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Individual attributes have been investigated to explain sedentary behavior. However, few studies have evaluated this association at the neighborhood level. This study aimed to determine the association between screen time (ST) among adolescents and perceived neighborhood characteristics. This cross-sectional study was conducted using a multistage household survey in Vespasiano, Brazil, in 2015-2016. Logistic regression analyses were performed to assess the associations between the adolescent self-reported ST (television, computer, and video game > 2 h/day) and neighborhood characteristics (green space, sidewalk maintenance, street lighting, social disorder, safety during the day, and risk of violence) reported by an adult. Four hundred and twenty-three adolescents aged 11-17 participated in the study. ST was reported by 74.0% of the adolescents. After adjustment for confounder variables, neighborhood characteristics did not remain associated with ST. The results evidence no associations between ST among adolescents and perceived neighborhood environment and indicate the need for future studies of this relation.

The aim of this study was to investigate the relationship between built and social environment and leisure-time physical activity (LTPA) among adults living in an urban center. The individual data was from the household survey and the environmental data was assessed through systematic social observation by trained observers on street segments of respondents' residences. The relationship between environmental factors and LTPA was examined using multilevel logistic regression. The prevalence of LTPA was 30.2% (95% CI 27.4-32.9%). Individuals living in census tracts with higher walking environment indicators (OR = 1.20; 95% CI 1.02 to 1.40) and safety (OR = 1.18; 95% CI 1.01 to 1.38) were more likely to be active during leisure time, even after adjusting for individual variables. Improving the built and social environment is an important step for achieving higher levels of LTPA in the population in a middle-income country.