Community profiles in northeastern and central Pennsylvania characterized by distinct social, natural, food, and physical activity environments and their relation to type 2 diabetes.

Built environment Environmental factors Food environment Natural environment Social environment Type 2 diabetes

Journal

Environmental epidemiology (Philadelphia, Pa.)
ISSN: 2474-7882
Titre abrégé: Environ Epidemiol
Pays: United States
ID NLM: 101719527

Informations de publication

Date de publication:
Oct 2024
Historique:
received: 01 10 2023
accepted: 15 07 2024
medline: 22 8 2024
pubmed: 22 8 2024
entrez: 22 8 2024
Statut: epublish

Résumé

Understanding geographic disparities in type 2 diabetes (T2D) requires approaches that account for communities' multidimensional nature. In an electronic health record nested case-control study, we identified 15,884 cases of new-onset T2D from 2008 to 2016, defined using encounter diagnoses, medication orders, and laboratory test results, and frequency-matched controls without T2D (79,400; 65,069 unique persons). We used finite mixture models to construct community profiles from social, natural, physical activity, and food environment measures. We estimated T2D odds ratios (OR) with 95% confidence intervals (CI) using logistic generalized estimating equation models, adjusted for sociodemographic variables. We examined associations with the profiles alone and combined them with either community type based on administrative boundaries or Census-based urban/rural status. We identified four profiles in 1069 communities in central and northeastern Pennsylvania along a rural-urban gradient: "sparse rural," "developed rural," "inner suburb," and "deprived urban core." Urban areas were densely populated with high physical activity resources and food outlets; however, they also had high socioeconomic deprivation and low greenness. Compared with "developed rural," T2D onset odds were higher in "deprived urban core" (1.24, CI = 1.16-1.33) and "inner suburb" (1.10, CI = 1.04-1.17). These associations with model-based community profiles were weaker than when combined with administrative boundaries or urban/rural status. Our findings suggest that in urban areas, diabetogenic features overwhelm T2D-protective features. The community profiles support the construct validity of administrative-community type and urban/rural status, previously reported, to evaluate geographic disparities in T2D onset in this geography.

Sections du résumé

Background UNASSIGNED
Understanding geographic disparities in type 2 diabetes (T2D) requires approaches that account for communities' multidimensional nature.
Methods UNASSIGNED
In an electronic health record nested case-control study, we identified 15,884 cases of new-onset T2D from 2008 to 2016, defined using encounter diagnoses, medication orders, and laboratory test results, and frequency-matched controls without T2D (79,400; 65,069 unique persons). We used finite mixture models to construct community profiles from social, natural, physical activity, and food environment measures. We estimated T2D odds ratios (OR) with 95% confidence intervals (CI) using logistic generalized estimating equation models, adjusted for sociodemographic variables. We examined associations with the profiles alone and combined them with either community type based on administrative boundaries or Census-based urban/rural status.
Results UNASSIGNED
We identified four profiles in 1069 communities in central and northeastern Pennsylvania along a rural-urban gradient: "sparse rural," "developed rural," "inner suburb," and "deprived urban core." Urban areas were densely populated with high physical activity resources and food outlets; however, they also had high socioeconomic deprivation and low greenness. Compared with "developed rural," T2D onset odds were higher in "deprived urban core" (1.24, CI = 1.16-1.33) and "inner suburb" (1.10, CI = 1.04-1.17). These associations with model-based community profiles were weaker than when combined with administrative boundaries or urban/rural status.
Conclusions UNASSIGNED
Our findings suggest that in urban areas, diabetogenic features overwhelm T2D-protective features. The community profiles support the construct validity of administrative-community type and urban/rural status, previously reported, to evaluate geographic disparities in T2D onset in this geography.

Identifiants

pubmed: 39170821
doi: 10.1097/EE9.0000000000000328
pii: EE-D-23-00056
pmc: PMC11338261
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e328

Informations de copyright

Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest with regard to the content of this report.

Auteurs

Katherine A Moon (KA)

Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.

Melissa N Poulsen (MN)

Department of Population Health Sciences, Geisinger, Danville, PA.

Karen Bandeen-Roche (K)

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Annemarie G Hirsch (AG)

Department of Population Health Sciences, Geisinger, Danville, PA.

Joseph DeWalle (J)

Department of Population Health Sciences, Geisinger, Danville, PA.

Jonathan Pollak (J)

Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.

Brian S Schwartz (BS)

Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.
Department of Population Health Sciences, Geisinger, Danville, PA.

Classifications MeSH