(2022) Latent class-derived patterns of musculoskeletal disorders in sedentary workers and chair ergonomic design. Int J Occup Saf Ergon. pp. 1636-1641. ISSN 1080-3548
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Abstract
Objectives. This study aimed to define specific patterns of multisite musculoskeletal disorders (MSDs) in office employees and to examine how derived patterns relate to ergonomic chair design. Methods. This cross-sectional study of 254 office employees extracted major patterns of MSDs using latent class analysis and investigated the association with ergonomic chair design. Results. Four major patterns of MSDs were extracted using latent class analysis: class 1 (12.1), individuals with high probabilities of MSDs in the neck, shoulders, back and wrists; class 2 (35.6), individuals with near-zero probabilities of MSDs across all sites; class 3 (14.1), those with high probabilities of complaints in the back, hips and knees; class 4 (38.2), those with high probabilities of MSDs across all sites. Considering class 2 as the reference, there was an inverse significant association between seat comfort and membership in class 3 (odds ratio OR 0.94, 95% confidence interval CI 0.89, 0.99) and class 4 OR 0.94, 95% CI 0.91, 0.98, and a significant inverse relationship between body support and membership in class 4 OR 0.95, 95% CI 0.92, 0.99. Conclusion. MSDs can be summarized with latent class-derived patterns among office workers. Ergonomic chair design was significantly associated with type of MSD patterns.
Item Type: | Article |
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Keywords: | Cross-Sectional Studies Ergonomics/methods Humans *Musculoskeletal Diseases/epidemiology Neck *Occupational Diseases/epidemiology Prevalence Risk Factors chair ergonomic latent class analysis musculoskeletal disorders office workers |
Page Range: | pp. 1636-1641 |
Journal or Publication Title: | Int J Occup Saf Ergon |
Journal Index: | Pubmed |
Volume: | 28 |
Number: | 3 |
Identification Number: | https://doi.org/10.1080/10803548.2021.1916239 |
ISSN: | 1080-3548 |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/16528 |
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