋‹จ์ผ ๋ฌธํ•ญ์œผ๋กœ ํ‰๊ฐ€ํ–ˆ๋‹ค. ์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค์— ๋Œ€ํ•ด ๋ณด์ •ํ•˜์—ฌ ์ง์—… ๋งŒ์กฑ๋„์™€ ์šฐ์šธ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ณด์ •๋˜์ง€ ์•Š์€ ๋ชจํ˜•์—์„œ ์šฐ์šธ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„๋Š” ๋‚จ์„ฑ์˜ ๊ฒฝ์šฐ ์ผ ๋งŒ์กฑ ๊ทธ๋ฃน์— ๋น„ํ•ด ์ผ ๋ถˆ๋งŒ์กฑ ๊ทธ๋ฃน์—์„œ 7.90 (95% CI: 4.11-15.23), ์—ฌ์„ฑ์˜ ๊ฒฝ์šฐ 7.12 (95% CI: 4.40-11.50)์˜€๋‹ค. ์‚ฌํšŒ์ธ๊ตฌํ•™์  ์š”์ธ, ๊ฑด๊ฐ• ์š”์ธ, ์ง์—… ๊ด€๋ จ ์š”์ธ์— ๋Œ€ํ•ด ๋ณด์ •ํ–ˆ์„ ๋•Œ๋„ ๋‚จ์„ฑ์—์„œ ์˜ค์ฆˆ๋น„ 6.20 (95% CI: 3.10-12.41), ์—ฌ์„ฑ์—์„œ ์˜ค์ฆˆ๋น„ 6.28 (95% CI: 3.79-10.40)์ด์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ถ”๊ฐ€๋กœ ์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค์— ๋Œ€ํ•ด ๋ณด์ •ํ•˜์—ฌ ๋ถ„์„ํ–ˆ์„ ๋•Œ๋Š”, ์—ฌ์„ฑ์—์„œ๋งŒ ์ผ ๋งŒ์กฑ๋„์™€ ์šฐ์šธ ๊ฐ„์— ์œ ์˜๋ฏธํ•œ ์—ฐ๊ด€์„ฑ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค (OR=3.55, 95% CI: 1.93-6.50).
๊ฒฐ๋ก 
์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด, ์‚ถ์˜ ๋‹ค๋ฅธ ์˜์—ญ์˜ ๋งŒ์กฑ๋„๋“ค์„ ๊ณ ๋ คํ•˜์—ฌ ๋ถ„์„ํ–ˆ์„ ๋•Œ ์ผ ๋งŒ์กฑ๋„์™€ ์šฐ์šธ ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์€ ์—ฌ์„ฑ์—์„œ๋งŒ ์œ ์˜๋ฏธํ–ˆ๋‹ค. ์šฐ์šธ์„ ์˜ˆ๋ฐฉํ•˜๊ธฐ ์œ„ํ•œ ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ, ์ง์žฅ์—์„œ ์—ฌ์„ฑ ๊ทผ๋กœ์ž๋“ค์— ๋Œ€ํ•ด ์ •๊ธฐ์ ์œผ๋กœ ์ง์—… ๋งŒ์กฑ๋„๋ฅผ ํ™•์ธํ•˜๊ณ  ๊ด€๋ฆฌํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.

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    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • Exploring the association between loneliness, work environment, and depressive symptoms: evidence from young Korean workers in the Seoul Metropolitan Area
    Geon Lee, Chulwoo Kim
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • THE IMPACT OF HAPPINESS ORIENTATIONS ON JOB SATISFACTION AMONG HEALTHCARE WORKERS: A THEORETICAL AND EMPIRICAL EXAMINATION
    BรผลŸra Bozkurt, Hatice Gรถkรงe Demirel
    Beykoz Akademi Dergisi.2025; 13(1): 502.     CrossRef
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Original Article
Risk of insomnia symptoms according to Work-Family Conflict by workersโ€™ characteristics
Kwanghyun Seo, Seungjun Ryu, Saebomi Jeong, Hee-Tae Kang, Sung-Kyung Kim, Sang-Baek Koh, Kyoung Sook Jeong, Sung-Soo Oh
Ann Occup Environ Med 2023;35:e36.   Published online August 23, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e36
AbstractAbstract AbstractAbstract in Korean PDF
Background

Work-Family Conflict means that the demands of work and family roles cannot be met simultaneously, so one cannot concentrate on oneโ€™s work or family role. This conflict can negatively affect mental health and cause insomnia symptoms.

Methods

This study was conducted on 20,442 subjects. Insomnia symptoms were assessed using the Minimal Insomnia Symptom Scale, and other variables were assessed using the questionnaire method. Logistic regression analyses were performed to evaluate the effect of Work-Family Conflict on insomnia symptoms, and subgroup logistic regression analyses were also performed.

Results

The number of people with insomnia symptoms was 4,322 (15.1%). Compared with Low Work-Family Conflict, the odds ratios (ORs) for the risk of insomnia symptoms were 1.84 (95% confidence interval: 1.56โ€“2.16) in High work-to-family conflict, 1.16 (1.02โ€“1.32) in High family-to-work conflict, and 3.19 (2.87โ€“3.55) in High Work-Family Conflict. The ORs were higher for men than women in High WFC but higher for women than men in High Work-Family Conflict.

Conclusions

The risk of insomnia symptoms was highest in High Work-Family Conflict.

๊ทผ๋กœ์ž ํŠน์„ฑ๋ณ„ ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์— ๋”ฐ๋ฅธ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์˜ ๋ฐœ์ƒ ์œ„ํ—˜
๋ชฉ์ 
์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๊ทผ๋กœ์ž์˜ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๋ฐœ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
์ด ์—ฐ๊ตฌ๋Š” 20,442๋ช…์˜ ํ”ผํ—˜์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์€ Minimal Insomnia Symptom Scale์„ ์‚ฌ์šฉํ•˜์—ฌ ํ‰๊ฐ€ํ•˜์˜€๊ณ , ๊ธฐํƒ€ ๋ณ€์ˆ˜๋Š” ์„ค๋ฌธ์ง€ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๋ฐœ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€์œผ๋ฉฐ, ํ•˜์œ„๊ทธ๋ฃน ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ถ„์„ ๋˜ํ•œ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ถˆ๋ฉด์ฆ์ด ์žˆ๋Š” ์‚ฌ๋žŒ์€ 4,322๋ช…(15.1%)์ด์—ˆ๋‹ค. ์ „์ฒด ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๋‚ฎ์€ ๊ทผ๋กœ์ž์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ, ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๋ฐœ์ƒ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„๋Š” WFC๊ฐ€ ๋†’์€ ๊ทผ๋กœ์ž์—์„œ 1.84(95% ์‹ ๋ขฐ ๊ตฌ๊ฐ„ 1.56-2.16), FWC๊ฐ€ ๋†’์€ ๊ทผ๋กœ์ž์—์„œ 1.16(95% CI 1.02-1.32), ์ „์ฒด ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๋†’์€ ๊ทผ๋กœ์ž์—์„œ 3.19(95% CI 2.87-3.55)์ด์—ˆ๋‹ค. ๋‚จ์„ฑ๊ณผ ์—ฌ์„ฑ์„ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ–ˆ์„ ๋•Œ, WFC๊ฐ€ ๋†’์€ ๊ทผ๋กœ์ž์—์„œ๋Š” ๋‚จ์„ฑ์ด ์—ฌ์„ฑ๋ณด๋‹ค ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์•˜์œผ๋‚˜ ์ „์ฒด ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๋†’์€ ๊ทผ๋กœ์ž์—์„œ๋Š” ์—ฌ์„ฑ์ด ๋‚จ์„ฑ๋ณด๋‹ค ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์•˜๋‹ค.
๊ฒฐ๋ก 
์ „์ฒด ์ผ-๊ฐ€์ • ๊ฐˆ๋“ฑ์ด ๋†’์€ ๊ทผ๋กœ์ž์—์„œ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์˜ ๋ฐœ์ƒ ์œ„ํ—˜์ด ๊ฐ€์žฅ ์ปธ๋‹ค.

Citations

Citations to this article as recorded by  
  • Benefits and Drawbacks of 12-hour Shifts in Steel Manufacturing: a Comprehensive Qualitative Investigation of Workers, Managers, and Family Perspectives
    Alireza Choobineh, Mahnaz Shakerian, Majid Faraji, Hossein Modaresifar, Javad Kiani, Mehdi Hatami, Reza Tahmasebi
    Occupational Health Science.2025;[Epub]     CrossRef
  • Female workers with long working hours are more likely to have depressive symptoms when having family-to-work conflict
    Garin Lee, Ji-Hwan Kim, Seung-Sup Kim
    International Archives of Occupational and Environmental Health.2024; 97(2): 199.     CrossRef
  • Association between long working hours and engagement in preventive healthcare services in Korean workers: Findings from the Korean National Health and Nutrition Examination Survey
    Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
    Preventive Medicine.2024; 180: 107849.     CrossRef
  • Difficulty Falling Asleep, Nocturnal Awakening, Sleep Dissatisfaction, and Irritability in the General Population
    Tetsuya Akaishi
    The Tohoku Journal of Experimental Medicine.2024; 263(4): 261.     CrossRef
  • Association between single-person household wage workers in South Korea and insomnia symptoms: the 6th Korean Working Conditions Survey (KWCS)
    Yoon Ho Lee, Yong-Jin Lee, Eun-Chul Jang, Young-Sun Min, Soon-Chan Kwon
    Ann Occup Environ Med.2024; 36: e25.     CrossRef
  • 2,364 View
  • 21 Download
  • 6 Web of Science
  • 5 Crossref
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Original Article
Association of heavy metal complex exposure and neurobehavioral function of children
Minkeun Kim, Chulyong Park, Joon Sakong, Shinhee Ye, So young Son, Kiook Baek
Ann Occup Environ Med 2023;35:e23.   Published online July 6, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e23
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Exposure to heavy metals is a public health concern worldwide. Previous studies on the association between heavy metal exposure and neurobehavioral functions in children have focused on single exposures and clinical manifestations. However, the present study evaluated the effects of heavy metal complex exposure on subclinical neurobehavioral function using a Korean Computerized Neurobehavior Test (KCNT).

Methods

Urinary mercury, lead, cadmium analyses as well as symbol digit substitution (SDS) and choice reaction time (CRT) tests of the KCNT were conducted in children aged between 10 and 12 years. Reaction time and urinary heavy metal levels were analyzed using partial correlation, linear regression, Bayesian kernel machine regression (BKMR), the weighted quantile sum (WQS) regression and quantile G-computation analysis.

Results

Participants of 203 SDS tests and 198 CRT tests were analyzed, excluding poor cooperation and inappropriate urine sample. Partial correlation analysis revealed no association between neurobehavioral function and exposure to individual heavy metals. The result of multiple linear regression shows significant positive association between urinary lead, mercury, and CRT. BMKR, WQS regression and quantile G-computation analysis showed a statistically significant positive association between complex urinary heavy metal concentrations, especially lead and mercury, and reaction time.

Conclusions

Assuming complex exposures, urinary heavy metal concentrations showed a statistically significant positive association with CRT. These results suggest that heavy metal complex exposure during childhood should be evaluated and managed strictly.

์†Œ์•„ ์‹ ๊ฒฝ ํ–‰๋™ ๊ธฐ๋Šฅ๊ณผ ์ค‘๊ธˆ์† ๋ณตํ•ฉ ๋…ธ์ถœ์˜ ๊ด€๋ จ์„ฑ
๋ชฉ์ 
์ค‘๊ธˆ์† ๋…ธ์ถœ์€ ๋งŽ์€ ๊ตญ๊ฐ€์—์„œ ๊ณต์ค‘๋ณด๊ฑด ๊ด€๋ จํ•ด์„œ ํฐ ๊ณผ์ œ์ด๋‹ค. ์ค‘๊ธˆ์† ๋…ธ์ถœ์— ๋”ฐ๋ฅธ ์‹ ๊ฒฝ๊ณ„์˜ ์˜ํ–ฅ์„ ๋ณด๊ธฐ ์œ„ํ•œ ๊ณผ๊ฑฐ ์—ฐ๊ตฌ๋“ค ์—์„œ๋Š” ๋…ธ์ถœ์˜ ๊ฒฝ์šฐ ๋‹จ์ผ ์ค‘๊ธˆ์†์— ๋Œ€ํ•œ ๋…ธ์ถœ์„, ๋…ธ์ถœ์— ๋”ฐ๋ฅธ ๊ฒฐ๊ณผ๋กœ๋Š” ์ž„์ƒ์  ์ง•ํ›„ ๋˜๋Š” ์งˆํ™˜์˜ ์ง„๋‹จ์„ ์ค‘์ ์œผ๋กœ ์ด๋ฃจ์–ด์กŒ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘๊ธˆ์† ๋ณตํ•ฉ ๋…ธ์ถœ๊ณผ ์ค€์ž„์ƒ์  ์ˆ˜์ค€์„ ํฌํ•จํ•œ ์‹ ๊ฒฝ ํ–‰๋™ ๊ธฐ๋Šฅ์˜ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ๊ณ„ํš๋˜์—ˆ๋‹ค.
๋ฐฉ๋ฒ•
์†Œ๋ณ€ ์ค‘ ์ˆ˜์€, ๋‚ฉ, ์นด๋“œ๋ฎด ๋ถ„์„๊ณผ ํ•œ๊ตญํ˜• ์ปดํ“จํ„ฐ ์‹ ๊ฒฝํ–‰๋™๊ฒ€์‚ฌ์ค‘ ๋ถ€ํ˜ธ ์ˆซ์ž ์ง์ง“๊ธฐ ๊ฒ€์‚ฌ์™€ ์„ ํƒ ๋ฐ˜์‘ ์‹œ๊ฐ„ ๊ฒ€์‚ฌ๋ฅผ 211๋ช…์˜ 10-12์„ธ์˜ ์†Œ์•„๋“ค์—๊ฒŒ ์‹œํ–‰ํ•œ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ๋ฐ˜์‘ ์‹œ๊ฐ„๊ณผ ์†Œ๋ณ€ ์ค‘ ์ค‘๊ธˆ์† ์ˆ˜์น˜๋ฅผ ์„ฑ๋ณ„๊ณผ ์—ฐ๋ น์„ ๋ณด์ •ํ•˜์—ฌ ํŽธ์ƒ๊ด€๋ถ„์„๊ณผ ํšŒ๊ท€๋ถ„์„์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ ์œ ์˜๋ฏธํ•œ ๊ฒฐ๊ณผ๊ฐ€ ํ™•์ธ๋˜๋Š” ํ•ญ๋ชฉ์— ๋Œ€ํ•ด ๋ณตํ•ฉ๋…ธ์ถœ์— ๋Œ€ํ•œ ๋ถ„์„์„ Bayesian Kernel Machine regression, Weighted Sum Regression analysis, Quantile G-computation ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ์‹ฌ์ธต ๋ถ„์„ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ถ€ํ˜ธ์ˆซ์ž ์ง์ง“๊ธฐ ๊ฒ€์‚ฌ์˜ ๊ฒฝ์šฐ 203๊ฑด, ์„ ํƒ๋ฐ˜์‘ ๊ฒ€์‚ฌ์˜ ๊ฒฝ์šฐ 198๊ฑด์— ๋Œ€ํ•ด ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋ถ€ํ˜ธ์ˆซ์ž ์ง์ง“๊ธฐ ๊ฒ€์‚ฌ์˜ ๊ฒฝ์šฐ ๋‹จ์ผ ์ค‘๊ธˆ์†๊ณผ ํŽธ์ƒ๊ด€๋ถ„์„ ๋ฐ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์—์„œ ์œ ์˜๋ฏธํ•œ ๊ด€๋ จ์„ฑ์ด ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ์„ ํƒ๋ฐ˜์‘ ๊ฒ€์‚ฌ์˜ ๊ฒฝ์šฐ ํŽธ์ƒ๊ด€๋ถ„์„์ƒ ๊ฐœ๋ณ„ ์ค‘๊ธˆ์†๊ณผ๋Š” ๋ณ„๋‹ค๋ฅธ ๊ด€๊ณ„๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜์œผ๋‚˜ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์—์„œ ์ˆ˜์€ ๋ฐ ๋‚ฉ๊ณผ ์œ ์˜๋ฏธํ•œ ๊ด€๋ จ์„ฑ์„ ๋ณด์˜€๋‹ค. ๋ณตํ•ฉ๋…ธ์ถœ์— ๋Œ€ํ•œ ๋ถ„์„๋ฐฉ๋ฒ•์ธ Bayesian Kernel Machine regression, Weighted Sum Regression analysis, Quantile G-computation ๊ธฐ๋ฒ•์—์„œ ์†Œ๋ณ€ ์ค‘ ์ค‘๊ธˆ์†๊ณผ ์„ ํƒ ๋ฐ˜์‘ ์‹œ๊ฐ„ ๊ฒ€์‚ฌ์˜ ๋ฐ˜์‘์‹œ๊ฐ„ ๊ฐ„์— ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ์„ธ ๋ถ„์„์—์„œ ๋น„๊ต์  ์ผ๊ด€๋˜๊ฒŒ ๋ณตํ•ฉ๋…ธ์ถœ ์‹œ ์ˆ˜์€๊ณผ ๋‚ฉ์ด ์„ ํƒ ๋ฐ˜์‘ ์‹œ๊ฐ„ ๊ฒ€์‚ฌ์˜ ๋ฐ˜์‘์‹œ๊ฐ„์— ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์นด๋“œ๋ฎด์˜ ๊ฒฝ์šฐ ๋šœ๋ ทํ•œ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด์ง€ ์•Š๊ฑฐ๋‚˜ ๊ทธ ๊ธฐ์—ฌ๋„๊ฐ€ ์ ์—ˆ๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ ์ƒ˜ํ”Œ์˜ ์š”์ค‘ ์ˆ˜์€, ๋‚ฉ, ์นด๋“œ๋ฎด์˜ ๋ฒ”์œ„๋Š” ์ž„์ƒ์ ์ธ ์ฆ์ƒ์„ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ ์—ฌ๋Ÿฌ ๊ธฐ์ค€ ์ˆ˜์ค€์— ๋น„ํ•ด ๋งค์šฐ ๋‚ฎ์€ ์ˆ˜์ค€์— ์žˆ์œผ๋‚˜, ๊ทธ ๋ฒ”์œ„ ๋‚ด์—์„œ๋„ ์„ ํƒ ๋ฐ˜์‘ ๊ฒ€์‚ฌ์™€ ์ค‘๊ธˆ์†์˜ ๋ณตํ•ฉ๋…ธ์ถœ์€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๋ฐ˜์‘์‹œ๊ฐ„ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์œ„ ๊ฒฐ๊ณผ๋Š” ์†Œ์•„ ์ค‘๊ธˆ์† ๋ณตํ•ฉ ๋…ธ์ถœ์ด ๋งค์šฐ ๋‚ฎ์€ ๋†๋„ ์ˆ˜์ค€์—์„œ๋„ ์‹ ๊ฒฝ๊ณ„์— ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜๋ฉฐ, ์ด๋Š” ์ค‘๊ธˆ์† ๋…ธ์ถœ์— ๋Œ€ํ•œ ๋”์šฑ ๋ฏผ๊ฐํ•˜๊ณ  ์—„๊ฒฉํ•œ ๊ด€๋ฆฌ๊ฐ€ ํ•„์š”ํ•จ์„ ๋ณด์—ฌ์ฃผ๋Š” ๊ฒฐ๊ณผ์ด๋‹ค.

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    Journal of Korean Medical Science.2024;[Epub]     CrossRef
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Original Article
Particulate matter concentration effects on attention to environmental issues: a cross-sectional study among residents in Koreaโ€™s Pohang Industrial Complex
Hye-seung Ryu, Jea Chul Ha, Insung Chung, Seonhee Yang, Hyunjoo Kim, Sung-Deuk Choi
Ann Occup Environ Med 2023;35:e31.   Published online August 10, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e31
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

With modernization, air pollution has become increasingly serious, and its effects on health have been revealed. As a result, public interest in environmental pollution has become critical for regulating air pollution. In our study, we aim to evaluate the impact of air pollution levels on public attention to environmental issues and examine whether awareness of the residential environmentโ€™s impact on health acts as a mediator in this relationship.

Methods

We conducted an analysis on 400 individuals surveyed in the preliminary feasibility study on adverse health effects in the Pohang Industrial Complex, to examine the relationship between particulate matter 2.5 (PM2.5) and attention to environmental issues. Logistic regression analysis was performed, and mediation analysis was used to determine whether awareness of the residential environmentโ€™s impact on health mediated the relationship.

Results

The logistic regression analysis results showed that PM2.5 levels were associated with attention to environmental issues (adjusted odds ratio [AOR]: 2.1; 95% confidence interval [CI]: 1.3โ€“3.5; p = 0.003) and awareness of health impacts (AOR: 3.4; 95% CI: 1.6โ€“7.1; p = 0.001). The PM2.5 levels showed 9.9% (95% CI: 5.4โ€“14.0) increase in the prevalence of high attention to environmental issues, of which, only 1.0% (95% CI: 0.2โ€“2.3) were mediated by health impact awareness. In the overall analysis, 10% of the total effect of PM2.5 on attention to environmental issues was mediated by health impact awareness.

Conclusions

According to this studyโ€™s results, there was a correlation between air pollution levels and attention to environmental issues. Awareness of the health impacts of air pollution partially mediated the effect of air pollution levels on attention to environmental issues. In future studies, it is recommended to identify other mediators to further understand this structure.

๋ฏธ์„ธ๋จผ์ง€(Particular matter)๋†๋„๊ฐ€ ํ™˜๊ฒฝ๋ฌธ์ œ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ : ํฌํ•ญ์‹œ ๊ฑฐ์ฃผ๋ฏผ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๋‹จ๋ฉด์—ฐ๊ตฌ
๋ชฉ์ 
๊ทผํ˜„๋Œ€ํ™”๊ฐ€ ์ง„ํ–‰๋˜์–ด์˜ค๋ฉด์„œ ๋Œ€๊ธฐ์˜ค์—ผ์€ ์‹ฌ๊ฐํ•ด์ง€๊ณ  ๋Œ€๊ธฐ์˜ค์—ผ์— ์˜ํ•œ ๊ฑด๊ฐ•์˜ํ–ฅ์ด ๋ฐํ˜€์ง€๋ฉด์„œ ๋Œ€๊ธฐ์˜ค์—ผ์„ ๊ทœ์ œํ•˜๊ธฐ์œ„ํ•ด ํ™˜๊ฒฝ์˜ค์—ผ์— ๋Œ€ํ•œ ๋Œ€์ค‘์˜ ๊ด€์‹ฌ๋„๊ฐ€ ์ค‘์š”ํ•ด์กŒ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ์—์„œ๋Š” ๋Œ€๊ธฐ์˜ค์—ผ ์ˆ˜์น˜๊ฐ€ ํ™˜๊ฒฝ์˜ค์—ผ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•˜๊ณ  ๊ทธ ๊ตฌ์กฐ๋กœ์จ ๊ฑด๊ฐ•์˜ํ–ฅ์— ๋Œ€ํ•œ ์ธ์‹์ด ๋งค๊ฐœ์ฒด๋กœ์จ ์ž‘์šฉํ•˜๋Š”์ง€ ํƒ๊ตฌํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
ํฌํ•ญ ์‚ฐ์—…๋‹จ์ง€ ๊ฑด๊ฐ•ํ”ผํ•ด ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์œ„ํ•ด์†Œํ†ต ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ ํŒŒ์•…๋œ 400๋ช…์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. PM2.5์™€ ํ™˜๊ฒฝ์˜ค์—ผ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์˜ ๊ด€๊ณ„์— ๋Œ€ํ•ด์„œ ๋ณด๊ธฐ์œ„ํ•ด ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๊ณ , ๊ทธ ๊ตฌ์กฐ๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๋งค๊ฐœ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฑด๊ฐ•์˜ํ–ฅ์— ๋Œ€ํ•œ ์ธ์‹์ด ๋งค๊ฐœ์ฒด๋กœ์จ ์ž‘์šฉํ•˜๋Š”์ง€ ํ™•์ธํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋กœ์ง€์Šคํ‹ฑ ๋ถ„์„ ๊ฒฐ๊ณผ PM2.5 ์ˆ˜์น˜๋Š” ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๊ณผ ๊ด€๋ จ์ด ์žˆ์—ˆ๊ณ ([AOR]: 2.1, 95% CI: 1.3, 3.5, P = 0.003), ๊ฑด๊ฐ•์˜ํ–ฅ์— ๋Œ€ํ•œ ์ธ์‹๋„์™€๋„ ๊ด€๋ จ์ด ์žˆ์—ˆ๋‹ค(AOR: 3.4, 95% CI: 1.6, 7.1, P = 0.001). PM2.5์ˆ˜์น˜๋Š” ์ „์ฒด ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๋„์— ๋น„๊ต์œ„ํ—˜(%)์ด 9.9 (95 % CI: 5.4, 14.0)์ธ๋ฐ ์ „์ฒด์—์„œ 1.0 (95 % CI: 0.2, 2.3) ๋งŒ์ด ๊ฑด๊ฐ•์˜ํ–ฅ ์ธ์‹๋„์— ์˜ํ•ด ๋งค๊ฐœ๋˜๋Š” ๋น„๊ต์œ„ํ—˜์ด๋‹ค. ์ „์ฒด ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ PM2.5๊ฐ€ ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์— ๋ฏธ์น˜๋Š” ์ „์ฒด ์˜ํ–ฅ์˜ 10%๊ฐ€ ๊ฑด๊ฐ•์˜ํ–ฅ ์ธ์‹์— ๋งค๊ฐœ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ๋Œ€๊ธฐ์˜ค์—ผ ์ˆ˜์ค€์€ ํ™˜๊ฒฝ์˜ค์—ผ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๋„์™€ ๊ด€๋ จ์ด ์žˆ์—ˆ๋‹ค. ๊ฑด๊ฐ•์˜ํ–ฅ์— ๋Œ€ํ•œ ์ธ์‹์€ ๋Œ€๊ธฐ์˜ค์—ผ์ˆ˜์ค€์ด ํ™˜๊ฒฝ์˜ค์—ผ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์˜ ์ผ๋ถ€๋ฅผ ๋งค๊ฐœํ•˜์˜€๋‹ค.

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Special Issue
Association between irregular working hours and work-related musculoskeletal pain: results from the 6th Korean Working Conditions Survey
Munyoung Yang, Jun-Pyo Myong, Jongin Lee, Min Young Park, Mo-Yeol Kang
Ann Occup Environ Med 2023;35:e21.   Published online July 3, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e21
AbstractAbstract PDFSupplementary Material
Background

Recently, irregular working hours have become controversial issues in Korea. The health impact of irregular working hours on the work-related musculoskeletal pain (MSP) is scarcely researched before. We sought to investigate the association between irregular working hours and work-related MSP among South Korean workers.

Methods

This study used data from the sixth Korean Working Conditions Survey in 2020. The prevalence of work-related MSP was analyzed using the ฯ‡2 test. A multiple logistic regression analysis was conducted to assess the association between irregular working hours and work-related MSP. We conducted stratified analysis by gender, weekly working hours, and workersโ€™ control over their working hours. We calculated the adjusted odds ratios (ORs) of work-related MSP for irregular working hours combined with weekly working hours.

Results

The OR for work-related MSP was significantly higher in the population with irregular working hours than in the population with regular working hours (OR: 1.43, 95% confidence interval [CI]: 1.29โ€“1.58). Irregular and long (> 52 hours/week) working hours have the highest risk of work-related MSP in both genders (in men, OR: 3.48 [95% CI: 2.53โ€“4.78]; in women, OR: 2.41 [95% CI: 1.46โ€“4.00]).

Conclusions

Irregular working hours were associated with work-related MSP in Korea. The association was magnified with long working hours. Reform of the Korean Labor Standards Act leading to increase irregular working hours may induce adverse health outcome.


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Original Article
Correlation of commute time with the risk of subjective mental health problems: 6th Korean Working Conditions Survey (KWCS)
Hyo Choon Lee, Eun Hye Yang, Soonsu Shin, Seoung Ho Moon, Nan Song, Jae-Hong Ryoo
Ann Occup Environ Med 2023;35:e9.   Published online May 11, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e9
AbstractAbstract AbstractAbstract in Korean PDF
Background

Studies conducted so far on the link between commute time and mental health among Koreans remain insufficient. In this study, we attempted to identify the relationship between commute time and subjective mental health using the 6th Korean Working Conditions Survey (KWCS).

Methods

Self-reported commute time was divided into four groups: โ‰ค 30 (group 1), 30โ€“60 (group 2), 60โ€“120 (group 3), and > 120 minutes (group 4). Subjective depression was defined as a score of 50 points or less on the WHO-5 well-being index. Subjective anxiety and fatigue were defined as answering โ€˜yesโ€™ to the questionnaire on whether they had experienced it over the past year. The analysis of variance, t-test, and ฯ‡2 test was used to analyze the differences among the characteristics of the study participants according to commute time, depression, anxiety, and fatigue. Odds ratios (ORs) and 95% confidence intervals (CIs) for depression, anxiety, and fatigue according to commute time were calculated using multivariate logistic regression models adjusted for sex, age, monthly income, occupation, company size, weekly working hours, and shift work status.

