%0 Journal Article
%T Relationship between body mass index and residential segregation in large cities of Latin America.
%A Doberti Herrera T
%A Rodríguez Osiac L
%A Flores-Alvarado S
%A Pérez Ferrer C
%A Higuera D
%A de Oliveira Cardoso L
%J BMC Public Health
%V 24
%N 1
%D 2024 Jun 22
%M 38909210
%F 4.135
%R 10.1186/s12889-024-19074-9
%X <B>BACKGROUND: </B>Obesity is a global health problem, and its connection with social and environmental factors is well-established. Social factors, such as urban segregation, may impact obesity through various mechanisms, including food and physical activity environments, as well as social norms and networks. This multilevel study aims to examine the effect of socio-economic residential segregation of Latin American cities on the obesity of individuals within those cities.<BR><B>METHODS: </B>We analyzed data from national surveys for a total of 59,340 individuals of 18-70 years of age, conducted in 156 cities across Brazil, Chile, Colombia, and Mexico between 2007 and 2013. We adjusted two-level linear mixed models for body mass index (BMI) stratified by sex and country, controlling for age, educational level and poverty. Separate models were built for dissimilarity and isolation segregation indices.<BR><B>RESULTS: </B>The relationships between segregation indices and BMI were mostly not statistically significant, and in some cases, they were opposite to what was expected. The only significant relationships were observed in Colombian men, using the dissimilarity index (-7.5 [95% CI: -14.4, -0.5]) and in Colombian women, using the isolation index (-7.9 [95% CI: -14.1, -1.7]).<BR><B>CONCLUSIONS: </B>While individual-level factors cannot fully explain differences among people in the same city, segregation indices may help. However, we found that in some cases, the relationship between BMI and segregation indices is opposite to what is expected based on prior literature. This should be considered in examining the phenomenon. Further research on obesogenic environments in segregated neighborhoods could provide valuable evidence.