The use of outdoor gyms is associated with women and low-income people: a cross-sectional study

Public Health. 2021 Jan:190:16-22. doi: 10.1016/j.puhe.2020.10.024. Epub 2020 Dec 14.

Abstract

Objective: To examine the prevalence, and the demographic, socio-economic, and health correlates to Outdoor Gyms (OGs) use for adults from a southern Brazilian city.

Study design: Population-based cross-sectional study.

Methods: A total of 431 adults (66.8% women) aged 18-87 years living in the surroundings of four OGs distributed in different regions of the city were randomly selected. Information about OG use for physical activity (PA) practice, and demographic, socio-economic, and health variables were collected by household interviews. Associations between independent variables and OG use were analyzed with results expressed as odds ratio (OR) and 95% confidence interval (95% CI).

Results: About one-third of participants (30.4%; 95% CI: 26.1-34.7) informed using OGs for PA practice, and 20.4% (95% CI 16.8-24.4) informed using it twice or more times a week (≥2x/week). Adjusted analysis indicated that the OG use ≥2x/week is higher for women (OR: 1.93; 95% CI: 1.11-3.35) and for those with lower family income (OR: 2.13; 95% CI: 1.03-4.13) than men and those with higher family income, respectively.

Conclusion: About 30% of the population uses OGs for PA practice. Women and low-income people are those who more commonly use OGs for PA practice. The installation of these facilities in public spaces may reduce social inequities related to leisure-time PA.

Keywords: Adults; Environmental intervention; Motor activity; Outdoor gym; Park improvement.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Brazil
  • Cities
  • Cross-Sectional Studies
  • Environment Design
  • Exercise*
  • Family Characteristics
  • Female
  • Fitness Centers / statistics & numerical data*
  • Humans
  • Interviews as Topic
  • Male
  • Middle Aged
  • Motor Activity
  • Population Surveillance
  • Poverty*
  • Prevalence
  • Residence Characteristics*
  • Socioeconomic Factors
  • Sports Equipment / statistics & numerical data*
  • Young Adult