Results

Long commute times showed increased ORs and graded increasing trends for depression, anxiety, and fatigue. The ORs for depression increased significantly in group 2 (1.06 [1.01โ€“1.11]), group 3 (1.23 [1.13โ€“1.33]), and group 4 (1.31 [1.09โ€“1.57]) compared to group 1 (reference). The ORs for anxiety increased significantly in group 2 (1.17 [1.06โ€“1.29]), group 3 (1.43 [1.23โ€“1.65]) and group 4 (1.89 [1.42โ€“2.53]). The ORs for fatigue increased significantly in group 2 (1.09 [1.04โ€“1.15]), group 3 (1.32 [1.21โ€“1.43]), and group 4 (1.51 [1.25โ€“1.82]).

Conclusions

This study highlights that the risk of depression, anxiety, and fatigue increases with commute time.

ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ์ฃผ๊ด€์  ์ •์‹ ๊ฑด๊ฐ•๋ฌธ์ œ ์œ„ํ—˜์˜ ์ƒ๊ด€๊ด€๊ณ„ : ์ œ6์ฐจ ํ•œ๊ตญ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ
๋ชฉ์ 
ํ•œ๊ตญ์ธ๋“ค์˜ ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ์ •์‹  ๊ฑด๊ฐ•์˜ ๊ด€๊ณ„์— ๋Œ€ํ•ด ์ง€๊ธˆ๊นŒ์ง€ ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ๋Š” ๋งค์šฐ ๋ถ€์กฑํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ6์ฐจ ํ•œ๊ตญ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ์ฃผ๊ด€์  ์ •์‹ ๊ฑด๊ฐ•์˜ ๊ด€๊ณ„๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์ž๊ฐ€ ๋ณด๊ณ ๋œ ํ†ต๊ทผ ์‹œ๊ฐ„์€ 30๋ถ„ ์ดํ•˜(1๊ตฐ), 30๋ถ„-60๋ถ„(2๊ตฐ), 60๋ถ„-120๋ถ„(3๊ตฐ), 120๋ถ„ ์ดˆ๊ณผ(4๊ตฐ)์˜ 4๊ฐœ ๊ทธ๋ฃน์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์ฃผ๊ด€์  ์šฐ์šธ์€ WHO-5 ์›ฐ๋น™ ์ง€์ˆ˜ 50์  ์ดํ•˜์ธ ๊ฒฝ์šฐ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ์ฃผ๊ด€์  ๋ถˆ์•ˆ๊ณผ ํ”ผ๋กœ๋Š” ์ง€๋‚œ 1๋…„๊ฐ„ ์ด๋Ÿฌํ•œ ์ฆ์ƒ์„ ๊ฒฝํ—˜ํ•œ ์ ์ด ์žˆ๋Š”์ง€์— ๋Œ€ํ•œ ์„ค๋ฌธ์ง€์— '๊ทธ๋ ‡๋‹ค'๊ณ  ๋Œ€๋‹ตํ•œ ๊ฒฝ์šฐ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ๋ถ„์‚ฐ๋ถ„์„, T-๊ฒ€์ • ๋ฐ ์นด์ด-์ œ๊ณฑ ๊ฒ€์ •์„ ์‚ฌ์šฉํ•˜์—ฌ ์ถœํ‡ด๊ทผ ์‹œ๊ฐ„, ์šฐ์šธ, ๋ถˆ์•ˆ, ํ”ผ๋กœ์— ๋”ฐ๋ฅธ ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž๋“ค์˜ ํŠน์„ฑ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์„ฑ๋ณ„, ์—ฐ๋ น, ์›” ์†Œ๋“, ์ง์—…, ํšŒ์‚ฌ ๊ทœ๋ชจ, ์ฃผ๋‹น ๊ทผ๋กœ ์‹œ๊ฐ„, ๊ต๋Œ€๊ทผ๋ฌด ์ƒํƒœ๋ฅผ ๋ณด์ •ํ•œ ๋‹ค๋ณ€๋Ÿ‰ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ชจํ˜•์„ ์ด์šฉํ•˜์—ฌ, ํ†ต๊ทผ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์šฐ์šธ, ๋ถˆ์•ˆ, ํ”ผ๋กœ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„์™€ 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„์„ ์‚ฐ์ถœํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๊ธด ํ†ต๊ทผ ์‹œ๊ฐ„์€ ์šฐ์šธ, ๋ถˆ์•ˆ, ํ”ผ๋กœ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„ ์ฆ๊ฐ€ ๋ฐ ์ ์ง„์ ์ธ ์ƒ์Šน ์ถ”์„ธ๋ฅผ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์šฐ์šธ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„๋Š” 2๊ตฐ(1.06[1.01-1.11]), 3๊ตฐ(1.23[1.13-1.33])๊ณผ 4๊ตฐ(1.31[1.09-1.57])์—์„œ 1๊ตฐ(์ฐธ์กฐ๊ตฐ)์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋ถˆ์•ˆ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„๋Š” 2๊ตฐ(1.17[1.06-1.29]), 3๊ตฐ(1.43[1.23-1.65])๊ณผ 4๊ตฐ(1.89[1.42-2.53])์—์„œ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ–ˆ๋‹ค. ํ”ผ๋กœ์— ๋Œ€ํ•œ ์˜ค์ฆˆ๋น„๋Š” 2๊ตฐ(1.09[1.04-1.15]), 3๊ตฐ(1.32[1.21-1.43])๊ณผ 4๊ตฐ(1.51[1.25-1.82])์—์„œ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ–ˆ๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ๋Š” ์ถœํ‡ด๊ทผ ์‹œ๊ฐ„์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์šฐ์šธ์ฆ, ๋ถˆ์•ˆ, ํ”ผ๋กœ์˜ ์œ„ํ—˜์ด ์ฆ๊ฐ€ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๊ฐ•์กฐํ•œ๋‹ค.

Citations

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  • Study on the influence of commuting time on workers' health status and its mechanism
    Yu Gan, Jing Zhang
    Journal of Transport & Health.2025; 41: 102010.     CrossRef
  • Association between commute time and loneliness: An analysis based on 2023 Seoul survey data
    Baek-Yong Choi, Ji-Hyeon Lee, Seok-Yoon Son, Seung-Woo Ryoo, Jin-Young Min, Kyoung-Bok Min
    Journal of Transport & Health.2025; 43: 102059.     CrossRef
  • Six years of car driving experience: impact of psychological status, sleep, fatigue and quality of life in female drivers in Saudi Arabia: an online survey study
    Thamir Al-khlaiwi, Dena S. Alsuhaibani, Hoor K. Aloraini, Jana I. Alhazmi, Razan A. Almohanna, Sara A. Alsheikh, Turkia A. Alsheik, Norah Alrashoud, Muhammad Iqbal
    BMC Public Health.2025;[Epub]     CrossRef
  • Association between sudden work recall and psychological health issues: a cross-sectional analysis of the 6th Korean Working Conditions Survey
    Dong-Woo Kim, June-Hee Lee, In-Ho Lee, Kyung-Jae Lee
    Annals of Occupational and Environmental Medicine.2025; 37: e33.     CrossRef
  • 4,068 View
  • 53 Download
  • 5 Web of Science
  • 4 Crossref
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Original Article
Relationship between shellfish consumption and urinary phthalate metabolites: Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015-2017)
Jisoo Kang, Seong-yong Cho, Jinseok Kim, Seongyong Yoon, Jong-min An, Gayoung Kim, Si young Kim
Ann Occup Environ Med 2023;35:e2.   Published online February 6, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e2
AbstractAbstract AbstractAbstract in Korean PDF
Background

Phthalates are endocrine disrupting chemicals that are widely used in the production of items of daily life such as in polyvinylchloride plastics, insecticides, and medical devices. This study aimed to determine the association between phthalate exposure and shellfish consumption using data from the Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015โ€“2017), which is a nationally representative survey.

Methods

In this study, we analyzed the KoNEHS cycle 3 data of 3,333 (1,526 men and 1,807 women) adults aged more than 19 years. Data related to the variables of sociodemographic factors, health-related behaviors, dietary factors, seafood consumption frequency, and urinary phthalate metabolites concentrations were collected. The concentrations of urinary phthalate metabolites of all the participants were divided into quartiles to define high and low concentration groups based on the 75th percentile concentration. A ฯ‡2 test was conducted to analyze the distribution of independent variables. To analyze the relationship between shellfish consumption and phthalate exposure, the odds ratios (ORs) were calculated using logistic regression analysis.

Results

Total adults with shellfish consumption frequency of over once a week showed the following adjusted ORs for high concentrations of the following metabolites compared with the group that consumed shellfish once a week or less: 1.43 (95% confidence interval [CI]: 1.01โ€“2.06) for mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP), 1.43 (95% CI: 1.01โ€“2.03) for mono-(2-ethyl-5-carboxypentyl) phthalate (MECPP), 1.57 (95% CI: 1.10โ€“2.24) for โˆ‘di-2-ethylhexyl phthalate (โˆ‘DEHP), 2.01 (95% CI: 1.46โ€“2.77) for mono-carboxyoctyl phthalate (MCOP), 1.56 (95% CI: 1.11โ€“2.18) for mono-carboxy-isononly phthalate (MCNP), and 2.57 (95% CI: 1.85โ€“3.56) for mono (3-carboxypropyl) phthalate (MCPP).

Conclusions

The concentrations of urinary phthalate metabolites (MEOHP, MECPP, โˆ‘DEHP, MCOP, MCNP, and MCPP) were higher in adults with a higher frequency of shellfish consumption.

๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ œ3๊ธฐ(2015-2017) ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•œ ์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ์™€ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด๊ฐ„์˜ ๊ด€๊ณ„
๋ชฉ์ 
ํ”„ํƒˆ๋ ˆ์ดํŠธ(phthalate)๋Š” ๋‚ด๋ถ„๋น„๊ณ„ ์žฅ์• ๋ฌผ์งˆ(endocrine disrupting chemicals, EDCs)๋กœ์„œ, ์ผ์ƒ์ƒํ™œ์—์„œ ๊ฐ€์†Œ์ œ, ์‚ด์ถฉ์ œ, ์˜๋ฃŒ๊ธฐ๊ธฐ ๋“ฑ์œผ๋กœ ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํ”„ํƒˆ๋ ˆ์ดํŠธ๋Š” ํ•ด์–‘ ์ƒํƒœ๊ณ„์—์„œ ๋„๋ฆฌ ๋ฐœ๊ฒฌ๋˜๋ฉฐ, ์กฐ๊ฐœ๋ฅ˜๋Š” ํ•ด์–‘์ƒํƒœ๊ณ„์˜ค์—ผ์˜ ๋Œ€ํ‘œ์ ์ธ ์ง€ํ‘œ๋กœ ์‚ฌ์šฉ๋œ๋‹ค. ํ˜„์žฌ๊นŒ์ง€ ํ•ด์–‘ ์ƒํƒœ๊ณ„์˜ ํ”„ํƒˆ๋ ˆ์ดํŠธ์˜ ์˜ค์—ผ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜๊ณ  ์žˆ์œผ๋‚˜ ๊ตญ๋‚ด์—์„œ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋…ธ์ถœ๊ณผ ์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ์™€ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ์•„์ง ์ด๋ฃจ์–ด์ง„ ๋ฐ”๊ฐ€ ์—†๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ์ธ๊ตฌ๋ฅผ ๋Œ€ํ‘œํ•˜๋Š” ์ž๋ฃŒ์ธ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ œ3๊ธฐ(2015-2017) ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด์™€ ์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ์™€์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ–ˆ๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ œ3๊ธฐ(2015-2017) ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋งŒ 19์„ธ ์ด์ƒ ์„ฑ์ธ 3,333๋ช…(๋‚จ์ž1,526๋ช…๊ณผ ์—ฌ์ž1,807๋ช…)์„ ๋Œ€์ƒ์œผ๋กœ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‚ฌํšŒ์ธ๊ตฌํ•™์  ๋ณ€์ˆ˜ ๋ฐ ๊ฑด๊ฐ•ํ–‰ํƒœ ๊ด€๋ จ ๋ณ€์ˆ˜ ๋ฐ ์‹์ด ์š”์ธ๊ณผ ํ•ด์‚ฐ๋ฌผ์˜ ์„ญ์ทจ ๋นˆ๋„, ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๋†๋„๋ฅผ ๋ณ€์ˆ˜๋กœ ๋‘์–ด ๊ฐ ๋ณ€์ˆ˜ ๊ฐ„์˜ ๋ถ„ํฌ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ๋นˆ๋„์— ๋”ฐ๋ผ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๊ณ ๋†๋„๊ตฐ์— ์†ํ•  OR๊ฐ’์„ ๊ณ„์‚ฐํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ์˜ ๊ฒฝ์šฐ ์ฃผ 1ํšŒ ์ดˆ๊ณผ๊ตฐ์—์„œ MEOHP์˜ ๊ณ ๋†๋„๊ตฐ์— ํ•ด๋‹น๋  adjusted ORs์€ 1.43(95%CI: 1.01-2.06), MECPP 1.43(95%CI: 1.01-2.03), โˆ‘DEHP 1.57(95%CI: 1.10-2.24), MCOP 2.01(95%CI: 1.46-2.77), MCNP 1.56(95%CI: 1.11-2.18), MCPP 2.57(95%CI: 1.85-3.56)์œผ๋กœ ์กฐ์‚ฌ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
์„ฑ์ธ์—์„œ ์กฐ๊ฐœ๋ฅ˜ ์„ญ์ทจ ๋นˆ๋„๊ฐ€ ๋งŽ์„์ˆ˜๋ก ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด(MEOHP, MECPP, โˆ‘DEHP, MCOP, MCNP, MCPP) ๋†๋„๊ฐ€ ๋†’์•˜๋‹ค.

Citations

Citations to this article as recorded by  
  • Filling gaps in population estimates of phthalate exposure globally: A systematic review and meta-analysis of international biomonitoring data
    Jonathan M. Acevedo, Linda G. Kahn, Kristyn A. Pierce, Vittorio Albergamo, Anna Carrasco, Robbie S.J. Manuel, Marissa Singer Rosenberg, Leonardo Trasande
    International Journal of Hygiene and Environmental Health.2025; 265: 114539.     CrossRef
  • Urinary phthalate metabolites and heart rate variability: A panel study
    Ziqian Zhang, Miao Liu, Lei Zhao, Linlin Liu, Wenting Guo, Jie Yu, Huihua Yang, Xuefeng Lai, Xiaomin Zhang, Liangle Yang
    Environmental Pollution.2023; 330: 121760.     CrossRef
  • Microplastics induced inflammation and apoptosis via ferroptosis and the NF-ฮบB pathway in carp
    Tianchao Xu, Jie Cui, Ran Xu, Jingwen Cao, Meng-yao Guo
    Aquatic Toxicology.2023; 262: 106659.     CrossRef
  • Relationship between the use of plastics in refrigerator food storage and urine phthalate metabolites: the Korean National Environmental Health Survey (KoNEHS) cycle 3
    Jisoo Kang, Seong-yong Cho, Seongyong Yoon
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • 2,446 View
  • 15 Download
  • 5 Web of Science
  • 4 Crossref
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Original Article
Relationship between crustacean consumption and serum perfluoroalkyl substances (PFAS): the Korean National Environmental Health Survey (KoNEHS) cycle 4
Sung Woo Huh, Seong-yong Cho, Seongyong Yoon, Daehwan Kim, Hyun Woo Park, Jisoo Kang, Keon Woo Kim
Ann Occup Environ Med 2024;36:e12.   Published online April 19, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e12
AbstractAbstract AbstractAbstract in Korean PDF
Background

Perfluoroalkyl substances (PFASs) are non-aromatic organic compounds, whose hydrogen atoms in the carbon chain substituted by fluorine atoms. PFASs exhibit developmental toxicity, carcinogenicity, hepatotoxicity, reproductive toxicity, immunotoxicity, and hormone toxicity. PFASs are used in the production of disposable food packages, aircraft and automobile devices, cooking utensils, outdoor gear, furniture and carpets, aqueous film forming foam (AFFF), cables and wires, electronics, and semiconductors. This study aimed to determine the association between crustacean consumption and serum PFASs.

Methods

Adult participants (2,993) aged โ‰ฅ 19 years were extracted from the 4th cycle data of the Korean National Environmental Health Survey (KoNEHS). Based on the 50th percentile concentrations of serum PFASs, participants were divided into the low-concentration group (LC) and the high-concentration group (HC). General characteristics, dietary factors, coated product usage, and personal care product usage, an independent t-test and ฯ‡2 test were analyzed. The odds ratio (OR) of serum PFAS concentration against crustacean consumption was estimated via logistic regression analysis adjusting for general characteristics, dietary factors, coated product usage, and personal care product usage.

Results

The OR for the HC of serum PFASs was higher in individuals with โ‰ฅonce a week crustacean consumption than in those with < once a week crustacean consumption. Estimated ORs were perfluorohexanesulfonic acid 2.15 (95% confidence interval [CI]: 1.53โ€“3.02), perfluorononanoic acid (PFNA) 1.23 (95% CI: 1.07โ€“1.41), and perfluorodecanoic acid (PFDeA) 1.42 (95% CI: 1.17โ€“1.74) in males, and perfluorooctanoic acid 1.48 (95% CI: 1.19โ€“1.84), perfluorooctanesulfonic acid 1.39 (95% CI: 1.27โ€“1.52), PFNA 1.70 (95% CI: 1.29โ€“2.26) and PFDeA 1.43 (95% CI: 1.32โ€“1.54) in females.

Conclusions

This study revealed the association between the crustacean consumption and concentrations of serum PFASs in general Korean population.

์ œ4๊ธฐ(2018-2020) ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•œ ๊ฐ‘๊ฐ๋ฅ  ์„ญ์ทจ์™€ ํ˜ˆ์ฒญ ๊ด๋ถˆํ™”ํ™”ํ•ฉ๋ฌผ(PFAS)๊ณผ์˜ ๊ด€๊ณ„
๋ชฉ์ 
๊ณผ๋ถˆํ™”ํ™”ํ•ฉ๋ฌผ์€ ํƒ„์†Œ ์‚ฌ์Šฌ์— ๊ฒฐํ•ฉ ๋˜์–ด ์žˆ๋Š” ์ˆ˜์†Œ ์›์ž๊ฐ€ ๋ถˆ์†Œ ์›์ž๋กœ ๋Œ€์ฒด๋œ ๋น„๋ฐฉํ–ฅ์กฑ ์œ ๊ธฐ ํ™”ํ•ฉ๋ฌผ์ด๋‹ค. PFAS ๋Š” ๋ฐœ๋‹ฌ ๋…์„ฑ, ๋ฐœ์•”์„ฑ, ๊ฐ„ ๋…์„ฑ, ์ƒ์‹ ๋…์„ฑ, ๋ฉด์—ญ ๋…์„ฑ, ์‹ ๊ฒฝ ๋…์„ฑ ๋ฐ ํ˜ธ๋ฅด๋ชฌ ๋…์„ฑ ๋“ฑ์„ ๊ฐ€์ง„๋‹ค. PFAS๋Š” ์ผํšŒ์šฉ ์‹ํ’ˆ ํฌ์žฅ, ํ•ญ๊ณต, ์ž๋™์ฐจ, ์กฐ๋ฆฌ๊ธฐ๊ตฌ, ์•„์›ƒ๋„์–ด ์šฉํ’ˆ, ๊ฐ€๊ตฌ ๋ฐ ์นดํŽซ, ์ˆ˜์„ฑ๋ง‰ํฌ, ์ผ€์ด๋ธ” ๋ฐ ๋ฐฐ์„ , ์ „์ž ๋ฐ ๋ฐ˜๋„์ฒด ์ƒ์‚ฐ์— ์‚ฌ์šฉ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ตญ๊ฐ€๋ฅผ ๋Œ€ํ‘œํ•˜๋Š” ์กฐ์‚ฌ์ธ ํ•œ๊ตญ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ(KoNEHS) 4์ฃผ๊ธฐ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ‘๊ฐ๋ฅ˜ ์„ญ์ทจ์™€ ํ˜ˆ์ฒญ PFAS๋…ธ์ถœ๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•˜๋ ค๊ณ  ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
KoNEHS 4์ฃผ๊ธฐ์˜ ๋ฐ์ดํ„ฐ์—์„œ 19์„ธ ์ด์ƒ ์„ฑ์ธ 2,993๋ช…์˜ ์ฐธ๊ฐ€์ž๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ํ˜ˆ์ฒญ PFAS ์˜ 50๋ฒˆ์งธ ๋ฐฑ๋ถ„์œ„ ์ˆ˜ ๋†๋„๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์ €๋†๋„๊ตฐ๊ณผ ๊ณ ๋†๋„๊ตฐ์œผ๋กœ ๋‚˜๋ˆ„์—ˆ๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ํ˜ˆ์ฒญ PFAS ๋†๋„์™€ ์ผ๋ฐ˜์  ํŠน์„ฑ, ์‹์ด์š”์ธ, ์ฝ”ํŒ…์šฉํ’ˆ ์‚ฌ์šฉ, ๋ฏธ์šฉ์ œํ’ˆ ์‚ฌ์šฉ๊ฐ„์˜ ๋ถ„ํฌ ๋ฐ ํ‰๊ท ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋…๋ฆฝ t-๊ฒ€์ •๊ณผ ฯ‡2 ํ…Œ์ŠคํŠธ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ฐ‘๊ฐ๋ฅ˜ ์„ญ์ทจ์— ๋Œ€ํ•œ ํ˜ˆ์ฒญ PFAS์˜ ์Šน์‚ฐ๋น„๋Š” ์ผ๋ฐ˜์  ํŠน์„ฑ, ์‹์ด์š”์ธ, ์ฝ”ํŒ…์šฉํ’ˆ ์‚ฌ์šฉ, ๋ฏธ์šฉ์ œํ’ˆ ์‚ฌ์šฉ์„ ๋ณด์ •ํ•œ ํ›„ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ‘๊ฐ๋ฅ˜ ์ฃผ1ํšŒ์ด์ƒ ์„ญ์ทจ๊ตฐ์€ ์ฃผ1ํšŒ๋ฏธ๋งŒ ์„ญ์ทจ๊ตฐ์— ๋น„ํ•ด ํ˜ˆ์ฒญ PFAS ๊ณ ๋†๋„๊ตฐ์— ์†ํ•  OR ๊ฐ’์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋‚จ์„ฑ์—์„œ๋Š” PFHxS 2.15(95% confidence interval [CI]; 1.53-3.02), PFNA 1.23(95% CI; 1.07-1.41), PFDeA 1.42(95% CI; 1.17-1.74), ์—ฌ์„ฑ์—์„œ๋Š” PFOA 1.48(95% CI; 1.19-1.84), PFOS 1.39(95% CI; 1.27-1.52), PFNA 1.70(95% CI; 1.29-2.26), PFDeA 1.43(95% CI; 1.32-1.54) ์ด์—ˆ๋‹ค.
๊ฒฐ๋ก 
๊ฐ‘๊ฐ๋ฅ˜ ์„ญ์ทจ ํšŸ์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก ํ˜ˆ์ฒญ PFAS (PFOA, PFOS, PFHxS, PFNA, PFDeA) ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค.

Citations

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  • Environment-wide association study of five per- and polyfluoroalkyl substance (PFASs) exposure pathways in Korean adolescents from the Korean National Environmental Health Survey (2018โ€“2020)
    Soonsu Shin, Dajeong Ham, Sanghyuk Bae
    Chemosphere.2025; 373: 144161.     CrossRef
  • Environmental disease monitoring by regional Environmental Health Centers in Korea: a narrative review
    Myung-Sook Park, Hwan-Cheol Kim, Woo Jin Kim, Yun-Chul Hong, Won-Jun Choi, Seock-Yeon Hwang, Jiho Lee, Young-Seoub Hong, Yong-Dae Kim, Seong-Chul Hong, Joo Hyun Sung, Inchul Jeong, Kwan Lee, Won-Ju Park, Hyun-Joo Bae, Seong-Yong Yoon, Cheolmin Lee, Kyoung
    The Ewha Medical Journal.2025;[Epub]     CrossRef
  • Presence of per- and poly-fluoroalkyl substances (PFAS) in brain samples of marine mammals from the St. Lawrence Estuary and Gulf, Canada
    Nejumal Kannankeril Khalid, Amira Aker, Stรฉphane Lair, Sรฉbastien Sauvรฉ
    Environmental Science: Advances.2025; 4(10): 1599.     CrossRef
  • Association between exposure to VOCs mixture and impaired renal function in Korean adults
    Seong-Uk Baek, Jin-Ha Yoon
    American Journal of Epidemiology.2025;[Epub]     CrossRef
  • The Exposure Status of Environmental Chemicals in South Korea: The Korean National Environmental Health Survey 2018โ€“2020
    Sooyeon Hong, Ok-Jin Kim, Sun Kyoung Jung, Hye Li Jeon, Suejin Kim, Jihyon Kil
    Toxics.2024; 12(11): 829.     CrossRef
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Original Article
Cooking oil fume exposure and Lung-RADS distribution among school cafeteria workers of South Korea
Minjun Kim, Yangho Kim, A Ram Kim, Woon Jung Kwon, Soyeoun Lim, Woojin Kim, Cheolin Yoo
Ann Occup Environ Med 2024;36:e2.   Published online January 31, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e2
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Cooking oil fumes (COFs) from cooking with hot oil may contribute to the pathogenesis of lung cancer. Since 2021, occupational lung cancer for individual cafeteria workers has been recognized in South Korea. In this study, we aimed to identify the distribution of lung-imaging reporting and data system (Lung-RADS) among cafeteria workers and to determine factors related to Lung-RADS distribution.

Methods

We included 203 female participants who underwent low-dose computed tomography (LDCT) screening at a university hospital and examined the following variables: age, smoking status, second-hand smoke, height, weight, and years of service, mask use, cooking time, heat source, and ventilation. We divided all participants into culinary and non-culinary workers. Binomial logistic regression was conducted to determine the risk factors on LDCT of Category โ‰ฅ 3, separately for the overall group and the culinary group.

Results

In this study, Lung-RADS-positive occurred in 17 (8.4%) individuals, all of whom were culinary workers. Binary logistic regression analyses were performed and no variables were found to have a significant impact on Lung-RADS results. In the subgroup analysis, the Lung-RADS-positive, and -negative groups differed only in ventilation. Binary logistic regression showed that the adjusted odds ratio (aOR) of the Lung-RADS-positive group for inappropriate ventilation at the workplace was 14.89 (95% confidence interval [CI]: 3.296โ€“67.231) compared to appropriate ventilation as the reference, and the aOR for electric appliances at home was 4.59 (95% CI: 1.061โ€“19.890) using liquid fuel as the reference.

Conclusions

The rate of Lung-RADS-positive was significantly higher among culinary workers who performed actual cooking tasks than among nonculinary workers. In addition, appropriate ventilation at the workplace made the LDCT results differ. More research is needed to identify factors that might influence LDCT findings among culinary workers, including those in other occupations.

ํ•œ๊ตญ ํ•™๊ต ๊ธ‰์‹์†Œ ์ข…์‚ฌ์ž์˜ ์กฐ๋ฆฌํ„ ๋…ธ์ถœ๊ณผ Lung-RADS ๋ถ„ํฌ
๋ชฉ์ 
2021๋…„๋ถ€ํ„ฐ ํ•œ๊ตญ์—์„œ๋Š” ๊ฐœ๋ณ„ ํ•™๊ต ๊ธ‰์‹ ์ข…์‚ฌ์ž์˜ ํ์•” ์‚ฐ์—…์žฌํ•ด๊ฐ€ ์ธ์ •๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธ‰์‹ ์ข…์‚ฌ์ž๋“ค์˜ Lung-imaging reporting and data system ( Lung-RADS ) ๋ถ„ํฌ๋ฅผ ํ™•์ธํ•˜๊ณ , Lung-RADS ๋ถ„ํฌ์™€ ๊ด€๋ จ๋œ ์š”์ธ์„ ํƒ์ƒ‰ํ•ด๋ณด๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
2020๋…„๋„์— ์šธ์‚ฐ๋Œ€ํ•™๋ณ‘์›์—์„œ ์ €์„ ๋Ÿ‰ CT๋ฅผ ์ดฌ์˜ํ•œ ์—ฌ์„ฑ ์ฐธ๊ฐ€์ž ์ค‘ 203๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋‚˜์ด, ํก์—ฐ ์—ฌ๋ถ€, ๊ฐ„์ ‘ ํก์—ฐ ์—ฌ๋ถ€, ํ‚ค, ์ฒด์ค‘, ๊ทผ๋ฌด ๋…„์ˆ˜, ๋งˆ์Šคํฌ ์ฐฉ์šฉ ์—ฌ๋ถ€, ์กฐ๋ฆฌ ์‹œ๊ฐ„, ์—ด์›, ํ™˜๊ธฐ๋ฐฉ์‹ ๋“ฑ์˜ ๋ณ€์ˆ˜๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์ฐธ๊ฐ€์ž๋ฅผ ์กฐ๋ฆฌ์ง, ๋น„์กฐ๋ฆฌ์ง์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ๋ฒ”์ฃผ 3์ด์ƒ์— ๋Œ€ํ•œ ์˜ํ–ฅ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ด๋ถ„ํ˜• ๋กœ์ง€์Šคํ‹ฑ์„ ์ „์ฒด์ง‘๋‹จ ์กฐ๋ฆฌ์ง ์ง‘๋‹จ์— ๋‚˜๋ˆ„์–ด ์‹ค์‹œํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
Lung-RADS ์–‘์„ฑ์€ 17 (8.4%)๋ช…์—๊ฒŒ์„œ ๋ฐœ์ƒํ–ˆ๊ณ  ๋ชจ๋‘ ์กฐ๋ฆฌ์ง์— ํ•ด๋‹นํ–ˆ๋‹ค. ์ด๋ถ„ํ˜• ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•œ ๊ฒฐ๊ณผ ์ „์ฒด์ง‘๋‹จ์—์„œ Lung-RADS ๊ฒฐ๊ณผ์— ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋ณ€์ˆ˜๋Š” ํ™•์ธํ•  ์ˆ˜ ์—†์—ˆ๋‹ค. Subgroup ๋ถ„์„์—์„œ Lung-RADS ์–‘์„ฑ, ์Œ์„ฑ๊ตฐ์€ ์ง์žฅ ๋‚ด ํ™˜๊ธฐ๋ฐฉ์‹์—์„œ๋งŒ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ์ด๋ถ„ํ˜• ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ ์ง์žฅ์—์„œ ํ™˜๊ธฐ๋ฅผ ์ฒ ์ €ํžˆ ํ•œ ๊ฒƒ์„ ์ฐธ๊ณ ์น˜๋กœ ํ–ˆ์„ ๋•Œ ๋ถ€์ ์ ˆํ•œ ํ™˜๊ธฐ์— ๋Œ€ํ•œ Lung-RADS ์–‘์„ฑ์˜ ์˜ค๋“œ๋น„๊ฐ€ 14.89์ด๊ณ  ๊ฐ€์ •์—์„œ ์•กํ™”์—ฐ๋ฃŒ ์‚ฌ์šฉ์„ ์ฐธ๊ณ ์น˜๋กœ ํ–ˆ์„ ๋•Œ ์ „๊ธฐ ์š”๋ฆฌ๊ธฐ๊ตฌ ์‚ฌ์šฉ์˜ ์˜ค๋“œ๋น„๋Š” 4.59์ด์˜€๋‹ค.
๊ฒฐ๋ก 
์‹ค์ œ ์กฐ๋ฆฌ์—…๋ฌด๋ฅผ ์‹œํ–‰ํ•˜๋Š” ์กฐ๋ฆฌ์ง์˜ ๊ฒฝ์šฐ ๋น„์กฐ๋ฆฌ์ง์— ๋น„ํ•ด Lung-RADS ์–‘์„ฑ ๋น„์œจ์ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ๋˜ํ•œ ์กฐ๋ฆฌ์‹ค ํ™˜๊ฒฝ์—์„œ ํ™˜๊ธฐ๋ฅผ ์ฒ ์ €ํ•˜๊ฒŒ ํ•˜๋Š” ๊ฒƒ์ด Lung-RADS ์†Œ๊ฒฌ์— ์˜ํ–ฅ์„ ์ฃผ์—ˆ๋‹ค.

