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Abstract P245: Economic Residential Segregation is Associated With Obesity and Visceral Adiposity in Brazilian Women: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
Journal article

Abstract P245: Economic Residential Segregation is Associated With Obesity and Visceral Adiposity in Brazilian Women: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

Sharrelle Barber, Letícia Cardoso, Julianne Nelson, Rosane Griep, Maria M Fonseca, Sandhi Barreto, Luana Giatti, Lidvane V Camelo, Ana V Diez Roux and Dora Chor
Circulation (New York, N.Y.), v 139(Suppl_1)
05 Mar 2019
DOI: https://doi.org/10.1161/circ.139.suppl_1.P245

Abstract

Introduction: Obesity and obesity-related diseases are increasing globally with the sharpest increases occurring in low and middle-income countries. Economic residential segregation results in increased exposure to adverse neighborhood environments; however, the impact of segregation on markers of obesity have been mostly investigated in US-based samples. Using a novel spatial measure of neighborhood-level economic residential segregation (hereafter, segregation) we examined the association between segregation, obesity and visceral adiposity in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Methods: The sample included 6,104 women and 4,789 men ages 35-74 with complete geocoded information from the baseline examination of ELSA-Brasil (2008-2010). Segregation was based on data from the 2010 IBGE demographic census and calculated for study-defined neighborhoods using the local Gi* statistic— a spatially weighted z-score that represents how much a neighborhood’s income composition deviates from the larger metropolitan area. Body mass index (BMI) was calculated by dividing the participants’ measured weight in kilograms by their measured height in meters squared. Participants were considered “obese” if they had a BMI greater than 30 kg/m 2 . Visceral adiposity was assessed using measured waist circumference (in cm) as a proxy. Based on statistically significant interactions between gender and segregation, gender-stratified multivariable logistic and linear regression models were used to test associations between segregation and obesity status and visceral adiposity, respectively. Results: Approximately 14% of the sample resided in segregated neighborhoods. Blacks and Browns were more likely to reside in segregated neighborhoods than Whites (Blacks: 25.9%; Browns: 20.2%; Whites: 8.2%). The prevalence of obesity in the sample was 24% among women and 20% among men and was highest among Black women living in the most economically segregated neighborhood environments (35%). After adjusting for age, sex, race, education, income, and study site, segregation was positively associated with obesity among women (OR: 1.29, 95% CI: 1.07-1.56). Associations for men were not statistically significant (OR: 1.07; 95% CI: 0.85-1.34). Similar patterns were found for visceral adiposity among women (High Segregation, β=1.94 ± 0.51, p=0.0002; Medium Segregation, β=0.90 ± 0.39, p=0.0192) with no statistically significant findings among men. Conclusion: Women residing in economically segregated neighborhoods in Brazil appear to be at an increased risk of obesity and have higher levels of visceral adiposity. Black women may be at highest risk in these settings. Policies and/or structural interventions designed to improve neighborhood conditions may be viable strategies to mitigate the burden of obesity in this setting.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
Peripheral Vascular Disease
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