Skip Navigation
Skip to contents

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
11 "Diabetes"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Article
The effect of long working hours on developing type 2 diabetes in adults with prediabetes: The Kangbuk Samsung Cohort Study
Eunhye Seo, Yesung Lee, Eunchan Mun, Dae Hoon Kim, Youshik Jeong, Jaehong Lee, Jinsook Jeong, Woncheol Lee
Ann Occup Environ Med 2022;34:e4.   Published online March 14, 2022
DOI: https://doi.org/10.35371/aoem.2022.34.e4
AbstractAbstract AbstractAbstract in Korean PDFSupplementary MaterialPubReaderePub
Background

Long working hours are known to account for approximately one-third of the total expected work-related diseases, and much interest and research on long working hours have recently been conducted. Additionally, as the prevalence of prediabetes and the high-risk group for diabetes are increasing worldwide, interest in prediabetes is also rising. However, few studies have addressed the development of type 2 diabetes and long working hours in prediabetes. Therefore, the aim of this longitudinal study was to evaluate the relationship between long working hours and the development of diabetes in prediabetes.

Methods

We included 14,258 prediabetes participants with hemoglobinA1c (HbA1c) level of 5.7 to 6.4 in the Kangbuk Samsung Cohort Study. According to a self-reported questionnaire, we evaluated weekly working hours, which were categorized into 35–40, 41–52, and > 52 hours. Development of diabetes was defined as an HbA1c level ≥ 6.5%. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the development of diabetes were estimated using Cox proportional hazards analyses with weekly working 35–40 hours as the reference.

Results

During a median follow-up of 3.0 years, 776 participants developed diabetes (incidence density, 1.66 per 100 person-years). Multivariable-adjusted HRs of development of diabetes for weekly working > 52 hours compared with working 35–40 hours were 2.00 (95% CI: 1.50–2.67). In subgroup analyses by age (< 40 years old, ≥ 40 years old), sex (men, women), and household income (< 6 million KRW, ≥ 6 million KRW), consistent and significant positive associations were observed in all groups.

Conclusions

In our large-scale longitudinal study, long working hours increases the risk of developing diabetes in prediabetes patients.

당뇨전단계 성인의 제 2형 당뇨로 진행에 대한 장시간 근무의 영향: 강북삼성 코호트 연구
목적
이 연구의 목적은 당뇨전단계라는 고위험그룹에서 장시간 노동과 당뇨로의 진행 사이의 관계를 종단적 연구로 평가하는 것이다.
방법
연구는 강북 삼성 종합 건진 센터에서 2012년 1월 1일부터 2018년 12월 31 일 사이에 최소 두번의 건강검진을 받은 수검자 중, HbA1c 수치가 5.7~6.4인 당뇨전단계 기준을 만족하는 14,258명을 포함했다. 참가자들은 자체 보고된 설문지를 사용하여 3개 그룹 (35-40시간, 41-52시간 및 >52시간)으로 나뉘었고 당뇨로의 진행은 HbA1c 수치 ≥6.5%로 정의되었다. 당뇨 발병에 대한 위험 비율(HR) 및 95% 신뢰 구간(CI)은 주당 35-40시간 근무하는 그룹을 기준으로 Cox 비례 위험 분석을 사용하여 추정되었다.
결과
중앙값 3.0년의 추적 기간 동안 776명의 참가자가 당뇨(발병률, 100인년당 1.66)로 발전했습니다. 주당 근무시간이 35-40시간인 그룹과 비교하여 52시간 초과 근무한 그룹의 다 변수 조정 당뇨 발생 위험비율은 2.00(95% 신뢰구간 [1.50–2.67])이었다. 연령(40세 미만, 40세 이상), 성별(남성, 여성) 및 가계 소득(600만원, 600만원)에 따른 하위 그룹 분석에서 모든 그룹에서 일관되고 유의한 연관성이 관찰되었다.
결론
이 대규모 종단 연구는 당뇨전단계에서 긴 근무 시간이 당뇨 발병과 관련이 있음을 보여주었다.

Citations

Citations to this article as recorded by  
  • 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
  • Working Hours, Shift, and Remote Work by Industry and Occupation in U.S. Full-time Workers
    Guang X. Chen
    Workplace Health & Safety.2024; 72(9): 392.     CrossRef
  • 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
    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • Investigating medication adherence among Taiwanese patient with hypertension, hyperlipidemia, and diabetes: A pilot study using the Chinese version of a Two-Part Medication Nonadherence Scale and the NHI MediCloud system
    Ya-Wen Lin, Pei-Chun Chen, Che-Huei Lin, Ming-Hung Lin, Fadwa Alhalaiqa
    PLOS ONE.2024; 19(7): e0304442.     CrossRef
  • Relationship between Marriage and Prediabetes among Healthcare Workers: Mediating Effect of Triglycerides
    Yong-Hsin Chen, Jia-June Lin, Hsiu-Mei Tang, Ching-Wen Yang, Gwo-Ping Jong, Yi-Sun Yang
    Medicina.2024; 60(9): 1418.     CrossRef
  • Association between long working hours and metabolic dysfunction–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
  • Working hours and the onset of suicidal ideation and depressive symptoms: A 10-year nationwide longitudinal study in South Korea (2012–2022)
    Seong-Uk Baek, Min-Seok Kim, Myeong-Hun Lim, Taeyeon Kim, Jong-Uk Won, Jin-Ha Yoon
    Psychiatry Research.2023; 326: 115344.     CrossRef
  • Association between long working hours and physical inactivity in middle-aged and older adults: a Korean longitudinal study (2006–2020)
    Seong-Uk Baek, Won-Tae Lee, Min-Seok Kim, Myeong-Hun Lim, Jin-Ha Yoon, Jong-Uk Won
    Journal of Epidemiology and Community Health.2023; 77(6): 355.     CrossRef
  • The Korea Cohort Consortium: The Future of Pooling Cohort Studies
    Sangjun Lee, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Sun Ha Jee, Aesun Shin, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seungho Ryu, Sun Young Yang, Seung Ho Choi, Jeongseon Kim, Sang-Wook Yi, Daehee Kang, Keun-Young Yoo, Sue K. Park
    Journal of Preventive Medicine and Public Health.2022; 55(5): 464.     CrossRef
  • 535 View
  • 4 Download
  • 9 Web of Science
  • 9 Crossref
Close layer
Original Article
Association between urinary trans,trans-muconic acid and diabetes: a cross-sectional analysis of data from Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015–2017)
Eun Hye Yang, Do Jin Nam, Hyo Choon Lee, Soon Su Shin, Jae-Hong Ryoo
Ann Occup Environ Med 2021;33:e35.   Published online December 6, 2021
DOI: https://doi.org/10.35371/aoem.2021.33.e35
AbstractAbstract AbstractAbstract in Korean PDFSupplementary MaterialPubReaderePub
Background

Benzene is a ubiquitous air pollutant that is well known to cause hematopoietic effects in humans including leukemia. Recently, several studies have discussed its non-carcinogenic effects such as diabetes. This study aimed to investigate the association between diabetes and urinary trans,trans-muconic acid (t,t-MA), one of benzene metabolite, using adult data from Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015–2017).

Methods

This study analyzed 3,777 adults (1,645 men and 2,132 women) from the KoNEHS cycle 3 (2015–2017). The distribution and fraction of each independent variable were presented separately according to the urinary benzene metabolite levels (t,t-MA quartiles) and diabetes to determine the general characteristics of the subjects. Odds ratios (ORs) were calculated using logistic regression after stratification by gender and smoking status to identify the association between urinary t,t-MA and diabetes.

Results

Compared with the first quartile (reference), the risk of diabetes significantly increased above the 4th (1.834 [1.107–3.039]) quartile in men and above the 3rd (1.826 [1.095–3.044]) and 4th (2.243 [1.332–3.776]) quartiles in women after adjustment. Stratified analysis based on smoking revealed that the ORs for the 3rd (1.847 [1.146–2.976]) and 4th (1.862 [1.136–3.052]) quartiles in non-smokers and those for the 2nd (1.721 [1.046–2.832]), 3rd (1.797 [1.059–3.050]), and 4th (2.546 [1.509–4.293]) quartiles in smokers were significantly higher.