Citations

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  • Exposure to cooking fumes in cafeteria workers in Korean schools: a pilot study
    Daesung Lim, Yong Min Cho
    Annals of Work Exposures and Health.2025; 69(1): 109.     CrossRef
  • Lung Cancer Risk in Female School Cooks: A Nationwide Retrospective Cohort Study in the Republic of Korea
    Jungwon Jang, Eun Mi Kim, Jaiyong Kim, Jeehee Min, Inah Kim
    Safety and Health at Work.2025; 16(1): 105.     CrossRef
  • Radiological Changes in Chest Computed Tomography Findings of School Cooks: A Comparative Study With Age-matched Controls
    Jung Hee Hong, Jin Young Kim, Kiook Baek
    Safety and Health at Work.2025; 16(2): 228.     CrossRef
  • Cancer-related Keywords in 2023: Insights from Text Mining of a Major Consumer Portal
    Wonjeong Jeong, Eunkyoung Song, Eunzi Jeong, Kyoung Hee Oh, Hye-Sun Lee, Jae Kwan Jun
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Original Article
Association between lone work and self-rated health status: using the 5th Korean Working Conditions Survey
Eunseun Han, Ui-Jin Kim, Yongho Lee, Sanghyuk Lee, Seunghon Ham, Wanhyung Lee, Won-Jun Choi, Seong-Kyu Kang
Ann Occup Environ Med 2023;35:e29.   Published online July 31, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e29
AbstractAbstract PDFSupplementary Material
Background

Lone workers are generally defined as individuals who work alone without supervision, including self-employed people. While lone workers are considered a vulnerable group in some countries, there is a lack of research on their health status in domestic studies. Globally, the number of lone workers has been increasing, and this trend has been further accelerated since the coronavirus disease 2019 (COVID-19) pandemic with the rise of remote work.

Methods

The study analyzed data from 44,281 participants, excluding unpaid family workers, soldiers, and those with missing data. Lone workers were defined as individuals who reported having no colleagues with the same job at their current workplace. Self-rated health status was categorized as โ€œgoodโ€ or โ€œpoor.โ€

Results

This study found a statistically significant higher number of lone workers among women compare to men. The largest occupational category for lone workers was service and sales workers, followed by agriculture and fisheries workers. A majority of non-lone workers reported working 40 hours or less per week, while the majority of lone workers reported working 53 hours or more per week. In addition, lone workers had significantly poorer health status evaluations compared to non-lone workers (odds ratio: 1.297; 95% confidence interval: 1.165โ€“1.444).

Conclusions

Further research is needed to investigate the causal relationship between lone work and health, using data collected after the COVID-19 pandemic.


Citations

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  • Association Between Precarious Employment and Cognitive Decline: A Longitudinal Study of Middle-Aged and Older Workers in Korea
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of General Internal Medicine.2025; 40(10): 2292.     CrossRef
  • Association between single-person household wage workers in South Korea and insomnia symptoms: the 6th Korean Working Conditions Survey (KWCS)
    Yoon Ho Lee, Yong-Jin Lee, Eun-Chul Jang, Young-Sun Min, Soon-Chan Kwon
    Ann Occup Environ Med.2024; 36: e25.     CrossRef
  • 3,657 View
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  • 4 Web of Science
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Original Article
Combined effect of work from home and work during nonwork time on sleep disturbance
Jiyoung Lim, Hyundong Lee, Jae Bum Park, Kyung-Jong Lee, Inchul Jeong, Jaehyuk Jung
Ann Occup Environ Med 2023;35:e28.   Published online July 31, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e28
AbstractAbstract PDFSupplementary Material
Background

Owing to the coronavirus disease 2019 pandemic, being exposed to work from home and work during nonwork time simultaneously can lead to sleep disturbance; however, their combined effect is unclear. We aimed to investigate the combined effect of work from home and work during nonwork time on sleep disturbance.

Methods

This study used data from the Sixth Korean Working Condition Survey and included 27,473 paid workers. Logistic regression analysis was conducted to investigate the relationship between work from home, work during nonwork time, and sleep disturbance according to sex. We re-classified participants into 4 groups based on their working from home (No/Yes) and working during nonwork time (No/Yes). The relative excess risk due to interaction was calculated to examine the effect of exposure to both telecommuting and non-regular work hours on sleep disturbance.

Results

Workers exposed to work from home and work during nonwork time had significantly higher risks of sleep disturbance for all, men, and women workers (OR [95% CI]: 1.71 [1.46โ€“2.02], 1.79 [1.43โ€“2.23], and 1.64 [1.29โ€“2.08] for work from home and 3.04 [2.70โ€“3.42], 3.61 [3.09โ€“4.22], and 2.41 [2.01โ€“2.90] for work during nonwork time, respectively). Compared to those who were not exposed to both factors, when workers had both job factors, the ORs (95% CI) of sleep disturbance for all, men, and women were 3.93 (2.80โ€“5.53), 5.08 (3.21โ€“8.03), and 2.91 (1.74โ€“4.87), respectively. The relative excess risk due to interaction of work from home and work during nonwork time was not significant for sleep disturbance.

Conclusions

Work from home and work during nonwork time were each associated with sleep disturbance, but the interaction between the two factors on sleep disturbance was not observed in both men and women.


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    Journal of Occupational & Environmental Medicine.2025; 67(4): e239.     CrossRef
  • Longitudinal Effects of Remote Work Frequency on Insomnia Symptoms and Short Sleep Duration Among Japanese Workers
    Yuichiro Otsuka, Tomomi Miyoshi, Yuki Tanaka, Suguru Nakajima, Yoshitaka Kaneita
    Journal of Sleep Research.2025;[Epub]     CrossRef
  • Association between work from home and health-related productivity loss among Korean employees
    Hyo Jeong Kim, Dong Wook Lee, Jaesung Choi, Yun-Chul Hong, Mo-Yeol Kang
    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • 2,871 View
  • 25 Download
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  • 3 Crossref
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Original Article
Environment-wide association study of elevated liver enzymes: results from the Korean National Environmental Health Survey 2018โ€“2022
Youngchan Chi, Jong-Tae Park, Sewhan Na, Kyeongmin Kwak
Ann Occup Environ Med 2023;35:e27.   Published online July 31, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e27
AbstractAbstract PDFSupplementary Material
Background

Environmental exposure is characterized by low concentration, chronic, and complex exposure. Traditional epidemiological studies show limitations in reflecting these characteristics since they usually focus on a single or very limited number of exposure factors at a time. In this study, we adopted the methodology of environment-wide association study (EWAS) to figure out the association of human liver function with various environmentally hazardous substances.

Methods

We analyzed 2,961 participants from the Korean National Environmental Health Survey Cycle 4 (2018โ€“2020). Using generalized linear model (GLM) analysis, we analyzed the association of 72 variables with 3 liver function indices (aspartate aminotransferase [AST], alanine aminotransferase [ALT], and gamma glutamyl transferase [GGT]). Finally, we visualized our results with Manhattan plot.

Results

In GLM analysis, perfluorooctanesulfonate were positively associated with ALT (odds ratio [OR]: 2.2; 95% confidence interval [CI]: 1.39โ€“3.46; p adjusted = 0.0147) and perfluorodecanoic acid showed positive association with GGT (OR: 2.73; 95% CI: 1.36โ€“5.5; p adjusted = 0.0256). Plasma mercury showed positive association with GGT (OR: 1.45; 95% CI: 1.14โ€“1.84; p adjusted = 0.0315). Using a plastic container while keeping food in the refrigerator was associated with elevated GGT compared to using a glass container (OR: 1.51; 95% CI: 1.16โ€“1.95; p adjusted = 0.0153). 2-ethyl-5-oxohexyl phthalate, showed a negative trend with all 3 indices, with AST (OR: 0.54; 95% CI: 0.39โ€“0.73; p adjusted = 0.00357), ALT (OR: 0.5; 95% CI: 0.34โ€“0.75; p adjusted = 0.036), GGT (OR: 0.55; 95% CI: 0.4โ€“0.76; p adjusted = 0.00697). Bisphenol S and frequent use of sunblock cream showed negative association with ALT (OR: 0.77; 95% CI: 0.66โ€“0.89), and GGT (OR: 0.25; 95% CI: 0.11โ€“0.55), respectively.

Conclusions

We conducted an exploratory study on environmental exposure and human liver function. By using EWAS methodology, we identified 7 factors that could have potential association with liver function.


Citations

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  • Exposome-wide association study of cognitive function in US older adults using the NHANES data
    Hyuna Jang, Jiyun Lee, Vy Kim Nguyen, Hyeong-Moo Shin
    Exposome.2025;[Epub]     CrossRef
  • Liver Toxicity Induced by Exposure to Bisphenol Analogs at Environmentally Relevant Levels: Insights from a Literature Review on Multiple Species
    Tai L. Guo, Fatma Eldefrawy, Kevin M. Guo
    Livers.2025; 5(2): 24.     CrossRef
  • Sex Differences in the Association Between the Korean Healthy Eating Index and Liver Enzymes Among Korean Adults
    Seong-Uk Baek, Jin-Ha Yoon
    Nutrients.2025; 17(14): 2372.     CrossRef
  • Association Between Heavy Metals Exposure and Elevated High-Sensitivity C-Reactive Protein: Mediating Role of Body Mass Index
    Seong-Uk Baek, Jin-Ha Yoon
    Biomolecules.2025; 15(11): 1491.     CrossRef
  • Metals exposure and biomarkers of liver damage: a systematic review and meta-analysis of observational studies
    Ibrahim Issah, Serwaa A. Bawua, John Arko-Mensah, Mabel S. Duah, Shirley V. Simpson, Thomas P. Agyekum, Olalekan A. Uthman, Julius N. Fobil
    Reviews on Environmental Health.2025;[Epub]     CrossRef
  • Association between gut microbiota composition and liver dysfunction in school-aged children exposed to triclosan
    Aijing Li, Menglong Li, Wang Xu, Yanhui Zhang, Shulan Yin, Yating Yu, Shufa Zheng, Yifei Hu, Maoyong Song
    Journal of Environmental Sciences.2025;[Epub]     CrossRef
  • 2,471 View
  • 14 Download
  • 4 Web of Science
  • 6 Crossref
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Original Article
The risk of insomnia by work schedule instability in Korean firefighters
Saebomi Jeong, Jeonghun Kim, Sung-Soo Oh, Hee-Tae Kang, Yeon-Soon Ahn, Kyoung Sook Jeong
Ann Occup Environ Med 2024;36:e24.   Published online September 10, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e24
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background
Firefighters are exposed to shift work, as well as unpredictable emergency calls and traumatic events, which can lead to sleep problems. This study aimed to investigate the risk of insomnia by work schedule instability in Korean firefighters.
Methods
This study used the Insomnia Severity Index to assess the insomnia in firefighters. The work schedule stability was classified with the frequency of the substitute work and the timing of notification for work schedule changes. Logistic regression analysis was used to assess the adjusted odds ratio of insomnia by work schedule stability with covariates including sex, age, education, smoking, alcohol, caffeine intake, shift type, job, and underlying conditions.
Results
Of the 8,587 individuals, 751 (8.75%) had moderate to severe insomnia (Insomnia Severity Index โ‰ฅ 15). The prevalence of insomnia was statistically significantly higher as the frequency of substitute work increased: <1 time per month (6.8%), 1โ€“2 times (9.5%), 3โ€“5 times (13.4%), and more than 5 times (15.7%) (p < 0.001). Additionally, the prevalence of insomnia was statistically significantly higher when the timing of the schedule change notification was urgent or irregular: no change or several weeks before (5.4%), several days before (7.9%), one day before or on the day (11.2%), irregularly notification (11.6%) (p < 0.001). In comparison to the group with good frequency of the substitute work/good timing of schedule change notification group, the adjusted odds ratios of insomnia were 1.480 (95% confidence interval [CI]: 1.237โ€“1.771) for Good/Bad group, 1.862 (95% CI: 1.340โ€“2.588) for Bad/Good group, and 1.885 (95% CI: 1.366โ€“2.602) for Bad/Bad group.
Conclusions
Work schedule instability was important risk factor of insomnia in firefighters. It suggests that improving the stability of work schedules could be a key strategy for reducing sleep problems in this occupational group.
ํ•œ๊ตญ ๊ต๋Œ€๊ทผ๋ฌด ์†Œ๋ฐฉ๊ด€์—์„œ ๊ทผ๋ฌด ์Šค์ผ€์ค„ ๋ถˆ์•ˆ์ •์„ฑ์— ๋”ฐ๋ฅธ ๋ถˆ๋ฉด์ฆ ์œ ๋ณ‘ ์œ„ํ—˜
๋ชฉ์ 
ํ•œ๊ตญ ๊ต๋Œ€๊ทผ๋ฌด ์†Œ๋ฐฉ๊ด€์—์„œ ๊ทผ๋ฌด ์Šค์ผ€์ค„ ๋ถˆ์•ˆ์ •์„ฑ์ด ๋ถˆ๋ฉด์ฆ ์œ ๋ณ‘ ์œ„ํ—˜์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
ํ•œ๊ตญํŒ ๋ถˆ๋ฉด์ฆ ์‹ฌ๊ฐ๋„ ํ‰๊ฐ€์ฒ™๋„๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ถˆ๋ฉด์ฆ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ทผ๋ฌด ์Šค์ผ€์ค„ ์•ˆ์ •์„ฑ์œผ๋กœ๋Š” ์›”๋ณ„ ๋Œ€์ฒด ๊ทผ๋ฌด ํšŸ์ˆ˜ ๋ฐ ๊ทผ๋ฌด์ผ์ • ๋ณ€๊ฒฝ ํ†ต๋ณด ์‹œ์ ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. ์›”๋ณ„ ๋Œ€์ฒด ๊ทผ๋ฌด ํšŸ์ˆ˜ ๋ฐ ๊ทผ๋ฌด์ผ์ • ๋ณ€๊ฒฝ ํ†ต๋ณด ์‹œ์ ์„ ๊ฐ๊ฐ ์ข‹์Œ, ๋‚˜์จ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜๊ณ , ๋‘ ์š”์ธ์„ ์กฐํ•ฉํ•˜์—ฌ ์ข‹์Œ/์ข‹์Œ, ์ข‹์Œ/๋‚˜์จ, ๋‚˜์จ/์ข‹์Œ, ๋‚˜์จ/๋‚˜์จ์˜ 4๊ฐœ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆ„์—ˆ๋‹ค. ํ†ต๊ณ„๋ถ„์„์€ ์นด์ด์ œ๊ณฑ๊ฒ€์ •, t-๊ฒ€์ •, ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
8,587๋ช… ์ค‘ 751๋ช…(8.75%)์€ ์ค‘๋“ฑ๋„ ์ด์ƒ์˜ ๋ถˆ๋ฉด์ฆ์ด ์žˆ์—ˆ๋‹ค. ๋ณ„ ๋Œ€์ฒด๊ทผ๋ฌด ์ผ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก, ๊ทผ๋ฌด ์ผ์ • ๋ณ€ํ™”๋ฅผ ๋ฏธ๋ฆฌ ๊ณ ์ง€ํ•˜์ง€ ์•Š์„์ˆ˜๋ก ๋ถˆ๋ฉด์ฆ ์œ ๋ณ‘๋ฅ ์ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. 4๊ฐœ์˜ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆ„์–ด ๊ทผ๋ฌด ์˜ˆ์ธก ๊ฐ€๋Šฅ์„ฑ๊ณผ ๋ถˆ๋ฉด์ฆ์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋Œ€์ฒด ๊ทผ๋ฌด ๋นˆ๋„๊ฐ€ โ€œ์ข‹์Œโ€๊ทธ๋ฃน/๊ทผ๋ฌด์ผ์ • ๋ณ€๊ฒฝ ํ†ต๋ณด ์‹œ์ ์ด โ€œ์ข‹์Œโ€ ๊ทธ๋ฃน๊ณผ ๋น„๊ตํ•˜์—ฌ ๋ถˆ๋ฉด์ฆ์˜ ๋ณด์ • ๋น„์ฐจ๋น„๋Š” โ€œ์ข‹์Œ/๋‚˜์จโ€ ๊ทธ๋ฃน์€ 1.480(95%์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.237~1.771), โ€œ๋‚˜์จ/์ข‹์Œโ€ ๊ทธ๋ฃน์€ 1.862(95% CI: 1.340~2.588), โ€œ๋‚˜์จ/๋‚˜์จโ€๊ทธ๋ฃน์€ 1.885(95% CI: 1.366~2.602)์˜€๋‹ค.
๊ฒฐ๋ก 
๊ทผ๋ฌด ์Šค์ผ€์ค„ ์•ˆ์ •์„ฑ์ด ์ข‹์ง€ ๋ชปํ• ์ˆ˜๋ก ๋ถˆ๋ฉด์ฆ์˜ ์œ„ํ—˜์„ฑ์ด ๋†’์•˜๋‹ค.

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  • Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective
    Bin Liu, Mingxuan Zou, Lin Liu, Zhongying Wu, Yinchuan Jin, Yuting Feng, Qiannan Jia, Mengze Li, Lei Ren, Qun Yang
    Nature and Science of Sleep.2025; Volume 17: 1143.     CrossRef
  • Environmental noise exposure and a new biomarker of Alzheimer's disease: A pilot study
    Jonghun Lee, Cheol-Woon Kim, Youjin Kim, Seunghyun Lee, Joon Yul Choi, Wanhyung Lee
    Journal of Alzheimerโ€™s Disease.2025;[Epub]     CrossRef
  • 3,873 View
  • 229 Download
  • 3 Web of Science
  • 2 Crossref
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Original Article
Relationship between the use of hair products and urine benzophenone-3: the Korean National Environmental Health Survey (KoNEHS) cycle 4
Siyoung Kim, Seong-yong Cho, Seongyong Yoon, Daehwan Kim, Hyun Woo Park, Jisoo Kang, Sung Woo Huh
Ann Occup Environ Med 2024;36:e20.   Published online August 6, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e20
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Benzophenone-3 is a type of ketone with 2 benzene rings attached to a carbonyl group (C=O) and one benzene ring attached to a hydroxyl group (-OH). As an endocrine-disrupting chemical, benzophenone-3 is known to be associated with reproductive, developmental, thyroid, and endocrine toxicities. Benzophenone-3 is commonly used in hair products, cosmetics, and ultraviolet (UV) filters because of its characteristic property to absorb UV light. This study aims to investigate the association between the use of hair products and urine benzophenone-3 using the data from the Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018โ€“2020), which represents the Korean population.

Methods

Using the KoNEHS cycle 4 survey, the data of 3,796 adults aged โ‰ฅ 19 years were analyzed. Based on the 75th percentile concentration of urine benzophenone-3, the participants were divided into the low- and high-concentration groups. Chi-square test was conducted to analyze the association of urine benzophenone-3 with distribution of general characteristics, use of personal care products, consumption of marine foods, and use of plastic products as the variable. Logistic regression analysis was conducted to calculate odds ratios (ORs) for the high-concentration group of urine benzophenone-3 based on the use of hair products.

Results

Women with < 6 times or โ‰ฅ 6 times of hair product usage had significantly higher adjusted ORs compared to those who did not use hair products. The calculated ORs were 1.24 (95% confidence interval [CI]: 1.12โ€“1.38) for women with < 6 times of usage and 1.54 (95% CI: 1.33โ€“1.79) for women with โ‰ฅ 6 times of usage.

Conclusions

This study revealed the association between the use of hair products and the concentration of urine benzophenone-3 in the general Korean population.

์ œ4๊ธฐ (2018-2020) ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ๋ฅผ ์ด์šฉํ•œ ํ—ค์–ด์ œํ’ˆ์‚ฌ์šฉ๊ณผ ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ-3(benzophenone-3)๊ณผ์˜ ๊ด€๊ณ„
๋ชฉ์ 
๋ฒค์กฐํŽ˜๋…ผ-3์€ 2๊ฐœ์˜ ๋ฒค์  ๊ณ ๋ฆฌ๊ฐ€ ์นด๋ฅด๋ณด๋‹๊ธฐ(C=O)์— ๊ฒฐํ•ฉ๋œ ์ผ€ํ†ค ํ˜•ํƒœ๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ์œผ๋ฉฐ, ํ•œ๊ฐœ์˜ ๋ฒค์  ๊ณ ๋ฆฌ์— ํžˆ๋“œ๋ก์‹œ๊ธฐ(-OH)๊ฐ€ ๊ฒฐํ•ฉ๋œ ํ˜•ํƒœ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๋ฒค์กฐํŽ˜๋…ผ-3์€ ๋‚ด๋ถ„๋น„๊ณ„๊ต๋ž€ํ™”ํ•ฉ๋ฌผ(Endocrine disrupting chemical)๋กœ์„œ ์ƒ์‹๋…์„ฑ, ๋ฐœ๋‹ฌ๋…์„ฑ, ๊ฐ‘์ƒ์„  ๋ฐ ๋‚ด๋ถ„๋น„๊ณ„ ๋…์„ฑ ๋“ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๋ฒค์กฐํŽ˜๋…ผ-3์€ ์ž์™ธ์„ ์„ ํก์ˆ˜ํ•˜๋Š” ํŠน์„ฑ์ด ์žˆ์–ด, ํ—ค์–ด์ œํ’ˆ(hair product), ํ™”์žฅํ’ˆ, ์ž์™ธ์„ ์ฐจ๋‹จ์ œ ๋“ฑ์— ์‚ฌ์šฉ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋Œ€ํ•œ๋ฏผ๊ตญ ์ธ๊ตฌ์ง‘๋‹จ๋ฅผ ๋Œ€ํ‘œํ•˜๋Š” ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด๊ธฐ์ดˆ์กฐ์‚ฌ(KoNEHS) 4์ฃผ๊ธฐ(2018-2020)์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ํ—ค์–ด์ œํ’ˆ ์‚ฌ์šฉ๊ณผ ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ-3๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•˜๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
KoNEHS 4์ฃผ๊ธฐ์˜ ๋ฐ์ดํ„ฐ์—์„œ 19์„ธ ์ด์ƒ ์„ฑ์ธ 3,796๋ช…์˜ ์ฐธ๊ฐ€์ž๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ-์˜ 75๋ฒˆ์งธ ๋ฐฑ๋ถ„์œ„ ์ˆ˜ ๋†๋„๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์ €๋†๋„๊ตฐ๊ณผ ๊ณ ๋†๋„๊ตฐ์œผ๋กœ ๋‚˜๋ˆ„์—ˆ๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ- 3๋†๋„์™€ ์ผ๋ฐ˜์  ํŠน์„ฑ, ๊ฐœ์ธ ๋ฐ ์œ„์ƒ์šฉํ’ˆ์‚ฌ์šฉ, ํ•ด์–‘์ƒ๋ฌผ ์„ญ์ทจ, ํ”Œ๋ผ์Šคํ‹ฑ์šฉํ’ˆ์‚ฌ์šฉ ๊ฐ„์˜ ๋ถ„ํฌ ๋ฐ ํ‰๊ท ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋…๋ฆฝ t-๊ฒ€์ •๊ณผ ฯ‡2 ํ…Œ์ŠคํŠธ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ํ—ค์–ด์ œํ’ˆ์— ๋Œ€ํ•œ ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ-3 ๋Œ€ํ•œ ์Šน์‚ฐ๋น„(ORs)๋Š” ์ผ๋ฐ˜์  ํŠน์„ฑ, ๊ฐœ์ธ ๋ฐ ์œ„์ƒ์šฉํ’ˆ์‚ฌ์šฉ, ํ•ด์–‘์ƒ๋ฌผ ์„ญ์ทจ, ๊ทธ๋ฆฌ๊ณ  ํ”Œ๋ผ์Šคํ‹ฑ์šฉํ’ˆ ์‚ฌ์šฉ์„ ๋ณด์ •ํ•œ ํ›„ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฌ์„ฑ์—์„œ ํ—ค์–ด์ œํ’ˆ โ€˜์ฃผ 6ํšŒ ๋ฏธ๋งŒ ์‚ฌ์šฉ๊ตฐโ€™๊ณผ โ€˜์ฃผ 6ํšŒ ์ด์ƒ ์‚ฌ์šฉ๊ตฐโ€™์€ โ€˜์‚ฌ์šฉ์•ˆํ•จ๊ตฐโ€™์— ๋น„ํ•ด ์š”์ค‘ ๋ฒค์กฐํŽ˜๋…ผ-3 ๊ณ ๋†๋„๊ตฐ์— ์†ํ•  OR ๊ฐ’์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๊ณ„์‚ฐ๋œ OR๊ฐ’์€ โ€˜์ฃผ 6ํšŒ ๋ฏธ๋งŒ ์‚ฌ์šฉ๊ตฐโ€™ 1.24(95% CI: 1.12-1.38), โ€˜์ฃผ 6ํšŒ ์ด์ƒ ์‚ฌ์šฉ๊ตฐโ€™ 1.54 (95% CI: 1.33-1.79)์ด์—ˆ๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด์„œ ํ—ค์–ด์ œํ’ˆ ์‚ฌ์šฉ๊ณผ ์š”์ค‘ ๋ฒค์ฃ ํŽ˜๋…ผ-3๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.

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  • Environmental disease monitoring by regional Environmental Health Centers in Korea: a narrative review
    Myung-Sook Park, Hwan-Cheol Kim, Woo Jin Kim, Yun-Chul Hong, Won-Jun Choi, Seock-Yeon Hwang, Jiho Lee, Young-Seoub Hong, Yong-Dae Kim, Seong-Chul Hong, Joo Hyun Sung, Inchul Jeong, Kwan Lee, Won-Ju Park, Hyun-Joo Bae, Seong-Yong Yoon, Cheolmin Lee, Kyoung
    The Ewha Medical Journal.2025;[Epub]     CrossRef
  • Association between exposure to VOCs mixture and impaired renal function in Korean adults
    Seong-Uk Baek, Jin-Ha Yoon
    American Journal of Epidemiology.2025;[Epub]     CrossRef
  • The Exposure Status of Environmental Chemicals in South Korea: The Korean National Environmental Health Survey 2018โ€“2020
    Sooyeon Hong, Ok-Jin Kim, Sun Kyoung Jung, Hye Li Jeon, Suejin Kim, Jihyon Kil
    Toxics.2024; 12(11): 829.     CrossRef
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Original Article
Rotating shift and BMI increase among healthcare workers in a military hospital: pre- and post-pandemic analysis in Taiwan
Zong-Ming Chen, Ro-Ting Lin
Ann Occup Environ Med 2024;36:e15.   Published online June 21, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e15
AbstractAbstract PDF
Background

The increasing prevalence of high body mass index (BMI) emphasizes the need for action. Understanding of BMI factors among military hospital healthcare workers remains limited. This study aims to address this gap by analyzing BMI risk factors and changes pre- and post-coronavirus 2019 pandemic among military hospital healthcare workers in central Taiwan from 2019 to 2021.

