Journal article
Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples
Diabetes care, v 45(4), pp 798-810
01 Apr 2022
PMID: 35104336
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We examined whether relative availability of fast-food restaurants and supermarkets mediates the association between worse neighborhood socioeconomic conditions and risk of developing type 2 diabetes (T2D).
As part of the Diabetes Location, Environmental Attributes, and Disparities Network, three academic institutions used harmonized environmental data sources and analytic methods in three distinct study samples: 1) the Veterans Administration Diabetes Risk (VADR) cohort, a national administrative cohort of 4.1 million diabetes-free veterans developed using electronic health records (EHRs); 2) Reasons for Geographic and Racial Differences in Stroke (REGARDS), a longitudinal, epidemiologic cohort with Stroke Belt region oversampling (N = 11,208); and 3) Geisinger/Johns Hopkins University (G/JHU), an EHR-based, nested case-control study of 15,888 patients with new-onset T2D and of matched control participants in Pennsylvania. A census tract-level measure of neighborhood socioeconomic environment (NSEE) was developed as a community type-specific z-score sum. Baseline food-environment mediators included percentages of 1) fast-food restaurants and 2) food retail establishments that are supermarkets. Natural direct and indirect mediating effects were modeled; results were stratified across four community types: higher-density urban, lower-density urban, suburban/small town, and rural.
Across studies, worse NSEE was associated with higher T2D risk. In VADR, relative availability of fast-food restaurants and supermarkets was positively and negatively associated with T2D, respectively, whereas associations in REGARDS and G/JHU geographies were mixed. Mediation results suggested that little to none of the NSEE-diabetes associations were mediated through food-environment pathways.
Worse neighborhood socioeconomic conditions were associated with higher T2D risk, yet associations are likely not mediated through food-environment pathways.
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Details
- Title
- Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples
- Creators
- Lorna E Thorpe - New York UniversitySamrachana Adhikari - New York UniversityPriscilla Lopez - New York UniversityRania Kanchi - New York UniversityLeslie A McClure - Drexel UniversityAnnemarie G Hirsch - Department of Population Health Sciences, Geisinger, Danville, PA.Carrie R Howell - University of Alabama at BirminghamAowen Zhu - University of Alabama at BirminghamFarrokh Alemi - George Mason UniversityPasquale Rummo - New York UniversityElizabeth L Ogburn - BloombergYasemin Algur - Drexel UniversityCara M Nordberg - Department of Population Health Sciences, Geisinger, Danville, PA.Melissa N Poulsen - Department of Population Health Sciences, Geisinger, Danville, PA.Leann Long - University of Alabama at BirminghamApril P Carson - University of Alabama at BirminghamShanika A DeSilva - Drexel UniversityMelissa Meeker - Drexel UniversityBrian S Schwartz - BloombergDavid C Lee - New York UniversityKaren R Siegel - Division of Diabetes Translation, National Center for chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.Giuseppina Imperatore - Division of Diabetes Translation, National Center for chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.Brian Elbel - New York University
- Publication Details
- Diabetes care, v 45(4), pp 798-810
- Publisher
- American Diabetes Association
- Grant note
- U01 DP006293 / NCCDPHP CDC HHS U01 DP006302 / NCCDPHP CDC HHS U01 DP006299 / NCCDPHP CDC HHS R01 DK124400 / NIDDK NIH HHS U01 DP006296 / NCCDPHP CDC HHS U01 NS041588 / NINDS NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000876491300013
- Scopus ID
- 2-s2.0-85128160404
- Other Identifier
- 991019173554304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Endocrinology & Metabolism