Conclusions

We confirmed that urinary t,t-MA is significantly associated with diabetes regardless of gender and smoking status. And further studies are necessary to access the clinical impacts of this findings.

소변 내 뮤콘산 농도와 당뇨의 연관성 : 제 3기 국민환경보건기초조사(2015-2017)를 이용한 단면연구
목적
본 연구는 일반인구집단을 대상으로 환경적인 벤젠 노출과 당뇨와의 연관성을 알아보기 위해 제 3기 국민환경보건기초조사 성인 데이터를 이용하여 벤젠 대사물질 중 하나인 소변 내 뮤콘산의 농도와 당뇨와의 관계를 알아보았다.
방법
제 3기 국민환경보건기초조사 성인 3,777명(남성 1,645명, 여성 2,132명)을 분석하였다. 대상자의 일반적인 특성을 확인하기 위해 각 독립변수의 분포 및 분율을 소변 내 뮤콘산 농도(사분위수)와 당뇨유무에 따라 제시하였다. 소변 내 뮤콘산 농도와 당뇨와의 연관성을 알아보기 위해 성별과 흡연으로 각각 층화 후 로지스틱 회귀분석을 사용하여 오즈비를 구하였다.
결과
보정 후, 남성은 제 4사분위 구간 1.834(1.106-3.039), 여성은 제 3사분위 구간 1.825(1.095-3.044), 제 4사분위 구간 2.241(1.331-3.773)에서 오즈비가 유의하게 증가하였으며, 소변 내 뮤콘산 농도가 증가할수록 당뇨위험이 증가하는 경향성을 보였다. 흡연으로 층화 후 분석한 결과 비흡연자의 경우 제 3분위수 1.847(1.146-2.976), 제 4분위수 1.861(1.135-3.050), 흡연자의 경우 제 2분위수 1.721(1.046-2.832), 제 3분위수 1.796(1.058-3.048), 제 4분위수 2.544(1.509-4.291)가 보정 후 통계적으로 유의하였다.
결론
본 연구에서 벤젠 대사체인 소변 내 뮤콘산 농도가 성별과 흡연 상태에 관계없이 당뇨와 유의하게 관련이 있다는 것을 확인하였으며, 추후 환경적인 벤젠 노출에 대한 당뇨 연관성에 대하여 연구가 필요하다.

Citations

Citations to this article as recorded by  
  • Association Between Benzene and Other Volatile Organic Compounds Exposure and Diabetes Mellitus Among Korean Adults: Findings from the Nationwide Biomonitoring Data
    Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
    Exposure and Health.2024;[Epub]     CrossRef
  • Distribution of volatile organic compounds by distance from industrial complexes and potential health impact on the residents
    A Ram Kim, Jin-Hee Bang, Sunghee Lee, Chang Sun Sim, Yangho Kim, Jiho Lee
    International Journal of Environmental Health Research.2024; : 1.     CrossRef
  • Association of Urinary Benzene Metabolite and the Ratio of Triglycerides to High-Density Lipoprotein Cholesterol: A Cross-Sectional Study Using the Korean National Environmental Health Survey (2018–2020)
    Seungju Baek, Eunjung Park, Eun Young Park
    Toxics.2023; 11(12): 985.     CrossRef
  • Exploration of an Area with High Concentrations of Particulate Matter and Biomonitoring Survey of Volatile Organic Compounds among the Residents
    Hyunji Ju, Seungho Lee, Jae-Hee Min, Yong-Sik Hwang, Young-Seoub Hong
    Journal of Environmental Health Sciences.2023; 49(6): 344.     CrossRef
  • Association of metabolites of benzene and toluene with lipid profiles in Korean adults: Korean National Environmental Health Survey (2015–2017)
    Soon Su Shin, Eun Hye Yang, Hyo Choon Lee, Seong Ho Moon, Jae-Hong Ryoo
    BMC Public Health.2022;[Epub]     CrossRef
  • 240 View
  • 0 Download
  • 4 Web of Science
  • 5 Crossref
Close layer
Research Article
Relationship between urinary phthalate metabolites and diabetes: Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015–2017)
Do Jin Nam, Yeji Kim, Eun Hye Yang, Hyo Choon Lee, Jae-Hong Ryoo
Ann Occup Environ Med 2020;32:e34.   Published online September 18, 2020
DOI: https://doi.org/10.35371/aoem.2020.32.e34
AbstractAbstract PDFPubReaderePub
Background

We aimed to determine relationship diabetes according to urinary phthalate metabolites using adult data from Korean National Environmental Health Survey cycle 3 (2015–2017).

Method

This study was conducted on 3,781 adults aged 19 years and older (1,648 men and 2,133 women) based on KoNEHS cycle 3. Participants' data were analyzed by gender; Relationship between phthalate metabolites in the urine and diabetes was analyzed by dividing the sociodemographic variables, health behavior-related variables, and urinary phthalate metabolite concentrations into quartiles. To determine the relationship between urinary phthalate metabolites and the prevalence of diabetes, the odds ratio (OR) was calculated using logistic regression analysis.

Results

Based on the 1st quartile of each metabolite, the ORs for di-2-ethylhexyl phthalate (DEHP) (4th quartile), mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) (2nd quartile, 3rd quartile and 4th quartile), mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) (4th quartile), mono-(2-ethyl-5-carboxypentyl) phthalate (MECCP) (4th quartile), mono-n-butyl phthalate (MnBP) (3rd quartile and 4th quartile), mono-benzyl phthalate (MBzP) (2nd quartile) and 4th quartile), and mono (3-carboxypropyl) phthalate (MCPP) (3rd quartile and 4th quartile) were significantly higher after the adjustment in men. The ORs for DEHP (2nd quartile, 3rd quartile and 4th quartile), MEHHP (2nd quartile, 3rd quartile and 4th quartile), MEOHP (4th quartile), MECCP (4th quartile), MBzP (4th quartile), and MCPP (4th quartile) were significantly higher after the adjustment in women.

Conclusion

This study investigated relationship between urinary phthalate metabolites and diabetes. The higher urinary phthalate metabolites, the higher the prevalence of diabetes. Further regulation of phthalate may be needed, and further studies are warranted to confirm the association between phthalate concentration and other chronic diseases (such as hypertension, hyperlipidemia, and cardiovascular disease).


