OBJECTIVES: To analyze the association between physical inactivity in different domains and direct public healthcare expenditures in adults and to identify whether the clustering of physical inactivity in different domains would contribute to increased public healthcare. METHODS: The sample composed of 963 adults randomly selected in a middle-size Brazilian city. Annual healthcare expenditure was estimated including all items registered in the medical records in the last 12 months prior to the interview. Habitual physical activity was estimated using Baecke questionnaire, which considers three components of physical activity (work, sports and leisure-time activities). RESULTS: Higher healthcare expenditures of medicines were associated with lower physical activity at work (OR 1.58 [1.06-2.35]), sport (OR 1.57 [1.12-2.18]) and physical inactivity in three domains (OR 2.12 [1.18-3.78]). Expenditures related to medicine (r = 0.109 [95 % CI 0.046-0.171]) and overall expenditures (r = 0.092 [95 % CI 0.029-0.155]) were related to physical inactivity, independently of age, sex, smoking, blood pressure and obesity. CONCLUSIONS: Physically inactive subjects in different domains of physical activity have increased likelihood to be inserted at groups of higher healthcare expenditure.
OBJECTIVES: To analyze the association between physical inactivity in different domains and direct public healthcare expenditures in adults and to identify whether the clustering of physical inactivity in different domains would contribute to increased public healthcare. METHODS: The sample composed of 963 adults randomly selected in a middle-size Brazilian city. Annual healthcare expenditure was estimated including all items registered in the medical records in the last 12 months prior to the interview. Habitual physical activity was estimated using Baecke questionnaire, which considers three components of physical activity (work, sports and leisure-time activities). RESULTS: Higher healthcare expenditures of medicines were associated with lower physical activity at work (OR 1.58 [1.06-2.35]), sport (OR 1.57 [1.12-2.18]) and physical inactivity in three domains (OR 2.12 [1.18-3.78]). Expenditures related to medicine (r = 0.109 [95 % CI 0.046-0.171]) and overall expenditures (r = 0.092 [95 % CI 0.029-0.155]) were related to physical inactivity, independently of age, sex, smoking, blood pressure and obesity. CONCLUSIONS: Physically inactive subjects in different domains of physical activity have increased likelihood to be inserted at groups of higher healthcare expenditure.
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