Annals of Occupational and Environmental Medicine

Sung-Kyeong Kim

2 Articles

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

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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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

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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