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Environmental factors and cardiovascular diseases: the association of income inequality and green spaces in elderly residents of São Paulo, Brazil
  1. Kaio Henrique Correa Massa1,
  2. Roman Pabayo2,
  3. Maria Lúcia Lebrão1,
  4. Alexandre Dias Porto Chiavegatto Filho1
  1. 1Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil
  2. 2Department of Community Health Sciences, University of Nevada, Reno, Nevada, USA
  1. Correspondence to Kaio Henrique Correa Massa; kaiomassa{at}usp.br

Abstract

Objective We aimed to analyse the individual and contextual determinants associated with cardiovascular diseases (CVDs) morbidity among the elderly.

Methods The sample consisted of 1333 individuals aged 60 or older residing in the city of São Paulo, from the Health, Welfare and Aging (SABE) study survey performed in 2010. The association between CVD with both income inequality and green spaces was analysed using Bayesian multilevel models, controlling for individual and contextual factors.

Results We found a significant association between income inequality and green spaces, and risk of CVD. In comparison to elderly residents in areas with low-income inequality, there was an increased risk for CVD among those residing in the medium–low (OR=1.35, 95% CI 1.15 to 1.59), medium–high (OR=2.71, 95% CI 2.18 to 3.36) and high (OR=1.43, 95% CI 1.14 to 1.79) quartiles of income inequality. Those living in medium–low (OR=0.44, 95% CI 0.39 to 0.49), medium–high (OR=0.56, 95% CI 0.48 to 0.65) and high (OR=0.48, 95% CI 0.43 to 0.55) green spaces levels had lower risk of CVD.

Conclusions These findings highlight the importance of area-level characteristics on CVD risk and the need to develop healthcare policies focused on the effect of individual and contextual characteristics.

  • Social inequalities
  • Cardiovascular disease
  • Elderly
  • Multilevel modelling

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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