Neighborhood environment and incident diabetes, a neighborhood environment-wide association study ('NE-WAS'): Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Neighborhood environment and incident diabetes, a neighborhood environment-wide association study ('NE-WAS'): Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

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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 Latin...

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Main Authors: Cara M Smith, Elizabeth W Spalt, Linda C Gallo, Jordan Carlson, Matthew Allison, Daniela Sotres-Alvarez, Christina Cordero, Qibin Qi, Earle C Chambers, Martha Daviglus, Amber Pirzada, Gregory A Talavera, Robert Kaplan, Joel D Kaufman, Stephen J Mooney
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0329282
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Summary: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.
ISSN:1932-6203

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