A multiscale spatial analysis of obesity determinants in Phoenix, Arizona

Taylor M. Oshan, Jordan Smith and Alexander Stewart Fotheringham

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Abstract: Obesity rates are recognized to be at epidemic levels in the United States, posing significant threats to both the health and financial security of the nation. The causes of obesity can vary but are often complex and multifactorial, and while many contributors can be targeted for interventions, an understanding of where these interventions are needed is necessary in order to implement effective policy. This has prompted an interest in incorporating geographic context into the analysis and modeling of obesity determinants, especially through the use of geographically weighted regression (GWR). This paper provides a critical review of previous GWR models of obesogenic processes and then presents a novel application of multiscale (M)GWR using the Phoenix metropolitan area as a case study. The results show that a mix of global and local processes are able to best model obesity rates in Phoenix and that MGWR is superior to both GWR and ordinary least squares. Best practices for building and interpreting MGWR models are suggested and policy formation strategies are recommended.

Date: 2019-07-19
New Economics Papers: this item is included in nep-hea
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:unfwj

DOI: 10.31219/osf.io/unfwj

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