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GIS-based analysis of obesity and the built environment in the US

Bibliographic Data

ID12751128
AuthorsYanqing Xu (0000-0002-5004-9975, Louisiana State University), Lei Wang (0000-0001-5326-565X, Louisiana State University, corresponding author)
Year2014
Volume42
Issue1
Pages9-21
Publication date2014-10-13
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartography and Geographic Information Science (JOURNAL)
Journal identifiersISSN: 1523-0406 • E-ISSN: 1545-0465
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/15230406.2014.965748
OpenAlexW2053703568
LanguageEN
Citations received8
References cited42

This paper examines the statewide relationship between built environment and obesity at the county scale by using the Geographically Weighted Regression (GWR) method. The independent variables include three built environment factors – street connectivity, walk score, fast-food/full-service restaurants ratio – and two sociodemographic variables, race heterogeneity and poverty rate. The urban influence is considered as a covariate in the analysis. Through the regression model we found that walk score and street connectivity are negatively related to obesity, poverty rate and metro are positively related, and the fast-food/full-service restaurants ratio is not significant. A regionalization method is used to group US counties to regions based on their GWR coefficients. Qualitative inferences of policies are made available to facilitate better understanding of the obesity problem associated with the built environment in these regions

Built environment · Civil engineering · Covariate · Econometrics · Economic growth · Economics · Environmental health · Geographically Weighted Regression · Geography · Logistic regression · Obesity · Poverty · Regression analysis · Statistics · Transport engineering · Variables · Engineering · Mathematics · Medicine · Obesity, Physical Activity, Diet · Spatial and Panel Data Analysis · Urban Transport and Accessibility

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Unique citing works8
Citations per year0,73
Citation span2015 - 2025 (11)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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