The association between optimal lifestyle-related health behaviors and employee productivity
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OBJECTIVE: To investigate the association between lifestyle-related health behaviors including sleep and the cluster of physical activity, no tobacco use, fruits and vegetables intake, and alcohol consumption termed the "Optimal Lifestyle Metric" (OLM), and employee productivity. METHODS: Data were obtained from employee health assessments (N = 18,079). Regression techniques were used to study the association between OLM and employee productivity, sleep and employee productivity, and the interaction of both OLM and sleep on employee productivity. RESULTS: Employees who slept less or more than 7 or 8 hours per night experienced significantly more productivity loss. Employees who adhered to all four OLM behaviors simultaneously experienced less productivity loss compared with those who did not. CONCLUSIONS: Adequate sleep and adherence to the OLM cluster of behaviors are associated with significantly less productivity loss.
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