Methods

Conducted at a military hospital in central Taiwan, this study analyzed anonymized health examination data from 2019 to 2021 for 483 healthcare workers. We performed generalized estimating equations to investigate trends in BMI and its association with various factors, including age, sex, job titles, military status, job tenure, work shifts, and lifestyle habits.

Results

The risk of increased BMI was higher in 2021 compared to 2019 (risk ratio [RR]: 1.008, 95% confidence interval [CI]: 1.001โ€“1.014). Individuals on rotating shifts had a higher risk of increased BMI compared to day shift workers (RR: 1.021; 95% CI: 1.008โ€“1.035) and higher odds of obesity (odds ratio: 1.546; 95% CI: 1.099โ€“2.175). Among obese individuals, BMI in soldiers was approximately 4.9% lower than in non-soldiers (RR: 0.951; 95% CI: 0.915โ€“0.988).

Conclusions

This study identified a significant post-pandemic increase in BMI among healthcare workers in a Taiwanese military hospital, with rotating shifts being a key risk factor for both increased BMI and obesity. Work-related factors influenced BMI changes among obese individuals, while non-work-related factors were significant for non-obese individuals. These findings highlight the broader effects of the pandemic and the specific impact of work-related factors on obese healthcare workers.


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  • Association of whole-body and regional body fat mass indexes with depressive symptoms and suicidal behaviors in Korean adults: The moderating role of age
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Affective Disorders.2025; 385: 119362.     CrossRef
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Original Article
Differences of nutritional intake habits and Dietary Inflammatory Index score between occupational classifications in the Korean working population
Seung Hee Woo, Yangwoo Kim, Kyungho Ju, Juhyeong Kim, Jaechul Song, Soo-Jin Lee, Jeehee Min
Ann Occup Environ Med 2024;36:e5.   Published online March 18, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e5
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Human nutrient intake is closely related to the conditions of their workplace.

Methods

This study used data from the Korean National Health and Nutritional Examination Survey (KNHANES) conducted between 2016 and 2020. The study population comprised individuals aged 19 to 65 years who were engaged in paid work, excluding soldiers (total = 12,201, male = 5,872, female = 6,329). The primary outcome of interest was the Dietary Inflammatory Index (DII) score, which was calculated using dietary intake data. Generalized linear models were used for statistical analyses.

Results

Pink-collar workers had higher DII scores, indicating a potentially higher inflammatory diet than white-collar workers (mean: 2.18 vs. 1.89, p < 0.001). Green and blue-collar workers displayed lower levels of dietary inflammation (green: 1.64 vs. 1.89, p = 0.019, blue: 1.79 vs. 1.89, p = 0.022). After adjusting for sex, age, income, education, and energy intake, the sole trend that persisted was the comparison between white-collar and pink-collar workers.

Conclusions

DII scores and dietary patterns differed among occupational groups and genders.

ํ•œ๊ตญ ์ง์žฅ ์ธ๊ตฌ์˜ ์ง์—… ๋ถ„๋ฅ˜๋ณ„ ์˜์–‘ ์„ญ์ทจ ์Šต๊ด€๊ณผ ์‹์ด ์—ผ์ฆ ์ง€์ˆ˜ ์ฐจ์ด
๋ชฉ์ 
์ง์žฅ์ธ์˜ ์˜์–‘ ์„ญ์ทจ๋Š” ๊ทธ๋“ค์˜ ์ง์žฅ ํ™˜๊ฒฝ๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” 2016๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์‹ค์‹œ๋œ ๋Œ€ํ•œ๋ฏผ๊ตญ ๊ตญ๋ฆฝ๊ฑด๊ฐ•์˜์–‘์กฐ์‚ฌ(KNHANES) ์ž๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์€ 19์„ธ์—์„œ 65์„ธ๊นŒ์ง€์˜ ์ง์žฅ์ธ์œผ๋กœ, ๊ตฐ์ธ์€ ์ œ์™ธ๋˜์—ˆ๋‹ค.(์ „์ฒด = 12,201๋ช…, ๋‚จ์„ฑ = 5,872๋ช…, ์—ฌ์„ฑ = 6,329๋ช…) ์ฃผ์š” ๊ด€์‹ฌ ๋Œ€์ƒ์€ ์‹์ด ์—ผ์ฆ ์ง€์ˆ˜(DII)๋กœ, ์‹ํ’ˆ ์„ญ์ทจ ์ •๋ณด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ํ†ต๊ณ„ ๋ถ„์„์—๋Š” ์ผ๋ฐ˜ํ™”๋œ ์„ ํ˜• ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
ํ•‘ํฌ ์นผ๋ผ ์ง์ข… ๊ทผ๋กœ์ž๋“ค์€ DII ์ ์ˆ˜๊ฐ€ ๋” ๋†’์•˜์œผ๋ฉฐ, ์ด๋Š” ํ™”์ดํŠธ ์นผ๋ผ ์ง์ข… ๊ทผ๋กœ์ž๋“ค๋ณด๋‹ค ์ž ์žฌ์ ์œผ๋กœ ์—ผ์ฆ์„ฑ ์‹์Šต๊ด€์ด ๋†’์„ ์ˆ˜ ์žˆ์Œ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค.(ํ‰๊ท : 2.18 ๋Œ€ 1.89, p < 0.001) ๊ทธ๋ฆฐ๊ณผ ๋ธ”๋ฃจ ์นผ๋ผ ์ง์ข… ๊ทผ๋กœ์ž๋“ค์€ DII ์ ์ˆ˜๊ฐ€ ๋‚ฎ์•˜๋‹ค.(๊ทธ๋ฆฐ: 1.64 ๋Œ€ 1.89, p = 0.019, ๋ธ”๋ฃจ: 1.79 ๋Œ€ 1.89, p = 0.022) ํ•‘ํฌ ์นผ๋ผ์™€ ํ™”์ดํŠธ ์นผ๋ผ ์ง์ข… ๊ทผ๋กœ์ž์—์„œ DII ์ ์ˆ˜์˜ ์ฐจ์ด๋Š” ์„ฑ๋ณ„, ์—ฐ๋ น, ์†Œ๋“, ๊ต์œก ๋ฐ ์—๋„ˆ์ง€ ์„ญ์ทจ๋Ÿ‰์— ๋Œ€ํ•œ ๋ณด์ • ํ›„์—๋„ ์ง€์†๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
DII ์ ์ˆ˜์™€ ์‹์Šต๊ด€์€ ์ง์—…๊ตฐ๊ณผ ์„ฑ๋ณ„์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

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  • Sex Differences in the Association Between the Korean Healthy Eating Index and Liver Enzymes Among Korean Adults
    Seong-Uk Baek, Jin-Ha Yoon
    Nutrients.2025; 17(14): 2372.     CrossRef
  • Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013โ€“2021
    Seong-Uk Baek, Myeong-Hun Lim, Yu-Min Lee, Jong-Uk Won, Jin-Ha Yoon
    Nutrients.2024; 16(10): 1482.     CrossRef
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Original Article
Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device
Jae-young Park, Jung Hwan Lee, Mo-Yeol Kang, Tae-Won Jang, Hyoung-Ryoul Kim, Se-Yeong Kim, Jongin Lee
Ann Occup Environ Med 2023;35:e24.   Published online July 19, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e24
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

The construction workers are vulnerable to fatigue due to high physical workload. This study aimed to investigate the relationship between overwork and heart rate in construction workers and propose a scheme to prevent overwork in advance.

Methods

We measured the heart rates of construction workers at a construction site of a residential and commercial complex in Seoul from August to October 2021 and develop an index that monitors overwork in real-time. A total of 66 Korean workers participated in the study, wearing real-time heart rate monitoring equipment. The relative heart rate (RHR) was calculated using the minimum and maximum heart rates, and the maximum acceptable working time (MAWT) was estimated using RHR to calculate the workload. The overwork index (OI) was defined as the cumulative workload evaluated with the MAWT. An appropriate scenario line (PSL) was set as an index that can be compared to the OI to evaluate the degree of overwork in real-time. The excess overwork index (EOI) was evaluated in real-time during work performance using the difference between the OI and the PSL. The EOI value was used to perform receiver operating characteristic (ROC) curve analysis to find the optimal cut-off value for classification of overwork state.

Results

Of the 60 participants analyzed, 28 (46.7%) were classified as the overwork group based on their RHR. ROC curve analysis showed that the EOI was a good predictor of overwork, with an area under the curve of 0.824. The optimal cut-off values ranged from 21.8% to 24.0% depending on the method used to determine the cut-off point.

Conclusion

The EOI showed promising results as a predictive tool to assess overwork in real-time using heart rate monitoring and calculation through MAWT. Further research is needed to assess physical workload accurately and determine cut-off values across industries.

์‹ค์‹œ๊ฐ„ ์‹ฌ๋ฐ•์ˆ˜ ์ธก์ • ์žฅ์น˜๋ฅผ ์ด์šฉํ•œ ๊ฑด์„ค์—… ๊ทผ๋กœ์ž ๊ณผ๋กœ ์˜ˆ์ธก ์•Œ๊ณ ๋ฆฌ์ฆ˜
๋ชฉ์ 
๊ฑด์„ค์—… ๊ทผ๋กœ์ž๋Š” ์œก์ฒด์  ์—…๋ฌด๊ฐ•๋„๊ฐ€ ๋†’์•„ ์ด์— ๋”ฐ๋ฅธ ํ”ผ๋กœ์™€ ๊ทธ์— ๋”ฐ๋ฅธ ์‚ฌ๊ณ  ๋ฐ ๊ฑด๊ฐ• ์•…์˜ํ–ฅ ์šฐ๋ ค๊ฐ€ ๋†’๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ผ๊ฐœ ์‚ฌ์—…์žฅ ๊ฑด์„ค์—… ๊ทผ๋กœ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๊ณผ๋กœ์™€ ์‹ฌ๋ฐ•์ˆ˜ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ  ์‹ค์‹œ๊ฐ„ ์‹ฌ๋ฐ•์ˆ˜ ๋ชจ๋‹ˆํ„ฐ๋ง์„ ์ด์šฉํ•˜์—ฌ ๊ณผ๋กœ๋ฅผ ๋ฐฉ์ง€ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์„œ์šธ์˜ ์ผ๊ฐœ ๊ฑด์„ค์—… ํ˜„์žฅ์—์„œ ๊ทผ๋ฌดํ•˜๋Š” ๊ทผ๋กœ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ 2021.08.-2021.10.๊นŒ์ง€ ๊ทผ๋ฌด ์ค‘ ์‹ฌ๋ฐ•์ˆ˜๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ์ด 66๋ช…์˜ ํ•œ๊ตญ์ธ ๊ทผ๋กœ์ž๊ฐ€ ์†๋ชฉ์‹œ๊ณ„ ํ˜• ์žฅ์น˜๋ฅผ ์ด์šฉํ•˜์—ฌ ์‹ฌ๋ฐ•์ˆ˜ ์ธก์ •์— ์ฐธ์—ฌํ•˜์˜€๋‹ค. ์•ˆ์ •์‹œ ์‹ฌ๋ฐ•์ˆ˜์™€ ์ตœ๋Œ€ ์‹ฌ๋ฐ•์ˆ˜ ์ถ”์ •์น˜๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ƒ๋Œ€์‹ฌ๋ฐ•์ˆ˜(RHR)๋ฅผ ์‚ฐ์ถœํ•˜์˜€๊ณ , ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ”ผ๋กœ ์—†์ด ๊ทผ๋ฌดํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ๋Œ€์‹œ๊ฐ„(MAWT)๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์—…๋ฌด ๋ถ€๋‹ด(workload)๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‚ฐ์ถœํ•œ ๋ˆ„์  ์—…๋ฌด๋Ÿ‰์œผ๋กœ ๊ณผ๋กœ ์ง€์ˆ˜(Overwork index)๋ฅผ ์‚ฐ์ถœํ•œ ํ›„ ์ ์ • ์—…๋ฌด ๋ถ€๋‹ด(PSL)๊ณผ์˜ ์ฐจ์ด์ธ ์ดˆ๊ณผ ๊ณผ๋กœ ์ง€์ˆ˜(Excess overwork index)๋ฅผ ์ •์˜ํ•˜์˜€๋‹ค. EOI ๊ฐ’์„ ์ด์šฉํ•ด ์ผํ‰๊ท  ์ƒ๋Œ€์‹ฌ๋ฐ•์ˆ˜ 30%๊ฐ’์„ ๊ธฐ์ค€์œผ๋กœ ์ •์˜ํ•œ ๊ณผ๋กœ๊ตฐ-๋น„๊ณผ๋กœ๊ตฐ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ์ตœ์  ์ ˆ๋‹จ๊ฐ’์„ ROC ๋ถ„์„์„ ํ†ตํ•ด ์‚ฐ์ถœํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๊ทผ๋กœ์ž 60๋ช…์˜ ์‹ฌ๋ฐ•์ˆ˜ ์ธก์ •๊ฐ’์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ 28(46.7%)๊ฐ€ ์ผํ‰๊ท  ์ƒ๋Œ€์‹ฌ๋ฐ•์ˆ˜๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๊ณผ๋กœ๊ตฐ์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ROC ๋ถ„์„ ๊ฒฐ๊ณผ EOI๊ฐ’์ด ๊ณผ๋กœ๋ฅผ ์˜ˆ์ธกํ•˜๋Š”๋ฐ ์œ ์šฉํ•จ์„ ํ™•์ธํ•˜์˜€๊ณ  AUC๊ฐ’์€ 0.824์˜€๋‹ค. ์ตœ์  ์ ˆ๋‹จ ๊ฐ’์€ ์ตœ์ ํ™” ๋ฐฉ๋ฒ•์— ๋”ฐ๋ผ 21.8%์—์„œ 24.0%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
์‹ค์‹œ๊ฐ„ ์‹ฌ๋ฐ•์ˆ˜ ๋ชจ๋‹ˆํ„ฐ๋ง๊ณผ MAWT๋ฅผ ์ด์šฉํ•ด ์‚ฐ์ถœํ•œ EOI๊ฐ’์€ ๊ณผ๋กœ๋ฅผ ์˜ˆ์ธกํ•˜๋Š”๋ฐ ์œ ์šฉํ•œ ์ง€ํ‘œ์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋‹จ, ๊ฑด์„ค์—…์„ ๋น„๋กฏํ•˜์—ฌ ๋‹ค๋ฅธ ์œก์ฒด์  ๋ถ€๋‹ด์ด ํฐ ์—…์ข…์—์„œ ์ตœ์  ์ ˆ๋‹จ๊ฐ’์„ ์ฐพ๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ถ”๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค.

Citations

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  • Development of productivity model of continuous miner operators working in hazardous underground mine environmental conditions
    Siddhartha Roy, Devi Prasad Mishra, Hemant Agrawal, Ram Madhab Bhattacharjee
    Measurement.2025; 239: 115516.     CrossRef
  • Investigated Predictors of Construction Workersโ€™ Ongoing Fatigue: Random Forest Approach
    Soyeon Park, Byungdo Cheon, Hayoung Kim, Heejung Kim
    Journal of Management in Engineering.2025;[Epub]     CrossRef
  • Impact of Resilience Engineering on Physical Symptoms of Construction Workers
    Zhen Hu, Heng Zhong, Siyuan Li, Siyi Li, Yuzhong Shen, Changquan He, Zhizhou Xu
    Buildings.2024; 14(12): 4056.     CrossRef
  • 2,878 View
  • 43 Download
  • 3 Web of Science
  • 3 Crossref
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Case Report
Occupational asthma related to indoor air pollution in a worker at an indoor air gun shooting range: a case report
Kwang Min Lee, Seungho Lee, Yoon-Ji Kim, Seung-eun Lee, Youngki Kim, Dongmug Kang, Se-Yeong Kim
Ann Occup Environ Med 2023;35:e13.   Published online June 19, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e13
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Indoor air pollution can cause and exacerbate asthma. We report a previously undescribed case of occupational asthma related to indoor air pollution in a worker at an indoor air gun shooting range and highlight the potential risk of developing occupational asthma in this environment.

Case presentation

A 31-year-old man presented with dyspnea, cough, and sputum and was diagnosed with asthma complicated by pneumonia. Objective evidence of asthma was obtained by performing a methacholine bronchial provocation test. It was suspected that the patient had occupational asthma, which began one month after changing jobs to work within the indoor air gun shooting range. The highest peak expiratory flow (PEF) diurnal variability on working days was 15%, but the highest variation was 24%, with 4 days out of 4 weeks having a variation of over 20% related to workplace exposure. Conversely, the diurnal variability on the rest days was 7%, and no day showed a variation exceeding 20%. The difference in the average PEF between working and rest days was 52 L/min. PEF deterioration during working days and improvement on rest days were noted.

Conclusions

The results obtained from the in-depth analysis of the PEF were adequate to diagnose the patient with occupational asthma. Exposure to indoor air pollution and lead and the patientโ€™s atopy and allergic rhinitis may have contributed to the development of occupational asthma.

์‹ค๋‚ด ๊ณต๊ธฐ์ด ์‚ฌ๊ฒฉ์žฅ ๊ทผ๋กœ์ž์˜ ์‹ค๋‚ด๊ณต๊ธฐ์˜ค์—ผ๊ด€๋ จ ์ง์—…์„ฑ ์ฒœ์‹ ์ฆ๋ก€๋ณด๊ณ 
a๋ฐฐ๊ฒฝ: ์‹ค๋‚ด๊ณต๊ธฐ์˜ค์—ผ์€ ์ฒœ์‹์„ ์œ ๋ฐœํ•˜๊ณ  ์•…ํ™”์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์‹ค๋‚ด ๊ณต๊ธฐ์ด ์‚ฌ๊ฒฉ์žฅ์—์„œ ์ผํ•˜๋Š” ๊ทผ๋กœ์ž์˜ ์‹ค๋‚ด ๊ณต๊ธฐ ์˜ค์—ผ๊ณผ ๊ด€๋ จ๋œ ์ด์ „์— ๊ธฐ์ˆ ๋˜์ง€ ์•Š์€ ์ง์—…์„ฑ ์ฒœ์‹ ์‚ฌ๋ก€๋ฅผ ๋ณด๊ณ ํ•˜๊ณ , ์ด๋Ÿฌํ•œ ํ™˜๊ฒฝ์—์„œ ์ง์—…์„ฑ ์ฒœ์‹ ๋ฐœ๋ณ‘์˜ ์ž ์žฌ์  ์œ„ํ—˜์„ ๊ฐ•์กฐํ•œ๋‹ค.
์ฆ๋ก€
31์„ธ ๋‚จ์ž๊ฐ€ ํ˜ธํก๊ณค๋ž€, ๊ธฐ์นจ, ๊ฐ€๋ž˜ ์ฆ์ƒ์ด ๋‚˜ํƒ€๋‚˜ ๋‚ด์›ํ•˜์˜€๊ณ , ํ๋ ด์ด ๋™๋ฐ˜๋œ ์ฒœ์‹์œผ๋กœ ์ง„๋‹จ๋˜์—ˆ๋‹ค. ์ฒœ์‹์˜ ๊ฐ๊ด€์ ์ธ ์ฆ๊ฑฐ๋Š” ๋ฉ”ํƒ€์ฝœ๋ฆฐ ๊ธฐ๊ด€์ง€์œ ๋ฐœ๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์—ฌ ํš๋“ํ•˜์˜€๋‹ค. ํ™˜์ž๋Š” ์‹ค๋‚ด๊ณต๊ธฐ์ด ์‚ฌ๊ฒฉ์žฅ์—์„œ ๊ทผ๋ฌดํ•˜๊ธฐ ์œ„ํ•ด ์ด์งํ•œ์ง€ ํ•œ๋‹ฌ๋งŒ์— ์ง์—…์„ฑ ์ฒœ์‹์„ ์•“๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์˜์‹ฌ๋˜์—ˆ๋‹ค. ๊ทผ๋ฌด์ผ์˜ ์ตœ๊ณ ํ˜ธ๊ธฐ์œ ๋Ÿ‰(PEF) ์ฃผ๊ฐ„ ๋ณ€๋™์„ฑ์€ 15%์˜€์ง€๋งŒ, ๊ฐ€์žฅ ๋†’์€ ๋ณ€๋™์„ฑ์€ 24%์˜€์œผ๋ฉฐ, 4์ฃผ ์ค‘ 4์ผ์€ ์ž‘์—…์žฅ ๋…ธ์ถœ๊ณผ ๊ด€๋ จํ•˜์—ฌ 20% ์ด์ƒ์˜ ๋ณ€๋™์„ฑ์„ ๋ณด์˜€๋‹ค. ๋ฐ˜๋Œ€๋กœ ์‰ฌ๋Š” ๋‚ ์˜ ์ผ๊ต์ฐจ๋Š” 7%๋กœ 20%๋ฅผ ๋„˜๋Š” ๋‚ ์€ ์—†์—ˆ๋‹ค. ๊ทผ๋ฌด์ผ๊ณผ ํœด์‹์ผ ์‚ฌ์ด์˜ ํ‰๊ท  ์ตœ๊ณ ํ˜ธ๊ธฐ์œ ๋Ÿ‰(PEF) ์ฐจ์ด๋Š” 52 L/min์ด์—ˆ๋‹ค. ๊ทผ๋ฌด์ผ ๋™์•ˆ PEF ์•…ํ™” ๋ฐ ํœด์‹์ผ์˜ ๊ฐœ์„ ์ด ์ฃผ๋ชฉ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
์ตœ๊ณ ํ˜ธ๊ธฐ์œ ๋Ÿ‰(PEF)์˜ ์‹ฌ์ธต๋ถ„์„๊ฒฐ๊ณผ๋Š” ์ง์—…์„ฑ ์ฒœ์‹ ํ™˜์ž๋ฅผ ์ง„๋‹จํ•˜๊ธฐ์— ์ ํ•ฉํ•˜์˜€๋‹ค. ์‹ค๋‚ด๊ณต๊ธฐ์˜ค์—ผ๊ณผ ๋‚ฉ ๋…ธ์ถœ, ํ™˜์ž์˜ ์•„ํ† ํ”ผ์™€ ์•Œ๋ ˆ๋ฅด๊ธฐ์„ฑ ๋น„์—ผ์ด ์ง์—…์„ฑ ์ฒœ์‹ ๋ฐœ๋ณ‘์— ๊ธฐ์—ฌํ–ˆ์„ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค.

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    Pradeep Kumar, Era Upadhyay, Anoop Yadav, Krishnamurthi Kannan
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Original Article
Organic solvent exposure for the chronic kidney disease: updated systematic review with meta-analysis
Chaeseong Lim, Hyeoncheol Oh
Ann Occup Environ Med 2023;35:e11.   Published online May 17, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e11
AbstractAbstract AbstractAbstract in Korean PDF
Background

Studies on the relationship between organic solvent exposure and chronic kidney disease (CKD) have presented inconsistent results. Definition of CKD has changed in 2012, and other cohort studies have been newly published. Therefore, this study aimed to newly confirm the relationship between organic solvent exposure and CKD through an updated meta-analysis including additional studies.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The search was conducted on January 2, 2023 using Embase and MEDLINE databases. Case-control and cohort studies on the relationship between organic solvent exposure and CKD were included. Two authors independently reviewed full-text.

Results

Of 5,109 studies identified, a total of 19 studies (control studies: 14 and cohort studies: 5) were finally included in our meta-analysis. The pooled risk of CKD in the organic solvent exposed group was 2.44 (1.72โ€“3.47). The risk of a low-level exposure group was 1.07 (0.77โ€“1.49). The total risk of a high-level exposure group was 2.44 (1.19โ€“5.00). The risk of glomerulonephritis was 2.69 (1.18โ€“6.11). The risk was 1.46 (1.29โ€“1.64) for worsening of renal function. The pooled risk was 2.41 (1.57โ€“3.70) in case-control studies and 2.51 (1.34โ€“4.70) in cohort studies. The risk of subgroup classified as โ€˜goodโ€™ by the Newcastle Ottawa scale score was 1.93 (1.43โ€“2.61).

Conclusions

This study confirmed that the risk of CKD was significantly increased in workers exposed to mixed organic solvents. Further research is needed to determine the exact mechanisms and thresholds. Surveillance for kidney damage in the group exposed to high levels of organic solvents should be conducted.

Trial Registration

PROSPERO Identifier: CRD42022306521

์œ ๊ธฐ์šฉ์ œ์™€ ๋งŒ์„ฑ ์ฝฉํŒฅ๋ณ‘ ; ๊ฐฑ์‹ ๋œ ๋ฉ”ํƒ€-๋ถ„์„
๋ชฉ์ 
์œ ๊ธฐ์šฉ์ œ๋Š” ๋งŽ์€ ์‚ฐ์—…ํ˜„์žฅ์—์„œ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ๋ฌผ์งˆ๋กœ, ์‚ฐ์—…ํ˜„์žฅ ๊ทผ๋กœ์ž๋“ค์˜ ๊ฑด๊ฐ•์— ๋‚˜์œ ์˜ํ–ฅ์„ ์ดˆ๋ž˜ํ•˜๊ณ  ์žˆ๋‹ค. U.Ravnskov et al, 2000 ์—์„œ๋Š” ์œ ๊ธฐ์šฉ์ œ ๋…ธ์ถœ๊ณผ ๋งŒ์„ฑ ์‹ ๋ถ€์ „์— ๋Œ€ํ•ด ์กฐ์‚ฌํ–ˆ๋˜ ํ™˜์ž-๋Œ€์กฐ๊ตฐ ์—ฐ๊ตฌ๋“ค์„ ๋ชจ์•„ ๋ฉ”ํƒ€๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ํ•ด๋‹น ๋ฉ”ํƒ€ ๋ถ„์„์ด ๋ฐœํ‘œ๋œ ์ดํ›„ ๋งŒ์„ฑ ์‹ ๋ถ€์ „์˜ ์ •์˜๊ฐ€ ๋ณ€๊ฒฝ๋˜์—ˆ์œผ๋ฉฐ ์ƒˆ๋กœ์šด ์ฝ”ํ˜ธํŠธ ์—ฐ๊ตฌ๋“ค๋„ ์ƒˆ๋กœ ๋ฐœํ‘œ๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์กด ๋ฉ”ํƒ€ ๋ถ„์„์—์„œ ํฌํ•จ๋˜์ง€ ๋ชปํ•œ ์—ฐ๊ตฌ๋“ค์„ ์ถ”๊ฐ€๋กœ ํฌํ•จํ•˜์—ฌ ์—…๋ฐ์ดํŠธ๋œ ๋ฉ”ํƒ€ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์ฒด๊ณ„์  ๊ฒ€ํ† ๋Š” Preferred Reporting Items For Systematic Reviews and Meta-Analysis(PRISMA) guideline ์— ์˜๊ฑฐํ•˜์—ฌ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๊ฒ€์ƒ‰์€ Embase ์™€ MEDLINE ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํ™œ์šฉํ•˜์—ฌ 2021๋…„ 11์›” 9์ผ๋‚  ์‹œํ–‰๋˜์—ˆ๋‹ค. ์œ ๊ธฐ์šฉ์ œ ๋…ธ์ถœ์— ์˜ํ•œ ๋งŒ์„ฑ ์‹ ๋ถ€์ „์— ๋Œ€ํ•œ ์ด ์œ„ํ—˜๋„์™€ ๋”๋ถˆ์–ด, ์ €๋„ ๋…ธ์ถœ, ์ค‘๋“ฑ๋„ ๋…ธ์ถœ, ๊ณ ๋„ ๋…ธ์ถœ๋กœ ๊ตฌ๋ถ„๋œ ๋…ผ๋ฌธ๋“ค์„ ๋ชจ์•„ ๋…ธ์ถœ๊ฐ•๋„์— ๋”ฐ๋ฅธ ํ•˜์œ„๊ทธ๋ฃน์˜ ์œ„ํ—˜๋„ ๋˜ํ•œ ๋ถ„์„ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์œ ๊ธฐ์šฉ์ œ ๋…ธ์ถœ๊ตฐ์€ ๋น„๋…ธ์ถœ๊ตฐ์— ๋น„ํ•ด ๋งŒ์„ฑ ์‹ ๋ถ€์ „์— ๋Œ€ํ•œ ์ด ์œ„ํ—˜๋„ (pooled risk) ๋Š” 2.44(1.72-3.47) ๋กœ ๋‚˜์™”๋‹ค. ์ €๋„ ๋…ธ์ถœ์˜ ๊ฒฝ์šฐ ์œ„ํ—˜๋„ 1.07(0.77-1.49) ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ  ๊ณ ๋„ ๋…ธ์ถœ๊ตฐ์˜ ๊ฒฝ์šฐ ์ด ์œ„ํ—˜๋„ 2.44(1.19-5.00) ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฌ๊ตฌ์ฒด ์‹ ์—ผ ๋ฐœ์ƒ์˜ ๊ฒฝ์šฐ ์œ„ํ—˜๋„๊ฐ€ 2.69(1.18-6.11), ์‹ ๊ธฐ๋Šฅ ์•…ํ™”์˜ ๊ฒฝ์šฐ 1.46(1.29-1.64) ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ™˜์ž-๋Œ€์กฐ๊ตฐ ์—ฐ๊ตฌ๋“ค์˜ ๊ฒฝ์šฐ 2.41(1.57-3.70), ์ฝ”ํ˜ธํŠธ ์—ฐ๊ตฌ๋“ค์˜ ๊ฒฝ์šฐ 2.51(1.34-4.70) ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. Newcastle Ottawa scale ์ ์ˆ˜๊ฐ€ โ€˜์ข‹์Œโ€™์œผ๋กœ ๋ถ„๋ฅ˜๋œ ์—ฐ๊ตฌ๋“ค์˜ ๊ฒฝ์šฐ 1.93(1.43-2.61)๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
์„ ํ–‰ ์—ฐ๊ตฌ์™€ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ํ˜ผํ•ฉ ์œ ๊ธฐ์šฉ์ œ ๋…ธ์ถœ ๊ทผ๋กœ์ž์—์„œ ๋งŒ์„ฑ ์‹ ๋ถ€์ „์˜ ์œ„ํ—˜์„ฑ์ด ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•œ ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋Š” ํ˜„์žฌ ์„์œ  ๊ด€๋ จ ์ œํ’ˆ ์ทจ๊ธ‰์ž, ๋„์žฅ๊ณต, ๊ธˆ์†๊ฐ€๊ณต, ์‹คํ—˜์‹ค ๊ทผ๋กœ์ž ๋“ฑ ํ˜ผํ•ฉ ์œ ๊ธฐ์šฉ์ œ ๊ณ ์šฉ๋Ÿ‰ ๋…ธ์ถœ๊ตฐ์— ๋Œ€ํ•œ ํŠน์ˆ˜๊ฑด๊ฐ•์ง„๋‹จ ์‹œ ์‹ ๊ธฐ๋Šฅ ๊ฒ€์‚ฌ๋‚˜ ๋‹จ๋ฐฑ๋‡จ ๊ฒ€์‚ฌ์˜ ๋ฒ”์œ„๋ฅผ ๋„“ํ˜€์•ผ ํ•จ์„ ์‹œ์‚ฌํ•  ์ˆ˜ ์žˆ๋‹ค.

