Journal article
Age and sex differences in the association between neighborhood socioeconomic environment and incident diabetes: Results from the diabetes location, environmental attributes and disparities (LEAD) network
SSM - population health, v 24, pp 101541-101541
01 Dec 2023
PMID: 38021462
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective: Worse neighborhood socioeconomic environment (NSEE) may contribute to an increased risk of type 2 diabetes (T2D). We examined whether the relationship between NSEE and T2D differs by sex and age in three study populations. Research design and methods: We conducted a harmonized analysis using data from three independent longitudinal study samples in the US: 1) the Veteran Administration Diabetes Risk (VADR) cohort, 2) the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, and 3) a case-control study of Geisinger electronic health records in Pennsylvania. We measured NSEE with a z-score sum of six census tract indicators within strata of community type (higher density urban, lower density urban, suburban/small town, and rural). Community type-stratified models evaluated the likelihood of new diagnoses of T2D in each study sample using restricted cubic splines and quartiles of NSEE.Results: Across study samples, worse NSEE was associated with higher risk of T2D. We observed significant effect modification by sex and age, though evidence of effect modification varied by site and community type. Largely, stronger associations between worse NSEE and diabetes risk were found among women relative to men and among those less than age 45 in the VADR cohort. Similar modification by age group results were observed in the Geisinger sample in small town/suburban communities only and similar modification by sex was observed in REGARDS in lower density urban communities.Conclusions: The impact of NSEE on T2D risk may differ for males and females and by age group within different community types.
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Details
- Title
- Age and sex differences in the association between neighborhood socioeconomic environment and incident diabetes: Results from the diabetes location, environmental attributes and disparities (LEAD) network
- Creators
- Jalal Uddin - University of AlabamaSha Zhu - University of Alabama at BirminghamSamrachana Adhikari - New York UniversityCara M. Nordberg - Geisinger Health SystemCarrie R. Howell - University of Alabama at BirminghamGargya Malla - University of Alabama at BirminghamSuzanne E. Judd - University of Alabama at BirminghamAndrea L. Cherrington - University of Alabama at BirminghamPasquale E. Rummo - New York UniversityPriscilla Lopez - New York UniversityRania Kanchi - New York UniversityKaren Siegel - Woodruff Health Sciences CenterShanika A. De Silva - Drexel UniversityYasemin Algur - Drexel UniversityGina S. Lovasi - Drexel UniversityNora L. Lee - Drexel UniversityApril P. Carson - University of Mississippi Medical CenterAnnemarie G. Hirsch - Geisinger Health SystemLorna E. Thorpe - New York UniversityD. Leann Long - University of Alabama at Birmingham
- Publication Details
- SSM - population health, v 24, pp 101541-101541
- Publisher
- Elsevier
- Number of pages
- 14
- Grant note
- Department of Health and Human Service
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:001111807300001
- Scopus ID
- 2-s2.0-85176582958
- Other Identifier
- 991021811746104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health