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Predictors of Work-Related Musculoskeletal Disorders among Commercial Minibus Drivers in Accra Metropolis, Ghana
Author(s) -
Jubilant Kwame Abledu,
E. B. Offei,
Godfred Kwame Abledu
Publication year - 2014
Publication title -
advances in epidemiology
Language(s) - English
Resource type - Journals
eISSN - 2356-6701
pISSN - 2314-7628
DOI - 10.1155/2014/384279
Subject(s) - algorithm , logistic regression , medicine , ankle , physical therapy , machine learning , mathematics , computer science , surgery
Background. The objective of this study is to determine the prevalence and predictors of work-related musculoskeletal disorders (WMSDs) among a sample of commercial minibus drivers in the Accra Metropolis of Ghana. Methods. The participating drivers (n=148) were recruited from various lorry terminals and assessed by using a semistructured questionnaire that included the Nordic Musculoskeletal Questionnaire (NMQ). Results. Of the 148 drivers, 116 (78.4%) reported having WMSDs during the previous 12 months. The prevalence of the various WMSD domains was low back pain (58.8%), neck pain (25%), upper back pain (22.3%), shoulder pain (18.2%), knee pain (14.9%), ankle pain (9.5%), wrist pain (7.4%), elbow pain (4.7%), and hip/thigh pain (2.7%). Multiple logistic regression analysis adjusted for possible confounders showed that less physical activity (OR = 4.9; 95% CI = 1.5–16.5; P=0.010), driving more than 12 hours per day (OR = 2.9; 95% CI = 1.1–7.8; P=0.037), and driving at least 5 days per week (OR = 3.7; 95% CI = 1.4–9.4; P=0.007) were significantly associated with WMSDs among this cohort of drivers. Conclusion. These modifiable factors may be targets for preventive strategies to reduce the incidence of WMSDs among occupational minibus drivers in Ghana

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