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    Paridhi Patel, Dhimiter Bello, Anila Bello
    American Journal of Industrial Medicine.2025;[Epub]     CrossRef
  • Mixed Solvency Concept to Replace Harmful Organic Solvent: Recent Trends and Future Challenges in Formulation Development
    Pranjal Kumar Singh, Nidhi Singh, Atul Pratap Singh, Poonam Bhardwaj, Kapil Sachan, Smita Singh
    Combinatorial Chemistry & High Throughput Screening.2025; 28(2): 226.     CrossRef
  • The Exposome and the Kidney: A Silent Dialogue Shaping Chronic Kidney Disease
    Livia Alvarenga, Marcia Ribeiro, Ludmila F. M. F. Cardozo, Natรกlia A. Borges, Peter Stenvinkel, Denise Mafra
    Journal of Xenobiotics.2025; 15(3): 73.     CrossRef
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Original Article
Developing a short standard questionnaire for assessing work organization hazards: the Healthy Work Survey (HWS)
BongKyoo Choi, Youngju Seo
Ann Occup Environ Med 2023;35:e7.   Published online April 27, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e7
AbstractAbstract PDFSupplementary Material
Background

At present, no short standard questionnaire exists for assessing and comparing major work organization hazards in the workplaces of the United States.

Methods

We conducted a series of psychometric tests (content validity, factor analysis, differential-item functioning analysis, reliability, and concurrent validity) to validate and identify core items and scales for major work organization hazards using the data from the 2002โ€“2014 General Social Surveys (GSSs), including the Quality of Worklife (QWL) questionnaire. In addition, an extensive literature review was undertaken to find other major work organization hazards which were not addressed in the GSS.

Results

Although the overall validity of the GSS-QWL questionnaire was satisfactory in the psychometric tests, some GSS-QWL items of work-family conflict, psychological job demands, job insecurity, use of skills on the job, and safety climate scales appeared to be weak. In the end, 33 questions (31 GSS-QWL and 2 GSS) were chosen as the least, but best validated core questions and included in a new short standard questionnaire (called the Healthy Work Survey [HWS]). And their national norms were established for comparisons. Furthermore, based on the literature review, fifteen more questions for assessing other significant work organization hazards (e.g., lack of scheduling control, emotional demands, electronic surveillance, wage theft) were included in the new questionnaire. Thus, the HWS includes 48 questions in total for assessing traditional and emerging work organization hazards, which covers seven theoretical domains: work schedule/arrangement, control, support, reward, demands, safety, and justice.

Conclusions

The HWS is a short standard questionnaire for assessing work organization hazards which can be used as a first step toward the risk management of major work organization hazards in the workplaces of the US.


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    Hansoo Song, Hyoung Ryoul Kim, Inah Kim, Jin-Ha Yoon, Sang-Baek Koh, Sung-Soo Oh, Hee-Tae Kang, Da-Yee Jeung, Dae-Sung Hyun, Chunhui Suh, Sei-Jin Chang
    Annals of Occupational and Environmental Medicine.2025; 37: e12.     CrossRef
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    Journal of Occupational & Environmental Medicine.2025; 67(6): 404.     CrossRef
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Original Article
Occupational exposure to polycyclic aromatic hydrocarbons in Korean adults: evaluation of urinary 1-hydroxypyrene, 2-naphthol, 1-hydroxyphenanthrene, and 2-hydroxyfluorene using Second Korean National Environmental Health Survey data
Dong Hyun Hong, Jongwon Jung, Jeong Hun Jo, Dae Hwan Kim, Ji Young Ryu
Ann Occup Environ Med 2023;35:e6.   Published online March 24, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e6
AbstractAbstract AbstractAbstract in Korean PDF
Background

Polycyclic aromatic hydrocarbons (PAHs) are occupational and environmental pollutants generated by the incomplete combustion of organic matter. Exposure to PAHs can occur in various occupations. In this study, we compared PAH exposure levels among occupations based on 4 urinary PAH metabolites in a Korean adult population.

Methods

The evaluation of occupational exposure to PAHs was conducted using Second Korean National Environmental Health Survey data. The occupational groups were classified based on skill types. Four urinary PAH metabolites were used to evaluate PAH exposure: 1-hydroxypyrene (1-OHP), 2-naphthol (2-NAP), 1-hydroxyphenanthrene (1-OHPHE), and 2-hydroxyfluorene (2-OHFLU). The fraction exceeding the third quartile of urinary concentration for each PAH metabolite was assessed for each occupational group. Adjusted odds ratios (ORs) for exceeding the third quartile of urinary PAH metabolite concentration were calculated for each occupational group compared to the โ€œbusiness, administrative, clerical, financial, and insuranceโ€ group using multiple logistic regression analyses.

Results

The โ€œguard and securityโ€ (OR: 2.949; 95% confidence interval [CI]: 1.300โ€“6.691), โ€œdriving and transportationโ€ (OR: 2.487; 95% CI: 1.418โ€“4.364), โ€œconstruction and miningโ€ (OR: 2.683; 95% CI: 1.547โ€“4.655), and โ€œagriculture, forestry, and fisheriesโ€ (OR: 1.973; 95% CI: 1.220โ€“3.191) groups had significantly higher ORs for 1-OHP compared to the reference group. No group showed significantly higher ORs than the reference group for 2-NAP. The groups with significantly higher ORs for 1-OHPHE than the reference group were โ€œcooking and food serviceโ€ (OR: 2.073; 95% CI: 1.208โ€“3.556), โ€œdriving and transportationโ€ (OR: 1.724; 95% CI: 1.059โ€“2.808), and โ€œprinting, wood, and craft manufacturingโ€ (OR: 2.255; 95% CI: 1.022โ€“4.974). The OR for 2-OHFLU was significantly higher in the โ€œprinting, wood, and craft manufacturingโ€ group (OR: 3.109; 95% CI: 1.335โ€“7.241) than in the reference group.

Conclusions

The types and levels of PAH exposure differed among occupational groups in a Korean adult population.

ํ•œ๊ตญ ์„ฑ์ธ์˜ ๋‹คํ™˜ ๋ฐฉํ–ฅ์กฑ ํƒ„ํ™”์ˆ˜์†Œ์— ๋Œ€ํ•œ ์ง์—…์  ๋…ธ์ถœ: ์ œ 2๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด๊ธฐ์ดˆ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•œ ์š”์ค‘ 1-ํ•˜์ด๋“œ๋ก์‹œํ”ผ๋ Œ, 2-๋‚˜ํ”„ํ†จ, 1-ํ•˜์ด๋“œ๋ก์‹œํŽ˜๋‚œํŠธ๋ Œ ๋ฐ 2-ํ•˜์ด๋“œ๋ก์‹œํ”Œ๋ฃจ์˜ค๋ Œ ํ‰๊ฐ€
๋ชฉ์ 
๋‹คํ™˜ ๋ฐฉํ–ฅ์กฑ ํƒ„ํ™”์ˆ˜์†Œ(Polycyclic Aromatic Hydrocarbons, PAHs)๋Š” ์œ ๊ธฐ๋ฌผ์˜ ๋ถˆ์™„์ „ ์—ฐ์†Œ๋กœ ์ธํ•ด ๋ฐœ์ƒํ•˜๋Š” ์ง์—… ๋ฐ ํ™˜๊ฒฝ ์˜ค์—ผ ๋ฌผ์งˆ์ด๋‹ค. PAHs์— ๋Œ€ํ•œ ๋…ธ์ถœ์€ ๋Œ€ํ‘œ์ ์œผ๋กœ ์„ํƒ„ ๊ฐ€์Šคํ™” ๊ณต์ • ๋“ฑ ํŠน์ • ์—…๋ฌด ๋ฐ ์ง์—…๊ณผ ๊ด€๋ จํ•˜์—ฌ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์ง€๋งŒ, ๊ทธ ์™ธ ๋‹ค์–‘ํ•œ ์ง์—…๋“ค์—์„œ๋„ ๋…ธ์ถœ์ด ์ผ์–ด๋‚  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ œ2๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด๊ธฐ์ดˆ์กฐ์‚ฌ(2012-2014) ์ž๋ฃŒ์˜ 4๊ฐ€์ง€ ์š”์ค‘ PAH ๋Œ€์‚ฌ ์‚ฐ๋ฌผ๋“ค์„ ์ด์šฉํ•˜์—ฌ ํ•œ๊ตญ ์„ฑ์ธ ์ธ๊ตฌ์—์„œ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ง์—…๋“ค์—์„œ์˜ PAH ๋…ธ์ถœ ์ˆ˜์ค€์„ ๋น„๊ตํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์ œ 2๊ธฐ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด๊ธฐ์ดˆ์กฐ์‚ฌ์— ์ฐธ์—ฌํ•œ ์„ฑ์ธ ๋‚จ๋…€ 6,478๋ช…์„ ๋Œ€์ƒ์œผ๋กœ PAHs์— ๋Œ€ํ•œ ์ง์—…์  ๋…ธ์ถœ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ง์—…๊ตฐ์€ ์ง๋Šฅ ์œ ํ˜•์„ ๊ธฐ์ค€์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. PAHs ๋…ธ์ถœ์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ์š”์ค‘ PAH ๋Œ€์‚ฌ์‚ฐ๋ฌผ์ธ 1-ํ•˜์ด๋“œ๋ก์‹œํ”ผ๋ Œ, 2-๋‚˜ํ”„ํ†จ, 1-ํ•˜์ด๋“œ๋ก์‹œํŽ˜๋‚œํŠธ๋ Œ, ๊ทธ๋ฆฌ๊ณ  2-ํ•˜์ด๋“œ๋ก์‹œํ”Œ๋ฃจ์˜ค๋ Œ์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ฐ ์ง์—…๊ตฐ์—์„œ ๊ฐ๊ฐ์˜ ์š”์ค‘ PAH ๋Œ€์‚ฌ์‚ฐ๋ฌผ ๋†๋„์˜ ์ œ 3์‚ฌ๋ถ„์œ„์ˆ˜๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ๋น„์œจ์„ ๊ตฌํ•˜์˜€๋‹ค. ์ดํ›„ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€ ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ "๋น„์ฆˆ๋‹ˆ์Šค, ํ–‰์ •, ์‚ฌ๋ฌด, ๊ธˆ์œต ๋ฐ ๋ณดํ—˜" ๊ทธ๋ฃน๊ณผ ๋น„๊ตํ•ด ๊ฐ ์ง์—…๊ตฐ์—์„œ ์š”์ค‘ PAH ๋Œ€์‚ฌ์‚ฐ๋ฌผ ๋†๋„์˜ ์ œ 3์‚ฌ๋ถ„์œ„์ˆ˜๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ๋น„์œจ์— ๋Œ€ํ•œ ๋ณด์ •๋œ ๊ต์ฐจ๋น„๋ฅผ ๊ตฌํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
1-ํ•˜์ด๋“œ๋ก์‹œํ”ผ๋ Œ์˜ ๊ฒฝ์šฐ, "๊ฒฝ๋น„ ๋ฐ ๋ณด์•ˆ" (๊ต์ฐจ๋น„: 2.949, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.300โ€“6.691), "์šด์ „ ๋ฐ ์šด์†ก" (๊ต์ฐจ๋น„: 2.487, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.418โ€“4.364), "๊ฑด์„ค ๋ฐ ๊ด‘์—…" (๊ต์ฐจ๋น„: 2.683, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.547โ€“4.655), ๊ทธ๋ฆฌ๊ณ  "๋†์—…, ์ž„์—… ๋ฐ ์–ด์—…" (๊ต์ฐจ๋น„: 1.973, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.220โ€“3.191) ๊ทธ๋ฃน์—์„œ ์ฐธ์กฐ ๊ทธ๋ฃน๊ณผ ๋น„๊ตํ•˜์—ฌ ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ต์ฐจ๋น„๋ฅผ ๋ณด์˜€๋‹ค. 2-๋‚˜ํ”„ํ†จ์˜ ๊ฒฝ์šฐ, ์ฐธ์กฐ ๊ทธ๋ฃน๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ต์ฐจ๋น„๋ฅผ ๋ณด์ด๋Š” ์ง์—…๊ตฐ์€ ์—†์—ˆ๋‹ค. 1-ํ•˜์ด๋“œ๋ก์‹œํŽ˜๋‚œํŠธ๋ Œ์˜ ๊ฒฝ์šฐ, "์š”๋ฆฌ ๋ฐ ์Œ์‹ ์„œ๋น„์Šค" (๊ต์ฐจ๋น„: 2.073, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.208โ€“3.556), "์šด์ „ ๋ฐ ์šด์†ก" (๊ต์ฐจ๋น„: 1.724, 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„: 1.059-2.808), ๊ทธ๋ฆฌ๊ณ  "์ธ์‡„, ๋ชฉ์žฌ ๋ฐ ๊ณต์˜ˆํ’ˆ ์ œ์กฐ"(OR: 2.255, 95% CI: 1.022โ€“4.974) ๊ทธ๋ฃน์—์„œ ์ฐธ์กฐ๊ทธ๋ฃน์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ต์ฐจ๋น„๋ฅผ ๋ณด์˜€๋‹ค. 2-ํ•˜์ด๋“œ๋ก์‹œํ”Œ๋ฃจ์˜ค๋ Œ์˜ ๊ฒฝ์šฐ, "์ธ์‡„, ๋ชฉ์žฌ ๋ฐ ๊ณต์˜ˆํ’ˆ ์ œ์กฐ" (OR: 3.109, 95% CI: 1.335โ€“7.241)๊ทธ๋ฃน์—์„œ ์ฐธ์กฐ ๊ทธ๋ฃน์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ต์ฐจ๋น„๋ฅผ ๋ณด์˜€๋‹ค.
๊ฒฐ๋ก 
ํ•œ๊ตญ ์„ฑ์ธ ์ธ๊ตฌ์—์„œ PAH ๋…ธ์ถœ์ˆ˜์ค€๊ณผ ๋…ธ์ถœ๋˜๋Š” PAH์˜ ์ข…๋ฅ˜๋Š” ์ง์—…๊ตฐ์— ๋”ฐ๋ผ ๋‹ฌ๋ž์œผ๋ฉฐ, ๊ทธ์— ๋”ฐ๋ฅธ ์ถ”๊ฐ€์ ์ธ ํ‰๊ฐ€ ๋ฐ ๋ณดํ˜ธ์กฐ์น˜๊ฐ€ ํ•„์š”ํ•˜๋‹ค.

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Original Article
Commuting time and musculoskeletal pain in the relationship with working time: a cross-sectional study
Hoje Ryu, Seong-Sik Cho, Jung Il Kim, Sun-Haeng Choi, Nathan Kim
Ann Occup Environ Med 2025;37:e4.   Published online February 19, 2025
DOI: https://doi.org/10.35371/aoem.2025.37.e4
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background
Commuting is essential for working life; however, prolonged travel times can negatively affect health, particularly musculoskeletal pain. This study aims to examine the relationship between commuting time and musculoskeletal pain (back, upper extremity, and lower extremity pain), in the context of working time.
Methods
This cross-sectional study used data from the Sixth Korean Working Conditions Survey conducted in Korea between October 2020 and April 2021. Variables such as commuting time, weekly working hours, and shift work were assessed using the survey questions. Musculoskeletal pain was determined based on self-reported pains in the previous year. The covariates included demographics, employment status, ergonomic risks, and job stress. The association between commuting time and musculoskeletal pain stratified by weekly working hours or shift work was analyzed by survey-weighted logistic regression analysis.
Results
This study found a significant association between longer commuting times and increased prevalence of musculoskeletal pain, particularly back, upper extremity, and lower extremity pain. When commuting time was โ‰ค60, 61โ€“120, >120 minutes, the odds ratio was 1.00, 1.33 (95% confidence interval [CI]: 1.16โ€“1.52), and 2.41 (95% CI: 1.77โ€“3.29) for back pain; 1.00, 1.29 (95% CI: 1.13โ€“1.46), and 2.27 (95% CI: 1.71โ€“3.00) for upper extremity pain; and 1.00, 1.24 (95% CI: 1.05โ€“1.45), and 1.53 (95% CI: 1.13โ€“2.08) for lower extremity pain, respectively. Furthermore, except for upper extremity pain, this trend was amplified when participants were concurrently exposed to long working hours, and for lower extremity pain, this trend was aggravated among shift workers.
Conclusions
Long commuting time may be a risk factor for musculoskeletal pain, and itsโ€™ effects could be aggravated when combined with long working hours or shift work. This study observed the detrimental impact of prolonged commuting on musculoskeletal health, particularly among employees with extended working hours or shift work.
๋…ธ๋™ ์‹œ๊ฐ„ ๋ฐ ๊ต๋Œ€๊ทผ๋ฌด ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
ํ†ต๊ทผ ์‹œ๊ฐ„์€ ์—…๋ฌด์— ํ•„์ˆ˜์ ์ธ ์š”์†Œ์ด๋ฉฐ ๊ธด ํ†ต๊ทผ ์‹œ๊ฐ„์€ ๊ฑด๊ฐ•์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜๋„ ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ(ํ—ˆ๋ฆฌ, ์ƒ์ง€ ๋ฐ ํ•˜์ง€ ํ†ต์ฆ)์˜ ์—ฐ๊ด€์„ฑ์„ ๋…ธ๋™ ์‹œ๊ฐ„(์žฅ์‹œ๊ฐ„ ๋…ธ๋™ ๋ฐ ๊ต๋Œ€๊ทผ๋ฌด)์„ ๊ณ ๋ คํ•˜์—ฌ ์กฐ์‚ฌํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
์ด ์—ฐ๊ตฌ๋Š” ์ œ6์ฐจ ์ทจ์—…์ž๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ์˜ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ํ†ต๊ทผ ์‹œ๊ฐ„, ์ฃผ๋‹น ๊ทผ๋ฌด ์‹œ๊ฐ„, ๊ต๋Œ€๊ทผ๋ฌด ์—ฌ๋ถ€๋Š” ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ์€ ์ง€๋‚œ 1๋…„๊ฐ„ ์ž๊ฐ€ ๋ณด๊ณ ๋œ ๊ฑด๊ฐ• ๋ฌธ์ œ๋ฅผ ํ†ตํ•ด ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ณต๋ณ€๋Ÿ‰์—๋Š” ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ์š”์ธ, ๊ณ ์šฉ ์ƒํƒœ, ์ธ๊ฐ„๊ณตํ•™์  ์š”์ธ ๋ฐ ์ง์—… ์ŠคํŠธ๋ ˆ์Šค ์š”์ธ์ด ํฌํ•จ๋˜์—ˆ๋‹ค. ํ†ต๊ทผ ์‹œ๊ฐ„๊ณผ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ๊ณผ์˜ ์—ฐ๊ด€์„ฑ์„ ์ฃผ๋‹น ๊ทผ๋ฌด์‹œ๊ฐ„ ๋˜๋Š” ๊ต๋Œ€๊ทผ๋ฌด ์—ฌ๋ถ€์— ๋”ฐ๋ผ ๊ณ„์ธตํ™”ํ•˜์—ฌ ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
ํ†ต๊ทผ ์‹œ๊ฐ„์ด 60๋ถ„ ์ดํ•˜, 61~120๋ถ„, 120๋ถ„ ์ด์ƒ์ผ ๋•Œ ์š”ํ†ต์— ๋Œ€ํ•œ odds ratio๋Š” 1.00, 1.33(95% confidential interval [CI]: 1.16-1.52), 2.41(95% CI: 1.77-3.29); ์ƒ์ง€ ํ†ต์ฆ์€ 1.00, 1.29(95% CI: 1.13-1.46), 2.27(95% CI: 1.71-3.00); ํ•˜์ง€ ํ†ต์ฆ์€ 1.00, 1.24(95% CI: 1.05-1.45), 1.53(95% CI: 1.13-2.08)์ด์—ˆ๋‹ค. ๋˜ํ•œ ์ƒ์ง€ ํ†ต์ฆ์„ ์ œ์™ธํ•˜๊ณ ๋Š” ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์„ ๋ณ‘ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ ์˜ค์ฆˆ๋น„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ๊ณผ ํ•˜์ง€ ํ†ต์ฆ์˜ ๊ฒฝ์šฐ ๊ต๋Œ€ ๊ทผ๋ฌด์ž์—์„œ ์ฆ๊ฐ€๋˜๋Š” ๊ฒฝํ–ฅ์ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
๊ธด ํ†ต๊ทผ์‹œ๊ฐ„์€ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ์˜ ์œ„ํ—˜ ์š”์ธ์ด ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์ด๋‚˜ ๊ต๋Œ€๊ทผ๋ฌด์— ๋™์‹œ์— ๋…ธ์ถœ๋˜๋ฉด ํ•ด๋กœ์šด ์˜ํ–ฅ์ด ์ฆ๊ฐ€๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๊ธด ํ†ต๊ทผ์‹œ๊ฐ„์ด ๊ทผ๊ณจ๊ฒฉ๊ณ„ ๊ฑด๊ฐ•์— ํ•ด๋กœ์šด ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜๋„ ์žˆ๋‹ค๋Š” ์ ์„ ๋ณด์—ฌ์ฃผ๋ฉฐ, ํŠนํžˆ ์žฅ์‹œ๊ฐ„ ๋…ธ๋™์ด๋‚˜ ๊ต๋Œ€๊ทผ๋ฌด๋ฅผ ํ•˜๋Š” ๊ทผ๋กœ์ž ์ง‘๋‹จ์—์„œ ๊ทธ ์˜ํ–ฅ์ด ์ปค์งˆ ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.

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  • Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms
    Youjin Kim, Joon Yul Choi, Evgeny Petrovskiy, Wanhyung Lee
    Frontiers in Aging Neuroscience.2025;[Epub]     CrossRef
  • Bidirectional genetic associations between chronotype and shift work: A Mendelian randomization study
    Youjin Kim, Jongin Lee, Jeehee Min, Min Young Park, Seung-Yeon Lee, Seunghyun Lee, Wanhyung Lee
    Chronobiology International.2025; 42(12): 1736.     CrossRef
  • 4,748 View
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Original Article
Effect of psychosocial safety climate on work-family conflict and psychological health among working couples
Nurfazreen Aina Muhamad Nasharudin, Zhao Rui
Ann Occup Environ Med 2024;36:e27.   Published online October 25, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e27
AbstractAbstract PDFSupplementary Material
Background
The purpose of the study was to look into how work-family conflict (WFC), family-work conflict (FWC), and psychological health are affected by the psychosocial safety climate (PSC). First, the study suggested that for both husband and wife, PSC moderates the relationship between job demands and WFC. Second, the study predicted FWC mediates the relationship between WFC and depressive symptoms through the โ€œcrossoverโ€ process.
Methods
The study design used a multi-source sample that involved 350 teachers and their working spouses (n = 700). The analysis of mediation and moderation among job demands, WFC, FWC, PSC, and depressive symptoms was conducted using SPSS and structural equation modeling AMOS software.
Results
For the teacherโ€™s sample, based on behavioral (ฮฒ = 0.166, p < 0.05) and strain-based (ฮฒ = 0.170, p < 0.05) aspects, the hierarchical regression analysis revealed that the PSC moderates the relationship between physical demand and WFC. The results also showed that the relationship between time-based WFC and emotional demand is moderated by PSC (ฮฒ = 0.103, p < 0.05). Next, the analysis found that PSC moderates the association between cognitive demand and WFC of strain-based (ฮฒ = 0.179, p < 0.05). For the spouseโ€™s sample, according to the analysis, PSC moderates the relationship between strain-based WFC and physical demand (ฮฒ = 0.091, p < 0.05). The study also revealed that FWC serves as a mediator in the relationship between WFC and depressive symptoms in both husbands (ฮฒ = 0.233, p < 0.01) and wives (ฮฒ = 0.135, p < 0.001).
Conclusions
Overall, this study contributes significant insights to the current literature by examining the impact of PSC on the psychological well-being of individuals and others through the crossover process.

