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Research Article
Relationship between simultaneous exposure to ergonomic risk factors and work-related lower back pain: a cross-sectional study based on the fourth Korean working conditions survey
Jae-Yeop Kim, Ji-Su Shin, Myeong-Seob Lim, Hyeon-Gyeong Choi, Sung-Kyeong Kim, Hee-Tae Kang, Sang-Baek Koh, Sung-Soo Oh
Ann Occup Environ Med 2018;30:58.   Published online September 5, 2018
DOI: https://doi.org/10.1186/s40557-018-0269-1
AbstractAbstract PDFPubReaderePub
Background

It is well known that ergonomic risk factors and back pain are related. However, few studies have examined the relationship between simultaneous exposure to these risk factors and back pain in a Korean population. We aimed to investigate the relationship between simultaneous exposure to ergonomic risk factors and work-related lower back pain (LBP) based on the fourth Korean Working Conditions Survey (KWCS).

Method

The fourth KWCS (2014) was used for this study. Chi-square tests and logistic regression were used to assess relationship between 5 ergonomic risk factors and work-related LBP. We also analyzed the relationship between simultaneous exposure to 2 risk factors and work-related LBP.

Results

All 5 ergonomic risk factors (fatigue-inducing and painful posture; lifting or moving people; dragging, pushing, or moving heavy objects; standing posture; and repetitive hand or arm movements) were significantly correlated with work-related LBP in the severe exposure group (adjusted odd ratios [aOR] 5.09, 95% confidence interval [CI] 4.46–5.83; aOR 1.98, 95% CI 1.62–2.42; aOR 2.09, 95% CI 1.82–2.40; aOR 1.79, 95% CI 1.60–2.01; aOR 2.04, 95% CI 1.82–2.30, respectively). When exposed to 2 risk factors simultaneously, the relationship between exposure and work-related LBP was not greater than exposure to only 1 risk factor in our study (usually exposed to ‘fatigue-inducing or painful posture’ aOR 2.17, 95% CI 2.02–2.34; high exposure to both ‘fatigue-inducing or painful posture’ and ‘dragging, pushing, or moving heavy objects’ aOR 2.00, 95% CI 1.82–2.20).

Conclusions

There was a strong relationship between severe exposure to each ergonomic risk factor and work-related LBP. However, when exposed to 2 ergonomic risk factors simultaneously, the relationship between exposure and work-related LBP was not stronger than when exposed to only 1 risk factor in our study.


Citations

Citations to this article as recorded by  
  • Association between commuting time and work-related low back pain with respect to sports and leisure activities in Korean workers
    Jaehyuk JUNG, Jae Bum PARK, Kyung-Jong LEE, Youngwook SEO, Inchul JEONG
    Industrial Health.2024; 62(2): 133.     CrossRef
  • Low Back Pain in Resident Doctors with Standardized Training in China: A Cross-Sectional Study
    Han-Wen Zhang, Hong-Ping Tan, Qiu-Xia Feng
    Risk Management and Healthcare Policy.2023; Volume 16: 2459.     CrossRef
  • Prevalence and Associated Factors of Low Back Pain Among Healthcare Professionals at University of Gondar Comprehensive and Specialized Hospital, Northwest Ethiopia: Cross-Sectional Study
    Nini Asfaw Negash, Azmeraw Tadele, Abebaw Jember Ferede
    Journal of Pain Research.2022; Volume 15: 1543.     CrossRef
  • Gender differences in associating musculoskeletal complaints, housework, electronic device usage and physical exercise for administrative workers
    Tânia M. Lima, Denis A. Coelho
    International Journal of Occupational Safety and Ergonomics.2022; 28(2): 1189.     CrossRef
  • Predictors of Satisfaction With Work Environment in the Context of a Mismatch in Working Hours: A Nationwide, Large-Scale, Cross-Sectional Study
    Robert Kim
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2022; 59: 004695802211282.     CrossRef
  • Working from home during the COVID‐19 pandemic, its effects on health, and recommendations: The pandemic and beyond
    Canan Birimoglu Okuyan, Mehmet A. Begen
    Perspectives in Psychiatric Care.2022; 58(1): 173.     CrossRef
  • Lumbopelvic sagittal standing posture associations with anthropometry, physical activity levels and trunk muscle endurance in healthy adults
    George A. Koumantakis, Antonios Malkotsis, Stefanos Pappas, Maria Manetta, Timotheos Anastopoulos, Apollon Kakouris, Eleutherios Kiourtsidakis
    Hong Kong Physiotherapy Journal.2021; 41(02): 127.     CrossRef
  • A pilot study to assess a risk of a high-risk group of low back pain membership in workers who perform the manual material handling tasks
    Sungho Lee, Seongchan Heo, Jong-Young Lee
    Annals of Occupational and Environmental Medicine.2021;[Epub]     CrossRef
  • Association between Occupational Noise and Vibration Exposure and Insomnia among Workers in Korea
    Fatima Nari, Yun Kyung Kim, Soo Hyun Kang, Eun-Cheol Park, Sung-In Jang
    Life.2020; 10(4): 46.     CrossRef
  • Association of Exposure to a Combination of Ergonomic Risk Factors with Musculoskeletal Symptoms in Korean Workers
    Jungsun Park, Yangho Kim
    International Journal of Environmental Research and Public Health.2020; 17(24): 9456.     CrossRef
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Research Article
Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models
Ju-Hyun Nam, Myeong-Seob Lim, Hyun-Kyeong Choi, Jae-Yeop Kim, Sung-Kyeong Kim, Sung-Soo Oh, Sang-Baek Koh, Hee-Tae Kang
Ann Occup Environ Med 2017;29:53.   Published online October 31, 2017
DOI: https://doi.org/10.1186/s40557-017-0209-5
AbstractAbstract PDFPubReaderePub
Background