Citations

Citations to this article as recorded by  
  • Relationship between endocrine disrupting chemicals (phthalate metabolites, triclosan and bisphenols) and vitamin D in female subjects: An exploratory pilot study
    Edwina Brennan, Alexandra E. Butler, Manjula Nandakumar, Kristie Thompson, Thozhukat Sathyapalan, Stephen L. Atkin
    Chemosphere.2024; 349: 140894.     CrossRef
  • Association of Multiple Urinary Phthalates Metabolites with Diabetes Risk in Elderly Population
    Yue Wang, Jiaoyang Chen, Jingang Shi, Zhixin Zhao, Jiamei Chen, Ye Deng, Tianyun Wang, Yuting Wang, Yuting Xiang, Miao He
    Environment & Health.2024; 2(3): 140.     CrossRef
  • Endoplasmic reticulum stress and pro-inflammatory responses induced by phthalate metabolites monoethylhexyl phthalate and monobutyl phthalate in 1.1B4 pancreatic beta cells
    Fulya Dal Yöntem, Sinem Ayaz, Şeyma Bulut, Ebru Hacıosmanoğlu Aldoğan, Müfide Aydoğan Ahbab
    Toxicology.2024; 501: 153695.     CrossRef
  • The mitochondrial link: Phthalate exposure and cardiovascular disease
    Shama Prasada Kabekkodu, Lauren Rae Gladwell, Mahua Choudhury
    Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.2024; 1871(4): 119708.     CrossRef
  • Association of phthalate exposure with all-cause mortality across renal function status: The U.S. National Health and Nutrition Examination Survey, 2005–2018
    Hao-Wei Tao, Wen-Wen Han, Yu-Jie Liu, Hong-Zhen Du, Zeng-Ning Li, Li-Qiang Qin, Guo-Chong Chen, Jing-Si Chen
    Ecotoxicology and Environmental Safety.2024; 270: 115881.     CrossRef
  • Potential mechanisms and modifications of dietary antioxidants on the associations between co-exposure to plastic additives and diabetes
    Yang Yang, Cheng Zhang, Hui Gao
    Nutrition & Diabetes.2024;[Epub]     CrossRef
  • Food contaminants and potential risk of diabetes development: A narrative review
    Maja Milanović, Nataša Milošević, Nataša Milić, Milica Medić Stojanoska, Edward Petri, Jelena Marković Filipović
    World Journal of Diabetes.2023; 14(6): 705.     CrossRef
  • The Hidden Threat: Endocrine Disruptors and Their Impact on Insulin Resistance
    Mehak Dagar, Priya Kumari, Agha Muhammad Wali Mirza, Shivani Singh, Noor U Ain, Zainab Munir, Tamleel Javed, Muhammad Furqan Ismat Virk , Saleha Javed, Farwa Haider Qizilbash, Anil KC, Chukwuyem Ekhator , Sophia B Bellegarde
    Cureus.2023;[Epub]     CrossRef
  • The Relationship between Phthalates and Diabetes: A Review
    Melissa Mariana, Elisa Cairrao
    Metabolites.2023; 13(6): 746.     CrossRef
  • Endocrine disruptors in plastics alter β-cell physiology and increase the risk of diabetes mellitus
    Juan Martínez-Pinna, Roberto Sempere-Navarro, Regla M. Medina-Gali, Esther Fuentes, Ivan Quesada, Robert M. Sargis, Leonardo Trasande, Angel Nadal
    American Journal of Physiology-Endocrinology and Metabolism.2023; 324(6): E488.     CrossRef
  • Phthalates’ exposure leads to an increasing concern on cardiovascular health
    Melissa Mariana, Miguel Castelo-Branco, Amadeu M. Soares, Elisa Cairrao
    Journal of Hazardous Materials.2023; 457: 131680.     CrossRef
  • Engineering metalized surface of single hair via electroless Cu-plating strategy for self-supported nonenzymatic glucose sensor
    Kunpeng Qian, Yanfang Xu, Miao Miao, Dongmei Deng, Liqiang Luo, Xin Feng
    Journal of Materials Science.2023; 58(38): 15074.     CrossRef
  • A Pilot Study: Nails as a Non-invasive Biospecimen of Human Exposure to Phthalate Esters
    Chao Li, Yucheng Jin, Shen Xu, Huan He
    Bulletin of Environmental Contamination and Toxicology.2022; 108(5): 963.     CrossRef
  • Association between exposure to chemical mixtures in relation to serum total IgE among adults 19–86 years old
    Hai Duc Nguyen, Hojin Oh, Min-Sun Kim
    International Immunopharmacology.2022; 102: 108428.     CrossRef
  • Urinary phthalate concentrations and mortality risk: A population-based study
    Anika Beyer, Paula Schorgg, Nena Karavasiloglou, Sneha Sarwar, Sabine Rohrmann, Till Bärnighausen, Aedin Cassidy, Lisa Connolly, Tilman Kühn
    Environmental Research.2022; 214: 113927.     CrossRef
  • Urinary bisphenol concentrations and its association with metabolic disorders in the US and Korean populations
    Ji Yoon Choi, Jiyun Lee, Da-An Huh, Kyong Whan Moon
    Environmental Pollution.2022; 295: 118679.     CrossRef
  • Mixtures modeling identifies heavy metals and pyrethroid insecticide metabolites associated with obesity
    Hai Duc Nguyen, Hojin Oh, Won Hee Jo, Ngoc Hong Minh Hoang, Min-Sun Kim
    Environmental Science and Pollution Research.2022; 29(14): 20379.     CrossRef
  • Phthalate exposure and risk of diabetes mellitus: Implications from a systematic review and meta-analysis
    Hong Zhang, Yujie Ben, Yonghe Han, Yong Zhang, Yu Li, Xinwang Chen
    Environmental Research.2022; 204: 112109.     CrossRef
  • Association between urinary trans,trans-muconic acid and diabetes: a cross-sectional analysis of data from Korean National Environmental Health Survey (KoNEHS) cycle 3 (2015–2017)
    Eun Hye Yang, Do Jin Nam, Hyo Choon Lee, Soon Su Shin, Jae-Hong Ryoo
    Annals of Occupational and Environmental Medicine.2021;[Epub]     CrossRef
  • 314 View
  • 0 Download
  • 22 Web of Science
  • 19 Crossref
Close layer
Research Article
Effect of night shift work on the control of hypertension and diabetes in workers taking medication
Juha Park, Sang-Yeop Shin, Yangwon Kang, Jeongbae Rhie
Ann Occup Environ Med 2019;31:e27.   Published online October 10, 2019
DOI: https://doi.org/10.35371/aoem.2019.31.e27
AbstractAbstract PDFPubReaderePub
Background

Night shift work induces physiological and psychological stress by altering sleep and biological rhythms and is associated with hypertension, diabetes, obesity, and cardiovascular diseases. Few studies have been conducted on the control of hypertension and diabetes. This study aimed to examine the effect of night shift work on the control rate of hypertension and diabetes.

Methods

Subjects comprised workers aged 20–65 years who underwent specific health examination at a single facility in seven different affiliated examination centers from 1 January to 31 December 2016. Workers were categorised into day workers and night shift workers. Demographic and medical history were taken, and physical examination was done. Blood pressure (BP) and fasting glucose were measured. The control rate of each disease was evaluated based on treatment goals presented in the treatment guidelines of the Korean Society of Hypertension and the Korean Diabetes Association (systolic BP < 140 mmHg and diastolic BP < 90 mmHg; fasting glucose ≤ 130 mg/dL).

Results

Among 631,418 subjects, 11.2% (70,450) were night shift workers. Of whom 6.1% (4,319) were taking antihypertensive medication and 2.5% (1,775) were taking diabetes medication. Among patients taking antihypertensive medications, the proportion of those whose BP was controlled to suit treatment goals was 81.7% (26,635) of day workers and 77.4% (3,343) of night shift workers, which was significantly different (p < 0.001). Among patients taking diabetes medications, the proportion of those whose blood glucose was controlled to suit treatment goals was 37.4% (4,489) of day workers and 36.5% (647) of night shift workers, but the difference was not significant. The control rates for patients taking antihypertensive medications (odds ratio [OR]: 0.74, 95% confidence interval [CI]: 0.68–0.80) were lower among night shift workers than day workers with adjustment for age, sex, smoking history, alcohol consumption, exercise, and obesity. However, there were no differences in control rates for patients taking diabetes medications (OR: 0.99, 95% CI: 0.87–1.10) between day workers and night shift workers.

Conclusions

Night shift work can have an effect on the uncontrolled BP in workers taking antihypertensive medications. Therefore, additional efforts for disease control are necessary for night shift workers with hypertension.