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  • Gender discrimination in the workplace and the onset of problematic alcohol use among female wage workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • Validating the polish version of the psychosocial safety climate PSC-12 scale (PSC-12-PL): a multisample and multilevel study
    Paweล‚ Jurek, Michaล‚ Olech, Ali Afsharian, Maureen F. Dollard
    Safety Science.2025; 191: 106956.     CrossRef
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Original Article
Relationship between organophosphate and pyrethroid pesticides and metabolic syndrome in Korean farmers
Sungbeom Kim, Sangchul Roh, Min-Gi Kim, Jeongbae Rhie, Jisue Yoon, Sun-In Moon
Ann Occup Environ Med 2024;36:e23.   Published online September 20, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e23
AbstractAbstract AbstractAbstract in Korean PDF
Background
The global use of pesticides steadily increased until the early 2010s. Pesticides play a significant role in agriculture in Korea. Metabolic syndrome is more prevalent in rural areas than in urban areas. This study explored the potential association between organophosphate and pyrethroid pesticide exposure and metabolic syndrome.
Methods
This study enrolled 1,317 individuals who participated in the Pesticide Exposure and Intoxication Study conducted by the Dankook University Hospital Center for Farmersโ€™ Safety and Health from 2014 to 2019. Urinary levels of dimethylphosphate, dimethylthiophosphat, diethylphosphate, and diethylthiophosphate were measured to assess organophosphate pesticide exposure and urinary levels cis-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid, trans-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid, cis-3-(2,2-dibromovinyl)-2,2-dimethylcyclopropane carboxylic acid, and 3-phenoxybenzoic acid were measured to assess pyrethroid pesticide exposure.
Results
The odds ratio for the 4th quartile group of organophosphate metabolites concentration was 1.48 (95% confidence interval: 1.06โ€“2.09) compared to the 1st quartile group after adjustment for general factors. In addition, a positive trend was observed across the quartile groups of organophosphate metabolites concentration. A positive trend was noted across the quartile groups of organophosphate metabolites in males, while no significant association was observed in females. Furthermore, no significant associations were observed between metabolic syndrome and pyrethroid metabolites concentration.
Conclusions
A positive correlation was observed between the prevalence of metabolic syndrome and the concentrations of urinary organophosphate metabolites, consistent with previous research finding. This association may be attributed to the action of organophosphates as acetylcholinesterase inhibitors, stimulating beta cells in the islets of Langerhans. This can lead to alterations in lipid metabolism and insulin resistance, ultimately leading to metabolic syndrome development. Metabolic syndrome is a major contributor to cardiovascular disease; therefore, it is necessary to identify the risk factors unique to rural areas, such as pesticide exposure.
ํ•œ๊ตญ ๋†์—…์ธ์˜ ์œ ๊ธฐ์ธ๊ณ„ ๋ฐ ํ”ผ๋ ˆ์Šค๋กœ์ด๋“œ๊ณ„ ๋†์•ฝ๊ณผ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ๊ฐ„์˜ ๊ด€๊ณ„
๋ชฉ์ 
๋†์•ฝ ์‚ฌ์šฉ๋Ÿ‰์€ 2010๋…„๋Œ€ ์ดˆ๊นŒ์ง€ ์ „์„ธ๊ณ„์ ์œผ๋กœ ๊พธ์ค€ํžˆ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ๋†์•ฝ์€ ํ•œ๊ตญ ๋†์—…์—์„œ ์ค‘์š”ํ•œ ๋ถ€๋ถ„์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ๋‹ค. ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ์€ ๋†์ดŒ ์ง€์—ญ์—์„œ ๋„์‹œ ์ง€์—ญ์— ๋น„ํ•˜์—ฌ ๋†’์€ ์œ ๋ณ‘๋ฅ ์„ ๋ณด์ธ๋‹ค. ์œ ๊ธฐ์—ผ์†Œ๊ณ„ ๋†์•ฝ๊ณผ ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ ์‚ฌ์ด์˜ ๊ด€๋ จ์„ฑ์€ ์ผ๋ถ€ ์—ฐ๊ตฌ๋œ ๋ฐ” ์žˆ์œผ๋‚˜, ๋‹ค๋ฅธ ์ข…๋ฅ˜์˜ ๋†์•ฝ ๋…ธ์ถœ๊ณผ ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ ์‚ฌ์ด์˜ ๊ด€๋ จ์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ œํ•œ์ ์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ์œ ๊ธฐ์ธ๊ณ„ ๋ฐ ํ”ผ๋ ˆ์Šค๋กœ์ด๋“œ๊ณ„ ๋†์•ฝ์˜ ๋…ธ์ถœ๊ณผ ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ ์‚ฌ์ด์˜ ๊ด€๋ จ์„ฑ์„ ์กฐ์‚ฌํ•˜๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
2014๋…„๋ถ€ํ„ฐ 2019๋…„๊นŒ์ง€ ๋‹จ๊ตญ๋Œ€ํ•™๊ต๋ณ‘์› ๋†์—…์•ˆ์ „๋ณด๊ฑด์„ผํ„ฐ์—์„œ ์‹ค์‹œํ•œ ๋†์•ฝ ๋…ธ์ถœ ๋ฐ ์ค‘๋… ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ•œ 1,317๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์œ ๊ธฐ์ธ๊ณ„ ๋†์•ฝ ๋…ธ์ถœ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด DMP, DMTP, DEP, DETP์˜ ์†Œ๋ณ€ ๋†๋„๋ฅผ ์ธก์ •ํ•˜์˜€๊ณ , ํ”ผ๋ ˆ์Šค๋กœ์ด๋“œ๊ณ„ ๋†์•ฝ ๋…ธ์ถœ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด cis-DCCA, trans-DCCA, DBCA, 3-PBA์˜ ์†Œ๋ณ€ ๋†๋„๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ๋‹ค๋ณ€๋Ÿ‰ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์—ฌ ๋†์•ฝ ๋…ธ์ถœ๊ณผ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ์œ ๋ณ‘๋ฅ  ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์œ ๊ธฐ์ธ๊ณ„ ๋Œ€์‚ฌ์ฒด ๋†๋„์— ๋”ฐ๋ผ 4๋ถ„์œ„ ๊ทธ๋ฃน์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€์„ ๋•Œ, 4๋ถ„์œ„ ๊ทธ๋ฃน์˜ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ์œ ๋ณ‘๋ฅ ์ด ์˜ค์ฆˆ๋น„ 1.66(95% CI 1.22-2.28)์œผ๋กœ 1๋ถ„์œ„ ๊ทธ๋ฃน์— ๋น„ํ•˜์—ฌ ๋†’์•˜๋‹ค. ๋˜ํ•œ, ์œ ๊ธฐ์ธ๊ณ„ ๋Œ€์‚ฌ์ฒด ๋†๋„์™€ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ์œ ๋ณ‘๋ฅ ์€ ์œ ์˜ํ•œ ๊ฒฝํ–ฅ์„ฑ์„ ๋ณด์˜€๋‹ค. ํ”ผ๋ ˆ์Šค๋กœ์ด๋“œ๊ณ„ ๋Œ€์‚ฌ์ฒด ๋†๋„์— ๋”ฐ๋ผ 4๋ถ„์œ„ ๊ทธ๋ฃน์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€์„ ๋•Œ, 3๋ถ„์œ„ ๊ทธ๋ฃน์˜ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ์œ ๋ณ‘๋ฅ ์ด ์˜ค์ฆˆ๋น„ 1.51(95% CI 1.11-2.07)๋กœ 1๋ถ„์œ„ ๊ทธ๋ฃน์— ๋น„ํ•˜์—ฌ ๋†’์•˜๋‹ค. ํ”ผ๋ ˆ์Šค๋กœ์ด๋“œ๊ณ„ ๋Œ€์‚ฌ์ฒด ๋†๋„์™€ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ ์‚ฌ์ด์— ์œ ์˜ํ•œ ๊ฒฝํ–ฅ์„ฑ์€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค.
๊ฒฐ๋ก 
์œ ๊ธฐ์ธ๊ณ„ ๋†์•ฝ ๋Œ€์‚ฌ์ฒด ๋†๋„์™€ ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ์˜ ์œ ๋ณ‘๋ฅ  ์‚ฌ์ด์— ์–‘์˜ ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ๊ด€์ฐฐ๋˜์—ˆ์œผ๋ฉฐ, ์ด์ „ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ถฉํ•˜๋Š” ๊ฒฐ๊ณผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ์˜ ์œ ๋ณ‘๋ฅ ์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ธฐ์ „์€ ๋ถˆ๋ถ„๋ช…ํ•˜๋‚˜, ์œ ๊ธฐ์ธ๊ณ„ ๋†์•ฝ์€ acetylcholinesterase inhibitor๋กœ ์ž‘์šฉํ•˜๋ฏ€๋กœ ๋ž‘๊ฒŒ๋ฅดํ•œ์Šค ์„ฌ์˜ ๋ฒ ํƒ€ ์„ธํฌ๋ฅผ ์ž๊ทนํ•˜๊ณ  ์ด์— ๋”ฐ๋ฅธ ์ง€์งˆ ๋Œ€์‚ฌ ๋ฐ ์ธ์А๋ฆฐ ์ €ํ•ญ์„ฑ์˜ ๋ณ€ํ™”๋กœ ์ธํ•ด ๋‚˜ํƒ€๋‚  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ถ”์ •๋œ๋‹ค. ๋Œ€์‚ฌ ์ฆํ›„๊ตฐ์€ ์‹ฌํ˜ˆ๊ด€ ์งˆํ™˜์˜ ์ฃผ์š” ์›์ธ ์ค‘ ํ•˜๋‚˜์ด๋ฉฐ, ๋†์ดŒ ์ง€์—ญ์—์„œ๋Š” ์˜๋ฃŒ ์ ‘๊ทผ์ด ๋น„๊ต์  ์ทจ์•ฝํ•˜๋ฉฐ ๋†์•ฝ๊ณผ ๊ฐ™์€ ํŠน์ˆ˜ํ•œ ์œ„ํ—˜ ์š”์ธ์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ด๋Ÿฌํ•œ ์œ„ํ—˜ ์š”์ธ๋“ค์„ ์‹๋ณ„ํ•˜๊ณ  ์˜ˆ๋ฐฉํ•˜์—ฌ์•ผ ํ•œ๋‹ค.

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  • Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach
    Yehoon Jo, Mi-Yeon Shin, Sungkyoon Kim
    Environment International.2025; 199: 109481.     CrossRef
  • Identification of key metabolic pathways and biomarkers in hypertensive metabolic syndrome through integrative multi-omics analysis
    Feng Wei, Yongqiao Zhang, Jiaxin Gong, Minna Tang, Ningzhi Zhang, Hongtao Shi, Jialu Hu, Zhifeng Yao, Zhaoqiang Cui
    Cardiology Plus.2025;[Epub]     CrossRef
  • 3,438 View
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  • 2 Web of Science
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Original Article
Telecommuting during the COVID-19: the role of job demand and control on health outcomes
Seung-Woo Ryoo, Jin-Young Min, Seok-Yoon Son, Baek-Yong Choi, Juho Choi, Kyoung-Bok Min
Ann Occup Environ Med 2024;36:e14.   Published online June 14, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e14
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

The coronavirus disease 2019 (COVID-19) pandemic drastically modified the occupational system wherein telecommuting has risen as the major form of work. Few studies have incorporated Karasekโ€™s job demand-control (JDC) model into explaining the health effects of telecommuting. This study aimed to investigate the health risk in South Korean telecommuters during the pandemic, and its distribution according to the job stress-related factors.

Methods

A nationwide population-based cross-sectional study of South Korean laborers was conducted, utilizing the 6th Korean Working Conditions Survey (2020โ€“2021). Following the previously described concept of telecommuting, 14,478 white-collar employees were eligible study participants. Telecommuting, job demand, job control, and various health indicators were measured by the responses to the survey. Participants were stratified into 4 job profiles classified by the JDC model. We conducted multiple logistic regression analyses between telecommuting and health-related outcomes to estimate the odds ratio (OR) with a 95% confidence interval (CI).

Results

One hundred forty-six low-strain, 223 active, 69 passive, and 148 high-strain workers were screened as telecommuters. Compared to office workers, telecommuters had a higher proportion in high job control groups. Subgroup analysis demonstrated different relationships between telecommuting and health, where only active telecommuters showed a higher prevalence of depression (OR: 1.980, 95% CI: 1.126โ€“3.481), and high-strain telecommuters were affected in most outcomes including insomnia (OR: 2.555, 95% CI: 1.473โ€“4.433), musculoskeletal pain (OR: 2.786, 95% CI: 1.719โ€“4.517), headache/eye strain (OR: 3.074, 95% CI: 1.992โ€“4.745) and presenteeism (OR: 1.932, 95% CI: 1.193โ€“3.131).

Conclusions

This study revealed significantly increased odds of multiple health outcomes among South Korean telecommuters during the COVID-19 pandemic era. High-strain job holders were prominently susceptible to the negative health impacts of telecommuting. Occupational health management towards telecommuters should approach mitigating high job demand and low job control.

์ฝ”๋กœ๋‚˜19 ์‹œ๊ธฐ ์žฌํƒ๊ทผ๋ฌด: ๊ฑด๊ฐ• ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์ง๋ฌด ์š”๊ตฌ์™€ ์ง๋ฌด ์žฌ๋Ÿ‰์˜ ์—ญํ• 
๋ชฉ์ 
์ฝ”๋กœ๋‚˜19 ํŒฌ๋ฐ๋ฏน์œผ๋กœ ์ธํ•ด ์žฌํƒ๊ทผ๋ฌด๋Š” ์ง๋ฌด ์ฒด๊ณ„์—์„œ ์ฃผ์š”ํ•œ ์—…๋ฌด ํ˜•ํƒœ๋กœ ๋– ์˜ฌ๋ž๋‹ค. ์žฌํƒ๊ทผ๋ฌด๊ฐ€ ๋…ธ๋™์ž์˜ ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์„ค๋ช…ํ•˜๋Š”๋ฐ ์žˆ์–ด ์ง๋ฌด ์š”๊ตฌ-์žฌ๋Ÿ‰ ๋ชจ๋ธ์„ ๋„์ž…ํ•œ ์—ฐ๊ตฌ๊ฐ€ ๋ถ€์กฑํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํŒฌ๋ฐ๋ฏน ๊ธฐ๊ฐ„ ๋™์•ˆ ํ•œ๊ตญ ์žฌํƒ๊ทผ๋ฌด์ž๋“ค์˜ ๊ฑด๊ฐ• ์œ„ํ—˜๊ณผ ์ƒ๊ธฐ ์ง๋ฌด ์ŠคํŠธ๋ ˆ์Šค ๊ด€๋ จ ์š”์ธ์— ๋”ฐ๋ฅธ ๋ถ„ํฌ๋ฅผ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ–ˆ๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” ์ œ6์ฐจ ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ(2020~2021๋…„)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ•œ๊ตญ ๋…ธ๋™์ž์— ๋Œ€ํ•œ ์ „๊ตญ ์ธ๊ตฌ ๊ธฐ๋ฐ˜ ํšก๋‹จ๋ฉด ์—ฐ๊ตฌ๋ฅผ ์‹ค์‹œํ–ˆ๋‹ค. ์ด์ „ ์—ฐ๊ตฌ์—์„œ ํ™•๋ฆฝํ•œ ์žฌํƒ๊ทผ๋ฌด ๊ฐœ๋…์— ๋”ฐ๋ผ 14,478๋ช…์˜ ํ™”์ดํŠธ ์นผ๋ผ ํ”ผ๊ณ ์šฉ์ธ ๋…ธ๋™์ž๋“ค์„ ์ ๊ฒฉ์ง‘๋‹จ์œผ๋กœ ์„ ์ •ํ–ˆ๋‹ค. ์„ค๋ฌธ์กฐ์‚ฌ ์‘๋‹ต ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ ์žฌํƒ๊ทผ๋ฌด, ์ง๋ฌด ์š”๊ตฌ, ์ง๋ฌด ์žฌ๋Ÿ‰ ๋ฐ ๋‹ค์–‘ํ•œ ๊ฑด๊ฐ• ์ง€ํ‘œ๋ฅผ ์ธก์ •ํ–ˆ๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์ž๋“ค์„ ์ง๋ฌด ์š”๊ตฌ-์žฌ๋Ÿ‰ ๋ชจ๋ธ์— ๋”ฐ๋ผ ๋ถ„๋ฅ˜๋œ ๋„ค ๊ฐ€์ง€ ์ง๋ฌด ์œ ํ˜•์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๊ณ , ๋‹ค์ค‘ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์—ฌ ์žฌํƒ๊ทผ๋ฌด ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ๊ฑด๊ฐ• ๋ณ€์ˆ˜์˜ ์˜ค์ฆˆ๋น„(OR)์™€ 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„(CI)์„ ์ธก์ •ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์ €-๊ธด์žฅ ๋…ธ๋™์ž 146๋ช…, ๋Šฅ๋™์  ๋…ธ๋™์ž 223๋ช…, ์ˆ˜๋™์  ๋…ธ๋™์ž 69๋ช…, ๊ณ -๊ธด์žฅ ๋…ธ๋™์ž148๋ช…์ด ์žฌํƒ๊ทผ๋ฌด์ž๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค. ํ†ต๊ทผ๊ทผ๋ฌด์ž์™€ ๋น„๊ตํ–ˆ์„ ๋•Œ, ์žฌํƒ๊ทผ๋ฌด์ž๋“ค์€ ์ง๋ฌด ์žฌ๋Ÿ‰์ด ๋†’์€ ๊ตฐ์—์„œ ๊ทธ ๋น„์ค‘์ด ๋†’์•˜๋‹ค. ์ธตํ™”๋ถ„์„ ๊ฒฐ๊ณผ ์žฌํƒ๊ทผ๋ฌด์™€ ๊ฑด๊ฐ• ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์€ ๊ตฐ๋ณ„๋กœ ์ƒ์ดํ•˜์˜€๋Š”๋ฐ, ์˜ค์ง ๋Šฅ๋™์  ์žฌํƒ๊ทผ๋ฌด์ž๋“ค๋งŒ์ด ํ†ต๊ทผ๊ทผ๋ฌด์ž๋“ค๋ณด๋‹ค ๋†’์€ ์šฐ์šธ์ฆ ์œ ๋ณ‘๋ฅ ์„ ๋ณด์˜€๊ณ  (OR 1.980, 95% CI 1.126-3.481) ๊ณ -๊ธด์žฅ ์žฌํƒ๊ทผ๋ฌด์ž๋“ค์ด ๊ฐ€์žฅ ๋งŽ์€ ๊ฒฐ๊ณผ ๋ณ€์ˆ˜์—์„œ ์œ ์˜ํ•œ ์˜ค์ฆˆ๋น„๋ฅผ ๋ณด์˜€๋‹ค; ๋ถˆ๋ฉด์ฆ (OR 2.555, 95% CI 1.473-4.433), ๊ทผ๊ณจ๊ฒฉ๊ณ„ ํ†ต์ฆ (OR 2.786, 95% CI 1.719-4.517), ๋‘ํ†ต/์•ˆ๊ตฌ ํ”ผ๋กœ (OR 3.074, 95% CI 1.992-4.745), ์ƒ๋ณ‘ ์‹œ ๊ทผ๋ฌด (OR 1.932, 95% CI 1.193-3.131).
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ์ฝ”๋กœ๋‚˜19 ํŒฌ๋ฐ๋ฏน ๊ธฐ๊ฐ„ ๋™์•ˆ ํ•œ๊ตญ ์žฌํƒ๊ทผ๋ฌด์ž๋“ค์—์„œ ๋‹ค์ˆ˜์˜ ๊ฑด๊ฐ• ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•  ์˜ค์ฆˆ๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๊ทธ์ค‘ ๊ณ -๊ธด์žฅ ์—…๋ฌด์— ์ข…์‚ฌํ•˜๋Š” ๋…ธ๋™์ž๋“ค์€ ์žฌํƒ๊ทผ๋ฌด๊ฐ€ ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์— ๊ฐ€์žฅ ์ทจ์•ฝํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ์žฌํƒ๊ทผ๋ฌด์ž๋“ค์— ๋Œ€ํ•œ ์‚ฐ์—…๋ณด๊ฑด ๊ด€๋ฆฌ๋Š” ๋†’์€ ์ง๋ฌด ์š”๊ตฌ์™€ ๋‚ฎ์€ ์ง๋ฌด ์žฌ๋Ÿ‰์„ ์™„ํ™”ํ•˜๋Š” ๋ฐฉํ–ฅ์œผ๋กœ ์ ‘๊ทผํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.

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  • Impact of Teleworking on Workโ€Related and Homeโ€Related Stress at During the First Global Lockdownโ€“The International COVISTRESS Study
    Sรฉbastien Couarraze, Guillaume Decormeille, Louis Delamarre, Fouad Marhar, Karen Gbaglo, Raimundo Avilรจs Dorlhiac, Mickael Berthon, Andy Suโ€I Liu, Samuel Antunes, Bruno Pereira, Julien S Baker, Morteza Charkhabi, Ukadike C Ugbolue, Reza Bagheri, Josรฉ J. G
    Brain and Behavior.2025;[Epub]     CrossRef
  • Occupational stress(KOSSยฎ19): scale development and validation in the Korean context
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    Annals of Occupational and Environmental Medicine.2025; 37: e12.     CrossRef
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Original Article
Impact of neck posture and insulating stick use on neck disability in Korean line workers: a cross-sectional study
Bounggyun Ju, Jaehoo Lee, Hye-min Kim, Chul Gab Lee, Hansoo Song
Ann Occup Environ Med 2024;36:e11.   Published online April 15, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e11
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Occupational neck disability is a prevalent issue, especially among line workers, who are often exposed to elevated levels of cervical ergonomic stress. The aim of this study was to investigate the impact of neck posture and insulating stick use on neck disability in a specific occupational group in Korea.

Methods

This cross-sectional study was conducted among 483 line workers in Gwangju and Jeonnam, Korea. Data were collected using the Neck Disability Index, Cervical Degenerative Index, and a structured questionnaire focusing on demographic and occupational factors. Logistic regression analysis was applied to determine the adjusted odds ratio (OR) and 95% confidence interval (CI) for neck posture and factors related to neck disability.

Results

Neck disability prevalence was 17.2% among the participants. Multivariate logistic regression analysis showed that factors related to neck disability included age over 60 years (adjusted OR: 3.08; 95% CI: 1.63โ€“5.83), depression (adjusted OR: 8.33; 95% CI: 3.85โ€“18.00), a history of cervical trauma (adjusted OR: 2.13; 95% CI: 1.04โ€“4.40), and radiological degenerative changes in the cervical spine (adjusted OR: 2.33; 95% CI: 1.26โ€“4.33). In particular, the adjusted OR of neck disability among live-line workers was 2.10 (95% CI: 1.12โ€“3.92) when compared with support workers (model 1). Other analysis models showed that use of insulating sticks for more than 10 hours per week (adjusted OR: 2.46; 95% CI: 1.32โ€“4.61) and higher neck extension (adjusted OR: 2.98; 95% CI: 1.14โ€“3.46) were significant work-related risk factors (model 2,3).

Conclusions

Neck posture, age, depression, cervical trauma history, degenerative changes in the cervical spine, and use of insulating sticks are significant risk factors for neck disability among line workers in Korea. These findings highlight the need to improve the working environment and reduce the burden of cervical ergonomic stress among line workers.

ํ•œ๊ตญ ๋ฐฐ์ „๋ณด์ˆ˜์›์˜ ๋ชฉ ๋ถ€๋‹ด์ž์„ธ์™€ ์ ˆ์—ฐ์Šคํ‹ฑ์‚ฌ์šฉ์ด ๋ชฉ ์žฅ์• ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ
๋ชฉ์ 
์ง์—…์„ฑ ๋ชฉ ์žฅ์• ๋Š” ํŠนํžˆ ๋†’์€ ์ˆ˜์ค€์˜ ๋ชฉ ๋ถ€๋‹ด์— ์ž์ฃผ ๋…ธ์ถœ๋˜๋Š” ๋ฐฐ์ „๋ณด์ˆ˜์› ์‚ฌ์ด์—์„œ ํ”ํ•œ ๋ฌธ์ œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐฐ์ „๋ณด์ˆ˜์›์„ ๋Œ€์ƒ์œผ๋กœ ๋ชฉ ๋ถ€๋‹ด์ž์„ธ์™€ ์ ˆ์—ฐ์Šคํ‹ฑ์‚ฌ ์šฉ์ด ๋ชฉ ์žฅ์• ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ๋‹จ๋ฉด์—ฐ๊ตฌ๋Š” ๊ด‘์ฃผ์™€ ์ „๋‚จ ์ง€์—ญ์˜ ๋ฐฐ์ „๋ณด์ˆ˜์› 483๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์‹ค์‹œ๋˜์—ˆ๋‹ค. ๋ชฉ ์žฅ์•  ์ง€์ˆ˜, ๊ฒฝ์ถ”ํ‡ดํ–‰์„ฑ ์ง€์ˆ˜, ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ๋ฐ ์ง์—…์  ์š”์ธ์— ์ดˆ์ ์„ ๋งž์ถ˜ ๊ตฌ์กฐํ™”๋œ ์„ค๋ฌธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ–ˆ๋‹ค. ๋ชฉ ๋ถ€๋‹ด์ž์„ธ์™€ ๋ชฉ ์žฅ์•  ๊ด€๋ จ ์š”์ธ์— ๋Œ€ํ•œ ๋ณด์ • ๊ต์ฐจ๋น„์™€ 95% ์‹ ๋ขฐ๊ตฌ๊ฐ„(CI)์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ชฉ ์žฅ์•  ์œ ๋ณ‘๋ฅ ์€ ํ™œ์„ ์ž‘์—…์ž(22.6%)์—์„œ ๊ฐ€์žฅ ๋†’์•˜์œผ๋ฉฐ, ์—ฐ๋ น์ด ๋†’์•„์งˆ์ˆ˜๋ก ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋ชฉ ์žฅ์•  ๊ด€๋ จ ์š”์ธ์€ ์šฐ์šธ์ฆ(8.13, 95% CI: 4.02~16.43), ๊ฒฝ์ถ” ์™ธ์ƒ ๋ณ‘๋ ฅ(3.53, 95% CI: 1.88~6.63), ๊ฒฝ์ถ” ๋ฐฉ์‚ฌ์„ ํ•™์  ํ‡ดํ–‰์„ฑ ๋ณ€ํ™”(2.35, 95% CI: 1.36-4.07)์˜€๋‹ค. ์ง์—…์  ์š”์ธ์œผ๋กœ ํ™œ์„ ์ž‘์—…์ž์˜ ๋ณด์ •๊ต์ฐจ๋น„๋Š” 2.10 (95% CI: 1.12-3.92)์ด์—ˆ๊ณ , ์ ˆ์—ฐ์Šคํ‹ฑ์„ ์ฃผ๋‹น 10์‹œ๊ฐ„ ์ด์ƒ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ ๋ณด์ •๊ต์ฐจ๋น„๋Š” 2.46 (95% CI: 1.32-4.61)์ด์—ˆ๋‹ค. ๋˜ํ•œ, ๋†’์€ ๋ชฉ ์‹ ์ „ ๋ถ€๋‹ด์˜ ๋ณด์ •๊ต์ฐจ๋น„๋Š” 1.98 (95% CI: 1.14-3.46)์ด์—ˆ๋‹ค.
๊ฒฐ๋ก 
์—ฐ๋ น, ์šฐ์šธ์ฆ, ๊ฒฝ์ถ” ์™ธ์ƒ, ๊ฒฝ์ถ”์˜ ํ‡ดํ–‰์„ฑ ๋ณ€ํ™”์™€ ๊ฐ™์€ ์ผ๋ฐ˜์  ์š”์ธ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ™œ์„ ์ž‘์—…, ์ ˆ์—ฐ์Šคํ‹ฑ ์‚ฌ์šฉ, ๋ชฉ ๋ถ€๋‹ด ์ž์„ธ์™€ ๊ฐ™์€ ์ง์—…์  ์š”์ธ์€ ๊ตญ๋‚ด ๋ฐฐ์ „๋ณด์ˆ˜์›์˜ ๋ชฉ ์žฅ์• ๋ฅผ ์œ ๋ฐœํ•˜๋Š” ์œ„ํ—˜ ์š”์ธ์ด๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ๋ฐฐ์ „๋ณด์ˆ˜์›์˜ ์ž‘์—…ํ™˜๊ฒฝ ๊ฐœ์„ ์˜ ํ•„์š”์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค.

Citations

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  • List of occupational diseases among farmers in Korea: a literature review
    Hansoo Song, Seok-Ju Yoo, Won-Ju Park, Seunghyeon Cho, Ki Soo Park, Joo Hyun Sung, Sang Jin Park, Seong-yong Yoon, Kyeongsoo Kim, Dong-phil Choi, Hye-min Kim, Bounggyun Ju, Kanwoo Youn
    Ann Occup Environ Med.2025; 37: e2.     CrossRef
  • Effects of dry needling on functioning and pain relief in patients with chronic nonspecific neck pain: a systematic review and meta-analysis of randomized controlled trials
    Alessandro de Sire, Nicola Marotta, Maria Sgro, Isabella Bartalotta, Roberta Zito, Dario Calafiore, Francesco Agostini, Michele Vecchio, Umile Giuseppe Longo, Antonio Ammendolia
    Disability and Rehabilitation.2025; : 1.     CrossRef
  • Dry needling in alleviating pain and enhancing function in neck pain: a scoping review
    Isabella Bartalotta, Nicola Marotta, Roberta Zito, Maria Sgro, Dario Calafiore, Francesco Agostini, Michele Vecchio, Umile Giuseppe Longo, Antonio Ammendolia, Alessandro de Sire
    International Journal of Bone Fragility.2025; 5(5): 46.     CrossRef
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  • 200 Download
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  • 3 Crossref
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Original Article
Exploring the association between non-regular employment and adverse birth outcomes: an analysis of national data in Japan
Tasuku Okui, Naoki Nakashima
Ann Occup Environ Med 2024;36:e6.   Published online March 18, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e6
Correction in: Ann Occup Environ Med 2024;36(0):e30
AbstractAbstract PDFSupplementary Material
Background

As few studies have explored the association between non-regular or precarious employment in parents and adverse birth outcomes, this study aimed to investigate this association using national data in Japan.

Methods

This study utilized the census data from 2020 and birth data from the vital statistics in 2021 and 2022 in the analysis. Adverse birth outcomes, including preterm birth, term low birth weight (TLBW), and small-for-gestational-age, were examined. Data linkage was conducted between birth data and census data to link parental employment statuses and educational attainments with birth data. Rates of adverse birth outcomes were calculated for each parental employment status. Additionally, regression analysis was used to determine adjusted risk ratios (RRs) of parental employment statuses for each birth outcome.

Results

After data linkage, 334,110 birth records were included in the statistical analysis. Rates for non-regular workers were consistently higher than those for regular workers across all adverse birth outcomes for maternal employment status. Results of regression analyses indicated that the risks of preterm birth for non-regular workers were statistically significantly higher than those for regular workers, both in mothers and fathers with a RR (95% confidence intervals [CIs]) of 1.053 (1.004โ€“1.104) and 1.142 (1.032โ€“1.264), respectively. Furthermore, the risk of TLBW birth for non-regular workers was statistically significantly higher than that for regular workers in fathers (RR [95% CI]: 1.092 [1.043โ€“1.143]).

Conclusions

Our findings demonstrate that non-regular workers have a higher risk of some adverse birth outcomes compared to regular workers.


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  • Assisted reproductive technology in Japan: A summary report for 2022 by the Ethics Committee of the Japan Society of Obstetrics and Gynecology
    Yukiko Katagiri, Seung Chik Jwa, Akira Kuwahara, Takeshi Iwasa, Masanori Ono, Keiichi Kato, Hiroshi Kishi, Yoshimitsu Kuwabara, Fuminori Taniguchi, Miyuki Harada, Akira Iwase, Norihiro Sugino
    Reproductive Medicine and Biology.2024;[Epub]     CrossRef
  • 4,767 View
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Original Article
Cardiometabolic diseases according to the type and degree of hearing loss in noise-exposed workers
KyooSang Kim, Sun-Haeng Choi
Ann Occup Environ Med 2024;36:e3.   Published online February 19, 2024
DOI: https://doi.org/10.35371/aoem.2024.36.e3
AbstractAbstract AbstractAbstract in Korean PDF
Background

This study aimed to determine the association between cardiometabolic diseases, including metabolic syndrome, hypertension, and diabetes, and the type and degree of hearing loss in noise-exposed workers.

Methods

A total of 237,028 workers underwent air conduction pure tone audiometry in 2015 to assess their health and diagnose cardiometabolic diseases. The study defined metabolic syndrome, hypertension, and diabetes using blood pressure, fasting blood sugar, cholesterol, and triglyceride levels. Mid-frequency hearing loss was defined as โ‰ฅ 30 dB at 2,000 Hz, whereas high-frequency hearing loss was โ‰ฅ 40 dB at 4,000 Hz. The average air conduction hearing thresholds at these frequencies were used to determine hearing loss degrees.