This study was conducted to analyze the distribution of the psychosocial well-being index among adults living in two rural communities in Korea and to examine its correlation with lifestyle variables such as sleep duration, regular exercise, and sedentary time.

Methods

Using the cohort data of the Atherosclerosis Risk of a Rural Area Korean General Population, this study examined 3631 participants living in Wonju and Pyeongchang in Gangwon Province; their preliminary data were established from 2005 to 2007 while their follow-up data were collected 3 years later. This study investigated demographic characteristics, lifestyle habits, disease history, Psychosocial Well-being Index-Short Form (PWI-SF) scores, sleep duration, regular exercise, and sedentary time during work. Using repeated measures ANOVA, this study examined how the variables and PWI-SF scores changed over the course of 3 years and identified the correlation between them based on mixed model analysis. Afterwards, using the generalized estimation equation, this study identified each variable’s risk towards the PWI-SF high-risk group and performed a stratified analysis by occupation after dividing the participants into farmers and non-farmers.

Results

The PWI-SF high-risk group was found to be 18.9% of the participants from preliminary data and 15.5% from follow-up data. The odds ratio towards the PWI-SF high-risk group was 1.503 (95% CI 1.241–1.821) in the short sleep duration group and 1.327 (95% CI 1.136–1.550) in the non-regular exercise group. A stratified analysis by occupation showed that middle and long sedentary time in the white-collar group increased the risk toward the PWI-SF high-risk group.

Conclusions

Short sleep duration, no regular exercise, and long sedentary time in the white-collar group were identified as risk factors toward the PWI-SF high-risk group in the rural communities, and policy interventions are needed to address this issue.


Citations

Citations to this article as recorded by  
  • The Association Between Short Sleep Duration and Depressive Symptoms Among Elderly Farmers
    Sung Wook Song, Hyun Jung Lee, Jeong Rae Yoo, Jung-Hwan Oh
    Journal of Sleep Medicine.2023; 20(3): 188.     CrossRef
  • The Association between Psychosocial Stress and Type of Physical Activity in Middle Aged Adult: A Community-based Cohort Study
    DooYong Park, Jae-Young Park, EunKyung Kim, YeonSoo Kim
    The Korean Journal of Sports Medicine.2023; 41(3): 153.     CrossRef
  • Using Wake-Up Tasks for Morning Behavior Change: Development and Usability Study
    Kyue Taek Oh, Jisu Ko, Jaemyung Shin, Minsam Ko
    JMIR Formative Research.2022; 6(9): e39497.     CrossRef
  • Mild sleep restriction increases 24-hour ambulatory blood pressure in premenopausal women with no indication of mediation by psychological effects
    Marie-Pierre St-Onge, Ayanna Campbell, Brooke Aggarwal, Jasmine L. Taylor, Tanya M. Spruill, Arindam RoyChoudhury
    American Heart Journal.2020; 223: 12.     CrossRef
  • Correlation of physical fitness with psychological well-being, stress, and depression in Korean adults
    Bogja Jeoung
    Journal of Exercise Rehabilitation.2020; 16(4): 351.     CrossRef
  • Stress: Prevalence and correlates among residents of a suburban area
    Archana Singh, Manisha Arora, Vishal Sharma, Atul Kotwal
    Industrial Psychiatry Journal.2019; 28(1): 98.     CrossRef
  • Difference in health status of Korean farmers according to gender
    Ho Lee, Seong-yong Cho, Jin-seok Kim, Seong-yong Yoon, Bu-il Kim, Jong-min An, Ki-beom Kim
    Annals of Occupational and Environmental Medicine.2019;[Epub]     CrossRef
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Research Article
Self-resilience as a protective factor against development of post-traumatic stress disorder symptoms in police officers
Jong-Ku Lee, Hyeon-Gyeong Choi, Jae-Yeop Kim, Juhyun Nam, Hee-Tae Kang, Sang-Baek Koh, Sung-Soo Oh
Ann Occup Environ Med 2016;28:58.   Published online October 17, 2016
DOI: https://doi.org/10.1186/s40557-016-0145-9
AbstractAbstract PDFPubReaderePub
Background

This study was conducted to check whether self-resilience, one of the characteristics known to affect the occurrence of post-traumatic stress disorder (PTSD) symptoms after experiencing traumatic events, could serve as a protective factor for police officers whose occupational factors are corrected.

