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Journal article
How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
The annals of applied statistics, v 17(2), pp 1641-1662
01 Jun 2023
PMID: 39605799
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Built environment features (BEFs) refer to aspects of the human con-structed environment which may, in turn, support or restrict health related behaviors and thus impact health. In this paper we are interested in under-standing whether the spatial distribution and quantity of fast-food restaurants (FFRs) influence the risk of obesity in schoolchildren. To achieve this goal, we propose a two-stage Bayesian hierarchical modeling framework. In the first stage, examining the position of FFRs relative to that of some reference locations-in our case, schools-we model the distances of FFRs from these reference locations as realizations of inhomogenous Poisson processes (IPP). With the goal of identifying representative spatial patterns of exposure to FFRs, we model the intensity functions of the IPPs using a Bayesian nonpara-metric model, specifying a nested Dirichlet process prior. The second-stage model relates exposure patterns to obesity. We offer two different approaches to carry out the second stage; they differ in how they accommodate uncer-tainty in the exposure patterns. In the first approach, the odds of obesity at the school level is regressed on cluster indicators, each representing a ma-jor pattern of exposure to FFRs. In the second, we employ Bayesian kernel machine regression to relate the odds of obesity to the multivariate vector re-porting the degree of similarity of a given school to all other schools. Our analysis on the influence of patterns of FFR occurrence on obesity among Californian schoolchildren has indicated that, in 2010, among schools that are consistently assigned to a cluster, there is a lower odds of obesity among ninth graders who attend schools with most distant FFR occurrences in a one -mile radius, as compared to others.
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Details
- Title
- How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions
- Creators
- Adam T. Peterson - University of MichiganVeronica J. Berrocal - University of California, IrvineEmma V. Sanchez-Vaznaugh - San Francisco State UniversityBrisa N. Sanchez - Drexel University, Urban Health Collaborative
- Publication Details
- The annals of applied statistics, v 17(2), pp 1641-1662
- Publisher
- INST MATHEMATICAL STATISTICS-IMS
- Number of pages
- 22
- Grant note
- R01-HL131610; R01-HL136718 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000985804300032
- Scopus ID
- 2-s2.0-85159844074
- Other Identifier
- 991021860718504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Statistics & Probability