Resident Perceptions of Neighborhood Conditions, Food Access, Transportation Usage, and Obesity in a Rapidly Changing Central City

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,...

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Bibliographic Details
Published in:International journal of environmental research and public health 2018-06, Vol.15 (6), p.1201
Main Author: Mohamed, Rayman
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Body mass index
Environment Design
Fast Foods - statistics & numerical data
Female
Humans
Male
Michigan - epidemiology
Middle Aged
Obesity
Obesity - epidemiology
Residence Characteristics - statistics & numerical data
Risk Factors
Social factors
Social Perception
Socioeconomic data
Socioeconomic Factors
Socioeconomics
Spatial data
Studies
Transportation
Urban areas
Urban environments
Urbanization - trends
Young Adult
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Summary: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.
ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph15061201