Physical inactivity of adults and 1-year health care expenditures in Brazil
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.
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).
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.
Physically inactive subjects in different domains of physical activity have increased likelihood to be inserted at groups of higher healthcare expenditure.
KeywordsCost control Motor activity Health expenditures Public health Adults
- Admiraal WM, van Valkengoed IG, L de Munter JS, et al (2011) The association of physical inactivity with Type 2 diabetes among different ethnic groups. Diabet Med 28:668–72. doi:10.1111/j.1464-5491.2011.03248.x
- Associação Brasileira de Empresas de Pesquisa (ABEP) (2010) Dados com base no Levantamento Sócio Econômico 2008—IBOPE. Disponible: www.abep.com.br. Accessed 10 March 2014
- Balducci S, Zanuso S, Nicolucci A et al (2010) Anti-inflammatory effect of exercise training in subjects with type 2 diabetes and the metabolic syndrome is dependent on exercise modalities and independent of weight loss. Nutr Metab Cardiovasc Dis 20:608–617. doi:10.1016/j.numecd.2009.04.015 CrossRefPubMedGoogle Scholar
- Brazilian Society of Hypertension (2010) VI Diretriz Brasileira de Hipertensão Arterial. Rev Bras Hipertens 17:4Google Scholar
- Kilsztajn S, Rossbach A, Câmara MB et al (2003) Serviços de saúde, gastos e envelhecimento da população brasileira. Rev Bras Estud Popul 20:93–108Google Scholar
- Kolbe-Alexander TL, Conradie J, Lambert EV (2013) Clustering of risk factors for non-communicable disease and healthcare expenditure in employees with private health insurance presenting for health risk appraisal: a cross-sectional study. BMC Public Health 21(13):1213. doi:10.1186/1471-2458-13-1213 CrossRefGoogle Scholar
- Lohman TG, Roche AF, Mertorell R (1988) Anthropometric Standardization Reference Manual. IHuman Kinectics Books, ChampaignGoogle Scholar
- Saha S, Carlsson KS, Gerdtham UG et al (2013) Are lifestyle interventions in primary care cost-effective?–An analysis based on a Markov model, differences-in-differences approach and the Swedish Björknäs study. PLoS One 8:e80672. doi:10.1371/journal.pone.0080672 CrossRefPubMedCentralPubMedGoogle Scholar
- World Health Organization. Promoting physical activity for health—a framework for action in the WHO European region. Steps toward a more physically active Europe. Regional office for Europe, 2006 [consulted 2014 April 06]. Available at: http://www.euro.who.int/Document/NUT/Instanbul_conf_edoc10.pdf