Results

The odds ratio (OR) of combined exposure to noise and night-shift work in all cardiometabolic diseases was higher than that of noise exposure alone. The risk of cardiometabolic diseases was dose-response, with higher hearing loss causing higher ORs. The ORs of hypertension compared with the normal group were 1.147 (1.098โ€“1.198), 1.196 (1.127โ€“1.270), and 1.212 (1.124โ€“1.306), and those of diabetes were 1.177 (1.119โ€“1.239), 1.234 (1.154โ€“1.319), and 1.346 (1.241โ€“1.459) for mild, moderate, and moderate-severe hearing loss, respectively.

Conclusions

Workers who are exposed to noise tend to demonstrate high risks of hearing loss and cardiometabolic diseases; thus, bio-monitoring of cardiometabolic diseases, as well as auditory observation, is necessary.

์†Œ์Œ ๋…ธ์ถœ ๊ทผ๋กœ์ž์˜ ๋‚œ์ฒญ ์œ ํ˜• ๋ฐ ์ •๋„์— ๋”ฐ๋ฅธ ์‹ฌํ˜ˆ๊ด€๋Œ€์‚ฌ์„ฑ ์งˆํ™˜
๋ชฉ์ 
๋ณธ ์—ฐ๊ตฌ๋Š” ์†Œ์Œ ๋…ธ์ถœ ๊ทผ๋กœ์ž์˜ ์‚ฌํšŒ์ธ๊ตฌํ•™์  ํŠน์„ฑ, ์ง์—…์  ํŠน์„ฑ, ์•ผ๊ฐ„ ๊ทผ๋ฌด ๋ฐ ๋‚œ์ฒญ ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ, ๊ณ ํ˜ˆ์••, ๋‹น๋‡จ๋ณ‘์„ ํฌํ•จํ•œ ์‹ฌ์žฅ-๋Œ€์‚ฌ์„ฑ ์งˆํ™˜๊ณผ์˜ ๊ด€๋ จ์„ฑ์„ ํŒŒ์•…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
2015๋…„ 237,028๋ช…์˜ ๊ทผ๋กœ์ž๋“ค์˜ ๊ธฐ๋„ ์ˆœ์Œ์ฒญ๋ ฅ๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์—ฌ ๋‚œ์ฒญ ์œ ํ˜•๊ณผ ์ •๋„๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ  ์‹ฌ์žฅ-๋Œ€์‚ฌ์„ฑ ์งˆํ™˜์„ ์ง„๋‹จํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ํ˜ˆ์••, ๊ณต๋ณต ํ˜ˆ๋‹น, ์ฝœ๋ ˆ์Šคํ…Œ๋กค ๋ฐ ์ค‘์„ฑ์ง€๋ฐฉ ์ˆ˜์น˜๋ฅผ ์ด์šฉํ•˜์—ฌ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ, ๊ณ ํ˜ˆ์•• ๋ฐ ๋‹น๋‡จ๋ณ‘์„ ์ •์˜ํ•˜์˜€๋‹ค. ์ค‘์Œ์—ญ ๋‚œ์ฒญ์€ 2000 Hz์—์„œ 30 dB ์ด์ƒ์œผ๋กœ ์ •์˜ํ•œ ๋ฐ˜๋ฉด ๊ณ ์Œ์—ญ ๋‚œ์ฒญ์€ 4000 Hz์—์„œ 40 dB ์ด์ƒ์œผ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ๋‚œ์ฒญ์˜ ์ค‘์ฆ๋„๋Š” ์ด๋“ค ์ฃผํŒŒ์ˆ˜์˜ ๊ธฐ๋„ ์ˆœ์Œ ์ฒญ๋ ฅ์—ญ์น˜์˜ ํ‰๊ท ์œผ๋กœ ์ •ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋ชจ๋“  ์‹ฌ์žฅ-๋Œ€์‚ฌ์„ฑ ์งˆํ™˜์—์„œ ์†Œ์Œ ๋…ธ์ถœ๊ณผ ์•ผ๊ฐ„ ๊ต๋Œ€๊ทผ๋ฌด์— ๋ณตํ•ฉ ๋…ธ์ถœ๋œ ๊ฒฝ์šฐ ์†Œ์Œ์—๋งŒ ๋…ธ์ถœ๋œ ๊ฒฝ์šฐ๋ณด๋‹ค ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์•˜๋‹ค. ์ฒญ๋ ฅ์†์‹ค์ด ํด์ˆ˜๋ก ์œ ์˜ํ•˜๊ฒŒ ์˜ค์ฆˆ๋น„๊ฐ€ ๋†’์œผ๋ฉฐ ์‹ฌ์žฅ-๋Œ€์‚ฌ์„ฑ ์งˆํ™˜๊ณผ์˜ ์šฉ๋Ÿ‰-๋ฐ˜์‘ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์ •์ƒ๊ตฐ์— ๋น„ํ•ด ๊ณ ํ˜ˆ์••์˜ ์˜ค์ฆˆ๋น„๋Š” ๊ฒฝ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.147 (1.098 - 1.198), ์ค‘๋“ฑ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.196 (1.127 - 1.270), ์ค‘๋“ฑ๊ณ ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.212(1.124 - 1.306)์˜€๋‹ค. ์ •์ƒ๊ตฐ์— ๋น„ํ•ด ๋‹น๋‡จ๋ณ‘์˜ ์˜ค์ฆˆ๋น„๋Š” ๊ฒฝ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.177 (1.119 - 1.239), ์ค‘๋“ฑ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.234 (1.154 - 1.319), ์ค‘๋“ฑ๊ณ ๋„ ๋‚œ์ฒญ์˜ ๊ฒฝ์šฐ 1.346 (1.241 - 1.459)์ด์—ˆ๋‹ค.
๊ฒฐ๋ก 
์†Œ์Œ์— ๋…ธ์ถœ๋œ ๊ทผ๋กœ์ž๋Š” ๋‚œ์ฒญ ๋ฐ ์‹ฌํ˜ˆ๊ด€๊ณ„ ์งˆํ™˜์˜ ์œ„ํ—˜์ด ๋†’์€ ๊ฒฝํ–ฅ์ด ์žˆ์œผ๋ฏ€๋กœ ์ฒญ๊ฐ์  ๊ด€์ฐฐ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‹ฌํ˜ˆ๊ด€๊ณ„ ์งˆํ™˜์— ๋Œ€ํ•œ ์ƒ์ฒด ๋ชจ๋‹ˆํ„ฐ๋ง์ด ํ•„์š”ํ•˜๋‹ค.

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  • Association between sensory impairment and cardiometabolic multimorbidity among older Chinese adults: a cross-sectional study based on the China Health and Retirement Longitudinal Study
    Jing Xi, Kewen Niu, Jiaqi Xu, Yangyang Lu, Xinjie Li, Hongyan Meng, Chun Li
    BMC Geriatrics.2025;[Epub]     CrossRef
  • Environmental noise exposure and a new biomarker of Alzheimer's disease: A pilot study
    Jonghun Lee, Cheol-Woon Kim, Youjin Kim, Seunghyun Lee, Joon Yul Choi, Wanhyung Lee
    Journal of Alzheimerโ€™s Disease.2025;[Epub]     CrossRef
  • 2,594 View
  • 205 Download
  • 2 Web of Science
  • 2 Crossref
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Original Article
Relationship between the use of plastics in refrigerator food storage and urine phthalate metabolites: the Korean National Environmental Health Survey (KoNEHS) cycle 3
Jisoo Kang, Seong-yong Cho, Seongyong Yoon
Ann Occup Environ Med 2023;35:e53.   Published online December 27, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e53
AbstractAbstract AbstractAbstract in Korean PDF
Background

Plastics are high-molecular-weight materials composed of long carbon chains. They are prevalent in daily life, present in various items such as food containers and microwavable packaging. Phthalates, an additive used to enhance their flexibility, are endocrine-disrupting chemicals. We utilized the data from the Korean National Environmental Health Survey (KoNEHS) cycle 3, representing the general South Korean population, to investigate the relationship between the use of plastics in refrigerator food storage and phthalate exposure.

Methods

We assessed 3,333 adult participants (aged โ‰ฅ 19 years) including 1,526 men and 1,807 women, using data from KoNEHS cycle 3. Using the 75th percentile concentration, urine phthalate metabolites were categorized into high and low-concentration groups. ฯ‡2 test was conducted to analyze variations in the distribution of each variable, considering sociodemographic factors, health-related factors, food intake, the use of plastics, and the concentration of urine phthalate metabolites as the variables. To calculate odds ratios (ORs) for the high-concentration group of urine phthalate metabolites based on the use of plastics in refrigerator food storage, logistic regression analysis was conducted.

Results

In men, the use of plastics in refrigerator food storage had significantly higher adjusted ORs compared to those using the others. The adjusted ORs were calculated as follows: mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) had an OR of 1.35 (95% confidence interval [CI]: 1.05โ€“1.72), mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) had an OR of 1.48 (95% CI: 1.16โ€“1.88), mono-(2-ethyl-5-carboxypentyl) phthalate (MECPP) had an OR of 1.32 (95% CI: 1.04โ€“1.66), โˆ‘di(2-ethylhexyl) phthalate (โˆ‘DEHP) had an OR of 1.37 (95% CI: 1.08โ€“1.74) and mono-n-butyl phthalate (MnBP) had an OR of 1.44 (95% CI: 1.13โ€“1.84).

Conclusion

The concentrations of urine phthalate metabolites (MEHHP, MEOHP, MECPP, โˆ‘DEHP, and MnBP) were significantly higher in men who used plastics in refrigerator food storage compared to those using the others.

์ œ3๊ธฐ(2015-2017) ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•œ ๋ƒ‰์žฅ๊ณ  ์‹ํ’ˆ๋ณด๊ด€ ์‹œ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด๊ฐ„์˜ ๊ด€๊ณ„
๋ชฉ์ 
ํ”Œ๋ผ์Šคํ‹ฑ์€ ๊ธด ํƒ„์†Œ ์‚ฌ์Šฌ๋กœ ๊ตฌ์„ฑ๋œ ๊ณ ๋ถ„์ž ๋ฌผ์งˆ๋กœ ์ผ์ƒ์ƒํ™œ์—์„œ ์‹ํ’ˆ์šฉ๊ธฐ, ์ „์ž๋ ˆ์ธ์ง€์šฉ ํฌ์žฅ์šฉ๊ธฐ ๋“ฑ ๋‹ค์–‘ํ•œ ๊ณณ์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํ”„ํƒˆ๋ ˆ์ดํŠธ๋Š” ํ”Œ๋ผ์Šคํ‹ฑ์˜ ์œ ์—ฐ์„ฑ์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ๊ฐ€์†Œ์ œ๋กœ ์‚ฌ์šฉ๋˜๋Š”๋ฐ, ์ด๋Š” ๋‚ด๋ถ„๋น„๊ณ„ ์žฅ์• ๋ฌผ์งˆ๋กœ ์•Œ๋ ค์ ธ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ์ธ๊ตฌ๋ฅผ ๋Œ€ํ‘œํ•˜๋Š” ์ž๋ฃŒ์ธ ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ 3๊ธฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฐ€์ •๋‚ด ๋ƒ‰์žฅ๊ณ  ์‹ํ’ˆ๋ณด๊ด€ ์‹œ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด์™€์˜ ์—ฐ๊ด€์„ฑ์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” ๊ตญ๋ฏผํ™˜๊ฒฝ๋ณด๊ฑด ๊ธฐ์ดˆ์กฐ์‚ฌ 3๊ธฐ์—์„œ 3,333๋ช…์˜ 19์„ธ ์ด์ƒ ์„ฑ์ธ์„ ์—ฐ๊ตฌ ๋Œ€์ƒ์ž๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. (๋‚จ์ž: 1,526๋ช… ์—ฌ์ž: 1,807๋ช…) ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด๋Š” 75th percentile๊ฐ’์„ ๊ธฐ์ค€์œผ๋กœ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๊ณ ๋†๋„๊ตฐ๊ณผ ์ €๋†๋„๊ตฐ์œผ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ์‚ฌํšŒ์ธ๊ตฌํ•™์  ์š”์ธ, ๊ฑด๊ฐ•ํ–‰ํƒœ ์š”์ธ, ์‹์ด์š”์ธ๊ณผ ํ”Œ๋ผ์Šคํ‹ฑ ์‚ฌ์šฉ, ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๋†๋„๊ฐ„์˜ ๋ถ„ํฌ๋ฅผ ๋ถ„์„ํ•˜๊ธฐ์œ„ํ•ด ฯ‡2-test๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ€์ •๋‚ด ๋ƒ‰์žฅ๊ณ  ์‹ํ’ˆ๋ณด๊ด€ ์‹œ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ์™€ ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๊ณ ๋†๋„๊ตฐ์— ์†ํ•  OR๊ฐ’์„ ๊ณ„์‚ฐํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋‚จ์„ฑ์—์„œ ๊ฐ€์ •๋‚ด ๋ƒ‰์žฅ๊ณ  ์‹ํ’ˆ๋ณด๊ด€์‹œ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด ๋†๋„๊ฐ€ ๋†’์•˜๋‹ค. ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ MEHHP์˜ ๊ณ ๋†๋„๊ตฐ์— ํ•ด๋‹น๋  adjusted ORs์€ 1.35(95%CI: 1.05-1.72), MEOHP 1.48(95%CI: 1.16-1.88), MECPP 1.32(95%CI: 1.04-1.66), โˆ‘DEHP 1.37(95%CI: 1.08-1.74), MnBP 1.44(95%CI: 1.13-1.84)์œผ๋กœ ์กฐ์‚ฌ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
๋‚จ์„ฑ์—์„œ ๊ฐ€์ •๋‚ด ๋ƒ‰์žฅ๊ณ  ์‹ํ’ˆ ๋ณด๊ด€ ์‹œ ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ๋Š” ํ”Œ๋ผ์Šคํ‹ฑ์„ ์‚ฌ์šฉํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ์š”์ค‘ ํ”„ํƒˆ๋ ˆ์ดํŠธ ๋Œ€์‚ฌ์ฒด(MEHHP, MEOHP, MECPP, โˆ‘DEHP, MnBP) ๋†๋„๊ฐ€ ๋†’์•˜๋‹ค.

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  • Biomonitoring of Endocrine Disrupting Chemicals in Exclusively Breastfed Infants and Correlation with the Mother Surveys
    Adnan Barutcu, Pinar Efeoglu Ozseker, Hacer Yapicioglu Yildizdas, Saliha Barutcu, Alihan Sursal, Ali Evrim Dogan, Nurdan Evliyaoglu
    Exposure and Health.2025;[Epub]     CrossRef
  • Microplastic particles in human blood and their association with coagulation markers
    Dong-Wook Lee, Jaehak Jung, Seul-ah Park, Yunjeong Lee, Juyang Kim, Changwoo Han, Hwan-Cheol Kim, Joon Hee Lee, Yun-Chul Hong
    Scientific Reports.2024;[Epub]     CrossRef
  • 2,611 View
  • 37 Download
  • 2 Web of Science
  • 2 Crossref
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Original Article
Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
Sewhan Na, Jong-Tae Park, Seungbeom Kim, Jinwoo Han, Saemi Jung, Kyeongmin Kwak
Ann Occup Environ Med 2023;35:e51.   Published online December 4, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e51
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

Recently, there has been increasing worldwide concern about outdoor air pollution, especially particulate matter (PM), which has been extensively researched for its harmful effects on the respiratory system. However, sufficient research on its effects on cardiovascular diseases, such as hypertension, remains lacking. In this study, we examine the associations between PM levels and hypertension and hypothesize that higher PM concentrations are associated with elevated blood pressure.

Methods

A total of 133,935 adults aged โ‰ฅ 40 years who participated in the Korean Genome and Epidemiology Study were analyzed. Multiple linear regression analyses were conducted to investigate the short- (1โ€“14 days), medium- (1 and 3 months), and long-term (1 and 2 years) impacts of PM on blood pressure. Logistic regression analyses were conducted to evaluate the medium- and long-term effects of PM on blood pressure elevation after adjusting for sex, age, body mass index, health-related lifestyle behaviors, and geographic areas.

Results

Using multiple linear regression analyses, both crude and adjusted models generated positive estimates, indicating an association with increased blood pressure, with all results being statistically significant, with the exception of PM levels over the long-term period (1 and 2 years) in non-hypertensive participants. In the logistic regression analyses on non-hypertensive participants, moderate PM10 (particulate matter with diameters < 10 ฮผm) and PM2.5 (particulate matter with diameters < 2.5 ฮผm) levels over the long-term period and all high PM10 and PM2.5 levels were statistically significant after adjusting for various covariates. Notably, high PM2.5 levels of the 1 year exhibited the highest odds ratio of 1.23 (95% confidence interval: 1.19โ€“1.28) after adjustment.

Conclusions

These findings suggest that both short- and long-term exposure to PM is associated with blood pressure elevation.

๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์™€ ๊ณ ํ˜ˆ์••๊ณผ์˜ ์—ฐ๊ด€์„ฑ: ํ•œ๊ตญ์ธ์œ ์ „์ฒด์—ญํ•™์กฐ์‚ฌ์‚ฌ์—… ์ž๋ฃŒ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ
๋ชฉ์ 
ํ™˜๊ฒฝ๋ณด๊ฑด์—์„œ ๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์˜ ์ค‘์š”์„ฑ์ด ๊ฐˆ์ˆ˜๋ก ์ปค์ง€๊ณ  ์žˆ์œผ๋‚˜ ์•„์ง ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์™€ ๊ณ ํ˜ˆ์••๊ณผ์˜ ์—ฐ๊ด€์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๊ฐ€ ์ถฉ๋ถ„ํ•˜์ง€ ๋ชปํ•˜์—ฌ ํ™•์‹คํ•œ ๊ฒฐ๋ก ์„ ๋‚ด๋ฆฌ๊ธฐ ์–ด๋ ค์šด ์ƒํ™ฉ์— ์ฒ˜ํ•ด์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋…ธ์ถœ๊ณผ ํ˜ˆ์•• ์ƒ์Šน์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ฐํžˆ๋Š” ๋ฐ์— ๋ชฉ์ ์„ ๋‘๊ณ  ์žˆ๋‹ค.
๋ฐฉ๋ฒ•
๋ณธ ์—ฐ๊ตฌ๋Š” ์งˆ๋ณ‘๊ด€๋ฆฌ์ฒญ ๊ตญ๋ฆฝ๋ณด๊ฑด์—ฐ๊ตฌ์›์—์„œ ๋‹ด๋‹นํ•˜๊ณ  ์žˆ๋Š” ํ•œ๊ตญ์ธ์œ ์ „์ฒด์—ญํ•™์กฐ์‚ฌ์‚ฌ์—… ์ฝ”ํ˜ธํŠธ์™€ ๋Œ€๊ธฐ์˜ค์—ผ ๋ชจ๋‹ˆํ„ฐ๋ง ์ž๋ฃŒ๊ฐ€ ์—ฐ๊ณ„๋œ ๋ฐ์ดํ„ฐ์—์„œ ์ถ”์ถœํ•œ 133,935 ๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ๋‹ค์ค‘์„ ํ˜• ํšŒ๊ท€๋ถ„์„๊ณผ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์™€ ํ˜ˆ์•• ์ˆ˜์ค€๊ณผ์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๋‹ค์ค‘์„ ํ˜• ํšŒ๊ท€๋ถ„์„์—์„œ๋Š” ์„ฑ๋ณ„, ๋‚˜์ด ๋“ฑ๊ณผ ๊ฐ™์€ ๊ณต๋ณ€์ˆ˜๋“ค์„ ๋ณด์ •ํ•˜๊ธฐ ์ „๊ณผ ํ›„ ๋ชจ๋‘ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก, ํ˜ˆ์••์ด ์ƒ์Šนํ•˜์˜€๋‹ค. ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์—์„œ ๊ณ ํ˜ˆ์••์˜ ์˜ค์ฆˆ๋น„(odds ratio; OR)๋Š” ๋†’์€ ๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์— ๋…ธ์ถœ๋œ ์ฐธ์—ฌ์ž๋“ค์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•œ ๋ฐ˜๋ฉด, ์ค‘๋“ฑ๋„์˜ ๋ฏธ์„ธ๋จผ์ง€ ๋†๋„์— ๋…ธ์ถœ๋œ ์ฐธ์—ฌ์ž๋“ค์—์„œ๋Š” ๋…ธ์ถœ๊ธฐ๊ฐ„์— ๋”ฐ๋ผ ๊ฒฐ๊ณผ๊ฐ€ ๋‹ฌ๋ผ์ง€๋Š” ์–‘์ƒ์„ ๋ณด์˜€๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋Œ€๊ธฐ ์ค‘ ๋ฏธ์„ธ๋จผ์ง€ ๋…ธ์ถœ์ด ๊ณ ํ˜ˆ์•• ์œ„ํ—˜๋„ ์ฆ๊ฐ€์™€ ๊ด€๋ จ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.

Citations

Citations to this article as recorded by  
  • Long-term joint exposure of outdoor air pollutants and impaired kidney function in Korean adults: A mixture analysis based on a nationwide sample (2007โ€“2019)
    Seong-Uk Baek, Jin-Ha Yoon
    Environmental Toxicology and Pharmacology.2025; 116: 104712.     CrossRef
  • Long-term exposure to ambient air pollutant mixture and metabolic obesity phenotypes: Results from a nationwide Korean study (2007โ€“2019)
    Seong-Uk Baek, Jin-Ha Yoon
    Journal of Exposure Science & Environmental Epidemiology.2025;[Epub]     CrossRef
  • Association between exposure to ambient particulate matter and high sensitivity C-reactive protein: A nationwide study in South Korea, 2015โ€“2018
    Seong-Uk Baek, Jong-Uk Won, Yu-Min Lee, Jin-Ha Yoon
    Atmospheric Environment.2024; 339: 120856.     CrossRef
  • 3,176 View
  • 37 Download
  • 2 Web of Science
  • 3 Crossref
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Original Article
Association between receiving work communications outside of work hours via telecommunication devices and work-related headaches and eyestrain: a cross-sectional analysis of the 6th Korean Working Conditions Survey
Yoon-Soo Jang, Jae-Han Lee, Na-Rae Lee, Dong-Woo Kim, June-Hee Lee, Kyung-Jae Lee
Ann Occup Environ Med 2023;35:e50.   Published online December 1, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e50
AbstractAbstract AbstractAbstract in Korean PDF
Background

The rise in telecommuting or non-face-to-face work owing to the coronavirus disease 2019 pandemic has fueled conversations regarding the โ€œright to disconnect.โ€ Although evidence suggests that receiving work-related communications through telecommunication devices outside of work hours may lead to various symptoms and illnesses, limited research has been undertaken on these symptoms. This study therefore aims to investigate the correlation between receiving work communications through telecommunication devices after work hours and the occurrence of work-related headaches and eyestrain in full-time, non-shift white-collar workers.

Methods

This study used data from the 6th Korean Working Conditions Survey. The frequency of using telecommunication devices for work purposes outside of working hours was divided into five categories: โ€œEvery day,โ€ โ€œSeveral times a week,โ€ โ€œSeveral times a month,โ€ โ€œRarely,โ€ and โ€œNever.โ€ Work-related headaches and eyestrain were categorized based on a โ€œyesโ€ or โ€œnoโ€ response to the survey questions. Descriptive statistics, ฯ‡2 tests, and multiple logistic regression analyses were performed using SPSS 27.0.

Results

After adjusting for sex, age, income level, education, occupation, workplace size, work hours, and sleep disorders, the odds ratio (OR) of work-related headaches and eyestrain based on frequency of telecommunication device usage were as follows: โ€œrarelyโ€ (OR: 1.292; 95% confidence interval [CI]: 1.111โ€“1.503), โ€œseveral times a monthโ€ (OR: 1.551; 95% CI: 1.249โ€“1.926), โ€œseveral times a weekโ€ (OR: 1.474; 95% CI: 1.217โ€“1.784), and โ€œevery dayโ€ (OR: 1.548; 95% CI: 1.321โ€“1.813).

Conclusions

Employees who use telecommunication devices for work after regular hours are more susceptible to experiencing work-related headaches and eyestrain compared to those who do not. However, there is a dearth of research examining the physical and mental health impacts of using telecommunication devices for after-hours work. Furthermore, the existing preventative measures in Korea are insufficient. Consequently, it is imperative to develop effective measures and conduct additional research to address this issue.

๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ํ†ตํ•œ ์—…๋ฌด ์—ฐ๋ฝ ์ˆ˜์‹ ๊ณผ ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
์ฝ”๋กœ๋‚˜19์˜ ์˜ํ–ฅ์œผ๋กœ ์žฌํƒ๊ทผ๋ฌด, ๋น„๋Œ€๋ฉด ์—…๋ฌด๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด์„œ โ€œ์—ฐ๊ฒฐ์ฐจ๋‹จ๊ถŒโ€์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ๊ณ„์†๋˜๊ณ  ์žˆ๋‹ค. ๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ์— ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ํ†ตํ•œ ์—…๋ฌด ์—ฐ๋ฝ ์ˆ˜์‹ ์€ ๋‹ค์–‘ํ•œ ์ฆ์ƒ๊ณผ ์งˆ๋ณ‘์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ฐ๊ฐ์˜ ์ฆ์ƒ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ์ œํ•œ์ ์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ต๋Œ€๊ทผ๋ฌด๋ฅผ ํ•˜์ง€ ์•Š๋Š” ์ •๊ทœ์ง ์‚ฌ๋ฌด์ง ๊ทผ๋กœ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ํ†ตํ•œ ์—…๋ฌด ์—ฐ๋ฝ ์ˆ˜์‹ ๊ณผ ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ ๋ฐœ์ƒ ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์กฐ์‚ฌํ•˜๊ณ ์ž ํ•œ๋‹ค.
๋ฐฉ๋ฒ•
์ œ6์ฐจ ํ•œ๊ตญ ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ ์—…๋ฌด ๋ชฉ์ ์œผ๋กœ ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋นˆ๋„๋ฅผ 5๊ฐ€์ง€ ํ•ญ๋ชฉ: "๋งค์ผ", "์ผ์ฃผ์ผ์— ์—ฌ๋Ÿฌ ๋ฒˆ", "ํ•œ ๋‹ฌ์— ์—ฌ๋Ÿฌ ๋ฒˆ", "๋“œ๋ฌผ๊ฒŒโ€, "์ „ํ˜€ ์—†์—ˆ์Œ"์œผ๋กœ ๋‚˜๋ˆ„์–ด ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ๋Š” "์˜ˆ" ๋˜๋Š” "์•„๋‹ˆ์˜ค" ์‘๋‹ต์— ๋”ฐ๋ผ ๋‘ ๊ฐ€์ง€ ๋ฒ”์ฃผ๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค. SPSS 27.0์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ์ˆ  ํ†ต๊ณ„, ์นด์ด์ œ๊ณฑ ๊ฒ€์ •, ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๊ณ , ๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ ์—…๋ฌด ๋ชฉ์ ์˜ ํ†ต์‹ ๊ธฐ๊ธฐ ์‚ฌ์šฉ ๋นˆ๋„์— ๋”ฐ๋ฅธ ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ์˜ odds ratio๋ฅผ ๊ตฌํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ ์—…๋ฌด ๋ชฉ์ ์˜ ํ†ต์‹ ๊ธฐ๊ธฐ ์‚ฌ์šฉ ๋นˆ๋„์— ๋”ฐ๋ฅธ ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ์˜ odds ratio๋Š” โ€œ๋“œ๋ฌผ๊ฒŒโ€(odds ratio [OR]:1.292, 95% confidence interval [CI]:1.111-1. 503), โ€œํ•œ ๋‹ฌ์— ์—ฌ๋Ÿฌ ๋ฒˆโ€(OR:1.551, 95% CI:1.249-1.926), โ€œ์ผ์ฃผ์ผ์— ์—ฌ๋Ÿฌ ๋ฒˆโ€(OR:1.474, 95% CI:1.217-1.784), โ€œ๋งค์ผโ€(OR:1.548, 95% CI:1.321-1.813)๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.
๊ฒฐ๋ก 
๊ทผ๋ฌด์‹œ๊ฐ„ ์™ธ์— ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ํ†ตํ•ด ์—…๋ฌด ๊ด€๋ จ ์—ฐ๋ฝ์„ ๋ฐ›๋Š” ๊ทผ๋กœ์ž๋Š” ๊ทธ๋ ‡์ง€ ์•Š์€ ๊ทผ๋กœ์ž์— ๋น„ํ•ด ์—…๋ฌด ๊ด€๋ จ ๋‘ํ†ต/๋ˆˆ์˜ ํ”ผ๋กœ์˜ ์œ„ํ—˜์ด ๋” ํฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทผ๋ฌด ์‹œ๊ฐ„ ์™ธ ํ†ต์‹ ๊ธฐ๊ธฐ๋ฅผ ํ†ตํ•œ ์—…๋ฌด ์—ฐ๋ฝ ์ˆ˜์‹ ์ด ๊ทผ๋กœ์ž์˜ ์‹ ์ฒด์ , ์ •์‹ ์  ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์กฐ์‚ฌํ•œ ์—ฐ๊ตฌ๋Š” ์ œํ•œ์ ์ด๋ฉฐ, ๊ด€๋ จ ์˜ˆ๋ฐฉ ๋ฐ ์ค‘์žฌ ์กฐ์น˜ ๋˜ํ•œ ๋ฏธํกํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ํ•ด๋‹น ๋ถ„์•ผ์— ๋Œ€ํ•œ ํ›„์† ์—ฐ๊ตฌ ๋ฐ ์‹คํšจ์„ฑ ์žˆ๋Š” ๋Œ€์ฑ… ๋งˆ๋ จ์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค.