Citations

Citations to this article as recorded by  
  • Circadian light/dark cycle reversal exacerbates the progression of chronic kidney disease in mice
    Jiayang Zhang, Lejia Qiu, Zhaiyi Liu, Jiaxin Liu, Bo Yu, Chengcheng Liu, Baoyin Ren, Jiaqi Zhang, Shuyao Li, Youfei Guan, Feng Zheng, Guangrui Yang, Lihong Chen
    Journal of Pineal Research.2024;[Epub]     CrossRef
  • Nighttime administration of antihypertensive medication: a review of chronotherapy in hypertension
    Hyun-Jin Kim, Sang-Ho Jo
    The Korean Journal of Internal Medicine.2024; 39(2): 205.     CrossRef
  • Workplace Hazards and Occupational Risk Assessment for Automotive Industry Workers
    Elvira T. Valeeva, Rasima R. Galimova, Albina A. Distanova, Aleksandr S. Shastin, Anastasia F. Saitova
    ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT.2024; : 58.     CrossRef
  • Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study
    Byeong-Jin Ye
    Healthcare.2023; 11(6): 802.     CrossRef
  • Factors Associated With Elevated Blood Pressure in Nursing Workers
    Vivian de Moraes Coelho, Camila Oliveira Sinhoroto, Patrícia Magnaboso, Maria Beatriz Guimarães Raponi, Maria Angélica Melo e Oliveira, Omar Pereira de Almeida, Valéria Nasser Figueiredo
    International Journal of Cardiovascular Sciences.2023;[Epub]     CrossRef
  • Fatigue and its impact on performance and health
    Ceri Sutherland, Aidan Smallwood, Tom Wootten, Nancy Redfern
    British Journal of Hospital Medicine.2023; 84(2): 1.     CrossRef
  • Toward Precision Medicine: Circadian Rhythm of Blood Pressure and Chronotherapy for Hypertension - 2021 NHLBI Workshop Report
    Michelle L. Gumz, Daichi Shimbo, Marwah Abdalla, Ravi C. Balijepalli, Christian Benedict, Yabing Chen, David J. Earnest, Karen L. Gamble, Scott R. Garrison, Ming C. Gong, John B. Hogenesch, Yuling Hong, Jessica R. Ivy, Bina Joe, Aaron D. Laposky, Mingyu L
    Hypertension.2023; 80(3): 503.     CrossRef
  • Seeking Treatment Profile of Male Shift Workers With Hypertension and Diabetes
    Nuri Purwito Adi, Tomohisa Nagata, Koji Mori, Tatsuhiko Kubo, Kenji Fujimoto, Makoto Ohtani, Kiminori Odagami, Masako Nagata, Shigeyuki Kajiki, Yoshihisa Fujino, Shinya Matsuda
    Journal of Occupational & Environmental Medicine.2023; 65(9): 783.     CrossRef
  • Circadian Rhythms Disrupted by Light at Night and Mistimed Food Intake Alter Hormonal Rhythms and Metabolism
    O. Hecmarie Meléndez-Fernández, Jennifer A. Liu, Randy J. Nelson
    International Journal of Molecular Sciences.2023; 24(4): 3392.     CrossRef
  • Consequences of Shift Work and Night Work: A Literature Review
    Isabel Silva, Daniela Costa
    Healthcare.2023; 11(10): 1410.     CrossRef
  • Relationship between circadian disturbance and hypertension
    Yinuo Cai
    Highlights in Science, Engineering and Technology.2023; 54: 314.     CrossRef
  • Effect of night shift on development of metabolic syndrome among health care workers
    Jyotirmayee Bahinipati, Rajlaxmi Sarangi, Mona Pathak, Srikrushna Mohapatra
    Journal of Family Medicine and Primary Care.2022; 11(5): 1710.     CrossRef
  • Circadian rhythms and renal pathophysiology
    Rajesh Mohandas, Lauren G. Douma, Yogesh Scindia, Michelle L. Gumz
    Journal of Clinical Investigation.2022;[Epub]     CrossRef
  • A cross‐sectional study of the interaction between night shift frequency and age on hypertension prevalence among female nurses
    Bin Zhao, Jing Li, Yun Li, Jie Liu, Di Feng, Yuming Hao, Yanjie Zhen, Xiaoran Hao, Menghui Xu, Ximin Chen, Xiulan Yang, Aifang Zuo, Rufu Jia, Ruiqin Zhang, Ailing Fan, Yun Wang, Meijin Yuan, Li Tong, Shuling Chen, Jing Cui, Meizhu Zhao, Wei Cui
    The Journal of Clinical Hypertension.2022; 24(5): 598.     CrossRef
  • Ingestion-time differences in the pharmacodynamics of hypertension medications: Systematic review of human chronopharmacology trials
    Ramón C. Hermida, Ramón G. Hermida-Ayala, Michael H. Smolensky, Artemio Mojón, José R. Fernández
    Advanced Drug Delivery Reviews.2021; 170: 200.     CrossRef
  • Work-related factors among people with diabetes and the risk of cardiovascular diseases: A systematic review
    K M Saif-Ur-Rahman, Razib Mamun, Yuanying Li, Masaaki Matsunaga, Atsuhiko Ota, Hiroshi Yatsuya
    Journal of Occupational Health.2021;[Epub]     CrossRef
  • Shift Work and Cardiovascular Disease
    Samime ŞARLI GÜNDÜZ, Selma Arzu VARDAR
    Sakarya Medical Journal.2021;[Epub]     CrossRef
  • Trabalho noturno e pressão arterial: um estudo com foco nas doses de exposição
    Aline Silva-Costa, Bruna Pereira Braz, Rosane Härter Griep, Lúcia Rotenberg
    Revista Brasileira de Saúde Ocupacional.2021;[Epub]     CrossRef
  • Night Work and Its Health Effects: Focusing on the Relevant Laws and Regulations of the Republic of Korea
    Won-Ju Park
    Journal of Sleep Medicine.2021; 18(1): 1.     CrossRef
  • Effect of Sleep Disturbances on Blood Pressure
    Nour Makarem, Carmela Alcántara, Natasha Williams, Natalie A. Bello, Marwah Abdalla
    Hypertension.2021; 77(4): 1036.     CrossRef
  • 211 View
  • 2 Download
  • 15 Web of Science
  • 20 Crossref
Close layer
Research Article
The effect of diabetes on 4-year changes of hearing thresholds in male workers exposed to noise in a single company: a longitudinal study
Dae Yun Kim, A Ram Kim, Joo Hyun Sung, Choong Ryeol Lee, Jiho Lee
Ann Occup Environ Med 2019;31:e11.   Published online June 28, 2019
DOI: https://doi.org/10.35371/aoem.2019.31.e11
AbstractAbstract PDFPubReaderePub
Background

Recently, several studies have assessed the association between diabetes and hearing impairment. However, the effect of diabetes on hearing impairment is not well known in diabetic patients exposed to noise, a typical cause of hearing impairment. The aim of this study is to longitudinally analyze the effect of diabetes on hearing impairment in workers exposed to similar noise levels from 2013 to 2017 who had experienced little change in their working conditions.

Methods

The study subjects included 2,087 male workers exposed to noise in a single company and who underwent health examinations at the same hospital in Ulsan city in 2013 and 2017. Hearing impairment was defined that a pure-tone average of pure-tone audiometry (PTA) thresholds at 1,000, 2,000, 3,000, and 4,000 Hz was 25 dB and over in both ears. Statistical analyses were conducted using χ2 tests, ANOVA, and Cox proportional hazard models. We analyzed covariates that might affect hearing impairment, including age; working period; levels of total cholesterol, triglyceride, and serum creatinine; smoking and alcohol history; and noise level.

Results

The average PTA thresholds and their average changes between 2013 and 2017 were significant in the diabetes mellitus (DM) group than those in the normal and impaired fasting glucose group. Among the subjects with the same status of fasting glucose group in 2013 and 2017, the adjusted hazard ratios for incident hearing impairment among those in the DM group compared to normal group were 3.35 (95% confidence interval [CI], 1.54–7.29) in the left ear and 5.66 (95% CI, 2.01–15.98) in the right ear.

Conclusions

This study suggested that the risk of hearing impairment in the DM group was significantly higher than that in the normal group in both ears, even when exposed to similar noise levels.


  • 143 View
  • 0 Download
Close layer
Research Article
Association of arsenobetaine with beta-cell function assessed by homeostasis model assessment (HOMA) in nondiabetic Koreans: data from the fourth Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2009
Kiook Baek, Namhoon Lee, Insung Chung
Ann Occup Environ Med 2017;29:31.   Published online July 10, 2017
DOI: https://doi.org/10.1186/s40557-017-0181-0
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Background

Arsenic is known as an endocrine disruptor that people are exposed to through various sources such as drinking water and indigestion of marine products. Although some epidemiological and animal studies have reported a correlation between arsenic exposure and diabetes development, there are limited studies regarding the toxic effects of organic arsenic including arsenobetaine on the human body. Here, we analyzed the association between urine arsenobetaine and the homeostasis model assessment of β-cell function (HOMA-β), which is an index for predicting diabetes development and reflecting the function of pancreatic β-cells.

Methods

In the fourth Korea National Health and Nutrition Examination Survey (KNHANES), health and nutrition surveys and screening tests were performed. Of the total survey population, people with confirmed values for urine total arsenic and arsenobetaine were included, and known diabetic patients were excluded. A total 369 participants were finally included in the study. We collected surveys on health, height, body weight, body mass index, blood mercury level, fasting glucose level, and serum insulin level and calculated HOMA index. Owing to sexual discrepancy, we performed sexually stratified analysis.

