Antonio Fernando Boing1, S V Subramanian. 1. Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, 02115, USA, antonio.boing@ufsc.br.
Abstract
OBJECTIVES: The aim of this study was to analyze the association between area-level education and body mass index (BMI), waist circumference (WC) and obesity controlling for individual demographic and socioeconomic characteristics. METHODS: A cross-sectional population-based study was carried out with 1720 adults aged 20-59 in southern Brazil. We used multilevel modeling techniques to test whether area-level education was associated with BMI, WC and obesity regardless of individual-level characteristics. RESULTS: We observed a significant between-groups variance for both BMI and WC. Among women, area-level education explained 27.6 and 30.0% of the between-groups variance of BMI and WC, respectively. In the fully adjusted model, the WC was 4.67 cm higher (p < 0.05) and the BMI was 1.12 kg/m(2) higher (p < 0.05) in the women residents of low education neighborhoods compared to the residents of high education areas. In the same group, the chance of central obesity and general obesity was, respectively, 2.05 (IC95% 1.19-3.52) and 1.85 (IC95% 1.04-3.29) times higher. CONCLUSIONS: The findings suggest that neighborhood characteristics play an important role in the distribution of obesity and must be addressed by policy makers.
OBJECTIVES: The aim of this study was to analyze the association between area-level education and body mass index (BMI), waist circumference (WC) and obesity controlling for individual demographic and socioeconomic characteristics. METHODS: A cross-sectional population-based study was carried out with 1720 adults aged 20-59 in southern Brazil. We used multilevel modeling techniques to test whether area-level education was associated with BMI, WC and obesity regardless of individual-level characteristics. RESULTS: We observed a significant between-groups variance for both BMI and WC. Among women, area-level education explained 27.6 and 30.0% of the between-groups variance of BMI and WC, respectively. In the fully adjusted model, the WC was 4.67 cm higher (p < 0.05) and the BMI was 1.12 kg/m(2) higher (p < 0.05) in the women residents of low education neighborhoods compared to the residents of high education areas. In the same group, the chance of central obesity and general obesity was, respectively, 2.05 (IC95% 1.19-3.52) and 1.85 (IC95% 1.04-3.29) times higher. CONCLUSIONS: The findings suggest that neighborhood characteristics play an important role in the distribution of obesity and must be addressed by policy makers.
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