Accumulation of Domain-Specific Physical Inactivity and Presence of Hypertension in Brazilian Public Healthcare System

J Phys Act Health. 2015 Nov;12(11):1508-12. doi: 10.1123/jpah.2014-0368. Epub 2015 Feb 24.


Background: Hypertension is one of the most common noncommunicable diseases worldwide, and physical inactivity is a risk factor predisposing to its occurrence and complications. However, it is still unclear the association between physical inactivity domains and hypertension, especially in public healthcare systems. Thus, this study aimed to investigate the association between physical inactivity aggregation in different domains and prevalence of hypertension among users of Brazilian public health system.

Methods: 963 participants composed the sample. Subjects were divided into quartiles groups according to 3 different domains of physical activity (occupational; physical exercises; and leisure-time and transportation). Hypertension was based on physician diagnosis.

Results: Physical inactivity in occupational domain was significantly associated with higher prevalence of hypertension (OR = 1.52 [1.05 to 2.21]). The same pattern occurred for physical inactivity in leisure-time (OR = 1.63 [1.11 to 2.39]) and aggregation of physical inactivity in 3 domains (OR = 2.46 [1.14 to 5.32]). However, the multivariate-adjusted model showed significant association between hypertension and physical inactivity in 3 domains (OR = 2.57 [1.14 to 5.79]).

Conclusions: The results suggest an unequal prevalence of hypertension according to physical inactivity across different domains and increasing the promotion of physical activity in the healthcare system is needed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index
  • Brazil / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Hypertension / epidemiology*
  • Hypertension / etiology
  • Male
  • Middle Aged
  • Motor Activity*
  • National Health Programs / statistics & numerical data*
  • Risk Factors
  • Sedentary Behavior*
  • Smoking / epidemiology
  • Social Environment*
  • Socioeconomic Factors
  • Statistics as Topic