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Sedentary lifestyles have been linked to higher rates of stroke, hypertension, depression, certain types of cancers, and cardiovascular disease, and increased risk of mortality. The link between physical inactivity and health has led to research on how physical activity (PA) interventions might improve health-related quality of life (HRQoL). Estimates of HRQoL improvements are typically focused on targeted at-risk groups, however. Given that almost half of the U.S. adult population is physically inactive, it would be helpful to broaden our understanding of how PA relates to quality of life for the population at large. In this study, we calculated the HRQoL gains attributable to PA across three nationally representative data sets that use different quality of life measures, and assessed the reliability in the results. The data sets used were the Medical Expenditure Panel Survey (MEPS), the Behavioral Risk Factor Surveillance System (BRFSS), and the National Health Interview Survey (NHIS). Quasi-likelihood regression modeling with a beta distribution was used to generate the estimates. We found mean HRQoL scores were very similar across the three data sets and the estimated HRQoLs gained from PA varied only slightly, suggesting that all three provide reliable estimates for the general population.

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