Article ; Online: Association between ergonomic risk exposures and insomnia symptoms: a mediation analysis of the 5th Korean working conditions survey.
2024 Volume 24, Issue 1, Page(s) 149
Abstract: Background: This study investigates the relationship between ergonomic risk exposures and insomnia symptoms, using data representative of Korea's general working population.: Methods: Data from the 5th Korean Working Conditions Survey were used for ... ...
Abstract | Background: This study investigates the relationship between ergonomic risk exposures and insomnia symptoms, using data representative of Korea's general working population. Methods: Data from the 5th Korean Working Conditions Survey were used for this study. The eligible population (employees) for the current study was 37,026. Insomnia symptoms were estimated using the minimal insomnia symptom scale (MISS) questionnaire. Logistic regression analysis was conducted to explore the association between ergonomic risks and insomnia symptoms. Results: All the investigated ergonomic risks increased odd ratios (ORs) for insomnia symptoms: Tiring or painful positions (OR, 1.64; 95% CI, 1.43-1.88); lifting or moving heavy loads (OR, 2.33; 95% CI, 1.99-2.71); long periods of standing (OR, 1.47; 95% CI, 1.29-1.69); and repetitive hand or arm movements (OR, 1.46; 95% CI, 1.29-1.67). The mediated proportion of musculoskeletal pain was 7.4% (95% CI, 5.81-10.13), and the mediated proportion of feeling of exhaustion was 17.5% (95% CI, 5.81-10.13). Conclusions: This study provides evidence for the relationship between ergonomic risks and insomnia symptoms, for which musculoskeletal pains and the feeling of exhaustion may be potential mediators. |
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MeSH term(s) | Humans ; Mediation Analysis ; Sleep Initiation and Maintenance Disorders/epidemiology ; Ergonomics ; Musculoskeletal Pain/epidemiology ; Musculoskeletal Pain/etiology ; Surveys and Questionnaires ; Working Conditions ; Republic of Korea/epidemiology |
Language | English |
Publishing date | 2024-01-10 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2041338-5 |
ISSN | 1471-2458 ; 1471-2458 |
ISSN (online) | 1471-2458 |
ISSN | 1471-2458 |
DOI | 10.1186/s12889-024-17659-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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