Evidence map›Paper›PMID 40729312›Full record

ArticlePloS one2025

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).

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 and 5 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Cara M SmithDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-7172-2997
Elizabeth W SpaltDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0008-3470-9954
Linda C GalloDepartment of Psychology, San Diego State University, San Diego, California, United States of America.ORCID https://orcid.org/0000-0002-3678-5888
Jordan CarlsonDepartment of Pediatrics, Children's Mercy Hospital and University of Missouri, Kansas City, Kansas City, Missouri, United States of America.
Matthew AllisonDepartment of Family Medicine, University of California San Diego, La Jolla, California, United States of America.
Daniela Sotres-AlvarezCollaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Christina CorderoDepartment of Psychology and Behavioral Medicine Research Center, University of Miami, Miami, Florida, United States of America.
Qibin QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Earle C ChambersDepartment of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Martha DaviglusInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Amber PirzadaInstitute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Gregory A TalaveraDepartment of Psychology, San Diego State University, San Diego, California, United States of America.
Robert KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Joel D KaufmanDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Stephen J MooneyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle Washington, United States of America.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
SOLAir: Environmental Factors and Diabetes Development in LatinosR01ES030994 · NIEHS · UNIVERSITY OF WASHINGTON · PI KAUFMAN, JOEL DANIEL · 2020 to 2025
$4.0M
Scripps Translational Science InstituteKL2TR001112 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2013 to 2017
$3.0M
Neighborhood Environments and Cardiometabolic Disorders in Hispanic/LatinosR01DK106209 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALLISON, MATTHEW A, GALLO, LINDA C · 2015 to 2018
$2.5M
NCATS NIH HHS KL2 TR001112NHLBI NIH HHS T32 HL007028NIDDK NIH HHS R01 DK106209NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES027792NIEHS NIH HHS R01 ES030994
6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 2Hispanic or LatinoNeighborhood CharacteristicsResidence CharacteristicsAdultAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedPrincipal Component AnalysisRisk FactorsUnited States

Identifiers

PMID40729312
PMCPMC12306752

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.