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Statistical Methods to Study Variation in Associations Between Food Store Availability and Body Mass in the Multi-Ethnic Study of Atherosclerosis
Journal article   Open access   Peer reviewed

Statistical Methods to Study Variation in Associations Between Food Store Availability and Body Mass in the Multi-Ethnic Study of Atherosclerosis

Jonggyu Baek, Jana A. Hirsch, Kari Moore, Loni Philip Tabb, Tonatiuh Barrientos-Gutierrez, Lynda D. Lisabeth, Ana V. Diez-Roux and Brisa N. Sanchez
Epidemiology (Cambridge, Mass.), v 28(3), pp 403-411
01 May 2017
DOI: https://doi.org/10.1097/EDE.0000000000000631
PMID: 28145983
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://europepmc.org/articles/pmc5378605View
Accepted (AM) Open Open Access (License Unspecified)

Abstract

Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
Research linking characteristics of the neighborhood environment to health has relied on traditional regression methods where prespecified distances from participant's locations or areas are used to operationalize neighborhood-level measures. Because the relevant spatial scale of neighborhood environment measures may differ across places or individuals, using prespecified distances could result in biased association estimates or efficiency losses. We use novel hierarchical distributed lag models and data from the Multi-Ethnic Study of Atherosclerosis (MESA) to (1) examine whether and how the association between the availability of favorable food stores and body mass index (BMI) depends on continuous distance from participant locations (instead of traditional buffers), thus allowing us to indirectly infer the spatial scale at which this association operates; (2) examine if the spatial scale and magnitude of the association differs across six MESA sites, and (3) across individuals. As expected, we found that the association between higher availability of favorable food stores within closer distances from participant's residential location was stronger than at farther distances, and that the magnitude of the adjusted association declined quickly from zero to two miles. Furthermore, between-individual heterogeneity in the scale and magnitude of the association was present; the extent of this heterogeneity was different across the MESA sites. Individual heterogeneity was partially explained by sex. This study illustrated novel methods to examine how neighborhood environmental factors may be differentially associated with health at different scales, providing nuance to previous research that ignored the heterogeneity found across individuals and contexts.

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8 citations in Scopus

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Collaboration types
Domestic collaboration
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Web of Science research areas
Public, Environmental & Occupational Health
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