Methods

We conducted a cross-sectional study in which 112 male police officers in Gangwon Province participated. They visited the Wonju Severance Christian Hospital Occupational Environment Center for medical check-ups from June to December 2015. Their general characteristics were identified using structured questionnaires, and they were asked to fill in the Korean Occupational Stress Scale-Short Form (KOSS-SF). Further, the Center for Epidemiologic Studies-Depression Scale (CES-D), Connor–Davidson Resilience Scale-Korean (CD-RI-K), and Impact of Event Scale-Revised-Korean version (IES-R-K) were used to evaluate their job stress, depression, self-resilience, and PTSD symptoms. Logistic regression analysis was conducted to correct their personal, occupational, and psychological factors to analyze the relationship between self-resilience and PTSD symptoms.

Results

Among 112 respondents who experienced a traumatic event, those with low self-resilience had significantly higher rate of PTSD symptoms than those with high self-resilience even after correcting for the covariate of general, occupational, and psychological characteristics (odds ratio [OR] 3.51; 95 % CI: 1.06–19.23).

Conclusions

Despite several limitations, these results suggest that a high degree of self-resilience may protect police officers from critical incident-related PTSD symptoms.


Citations

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  • Diet Quality and Resilience through Adulthood: A Cross-Sectional Analysis of the WELL for Life Study
    Sparkle Springfield-Trice, Cara Joyce, Yi-Hsuan Wu, Ann W. Hsing, Kristen Cunanan, Christopher Gardner
    Nutrients.2024; 16(11): 1724.     CrossRef
  • Traumatic stress, active engagement and resilience in first responders and civilians in the outbreak of war
    Rotem Saar-Ashkenazy, Yoav S. Bergman, Omer Ashkenazy, Jonathan Guez
    European Journal of Psychotraumatology.2024;[Epub]     CrossRef
  • Role of Resilience in the Psychological Recovery of Women With Acute Myocardial Infarction
    Milla Arabadjian, Zoe T. Duberstein, Sarah H. Sperber, Kiranjot Kaur, Jolaade Kalinowski, Yuhe Xia, Anaïs Hausvater, Olivia O'Hare, Nathaniel R. Smilowitz, Victoria Vaughan Dickson, Hua Zhong, Jeffrey S. Berger, Judith S. Hochman, Harmony R. Reynolds, Tan
    Journal of the American Heart Association.2023;[Epub]     CrossRef
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    Physical Education of Students.2023; 27(2): 53.     CrossRef
  • Psychiatric disorders among employment requiring firearms
    Kento Yasuhara, Kristina Morreale, Dijonee Talley, Danielle T. Cooper, Michelle Hoy‐Watkins, Kendell L. Coker
    Behavioral Sciences & the Law.2023; 41(1): 19.     CrossRef
  • Presença de Risco de Transtorno do Estresse Pós-Traumático em Policiais Militares Feridos por Arma de Fogo
    Vanessa Ferreira Monteiro, Simone Souza da Costa Silva
    Psicologia: Ciência e Profissão.2023;[Epub]     CrossRef
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    Hye-Kyung Oh, Cheol Yeung Jang, Mi Suk Ko
    Frontiers in Public Health.2022;[Epub]     CrossRef
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    Xiaorong Mao, Olivia WM Fung, Xiuying Hu, Alice Yuen Loke
    Disaster Medicine and Public Health Preparedness.2022; 16(1): 380.     CrossRef
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    Saraswati Dhungana, Rishav Koirala, Saroj Prasad Ojha, Suraj Bahadur Thapa
    SSM - Mental Health.2022; 2: 100135.     CrossRef
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    Cogent Social Sciences.2022;[Epub]     CrossRef
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    Magdalena Maja Sitko-Dominik, Tomasz Daniel Jakubowski
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    Brian A. Moore, Willie J. Hale, Jason L. Judkins, Alan L. Peterson
    Behavioural and Cognitive Psychotherapy.2022; 50(2): 203.     CrossRef
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    Xiaorong Mao, Olivia Wai Man Fung, Xiuying Hu, Alice Yuen Loke
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    Canjie Lu, Lexin Yuan, Weiquan Lin, Ying Zhou, Shengmao Pan
    Archives of Gerontology and Geriatrics.2017; 71: 34.     CrossRef
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    Journal of Workplace Behavioral Health.2017; 32(4): 227.     CrossRef
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  • 34 Crossref
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