ArticleInternational journal of environmental research and public health2018
Resident Perceptions of Neighborhood Conditions, Food Access, Transportation Usage, and Obesity in a Rapidly Changing Central City.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Examining Nutritional Vulnerability in an Under-Resourced Community in Northeastern Connecticut.Nutrients · 2026Article
- Measurement tools to assess the obesogenic environment in neighborhood: a scoping review.BMC public health · 2025Article
- Neighborhood physical food environment and cardiovascular risk factors in India: Cross-sectional evidence from APCAPS.Environment international · 2019Article
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Authors and funding
1 author.
Funding
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Abstract
There is a lack of research on obesity that uses primary data and fine-grained information on neighborhoods. I use primary data for 367 participants in Detroit to examine neighborhood predictors of obesity. These data were supplemented with public data. I considered multilevel and spatial modeling, but the data lent itself best to ordinary least squares (OLS) regressions. I find that socioeconomic factors, the built environment, transportation usage, and perceptions of neighborhoods are important predictors of obesity. Importantly, litter is associated with higher levels of obesity. Planners can take measures to reduce litter and collaborate with other policy-makers to encourage less driving, though drawing direct lines of causality is complicated.
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