Document Type

Article

Publication Date

7-29-2025

Identifier

DOI: 10.1371/journal.pone.0329282; PMCID: PMC12306752

Abstract

The prevalence of type 2 diabetes is increasing among the Hispanic/Latino population. Type 2 diabetes incidence rates vary between neighborhoods, but no single aspect of the neighborhood environment is known to cause type 2 diabetes. Using data from the Hispanic Community Health Study/Study of Latinos cohort of 16,415 Hispanic/Latino adults in four major US cities, we conducted a neighborhood environment-wide association study to identify neighborhood measures or clusters of measures associated with diabetes incidence. Two-hundred and four neighborhood measures were calculated at the census tract level or within a 1-km buffer of participants' residential addresses. Independent covariate-adjusted and survey-weighted Poisson regressions were run for each neighborhood measure and incident diabetes. Principal component analysis of neighborhood measures was conducted to reduce dimensionality. No coherent pattern of neighborhood measures or principal component scores were associated with diabetes incidence within the cohort, though established individual-level risk factors such as age and family history were strongly associated with diabetes incidence. Results from our analysis did not indicate specific neighborhood measures, clusters, or patterns. Individual, rather than neighborhood, factors distinguish incident diabetes cases from non-cases.

Journal Title

PLoS One

Volume

20

Issue

7

First Page

0329282

Last Page

0329282

MeSH Keywords

Adult; Aged; Female; Humans; Male; Middle Aged; Cohort Studies; Diabetes Mellitus, Type 2; Hispanic or Latino; Incidence; Neighborhood Characteristics; Principal Component Analysis; Residence Characteristics; Risk Factors; United States

PubMed ID

40729312

Keywords

Cohort Studies; Diabetes Mellitus, Type 2; Hispanic or Latino; Incidence; Neighborhood Characteristics; Principal Component Analysis; Residence Characteristics; Risk Factors; United States

Comments

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publisher's Link: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0329282

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