Results

Urine total arsenic and total arsenic minus arsenobetaine was not associated with HOMA-IR and HOMA-β in univariate analysis or in sexually stratified analysis. However, urine arsenobetaine showed a statistically significant relationship with HOMA-β in univariate analysis, and only male participants showed a significant correlation in sexually stratified analysis. In the analysis adjusted for age, BMI, smoking, alcohol drinking, physical activity and blood mercury, the HOMA-β value in the group below the 25th percentile of arsenobetaine was significantly higher than the group between 50 and 75th percentile, while no difference was shown for HOMA-IR. In sexually stratified analysis, The value of HOMA-β was significantly higher in male participants with below the 25th percentile urine arsenobetaine than the group between 25 and 50th and between 50 and 75th, while no difference was shown for HOMA-IR. However, female participants did not demonstrate a relationship between HOMA–IR, HOMA-β and urine arsenobetaine.

Conclusion

This study revealed the association between urine arsenobetaine and pancreatic β-cell function assessed by HOMA-β in the normal population (without diabetes), especially in males, despite adjusting for factors affecting pancreatic β-cell function and diabetes.

Electronic supplementary material

The online version of this article (doi:10.1186/s40557-017-0181-0) contains supplementary material, which is available to authorized users.


Citations

Citations to this article as recorded by  
  • Research for type 2 diabetes mellitus in endemic arsenism areas in central China: role of low level of arsenic exposure and KEAP1 rs11545829 polymorphism
    Chenlu Fan, Zaihong Zhan, Xin Zhang, Qun Lou, Ning Guo, Mengyao Su, Yue Gao, Ming Qin, Liaowei Wu, Wei Huang, Meichen Zhang, Fanshuo Yin, Yanhui Wu, Jingbo Pi, Yuanyuan Xu, Yanmei Yang, Yanhui Gao
    Archives of Toxicology.2022; 96(6): 1673.     CrossRef
  • Arsenic exposure during pregnancy and postpartum maternal glucose tolerance: evidence from Bangladesh
    Abby F. Fleisch, Sudipta Kumer Mukherjee, Subrata K. Biswas, John F. Obrycki, Sheikh Muhammad Ekramullah, D. M. Arman, Joynul Islam, David C. Christiani, Maitreyi Mazumdar
    Environmental Health.2022;[Epub]     CrossRef
  • Maternal and childhood exposure to inorganic arsenic and airway allergy – A 15-Year birth cohort follow-up study
    Tsung-Lin Tsai, Wei-Te Lei, Chin-Chi Kuo, Hai-Lun Sun, Pen-Hua Su, Shu-Li Wang
    Environment International.2021; 146: 106243.     CrossRef
  • Joint effect of urinary arsenic species and serum one-carbon metabolism nutrients on gestational diabetes mellitus: A cross-sectional study of Chinese pregnant women
    Qiang Zhang, Xumei Zhang, Shuying Li, Huihuan Liu, Liangpo Liu, Qingyu Huang, Yaxing Hou, Xiaoshan Liang, Bo Cui, Ming Zhang, Liting Xia, Liwen Zhang, Chen Li, Jing Li, Guifan Sun, Naijun Tang
    Environment International.2021; 156: 106741.     CrossRef
  • Insulin resistance and pancreatic β cell dysfunction are associated with thyroid hormone functions: A cross-sectional hospital-based study in Turkey
    Evin Kocatürk, Ezgi Kar, Zeynep Küskü Kiraz, Özkan Alataş
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(6): 2147.     CrossRef
  • Endocrine disruption and obesity: A current review on environmental obesogens
    Radhika Gupta, Prashant Kumar, Nighat Fahmi, Bhaskar Garg, Sriparna Dutta, Shilpee Sachar, Avtar S. Matharu, Karani S. Vimaleswaran
    Current Research in Green and Sustainable Chemistry.2020; 3: 100009.     CrossRef
  • Circulating miRNA-126, -145 and -155 levels in Mexican women exposed to inorganic arsenic via drinking water
    Tania Ruíz-Vera, Ángeles C. Ochoa-Martínez, Sergio Zarazúa, Leticia Carrizales-Yáñez, Iván N. Pérez-Maldonado
    Environmental Toxicology and Pharmacology.2019; 67: 79.     CrossRef
  • The role of arsenic in obesity and diabetes
    Tahereh Farkhondeh, Saeed Samarghandian, Mohsen Azimi‐Nezhad
    Journal of Cellular Physiology.2019; 234(8): 12516.     CrossRef
  • Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh
    Shadassa Ourshalimian, Abu Mohd Naser, Mahbubur Rahman, Solaiman Doza, Jennifer Stowell, K.M. Venkat Narayan, Mohammad Shamsudduha, Matthew O. Gribble
    Environmental Research.2019; 172: 249.     CrossRef
  • 174 View
  • 0 Download
  • 10 Web of Science
  • 9 Crossref
Close layer
Research Article
The current condition of the workers’ general health examination in South Korea: a retrospective study
Young Joong Kang, Jun-Pyo Myong, Huisu Eom, Bowha Choi, Jong Heon Park, Eun-A L Kim
Ann Occup Environ Med 2017;29:6.   Published online March 7, 2017
DOI: https://doi.org/10.1186/s40557-017-0157-0
AbstractAbstract PDFPubReaderePub
Background

Business owners in the Republic of Korea must take part in the workers’ general health examination. However, there have been few formal analyses of the uptake of this examination by employees. In the present study, we examined the rates of participation in medical examinations according to age group, health insurance type, and enterprise size, and then compared these results with those of the national general health screening. Furthermore, we determined the distribution of patients with abnormal results for diabetes and hypertension, and outlined the significance and history of domestic health examinations.

Methods

We started by comparing participation rates extracted from the among health examination data of the National Health Insurance Service from 2006–2013 by sex, age, insurance type, and enterprise size of workplace health insurance beneficiaries (i.e., those whose insurance is provided by their workplace). In addition, we analyzed the prevalence rates of abnormal results for hypertension and diabetes, and explored the history and significance of health examinations in the Republic of Korea.

Results

The overall participation rate in the primary health examination in 2006 was 56%, and this increased to 72% in 2013. However, the rates of the secondary screening did not increase much. Among workplace policyholders (i.e., those whose insurance is provided by their workplace), the participation rates of workers in enterprises with less than 50 employees were lower than were those in enterprises with 50 or more employees. Notably, the rates and odds ratios of patients with abnormal results for diabetes and hypertension were relatively high, particularly among those working in smaller enterprises.

Conclusions

Although the workers’ general health examination has been replaced with the national general health screening, it remains necessary to ensure uniform health management services among all workers in the Republic of Korea. This can, in turn, promote occupational health and improve working conditions throughout the Republic of Korea.


