ArticleCities (London, England)2022
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.
Article in Cities (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Review
- Exploring the nexus of urban form, transport, environment and health in large-scale urban studies: A state-of-the-art scoping review.Environmental research · 2024Article
- Ambient nitrogen dioxide in 47 187 neighbourhoods across 326 cities in eight Latin American countries: population exposures and associations with urban features.The Lancet. Planetary health · 2023Article
- Modeling walking accessibility to urban parks using Google Maps crowdsourcing database in the high-density urban environments of Hong Kong.Scientific reports · 2023Article
- City features related to obesity in preschool children: a cross-sectional analysis of 159 cities in six Latin American countries.Lancet regional health. Americas · 2023Article
- City-Level Travel Time and Individual Dietary Consumption in Latin American Cities: Results from the SALURBAL Study.International journal of environmental research and public health · 2022Article
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Authors and funding
12 authors.
Funding
Abstract
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.
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