Annals of Occupational and Environmental Medicine

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

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

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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
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Annals of Occupational and Environmental Medicine.2021;[Epub] CrossRef
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Life.2020; 10(4): 46. CrossRef
Association of Exposure to a Combination of Ergonomic Risk Factors with Musculoskeletal Symptoms in Korean Workers
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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

Abstract PDF PubReader ePub

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

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The Korean Journal of Sports Medicine.2023; 41(3): 153. CrossRef
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Marie-Pierre St-Onge, Ayanna Campbell, Brooke Aggarwal, Jasmine L. Taylor, Tanya M. Spruill, Arindam RoyChoudhury
American Heart Journal.2020; 223: 12. CrossRef
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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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