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
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Author
Uddin, J.Zhu, S.
Adhikari, S.
Nordberg, C.M.
Howell, C.R.
Malla, G.
Judd, S.E.
Cherrington, A.L.
Rummo, P.E.
Lopez, P.
Kanchi, R.
Siegel, K.
de Silva, S.A.
Algur, Y.
Lovasi, G.S.
Lee, N.L.
Carson, A.P.
Hirsch, A.G.
Thorpe, L.E.
Long, D.L.
Affiliation
School of Public Health, Department of Internal Medicine, University of ArizonaIssue Date
2023-11-01
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Elsevier LtdCitation
Uddin, J., Zhu, S., Adhikari, S., Nordberg, C. M., Howell, C. R., Malla, G., ... & Long, D. L. (2023). 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, 24, 101541.Journal
SSM - Population HealthRights
© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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. © 2023 The AuthorsNote
Open access journalISSN
2352-8273Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1016/j.ssmph.2023.101541
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Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.