Citations

Citations to this article as recorded by  
  • Association between sudden work recall and psychological health issues: a cross-sectional analysis of the 6th Korean Working Conditions Survey
    Dong-Woo Kim, June-Hee Lee, In-Ho Lee, Kyung-Jae Lee
    Annals of Occupational and Environmental Medicine.2025; 37: e33.     CrossRef
  • Managing the Right to Disconnectโ€”A Scoping Review
    John Hopkins
    Sustainability.2024; 16(12): 4970.     CrossRef
  • 2,721 View
  • 37 Download
  • 2 Web of Science
  • 2 Crossref
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Editorial
Research misconduct using a ghostwriter in a paper-writing company
Kyunghee Jung-Choi
Ann Occup Environ Med 2023;35:e45.   Published online November 7, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e45
PDF

Citations

Citations to this article as recorded by  
  • The Black Market of Publications in Peru: Paper Mills and Authorship for Sale
    Joel Alhuayโ€Quispe, Victoria Yanceโ€Yupari
    Learned Publishing.2025;[Epub]     CrossRef
  • 1,373 View
  • 17 Download
  • 2 Web of Science
  • 1 Crossref
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Original Article
Dynamics of pre-shift and post-shift lung function parameters among wood workers in Ghana
John Ekman, Philip Quartey, Abdala Mumuni Ussif, Niklas Ricklund, Daniel Lawer Egbenya, Gideon Akuamoah Wiafe, Korantema Mawuena Tsegah, Akua Karikari, Hรฅkan Lรถfstedt, Francis Tanam Djankpa
Ann Occup Environ Med 2023;35:e39.   Published online September 12, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e39
AbstractAbstract PDF
Background

Diseases affecting the lungs and airways contribute significantly to the global burden of disease. The problem in low- and middle-income countries appears to be exacerbated by a shift in global manufacturing base to these countries and inadequate enforcement of environmental and safety standards. In Ghana, the potential adverse effects on respiratory function associated with occupational wood dust exposure have not been thoroughly investigated.

Methods

Sixty-four male sawmill workers and 64 non-woodworkers participated in this study. The concentration of wood dust exposure, prevalence and likelihood of association of respiratory symptoms with wood dust exposure and changes in pulmonary function test (PFT) parameters in association with wood dust exposure were determined from dust concentration measurements, symptoms questionnaire and lung function test parameters.

Results

Sawmill workers were exposed to inhalable dust concentration of 3.09 ยฑ 0.04 mg/m3 but did not use respirators and engaged in personal grooming habits that are known to increase dust inhalation. The sawmill operators also showed higher prevalence and likelihoods of association with respiratory symptoms, a significant cross-shift decline in some PFT parameters and a shift towards a restrictive pattern of lung dysfunction by end of daily shift. The before-shift PFT parameters of woodworkers were comparable to those of non-woodworkers, indicating a lack of chronic effects of wood dust exposure.

Conclusions

Wood dust exposure at the study site was associated with acute respiratory symptoms and acute changes in some PFT parameters. This calls for institution and enforcement of workplace and environmental safety policies to minimise exposure at sawmill operating sites, and ultimately, decrease the burden of respiratory diseases.


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  • Combined Assessment of Particulate Matter, Bioaerosols, and Pulmonary Function Tests for Evaluating Occupational Risks in Podiatrists
    Serap Arsal Yฤฑldฤฑrฤฑm, Beyhan Pekey, Levent Aydฤฑn, Ayfer Peker Karatoprak, Fetiye Kolaylฤฑ, Serap Argun BarฤฑลŸ, DoฤŸanhan Kadir Er, Eda Yazฤฑcฤฑ ร–zรงelik, Kozet Yapsakli
    Water, Air, & Soil Pollution.2025;[Epub]     CrossRef
  • Burden of chronic obstructive pulmonary disease in Ghana and globally from 1990 to 2021, with projections through 2050: a systematic analysis based on the Global Burden of Disease Study 2021
    Emmanuel Mensah, Min Liu, Lingling Pan, Wei Lu, Susheng Zhou, Liqin Zhang, Yusheng Cheng, Shuoshuo Wei, Lei Zha
    Frontiers in Medicine.2025;[Epub]     CrossRef
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  • 24 Download
  • 2 Web of Science
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Original Article
Incidence rates of injury, musculoskeletal, skin, pulmonary and chronic diseases among construction workers by classification of occupations in South Korea: a 1,027 subject-based cohort of the Korean Construction Workerโ€™s Cohort (KCWC)
Seungho Lee, Yoon-Ji Kim, Youngki Kim, Dongmug Kang, Seung Chan Kim, Se-Yeong Kim
Ann Occup Environ Med 2023;35:e26.   Published online July 24, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e26
AbstractAbstract AbstractAbstract in Korean PDFSupplementary Material
Background

The objective of this study is to investigate the differences in incidence rates of targeted diseases by classification of occupations among construction workers in Korea.

Methods

In a subject-based cohort of the Korean Construction Workerโ€™s Cohort, we surveyed a total of 1,027 construction workers. As occupational exposure, the classification of occupations was developed using two axes: construction business and job type. To analyze disease incidence, we linked survey data with National Health Insurance Service data. Eleven target disease categories with high prevalence or estimated work-relatedness among construction workers were evaluated in our study. The average incidence rates were calculated as cases per 1,000 person-years (PY).

Results

Injury, poisoning, and certain other consequences of external causes had the highest incidence rate of 344.08 per 1,000 PY, followed by disease of the musculoskeletal system and connective tissue for 208.64 and diseases of the skin and subcutaneous tissue for 197.87 in our cohort. We especially found that chronic obstructive pulmonary disease was more common in construction painters, civil engineering welders, and civil engineering frame mold carpenters, asthma in construction painters, landscape, and construction water proofers, interstitial lung diseases in construction water proofers.

Conclusions

This is the first study to systematically classify complex construction occupations in order to analyze occupational diseases in Korean construction workers. There were differences in disease incidences among construction workers based on the classification of occupations. It is necessary to develop customized occupational safety and health policies for high-risk occupations for each disease in the construction industry.

ํ•œ๊ตญ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž์˜ ์†์ƒ, ๊ทผ๊ณจ๊ฒฉ๊ณ„ ์งˆํ™˜, ํ”ผ๋ถ€, ํ˜ธํก๊ธฐ ๋ฐ ๋งŒ์„ฑ์งˆํ™˜์˜ ๊ฑด์„ค ์ง์ข…์— ๋”ฐ๋ฅธ ๋ฐœ์ƒ๋ฅ : ํ•œ๊ตญ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž ์ฝ”ํ˜ธํŠธ(KCWC) ์˜ 1027๋ช… ๋Œ€์ƒ์ž ๊ธฐ๋ฐ˜ ์„ธ๋ถ€ ์ฝ”ํ˜ธํŠธ ๋ถ„์„
๋ชฉ์ 
๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ํ•œ๊ตญ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž์— ์žˆ์–ด ์ฃผ์š” ์งˆํ™˜์˜ ๊ฑด์„ค ์ง์ข…๋ณ„ ๋ฐœ์ƒ๋ฅ  ์ฐจ์ด๋ฅผ ์•Œ์•„๋ณด๋Š” ๊ฒƒ์ด๋‹ค.
๋ฐฉ๋ฒ•
ํ•œ๊ตญ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž ์ฝ”ํ˜ธํŠธ(KCWC)์˜ ๋Œ€์ƒ์ž ๊ธฐ๋ฐ˜ ์„ธ๋ถ€ ์ฝ”ํ˜ธํŠธ๋กœ ์ด 1,027๋ช…์˜ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž๊ฐ€ 1:1๋ฉด์ ‘์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์ž…์ ๋˜์—ˆ๋‹ค. ์ง์—…์  ๋…ธ์ถœ์š”์ธ์œผ๋กœ ์ง์ข…์€ ํฌ๊ฒŒ ๊ฑด์„ค์‚ฐ์—…ํ™˜๊ฒฝ๊ณผ ์ง๋ฌด ๋‘ ๊ฐ€์ง€ ์ถ•์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๋‹ค: ์ง์—…์  ๋…ธ์ถœ(์„ค๋ฌธ์กฐ์‚ฌ) ์ž๋ฃŒ์™€ ๊ตญ๋ฏผ๊ฑด๊ฐ•๋ณดํ—˜๊ณต๋‹จ ์ฒญ๊ตฌ ๋งž์ถคํ˜• ์ž๋ฃŒ๋ฅผ ์—ฐ๊ณ„ํ•˜์—ฌ ์งˆํ™˜์˜ ํ‰๊ท  ๋ฐœ์ƒ๋ฅ ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ฃผ์š” ์งˆํ™˜์€ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž์—์„œ ์œ ๋ณ‘๋ฅ ์ด ๋†’๊ฑฐ๋‚˜ ์—…๋ฌด ๊ด€๋ จ์„ฑ์ด ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ถ”์ •๋˜๋Š” 11๊ฐœ์˜ ๋Œ€์ƒ ์งˆํ™˜์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์งˆํ™˜๋ณ„ ํ‰๊ท  ๋ฐœ์ƒ๋ฅ ์€ 1,000์ธ๋…„๋‹น ๋ฐœ๋ณ‘ ์‚ฌ๋ก€์ˆ˜(๋ช…)์œผ๋กœ ๊ณ„์‚ฐํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์†์ƒ, ์ค‘๋… ๋ฐ ์™ธ์ธ์— ์˜ํ•œ ํŠน์ • ๊ธฐํƒ€ ๊ฒฐ๊ณผ๊ฐ€ 1,000์ธ๋…„๋‹น 344.08๋ช…์œผ๋กœ ๊ฐ€์žฅ ๋†’์€ ๋ฐœ์ƒ๋ฅ ์„ ๋ณด์˜€๊ณ , ๊ทธ ๋‹ค์Œ์œผ๋กœ ๊ทผ๊ณจ๊ฒฉ๊ณ„ ๋ฐ ๊ฒฐ์ฒด์กฐ์ง์˜ ์งˆํ™˜์ด 1,000์ธ๋…„๋‹น 208.64๋ช…, ํ”ผ๋ถ€ ๋ฐ ํ”ผํ•˜์กฐ์ง ์งˆํ™˜์ด 1,000์ธ๋…•๋‹น 197.87๋ช… ์ˆœ์œผ๋กœ ๋†’์•˜๋‹ค. ํŠนํžˆ, ๋งŒ์„ฑ ํ์‡„์„ฑ ํ์งˆํ™˜์ด ๊ฑด์ถ• ๋„์žฅ๊ณต, ํ† ๋ชฉ ์šฉ์ ‘๊ณต, ํ† ๋ชฉ ํ˜•ํ‹€๋ชฉ๊ณต์—์„œ ํƒ€ ์ง์ข…์— ๋น„ํ•ด ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ๋ฐœ์ƒ๋ฅ ์„ ๋ณด์˜€๊ณ , ์ฒœ์‹์€ ๊ฑด์ถ• ๋„์žฅ๊ณต, ์กฐ๊ฒฝ, ๊ฑด์ถ• ๋ฐฉ์ˆ˜๊ณต์—์„œ, ๊ฐ„์งˆ์„ฑ ํ์งˆํ™˜์€ ๊ฑด์ถ• ๋ฐฉ์ˆ˜๊ณต์—์„œ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ๋ฐœ์ƒ๋ฅ ์„ ๋ณด์˜€๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž์˜ ์ฃผ์š” ์ง์—…์„ฑ ์งˆํ™˜ ๋ฐ ํ˜ธ๋ฐœ ์งˆํ™˜ ๋“ฑ์„ ๋ณต์žกํ•œ ๊ฑด์„ค์‚ฐ์—…์˜ ์ง์ข…์„ ์ฒด๊ณ„์ ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ๋ถ„์„ํ•œ ์ตœ์ดˆ์˜ ์—ฐ๊ตฌ๋กœ ์—ฐ๊ตฌ์ง„๋“ค์€ ๊ฑด์„ค์—… ์ข…์‚ฌ์ž์˜ ์งˆํ™˜๋ณ„ ๋ฐœ์ƒ๋ฅ ์— ์žˆ์–ด ์ง์ข…๋ณ„ ์ฐจ์ด๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฑด์„ค ์‚ฐ์—…์—์„œ ๊ฐ ์งˆํ™˜๋ณ„ ๊ณ ์œ„ํ—˜ ์ง์ข…๋ณ„๋กœ ๋งž์ถคํ˜• ์‚ฐ์—…์•ˆ์ „๋ณด๊ฑด์ •์ฑ… ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค.

Citations

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  • Occupational disease monitoring by the Korea Occupational Disease Surveillance Center: a narrative review
    Dong-Wook Lee, Inah Kim, Jungho Hwang, Sunhaeng Choi, Tae-Won Jang, Insung Chung, Hwan-Cheol Kim, Jaebum Park, Jungwon Kim, Kyoung Sook Jeong, Youngki Kim, Eun-Soo Lee, Yangwoo Kim, Inchul Jeong, Hyunjeong Oh, Hyeoncheol Oh, Jea Chul Ha, Jeehee Min, Chul
    The Ewha Medical Journal.2025;[Epub]     CrossRef
  • A systematic review and meta-analysis on the prevalence and demographic risk factors of work-related musculoskeletal disorders in construction workers
    Weiner Santos, Alejandro Lorente, Carmen Rojas, Rui Isidoro, Ana Dias, Gonzalo Mariscal, Ahmed Hamdy Zabady, Rafael Lorente
    Frontiers in Public Health.2025;[Epub]     CrossRef
  • Work Performance Among Workers without Disabilities after Industrial Accidents: A Longitudinal Study
    Chong Min Hong
    The Open Public Health Journal.2024;[Epub]     CrossRef
  • 3,968 View
  • 42 Download
  • 2 Web of Science
  • 3 Crossref
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Original Article
Association between discrimination in the workplace and insomnia symptoms
Suhwan Ju, Seong-Sik Cho, Jung Il Kim, Hoje Ryu, Hyunjun Kim
Ann Occup Environ Med 2023;35:e25.   Published online July 23, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e25
AbstractAbstract AbstractAbstract in Korean PDF
Background

In Korea, little research has focused on the relationship between discrimination in the workplace and sleep health. Thus, this study aims to investigate the association between such discriminatory experiences and insomnia, a common sleep disorder, using Korean employeesโ€™ data.

Methods

This study used data from the 6th Korea Working Conditions Survey. Discrimination experiences due to age, ethnic background, nationality, race, sex, religion, disability, sexual orientation, educational level, hometown, and employment status were investigated. The Minimal Insomnia Symptom Scale estimated insomnia symptoms. The association between discrimination experience and insomnia symptoms were analyzed using survey-weighted logistic regression analysis.

Results

Based on experiences of discrimination over the past 12 months, insomnia symptoms were associated with discrimination experience due to religion (odds ratio [OR]: 3.70; 95% confidential interval [CI]: 1.58โ€“8.69), sex (OR: 2.51; 95% CI: 1.87โ€“3.37), age (OR: 2.30; 95% CI: 1.88โ€“2.81), hometown (OR: 2.07; 95% CI: 1.44โ€“2.97), employment status (OR: 1.69; 95% CI: 1.37โ€“2.10), and educational level (OR: 1.67; 95% CI: 1.31โ€“2.14). Furthermore, the prevalence of insomnia symptoms increased with the number of discrimination experiences.

Conclusions

In this study, discrimination experiences due to religion, sex, age, hometown, employment status, and educational level were significantly associated with insomnia symptoms. Furthermore, as the number of discrimination experiences increased, so did the prevalence of insomnia. Preventing workplace discrimination may improve workersโ€™ sleep health.

์ง์žฅ์—์„œ์˜ ์ฐจ๋ณ„ ๊ฒฝํ—˜๊ณผ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
ํ•œ๊ตญ์—์„œ ์ฐจ๋ณ„ ๊ฒฝํ—˜๊ณผ ์ˆ˜๋ฉด ์žฅ์•  ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ๊ฑฐ์˜ ์—†์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์ง์žฅ์—์„œ์˜ ์ฐจ๋ณ„ ๊ฒฝํ—˜๊ณผ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์˜ ์—ฐ๊ด€์„ฑ์„ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์ด๋‹ค.
๋ฐฉ๋ฒ•
์ด ์—ฐ๊ตฌ๋Š” ์ œ6์ฐจ ๊ทผ๋กœํ™˜๊ฒฝ์กฐ์‚ฌ์˜ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋‚˜์ด, ์ถœ์‹ ๋ฏผ์กฑ, ๊ตญ์ , ์ธ์ข…, ์„ฑ, ์ข…๊ต, ์žฅ์• , ์„ฑ์  ์ง€ํ–ฅ์„ฑ, ํ•™๋ฒŒ, ์ถœ์‹  ์ง€์—ญ, ๊ณ ์šฉ ํ˜•ํƒœ ๋“ฑ ์ด 11๊ฐœ ์ข…๋ฅ˜์˜ ์ฐจ๋ณ„์— ๋Œ€ํ•œ ๊ฒฝํ—˜ ์œ ๋ฌด๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์ˆ˜๋ฉด ์žฅ์• ๋Š” minimal insomnia symptom scale (MISS)์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์˜ ์œ ๋ฌด๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋‘˜ ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐ€์ค‘์น˜๋ฅผ ์ด์šฉํ•œ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์ข…๊ต(odds ratio [OR], 3.70; 95% confidential interval [CI], 1.58โ€“8.69), ์„ฑ (OR, 2.51 ; 95% CI, 1.87โ€“3.37), ๋‚˜์ด (OR, 2.30 ; 95% CI, 1.88โ€“2.81), ์ถœ์‹  ์ง€์—ญ (OR, 2.07 ; 95% CI, 1.44โ€“2.97), ๊ณ ์šฉ ํ˜•ํƒœ (OR, 1.69 ; 95% CI, 1.37โ€“2.10), ํ•™๋ฒŒ (OR, 1.67 ; 95% CI, 1.31โ€“2.14)์— ๋Œ€ํ•œ ์ฐจ๋ณ„ ๊ฒฝํ—˜๊ณผ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ๊ฒฝํ—˜ํ•œ ์ฐจ๋ณ„์˜ ์ข…๋ฅ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ์˜ ์œ ๋ณ‘๋ฅ ์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ํ™•์ธ๋˜์—ˆ๋‹ค.
๊ฒฐ๋ก 
์ด ์—ฐ๊ตฌ์—์„œ ์ง์žฅ์—์„œ์˜ ์ข…๊ต, ์„ฑ๋ณ„, ๋‚˜์ด, ๊ณ ํ–ฅ, ๊ณ ์šฉ์ƒํƒœ, ๊ต์œก์ˆ˜์ค€์— ๋Œ€ํ•œ ์ฐจ๋ณ„ ๊ฒฝํ—˜๊ณผ ๋ถˆ๋ฉด์ฆ ์ฆ์ƒ ๊ฐ„์˜ ์—ฐ๊ด€์„ฑ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ง์žฅ์—์„œ์˜ ์ฐจ๋ณ„์„ ์˜ˆ๋ฐฉํ•จ์œผ๋กœ์จ ๊ทผ๋กœ์ž๋“ค์˜ ์ˆ˜๋ฉด ๊ฑด๊ฐ•์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.

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  • Gender discrimination in the workplace and the onset of problematic alcohol use among female wage workers: A longitudinal study in Korea
    Seong-Uk Baek, Jin-Ha Yoon, Jong-Uk Won
    Social Science & Medicine.2025; 379: 118183.     CrossRef
  • Joint Effects of Workplace and Everyday Discrimination on Sleep Disturbances:ย Aย 9-Year Prospective Cohort Study in U.S. Employees
    Sunny Liu, Timothy A. Matthews, Megan Guardiano, Elizabeth Rose Mayeda, Jian Li
    International Journal of Behavioral Medicine.2025;[Epub]     CrossRef
  • 2,225 View
  • 17 Download
  • 2 Web of Science
  • 2 Crossref
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Original Article
The relationship between shift work pattern and thyroid stimulating hormone in female workers
Hun Jeong, Chang Ho Chae, Jun Ho Lee, Hyo Won Chong
Ann Occup Environ Med 2023;35:e14.   Published online June 22, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e14
AbstractAbstract AbstractAbstract in Korean PDF
Background

Shift work is known to cause changes in the circadian rhythm of the human body and adversely affect not only physical health but also mental health. Some studies have demonstrated the correlation between shift work and thyroid stimulating hormone (TSH), a hormone that changes according to the diurnal rhythm, but few studies have reported the different TSH levels according to the shift work type. This study aimed to investigate changes in TSH according to the shift work type.

Methods

This study included 1,318 female workers who had a medical checkup at a university hospital in Changwon from 2015 to 2019. Shift work types were classified as non-shift work, regular 2 shifts, and irregular three shifts, and a TSH โ‰ฅ 4.2 mIU/L was defined as abnormal. A general linear model (GLM) was used to compare the TSH levels and the risk of subclinical hypothyroidism in each year, and a binary logistic analysis was performed using a generalized estimation equation (GEE) to compare the risk of subclinical hypothyroidism over the 5-year period.

Results

Of the 1,318 participants included in this study, 363, 711, and 244 were non-shift, two-shift, and irregular three-shift workers, respectively. In the GEE analysis, after adjusting for age, body mass index, smoking, and alcohol consumption, the odds ratios (ORs) were 1.81 (95% confidence interval [CI]: 1.15โ€“2.86; p = 0.011) in 2 shifts and 2.02 (95% CI: 1.23โ€“3.32; p = 0.006) in irregular three shifts, compared to non-shift.

Conclusions

Our results showed that shift work had a higher risk of subclinical hypothyroidism than non-shift work and that there was a significant difference in the risk of subclinical hypothyroidism according to the shift work type. These findings suggest that the shift work type can be considered in future thyroid function tests and evaluations.

์—ฌ์„ฑ๊ทผ๋กœ์ž์—์„œ ๊ต๋Œ€๊ทผ๋ฌด์œ ํ˜•๊ณผ ๊ฐ‘์ƒ์„  ์ž๊ทน ํ˜ธ๋ฅด๋ชฌ๊ณผ์˜ ์—ฐ๊ด€์„ฑ
๋ชฉ์ 
๊ต๋Œ€๊ทผ๋ฌด๋Š” ์ธ์ฒด์˜ ์ผ์ค‘๋ฆฌ๋“ฌ์— ๋ณ€ํ™”๋ฅผ ์ผ์œผํ‚ค๊ณ  ์‹ฌํ˜ˆ๊ด€ ์งˆํ™˜, ์†Œํ™”๊ธฐ ์งˆํ™˜ ๋ฐ ๋Œ€์‚ฌ์ฆํ›„๊ตฐ๊ณผ ๊ฐ™์€ ์‹ ์ฒด์  ๊ฑด๊ฐ• ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ˆ˜๋ฉด์žฅ์• , ์šฐ์šธ๊ฐ ๋“ฑ์„ ํฌํ•จํ•œ ์ •์‹ ๊ฑด๊ฐ•์—๋„ ์œ ํ•ดํ•œ ์˜ํ–ฅ์„ ๋ผ์น˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ์ผ์ค‘๋ฆฌ๋“ฌ์— ์˜ํ•ด ๋ณ€ํ™”ํ•˜๋Š” ํ˜ธ๋ฅด๋ชฌ ์ค‘ ํ•˜๋‚˜์ธ ๊ฐ‘์ƒ์„  ์ž๊ทน ํ˜ธ๋ฅด๋ชฌ(TSH)์˜ ๋†๋„๊ฐ€ ๊ต๋Œ€๊ทผ๋ฌด์™€์˜ ์—ฐ๊ด€์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ์—ฐ๊ตฌ๋“ค์ด ์žˆ์œผ๋‚˜ ๊ต๋Œ€๊ทผ๋ฌด ์œ ํ˜•์— ๋”ฐ๋ฅธ ์ฐจ์ด๋ฅผ ์‚ดํŽด๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต๋Œ€๊ทผ๋ฌด์˜ ์œ ํ˜•์— ๋”ฐ๋ฅธ TSH์˜ ๋ณ€ํ™”๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค.
๋ฐฉ๋ฒ•
2015๋…„๋ถ€ํ„ฐ 2019๋…„๊นŒ์ง€ ์ฐฝ์›์˜ ์ผ๊ฐœ ๋Œ€ํ•™๋ณ‘์›์˜ ๊ฑด๊ฐ•์ง„๋‹จ์„ ๋ฐ›์€ 1,318๋ช…์˜ ์—ฌ์„ฑ๊ทผ๋กœ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๊ต๋Œ€๊ทผ๋ฌด์œ ํ˜•์€ ๋น„๊ต๋Œ€๊ทผ๋ฌด, ๊ทœ์น™์  2๊ต๋Œ€ ๋ฐ ๋ถˆ๊ทœ์น™ 3๊ต๋Œ€๋กœ ๋ถ„๋ฅ˜ํ•˜์˜€์œผ๋ฉฐ TSH โ‰ฅ 4.2mIU/L์ธ ๊ฒฝ์šฐ ์ด์ƒ์ด ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์ •์˜ํ•˜์˜€๋‹ค. ์—ฐ๋„๋ณ„๋กœ TSH์˜ ๋†๋„๋ฅผ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ผ๋ฐ˜์„ ํ˜•๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ 5๋…„๊ฐ„์˜ ๋ถˆํ˜„์„ฑ ๊ฐ‘์ƒ์„ ๊ธฐ๋Šฅ์ €ํ•˜์ฆ์˜ ์œ„ํ—˜๋„๋ฅผ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ผ๋ฐ˜ํ™”์ถ”์ •๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ถ„ํ˜• ๋กœ์ง€์Šคํ‹ฑ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค.
๊ฒฐ๊ณผ
์—ฐ๊ตฌ ๋Œ€์ƒ์ž 1,318๋ช… ์ค‘ ๋น„๊ต๋Œ€๊ทผ๋ฌด์ž๋Š” ์ด 363๋ช…, 2๊ต๋Œ€ ๊ทผ๋ฌด์ž๋Š” ์ด 711๋ช…, ๋ถˆ๊ทœ์น™ 3๊ต๋Œ€ ๊ทผ๋ฌด์ž๋Š” ์ด 244๋ช…์ด์—ˆ๋‹ค. ์—ฐ๋ น, ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜(BMI), ํก์—ฐ, ์Œ์ฃผ๋ฅผ ๋ณด์ •ํ•˜๊ณ  ์ผ๋ฐ˜ํ™”์ถ”์ •๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ถ„ํ˜• ๋กœ์ง€์Šคํ‹ฑ ๋ถ„์„์„ ์‹œํ–‰ํ•œ ๊ฒฐ๊ณผ, ๋น„๊ต๋Œ€๊ทผ๋ฌด์ž๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•˜์˜€์„ ๋•Œ, OR์€ 2๊ต๋Œ€ ๊ทผ๋ฌด์ž์—์„œ 1.81(95% CI 1.15-2.86, P=0.011), ๋ถˆ๊ทœ์น™ 3๊ต๋Œ€ ๊ทผ๋ฌด์ž์—์„œ 2.02(95% CI 1.23-3.32, P=0.006)๋กœ ๋‚˜์™”๋‹ค.
๊ฒฐ๋ก 
๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๊ต๋Œ€๊ทผ๋ฌด๊ฐ€ ๋น„๊ต๋Œ€๊ทผ๋ฌด์— ๋น„ํ•ด ๋ถˆํ˜„์„ฑ ๊ฐ‘์ƒ์„ ๊ธฐ๋Šฅ์ €ํ•˜์ฆ์˜ ์œ„ํ—˜๋„๊ฐ€ ๋†’์•˜์œผ๋ฉฐ ๊ต๋Œ€๊ทผ๋ฌด์˜ ์œ ํ˜•์— ๋”ฐ๋ฅธ ๋ถˆํ˜„์„ฑ ๊ฐ‘์ƒ์„ ๊ธฐ๋Šฅ์ €ํ•˜์ฆ์˜ ์œ„ํ—˜๋„์— ์žˆ์–ด ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์ด๋Š” ์ด์ „ ์—ฐ๊ตฌ๋“ค์˜ ๊ฒฐ๊ณผ๋ฅผ ๋’ท๋ฐ›์นจํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ–ฅํ›„ ๊ฐ‘์ƒ์„  ๊ธฐ๋Šฅ ๊ฒ€์‚ฌ ๋ฐ ํ‰๊ฐ€์— ์žˆ์–ด ๊ต๋Œ€๊ทผ๋ฌด์˜ ์œ ํ˜•์ด ๊ณ ๋ ค๋Œ€์ƒ์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ๋‹ค.

Citations

Citations to this article as recorded by  
  • Night shift work and indicators of cardiovascular risk: A systematic review and meta-analysis
    Johanna Samulin Erdem, Mrinal K. Das, Evi De Ryck, ร˜ivind Skare, Jenny-Anne S. Lie, Merete Bugge, Barbara Harding, Ingrid L. Jorgensen, Ingrid Sivesind Mehlum, Manolis Kogevinas, Karl-Christian Nordby, Shan Zienolddiny-Narui
    Environmental Research.2025; 276: 121503.     CrossRef
  • Age-Related Features of the Function of the Hypothalamicโ€”Pituitaryโ€”Thyroid (HPT) Axis in Nonhuman Primates under Constant Lighting
    N. D. Goncharova, A. M. Ermolaeva, O. A. Chigarova, T. E. Oganyan, N. V. Timoshenko
    Bulletin of Experimental Biology and Medicine.2024; 177(5): 592.     CrossRef
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