Citations

Citations to this article as recorded by  
  • Risk of Cardiovascular Disease according to Baseline Low-Density Lipoprotein Cholesterol Level in Different Age Groups in Korean Diabetes Population: A Cohort Study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2024; 48(2): 265.     CrossRef
  • Altered Risk of Incident Gout According to Changes in Metabolic Syndrome Status: A Nationwide, Population‐Based Cohort Study of 1.29 Million Young Men
    Yeonghee Eun, Kyungdo Han, Seung Woo Lee, Kyunga Kim, Seonyoung Kang, Seulkee Lee, Hoon‐Suk Cha, Eun‐Mi Koh, Hyungjin Kim, Jaejoon Lee
    Arthritis & Rheumatology.2023; 75(5): 806.     CrossRef
  • Association with Combined Occupational Hazards Exposure and Risk of Metabolic Syndrome: A Workers' Health Examination Cohort 2012–2021
    Dongmug Kang, Eun-Soo Lee, Tae-Kyoung Kim, Yoon-Ji Kim, Seungho Lee, Woojoo Lee, Hyunman Sim, Se-Yeong Kim
    Safety and Health at Work.2023; 14(3): 279.     CrossRef
  • Increased risk of incident gout in young men with metabolic syndrome: A nationwide population-based cohort study of 3.5 million men
    Yeonghee Eun, Kyungdo Han, Seung Woo Lee, Kyunga Kim, Seonyoung Kang, Seulkee Lee, Hoon-Suk Cha, Eun-Mi Koh, Hyungjin Kim, Jaejoon Lee
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Alcohol use during pregnancy: findings from a gender-based violence survey in Mongolia
    Bolormaa Erdenetuya, Dayoon Kwon, Sugy Choi, Seung-Ah Choe
    Archives of Women's Mental Health.2022; 25(4): 789.     CrossRef
  • National General Health Screening Program in Korea: history, current status, and future direction
    Dong Wook Shin, Juhee Cho, Jae Hyun Park, BeLong Cho
    Precision and Future Medicine.2022; 6(1): 9.     CrossRef
  • Development of a Chatbot Program for Follow-Up Management of Workers’ General Health Examinations in Korea: A Pilot Study
    Byeong Jin Ye, Ju Young Kim, Chunhui Suh, Seong Pil Choi, Maro Choi, Dong Hyun Kim, Byung Chul Son
    International Journal of Environmental Research and Public Health.2021; 18(4): 2170.     CrossRef
  • Reliability and Validity of a Nationwide Survey (the Korean Radiation Workers Study)
    Dalnim Lee, Wan Young Lim, Soojin Park, Young Woo Jin, Won Jin Lee, Sunhoo Park, Songwon Seo
    Safety and Health at Work.2021; 12(4): 445.     CrossRef
  • Evaluation of occupational noise exposure and general health of workers in industrial sites: A case study
    Kamal Ebrahimi, Reza Tajik, Taybeh Karami, Samira Rahimnejad, Farshad Arghavani
    Work.2021; 68(1): 115.     CrossRef
  • Occupational health nurses’ personal attitudes toward smoking: A cross-sectional study
    Jihye Lee, Saerom Lee, Minkyu Lee, Young Joong Kang
    Journal of Occupational Health.2021;[Epub]     CrossRef
  • Urinary bisphenol A, phthalate metabolites, and obesity: do gender and menopausal status matter?
    Jung-eun Lim, BongKyoo Choi, Sun Ha Jee
    Environmental Science and Pollution Research.2020; 27(27): 34300.     CrossRef
  • A Cohort Study of Korean Radiation Workers: Baseline Characteristics of Participants
    Soojin Park, Songwon Seo, Dalnim Lee, Sunhoo Park, Young Woo Jin
    International Journal of Environmental Research and Public Health.2020; 17(7): 2328.     CrossRef
  • The cumulative incidence and trends of rare diseases in South Korea: a nationwide study of the administrative data from the National Health Insurance Service database from 2011–2015
    Sung-Shil Lim, Wanhyung Lee, Yeong-Kwang Kim, Jihyun Kim, Jong Heon Park, Bo Ram Park, Jin-Ha Yoon
    Orphanet Journal of Rare Diseases.2019;[Epub]     CrossRef
  • Disparities in the utilisation of preventive health services by the employment status: An analysis of 2007-2012 South Korean national survey
    SangJune Kim, Jee Hey Song, Yoo Min Oh, Sang Min Park, Geofrey Musinguzi
    PLOS ONE.2018; 13(12): e0207737.     CrossRef
  • The Relationship between Workplace Environment and Metabolic Syndrome
    Hwee-Soo Jeong
    The International Journal of Occupational and Environmental Medicine.2018; 9(4): 176.     CrossRef
  • Erratum to: The current condition of the workers’ general health examination in South Korea: a retrospective study
    Young Joong Kang, Jun-Pyo Myong, Huisu Eom, Bowha Choi, Jong Heon Park, Eun-A L Kim
    Annals of Occupational and Environmental Medicine.2017;[Epub]     CrossRef
  • 243 View
  • 0 Download
  • 17 Web of Science
  • 16 Crossref
Close layer
Research Article
Risks of borderline liver enzyme abnormalities to the incidence of impaired fasting glucose and diabetes mellitus: a 7 year follow up study of workers
Jin-Hyun Yu, Jin-Seok Kim, Mee-Ra Lee, Seong-Yong Yoon, Seong-Yong Cho, Seung-Hyun Yoo, Boo-Il Kim
Ann Occup Environ Med 2016;28:18.   Published online April 7, 2016
DOI: https://doi.org/10.1186/s40557-016-0105-4
AbstractAbstract PDFPubReaderePub
Background

The aim of this study was to identify the relationships between borderline serum liver enzyme abnormalities and the incidence of impaired fasting glucose (IFG) and diabetes mellitus (DM) during a 7-year follow-up of workers, and to evaluate the quantitative level of risks.

Methods

A total of 749 workers in an electronics manufacturing company were divided into the normal fasting blood glucose (n = 633), IFG (n = 98), and DM (n = 18) groups, according to the results of their health checkup in 2006. Among 633 workers in the normal group, excluding 55 workers who were impossible to follow, incidence rate and relative risks of 578 workers to the IFG or DM in 2013 according to the levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyltransferase (γ-GTP) were investigated. The liver enzyme levels were categorized as A (normal), B (borderline elevation), and R (definite elevation) following the standard of the National Health Insurance Service of Korea.

Results

The incidence rate of IFG or DM based on ALT level was 9.7 % for the A, 30.0 % for B, and 15.4 % for R. According to γ-GTP, the incidence rate was 9.8 % for A, 34.5 % for B, and 25.0 % for R. The relative risk(RR) to the incidence of IFG or DM depending on the level of ALT were 3.09 in B and 1.59 in R compared to A. According to γ-GTP, RR was 3.52 in B and 2.55 in R compared to A. AST level was not related to the incidence of IFG or DM. A multiple logistic regression analysis with the incidence of IFG or DM as a dependent variable resulted in an odds ratio of 2.664(1.214–5.849) for B level ALT, 3.685(1.405–9.667) for B level of γ-GTP even after adjustment for other variables such as age, sex, body mass index, AUDIT score, systolic blood pressure, and triglyceride.

Conclusions

Even borderline elevations of ALT and γ-GTP, but not AST, increased the incidence and risk of IFG or DM after 7 years. Borderline elevation of ALT and γ-GTP was identified as an independent risk factor of IFG or DM.


Citations

Citations to this article as recorded by  
  • Considering serum alanine aminotransferase and gamma-glutamyltransferase levels together strengthen the prediction of impaired fasting glucose risk: a cross-sectional and longitudinal study
    Ji Hye Jeong, Susie Jung, Kyu-Nam Kim
    Scientific Reports.2021;[Epub]     CrossRef
  • Association of liver enzymes levels with fasting plasma glucose levels in Southern China: a cross-sectional study
    Ling-Ling Huang, Dong-Hui Guo, Hui-Yan Xu, Song-Tao Tang, Xiao Xiao Wang, Yong-Ping Jin, Peixi Wang
    BMJ Open.2019; 9(10): e025524.     CrossRef
  • Statin use and the risk of hepatocellular carcinoma in patients at high risk: A nationwide nested case-control study
    Gyuri Kim, Suk-Yong Jang, Chung Mo Nam, Eun Seok Kang
    Journal of Hepatology.2018; 68(3): 476.     CrossRef
  • 139 View
  • 0 Download
  • 2 Web of Science
  • 3 Crossref
Close layer
Research Article
Association of cadmium with diabetes in middle-aged residents of abandoned metal mines: the first health effect surveillance for residents in abandoned metal mines
Hee-seung Son, Soo-geun Kim, Byung-seong Suh, Dong-uk Park, Dae-seon Kim, Seung-do Yu, Yeong-seoub Hong, Jung-duck Park, Byung-kook Lee, Jai-dong Moon, Joon Sakong
Ann Occup Environ Med 2015;27:20.   Published online August 24, 2015
DOI: https://doi.org/10.1186/s40557-015-0071-2
AbstractAbstract PDFPubReaderePub
Objective

The aim of this study was to determine the association between urinary cadmium (U-cd) concentration and diabetes in middle-aged Korean residents of abandoned mines using the first Health Effect Surveillance for Residents in Abandoned Metal mines (HESRAM).

Methods

This study was cross-sectional study conducted on 719 residents between 40–70 years in 38 abandoned metal mines in Korea. Data was collected by HESRAM from 2008 to 2011. The correlation coefficient of U-cd and fasting blood glucose, odds ratio in urinary cadmium tertiles and diabetes prevalence was analyzed according to the sex category.

