Journal article
Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health
American journal of epidemiology, v 183(6), pp 583-592
15 Mar 2016
PMID: 26888753
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
It is well known that associations between features of the built environment and health depend on the geographic scale used to construct environmental attributes. In the built environment literature, it has long been argued that geographic scales may vary across study locations. However, this hypothesized variation has not been systematically examined due to a lack of available statistical methods. We propose a hierarchical distributed-lag model (HDLM) for estimating the underlying overall shape of food environment-health associations as a function of distance from locations of interest. This method enables indirect assessment of relevant geographic scales and captures area-level heterogeneity in the magnitudes of associations, along with relevant distances within areas. The proposed model was used to systematically examine area-level variation in the association between availability of convenience stores around schools and children's weights. For this case study, body mass index (weight kg)/height (m)(2)) z scores (BMIz) for 7th grade children collected via California's 2001-2009 FitnessGram testing program were linked to a commercial database that contained locations of food outlets statewide. Findings suggested that convenience store availability may influence BMIz only in some places and at varying distances from schools. Future research should examine localized environmental or policy differences that may explain the heterogeneity in convenience store-BMIz associations.
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Details
- Title
- Hierarchical Distributed-Lag Models: Exploring Varying Geographic Scale and Magnitude in Associations Between the Built Environment and Health
- Creators
- Jonggyu Baek - University of MichiganEmma V. Sanchez-Vaznaugh - University of California, San FranciscoBrisa N. Sanchez - Biostatistical Consulting (United States)
- Publication Details
- American journal of epidemiology, v 183(6), pp 583-592
- Publisher
- Oxford Univ Press
- Number of pages
- 10
- Grant note
- K01 HL115471 / National Heart, Lung, and Blood Institute; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) P01ES022844; P20ES018171 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA P20ES018171 / NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS) K01HL115471 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) 69699 / Robert Wood Johnson Foundation; Robert Wood Johnson Foundation (RWJF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000372579500010
- Scopus ID
- 2-s2.0-84962164810
- Other Identifier
- 991020100198004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health