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Is city-level travel time by car associated with individual obesity or diabetes in Latin American cities? Evidence from 178 cities in the SALURBAL project
Journal article   Open access   Peer reviewed

Is city-level travel time by car associated with individual obesity or diabetes in Latin American cities? Evidence from 178 cities in the SALURBAL project

Xavier Delclòs-Alió, Daniel A. Rodríguez, Nancy López Olmedo, Carolina Pérez Ferrer, Kari Moore, Dalia Stern, Mariana Carvalho de Menezes, Letícia de Oliveira Cardoso, Xize Wang, Joanna M.N. Guimaraes, …
Cities, v 131
Dec 2022
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/j.cities.2022.103899View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Car use Congestion Travel time Diabetes Latin America Obesity
There is growing evidence that longer travel time by private car poses physical and mental risks. Individual-level obesity and diabetes, two of the main public health challenges in low- and middle-income contexts, could be associated to city-level travel times by car. We used individual obesity and diabetes data from national health surveys from individuals in 178 Latin American cities, compiled and harmonized by the SALURBAL project. We calculated city-level travel times by car using the Google Maps Distance Matrix API. We estimated associations between peak hour city-level travel time by car and obesity and diabetes using multilevel logistic regression models, while adjusting for individual characteristics and other city-level covariates. In our study we did not observe a relationship between city-level peak-hour travel time by car and individual obesity and diabetes, as reported in previous research for individual time spent in vehicles in high-income settings. Our results suggest that this relationship may be more complex in Latin America compared to other settings, especially considering that cities in the region are characterized by high degrees of population density and compactness and by a higher prevalence of walking and public transportation use. •Individual-level obesity and diabetes could be associated to city-level travel times in Latin American cities.•We examined individual obesity and diabetes data from national health surveys from 178 Latin American cities.•We calculated city-level travel times by car using the Google Maps Distance Matrix API.•We did not observe an association between city-level peak-hour travel time by car and individual obesity or diabetes.•This relationship may be more complex in Latin American cities, given their urban and transportation characteristics.

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Urban Studies
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