Results

The correlation coefficient U-cd concentration and fasting blood glucose was 0.182 in male. Logistic regression analysis in male revealed a third tertile odds ratio of U-cd (2 μg/g creatinine < U-cd) while diabetes prevalence was 1.81 (95 % CI 1.05-3.12) with adjusted age, BMI, smoking and alcohol consumption, region, family income. On the other hand, the odds ratio for third tertile of U-cd (3 μg/g creatinine < U-cd) between diabetes prevalence in female was 1.39 (95 % CI 0.52-3.72) in addition to adjusted menopausal status.

Conclusions

Environmental exposure to cadmium in abandoned mine residents was associated with diabetes in male. Closed monitoring and periodic evaluation of the health effects of chronic environmental exposure on abandoned mines residents will be needed.


Citations

Citations to this article as recorded by  
  • Associations of metals and metal mixtures with glucose homeostasis: A combined bibliometric and epidemiological study
    Kai Li, Yisen Yang, Jiaxin Zhao, Quan Zhou, Yanbing Li, Ming Yang, Yaoyu Hu, Jing Xu, Meiduo Zhao, Qun Xu
    Journal of Hazardous Materials.2024; 470: 134224.     CrossRef
  • Is Environmental Cadmium Exposure Causally Related to Diabetes and Obesity?
    Soisungwan Satarug
    Cells.2023; 13(1): 83.     CrossRef
  • Environmental Cadmium Exposure and Type 2 Diabetes Mellitus Risk: An Overview of Systematic Reviews
    Julia Hildebrand, Swarni Thakar, Tonya-Leah Watts, Laura Banfield, Lehana Thabane, Joseph Macri, Stephen Hill, M. Constantine Samaan
    Exposure and Health.2022; 14(3): 743.     CrossRef
  • Effects of Environmental Exposure to Cadmium and Lead on the Risks of Diabetes and Kidney Dysfunction
    Supabhorn Yimthiang, Phisit Pouyfung, Tanaporn Khamphaya, Saruda Kuraeiad, Paleeratana Wongrith, David A. Vesey, Glenda C. Gobe, Soisungwan Satarug
    International Journal of Environmental Research and Public Health.2022; 19(4): 2259.     CrossRef
  • Cadmium exposure and risk of diabetes and prediabetes: A systematic review and dose-response meta-analysis
    Tommaso Filippini, Lauren A. Wise, Marco Vinceti
    Environment International.2022; 158: 106920.     CrossRef
  • Mitigation of Cadmium Toxicity through Modulation of the Frontline Cellular Stress Response
    Soisungwan Satarug, David A. Vesey, Glenda C. Gobe
    Stresses.2022; 2(3): 355.     CrossRef
  • A benchmark dose analysis for urinary cadmium and type 2 diabetes mellitus
    Peng Shi, Huanchang Yan, Xingjun Fan, Shuhua Xi
    Environmental Pollution.2021; 273: 116519.     CrossRef
  • Environmental pollution and diabetes mellitus
    Amany El-Sikaily, Mohamed Helal
    World Journal of Meta-Analysis.2021; 9(3): 234.     CrossRef
  • Cadmium exposure, fasting blood glucose changes, and type 2 diabetes mellitus: A longitudinal prospective study in China
    Lili Xiao, Wei Li, Chunmei Zhu, Shijie Yang, Min Zhou, Bin Wang, Xing Wang, Dongming Wang, Jixuan Ma, Yun Zhou, Weihong Chen
    Environmental Research.2021; 192: 110259.     CrossRef
  • Associations between metabolic syndrome and four heavy metals: A systematic review and meta-analysis
    Ping Xu, Aiping Liu, Fengna Li, Alexey A. Tinkov, Longjian Liu, Ji-Chang Zhou
    Environmental Pollution.2021; 273: 116480.     CrossRef
  • Adipose tissue cadmium concentrations as a potential risk factor for insulin resistance and future type 2 diabetes mellitus in GraMo adult cohort
    Inmaculada Salcedo-Bellido, Celia Gómez-Peña, Francisco M. Pérez-Carrascosa, Petra Vrhovnik, Vicente Mustieles, Ruth Echeverría, Željka Fiket, Celia Pérez-Díaz, Rocío Barrios-Rodríguez, José Juan Jiménez-Moleón, Juan Pedro Arrebola
    Science of The Total Environment.2021; 780: 146359.     CrossRef
  • Cadmium Is Associated with Type 2 Diabetes in a Superfund Site Lead Smelter Community in Dallas, Texas
    Bert B. Little, Robert Reilly, Brad Walsh, Giang T. Vu
    International Journal of Environmental Research and Public Health.2020; 17(12): 4558.     CrossRef
  • Advancing Global Health through Environmental and Public Health Tracking
    Paolo Lauriola, Helen Crabbe, Behrooz Behbod, Fuyuen Yip, Sylvia Medina, Jan C. Semenza, Sotiris Vardoulakis, Dan Kass, Ariana Zeka, Irma Khonelidze, Matthew Ashworth, Kees de Hoogh, Xiaoming Shi, Brigit Staatsen, Lisbeth E. Knudsen, Tony Fletcher, Danny
    International Journal of Environmental Research and Public Health.2020; 17(6): 1976.     CrossRef
  • Assessment of heavy metals by ICP‐OES and their impact on insulin stimulating hormone and carbohydrate metabolizing enzymes
    Shakil Saba, Muhammad Sajid Hamid Akash, Kanwal Rehman, Uzma Saleem, Fareeha Fiayyaz, Tanvir Ahmad
    Clinical and Experimental Pharmacology and Physiology.2020; 47(10): 1682.     CrossRef
  • Evaluation of the association between urinary cadmium levels below threshold limits and the risk of diabetes mellitus: a dose-response meta-analysis
    Fei-Fei Guo, Zhi-Yong Hu, Bing-Yan Li, Li-Qiang Qin, Chunling Fu, Huifang Yu, Zeng-Li Zhang
    Environmental Science and Pollution Research.2019; 26(19): 19272.     CrossRef
  • Cadmium exposure induces pancreatic β-cell death via a Ca2+-triggered JNK/CHOP-related apoptotic signaling pathway
    Cheng-Chin Huang, Chun-Ying Kuo, Ching-Yao Yang, Jui-Ming Liu, Ren-Jun Hsu, Kuan-I Lee, Chin-Chuan Su, Chin-Ching Wu, Ching-Ting Lin, Shing-Hwa Liu, Chun-Fa Huang
    Toxicology.2019; 425: 152252.     CrossRef
  • Roles of C-reactive protein on the association between urinary cadmium and type 2 diabetes
    Lili Xiao, Yun Zhou, Jixuan Ma, Limin Cao, Chunmei Zhu, Wei Li, Dongming Wang, Lieyang Fan, Zi Ye, Weihong Chen
    Environmental Pollution.2019; 255: 113341.     CrossRef
  • Cadmium Body Burden and Gestational Diabetes Mellitus: A Prospective Study
    Wenyu Liu, Bin Zhang, Zheng Huang, Xinyun Pan, Xiaomei Chen, Chen Hu, Hongxiu Liu, Yangqian Jiang, Xiaojie Sun, Yang Peng, Wei Xia, Shunqing Xu, Yuanyuan Li
    Environmental Health Perspectives.2018;[Epub]     CrossRef
  • Heavy Metal Exposure and Metabolic Syndrome: Evidence from Human and Model System Studies
    Antonio Planchart, Adrian Green, Cathrine Hoyo, Carolyn J. Mattingly
    Current Environmental Health Reports.2018; 5(1): 110.     CrossRef
  • Cadmium affects blood pressure and negatively interacts with obesity: Findings from NHANES 1999–2014
    Qi Wang, Sheng Wei
    Science of The Total Environment.2018; 643: 270.     CrossRef
  • Dietary Cadmium Intake and Its Effects on Kidneys
    Soisungwan Satarug
    Toxics.2018; 6(1): 15.     CrossRef
  • Gender-specific differences of interaction between cadmium exposure and obesity on prediabetes in the NHANES 2007–2012 population
    Fei Jiang, Xueyuan Zhi, Miao Xu, Bingyan Li, Zengli Zhang
    Endocrine.2018; 61(2): 258.     CrossRef
  • Association of urinary cadmium with risk of diabetes: a meta-analysis
    Yujie Li, Yun Zhang, Weijing Wang, Yili Wu
    Environmental Science and Pollution Research.2017; 24(11): 10083.     CrossRef
  • Kidney Cadmium Toxicity, Diabetes and High Blood Pressure: The Perfect Storm
    Soisungwan Satarug, David A. Vesey, Glenda C. Gobe
    The Tohoku Journal of Experimental Medicine.2017; 241(1): 65.     CrossRef
  • Current health risk assessment practice for dietary cadmium: Data from different countries
    Soisungwan Satarug, David A. Vesey, Glenda C. Gobe
    Food and Chemical Toxicology.2017; 106: 430.     CrossRef
  • The role of cadmium in obesity and diabetes
    Alexey A. Tinkov, Tommaso Filippini, Olga P. Ajsuvakova, Jan Aaseth, Yordanka G. Gluhcheva, Juliana M. Ivanova, Geir Bjørklund, Margarita G. Skalnaya, Eugenia R. Gatiatulina, Elizaveta V. Popova, Olga N. Nemereshina, Marco Vinceti, Anatoly V. Skalny
    Science of The Total Environment.2017; 601-602: 741.     CrossRef
  • Association between cadmium exposure and diabetes mellitus risk: a prisma-compliant systematic review and meta-analysis
    Ming Wu, Jukun Song, Chen Zhu, Yadong Wang, Xinhai Yin, Guanglei Huang, Ke Zhao, Jianguo Zhu, Zhuhui Duan, Lingkai Su
    Oncotarget.2017; 8(68): 113129.     CrossRef
  • 239 View
  • 1 Download
  • 26 Web of Science
  • 27 Crossref
Close layer
Research Article
Association of Diabetes Mellitus with a Combination of Vitamin D Deficiency and Arsenic Exposure in the Korean General Population: Analysis of 2008–2009 Korean National Health and Nutrition Examination Survey Data
Byung-Kook Lee, Yangho Kim
Ann Occup Environ Med 2013;25:7-7.   Published online May 21, 2013
DOI: https://doi.org/10.1186/2052-4374-25-7
AbstractAbstract PDFPubReaderePub
Objectives

