ArticleInternational journal of environmental research and public health2022
City-Level Travel Time and Individual Dietary Consumption in Latin American Cities: Results from the SALURBAL Study.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Predictors of long-term maintenance of changes in fruit and vegetables intake: a longitudinal analysis within a randomized controlled community trial.The international journal of behavioral nutrition and physical activity · 2026Trial
- Prevalence of daily fruit and vegetable intake by socio-economic characteristics, women's empowerment, and climate zone: an ecological study in Latin American cities.Journal of nutritional science · 2025Article
- Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Review
- Lifestyle, Nutrition, and Environmental Factors Influencing Health Benefits.International journal of environmental research and public health · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
There is limited empirical evidence on how travel time affects dietary patterns, and even less in Latin American cities (LACs). Using data from 181 LACs, we investigated whether longer travel times at the city level are associated with lower consumption of vegetables and higher consumption of sugar-sweetened beverages and if this association differs by city size. Travel time was measured as the average city-level travel time during peak hours and city-level travel delay time was measured as the average increase in travel time due to congestion on the street network during peak hours. Vegetables and sugar-sweetened beverages consumption were classified according to the frequency of consumption in days/week (5-7: "frequent", 2-4: "medium", and ≤1: "rare"). We estimate multilevel ordinal logistic regression modeling for pooled samples and stratified by city size. Higher travel time (Odds Ratio (OR) = 0.65; 95% Confidence Interval (CI) 0.49-0.87) and delay time (OR = 0.57; CI 0.34-0.97) were associated with lower odds of frequent vegetable consumption. For a rare SSB consumption, we observed an inverse association with the delay time (OR = 0.65; CI 0.44-0.97). Analysis stratified by city size show that these associations were significant only in larger cities. Our results suggest that travel time and travel delay can be potential urban determinants of food consumption.
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