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Personal predictors of the longest episode of occupational sitting and their interaction with workplace support for health among workers in Accra: A cross-sectional analysis with sensitivity analyses
Affiliation:1. Department of Procurement and Supply Science, Koforidua Technical University, Koforidua, Eastern Region, Ghana;2. Division of Interdisciplinary Research and Practice, School of Health and Social Care, University of Essex, Colchester, Wivenhoe Park, CO4 3SQ, United Kingdom;3. Department of Health Promotion, Africa Centre for Epidemiology, Accra, P. O. Box AN 16284, Accra North, Ghana
Abstract:Many studies have identified personal factors associated with occupational sitting time, but none of them focused on the longest episode of occupational sitting (hereby referred to as continuous occupational sitting time) nor considered whether workplace support for health moderates the associations between these factors and continuous occupational sitting time. This study aimed to identify personal factors predicting continuous occupational sitting time and ascertained whether workplace support for health moderates the associations between these factors and continuous occupational sitting time. A cross-sectional design and an adapted hierarchical linear regression analysis was employed. The participants were 991 employees of public and private organizations in Accra, Ghana. Results were presented with hierarchical linear regression analysis. The ultimate predictors of continuous occupational sitting time at a minimum of p < 0.05 include age, job type, and job income. Workplace support for health significantly moderated the primary associations, which means that workplace support for health altered the strength of the associations between all predictors (except tenure) and continuous occupational sitting time. This study concludes that there are inequalities in continuous occupational sitting time between employee groups that can be modified by workplace support for health.
Keywords:Occupational sitting  Workplace support for health  Personal factors  Hierarchical linear regression  Ghana
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