We present data from the Korean National Health and Nutritional Examination Survey (KNHANES) 2008–2009 on the combination of vitamin D deficiency and arsenic exposure on diabetes mellitus (DM) in a representative sample of the adult Korean population.

Methods

This study was based on data obtained from the KNHANES 2008–2009, which was conducted for 3 years (2007–2009) using a rolling sampling design that involved a complex, stratified, multistage, probability-cluster survey of a representative sample of the non-institutionalized civilian population in South Korea.

Results

Data analysis revealed that subjects who showed both vitamin D levels in the 1st quartile (Q) and urinary arsenic levels in the 4th Q, had a 302% increased risk of having DM, as compared with those whose vitamin D and urinary arsenic levels were in the 4th Q and 1st Q, respectively.

Conclusion

The present study reconfirmed an association of DM with low vitamin D levels and arsenic exposure, and further showed a combination of vitamin D deficiency and arsenic exposure on DM in the general Korean population. To the best of our knowledge, this is the first report describing a combination of vitamin D deficiency and arsenic exposure on DM. The present findings have important public health implications.


Citations

Citations to this article as recorded by  
  • Potential association between arsenic and vitamin D
    Mythri Chittilla, Chantal Uzoma, Desiree Brewer, Mohammed S. Razzaque
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Arsenic and type 2 diabetes: Revealing the environmental exposure relationship through effective factors - A systematic review
    Samaneh Abolli, Samaneh Dehghani, Rasha Atlasi, Zahra Maleki, Masud Yunesian, Ozra Tabatabaei-Malazy, Maryam Saraei, Mina Khosravifar, Zahra Soleimani
    Results in Engineering.2024; 22: 102054.     CrossRef
  • Association between urinary arsenic species and vitamin D deficiency: a cross-sectional study in Chinese pregnant women
    Jingran Zhang, Yuxuan Bai, Xi Chen, Shuying Li, Xiangmin Meng, Aifeng Jia, Xueli Yang, Fenglei Huang, Xumei Zhang, Qiang Zhang
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • An updated systematic review and dose-response meta-analysis on the relation between exposure to arsenic and risk of type 2 diabetes
    Nader Rahimi Kakavandi, Taraneh Mousavi, Tayebeh Asadi, Ayda Moradi, Mahta Esmaeili, Ahmad Habibian Sezavar, Shekoufeh Nikfar, Mohammad Abdollahi
    Toxicology Letters.2023; 384: 115.     CrossRef
  • Dietary Selenium Deficiency Partially Mimics the Metabolic Effects of Arsenic
    Christopher M. Carmean, Mizuho Mimoto, Michael Landeche, Daniel Ruiz, Bijoy Chellan, Lidan Zhao, Margaret C. Schulz, Alexandra M. Dumitrescu, Robert M. Sargis
    Nutrients.2021; 13(8): 2894.     CrossRef
  • Arsenic Exposure Decreases Adiposity During High‐Fat Feeding
    Christopher M. Carmean, Andrew G. Kirkley, Michael Landeche, Honggang Ye, Bijoy Chellan, Hani Aldirawi, Austin A. Roberts, Patrick J. Parsons, Robert M. Sargis
    Obesity.2020; 28(5): 932.     CrossRef
  • The health effects of exposure to arsenic-contaminated drinking water: a review by global geographical distribution
    Lei Huang, Haiyun Wu, Tsering Jan van der Kuijp
    International Journal of Environmental Health Research.2015; 25(4): 432.     CrossRef
  • Association between Arsenic Exposure and Diabetes: A Meta-Analysis
    Tzu-Ching Sung, Jhih-Wei Huang, How-Ran Guo
    BioMed Research International.2015; 2015: 1.     CrossRef
  • Can Exposure to Environmental Chemicals Increase the Risk of Diabetes Type 1 Development?
    Johanna Bodin, Lars Christian Stene, Unni Cecilie Nygaard
    BioMed Research International.2015; 2015: 1.     CrossRef
  • 120 View
  • 0 Download
  • 9 Web of Science
  • 9 Crossref
Close layer
Original Article
A Cost-Effectiveness Analysis of Mass Screening for Diabetes Mellitus
Kyung Eun Lee, Byung Yeol Chun, Sin Kam, Jae Yong Park
Korean Journal of Occupational and Environmental Medicine 1995;7(2):269-281.   Published online October 31, 1995
DOI: https://doi.org/10.35371/kjoem.1995.7.2.269
AbstractAbstract PDF
To evaluate the efficiency of the diabetes mellitus screening program, the records of screening examinations for general workers and official workers at a general hospital in Taegu city were analysed. Six alternatives of the diabetes mellitus screening program were compared in terms of cost-effectiveness. The screening program I which was already used in the examination for general workers, screening program II for official workers, alternative program (A) which was the same method as screening program I without urine sugar test for the second examination in a hospital, a1ternative program (B) with the test for fasting blood sugar (FBS) in a worksite, alternative program (C) with the test for postprandial blood sugar (PPBS) in a worksite, alternative program (D) with the first test for FBS and the second test for PPBS of negatives for FBS test in a worksite, alternative program (E) with the first test for PPBS and the second test for FBS of negatives for PPBS test, and alternative program (F) with the test for urine sugar in a worksite. To compare the cost-effectiveness between alternatives, the cost (Won) per positive detected for diabetes mellitus (cost-effectiveness ratio) was calculated. The cost per positive detected was 37,767 Won for screening program I, 50,441 for screening program II, 37,433 for alternative program (A) , 27,645 for alternative program (B), and if it was assumed that the positive rate for negatives of FBS would be 2.0 %, 28,541 for alternative program (C) , 35,458 for alternative program (D) , 38,488 for alternative program (E) . However, that for alternative program (F) was varied with the positive predictive value (PPV) of urine sugar test for diabetes. The cost per positive detected was lowest(18,689 Won) when PPV was 93 %, whereas, highest (88,106) when PPV was 20 %. The critical value of PPV was 64 %. The alternative program (F) was most efficient when PPV was 64% or more. Considering the prevalence for diabetes mellitus, PPV for urine suger test, and feasibility of screening examination, alternative program (B) will be proved as the most efficient screening program. In conclusion, either program (B) or program (F) will be the most efficient method for screening a large population depending on the positive predictive value of fasting urine suger test.

  • 53 View
  • 0 Download
Close layer

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine
Close layer
TOP