Multiple Logistic Regression Analysis of Predictors of Musculoskeletal Disorders and Disability among Bank Workers in Kumasi, Ghana

Abstract

Background: Musculoskeletal disorders (MSDs) are a major cause of occupational disability worldwide and impose a considerable burden on the individual, society and industry in terms of absenteeism and cost of treatment. Objective: The purpose of this paper is to determine the prevalence and predictive factors of MSDs and associated disability among bank workers in Ghana. Methods: The 12-month period-prevalence of self-reported MSDs was studied among 230 bank workers in Kumasi, Ghana. The cross-sectional survey used a previously validated self-administered questionnaire that included the Nordic musculoskeletal questionnaire (NMQ) and the 12-item general health questionnaire (GHQ12). Results: Most (83.5%) of the workers suffered at least one MSD resulting in 15.7% disability rate. The most common reported symptoms were lower back pain (64.8%), upper back pain (61.7%), neck pain (47.4%) and shoulder pain (37.4%). Two multi factor-predictor logistic models fitted to the data showed that female sex, longer job duration and high GHQ12 score were significant predictors of MSDs while high GHQ12 score, sedentary lifestyle and alcohol drinking were significant predictors of MSD-associated disability. Conclusions: Attitudinal change, treatment and interventional programs may reduce the incidence of this common occupational injury.