Dataset Information

Influence of coexposure to long working hours and ergonomic risk factors on musculoskeletal symptoms: an interaction analysis.

ABSTRACT:

Objectives

This study explores the interaction between ergonomic risk factors and long working hours on musculoskeletal symptoms by additive and multiplicative scales.

Design

We used the data of the fifth Korean Working Condition Survey (KWCS). The KWCS is a cross-sectional study.

Setting

To represent the entire Korean working population, the probability proportion stratified cluster sampling method was used. The face-to-face interview was carried out with a structured questionnaire.

Main outcomes and measures

To assess the combined effect of ergonomic risk factors and long working hours on musculoskeletal symptoms, the relative excess risk due to interaction (RERI) and the ratio of ORs were calculated using multiple survey-weighted logistic analysis and postestimation commands.

Results

The OR for musculoskeletal symptoms was 1.75 (95% CI 1.28 to 1.39) for exposure to long working hours, 3.49 (95% CI 3.06 to 3.99) for exposure to ergonomic risk factors and 5.07 (95% CI 4.33 to 5.93) for coexposure to long working hours and ergonomic risk factors. The RERI was 0.82 (95% CI 0.11 to 1.53) and the ratio of ORs was 0.83 (95% CI 0.50 to 1.14) CONCLUSION: Our findings suggest that coexposure to both ergonomic risk factors and long working hours has a supra-additive interaction effect on musculoskeletal symptoms. Regulations on working hours and workplace interventions might reduce the musculoskeletal diseases of workers.

SUBMITTER: Park JW

PROVIDER: S-EPMC9109086 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Influence of coexposure to long working hours and ergonomic risk factors on musculoskeletal symptoms: an interaction analysis.

Park Jeong Woo JW Kang Mo-Yeol MY Kim Jung Il JI Hwang JongHyun J Choi Seong-Soo SS Cho Seong-Sik SS

BMJ open 20220513 5

<h4>Objectives</h4>This study explores the interaction between ergonomic risk factors and long working hours on musculoskeletal symptoms by additive and multiplicative scales.<h4>Design</h4>We used the data of the fifth Korean Working Condition Survey (KWCS). The KWCS is a cross-sectional study.<h4>Setting</h4>To represent the entire Korean working population, the probability proportion stratified cluster sampling method was used. The face-to-face interview was carried out with a structured ques ...[more]

PMID: 35568498

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Project description:ObjectiveThis study aimed to examine the association between long working hours, occupational stress, depression, and well-being, and to explore the intermediary effect of occupational stress and well-being between working hours and depression among couriers in Zhejiang, China.MethodsThe study used a cluster random sampling method to select 1,200 couriers from mainstream express companies in Zhejiang, China. The data were collected and analyzed using the Core Occupational Stress Scale (COSS) to measure occupational stress, the Patient Health Questionnaire-9 (PHQ-9) scale to evaluate depression, and the World Health Organization five-item Well-Being Index (WHO-5) scale to assess well-being. Structural equation modeling (SEM) was used to test the hypothesized relationship among the variables.ResultsThe phenomenon of long working hours (75.1%) was quite common among couriers in Zhejiang, China. Working hours had a direct positive effect on depression (β = 0.008, p < 0.001) and on occupational stress (β = 0.009, p < 0.001), and working hours had a negative effect on well-being (β = -0.013, p < 0.001). Occupational stress had a direct positive effect on depression (β = 0.272, p < 0.001), but well-being had no significant direct effect on depression. Working hours had an indirect effect on depression through the mediating effect of occupational stress while the mediating effect of well-being was not found.ConclusionLong working hours is associated with occupational stress, well-being, and depression. Our results confirmed that working hours, occupational stress, and well-being were strong predicators of depression. Working hours had a significant indirect effect on depression via occupational stress. The result of this study showed that decreasing working hours and reducing occupational stress would be effective for couriers to prevent depression. However, more studies are needed to verify the relationship between working hours and depression.

Dataset Information

Influence of coexposure to long working hours and ergonomic risk factors on musculoskeletal symptoms: an interaction analysis.

Objectives

Design

Setting

Main outcomes and measures

Results

Publications

Influence of coexposure to long working hours and ergonomic risk factors on musculoskeletal symptoms: an interaction analysis.

Similar Datasets

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