Evidence map›Paper›PMID 35104336›Full record

ArticleDiabetes care2022

Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples.

Lorna E Thorpe, Samrachana Adhikari, Priscilla Lopez, Rania Kanchi, Leslie A McClure, Annemarie G Hirsch, Carrie R Howell, Aowen Zhu, Farrokh Alemi, Pasquale Rummo and 13 more

Abstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The social environment and cognitive aging over the life course: laying out critical concepts and research gaps.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Article
  5. Area deprivation, social vulnerability, and post-pregnancy blood pressure.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Article
  7. Article
  8. Assessing Measurement Invariance in Neighborhood Socioeconomic Environment Across Levels of Urbanicity.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
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  10. Article
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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

23 authors.

Lorna E ThorpeDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Samrachana AdhikariDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Priscilla LopezDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Rania KanchiDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.ORCID 0000-0001-7882-4550
Leslie A McClureDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA.
Annemarie G HirschDepartment of Population Health Sciences, Geisinger, Danville, PA.ORCID 0000-0001-7699-2171
Carrie R HowellDivision of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL.
Aowen ZhuDepartment of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL.
Farrokh AlemiDepartment of Health Administration and Policy, George Mason University, Fairfax, VA.
Pasquale RummoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Elizabeth L OgburnDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.
Yasemin AlgurDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA.
Cara M NordbergDepartment of Population Health Sciences, Geisinger, Danville, PA.
Melissa N PoulsenDepartment of Population Health Sciences, Geisinger, Danville, PA.
Leann LongDepartment of Biostatistics, University of Alabama at Birmingham School of Public Health, Birmingham, AL.
April P CarsonDepartment of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL.ORCID 0000-0002-7970-6756
Shanika A DeSilvaDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA.
Melissa MeekerDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA.
Brian S SchwartzDepartment of Population Health Sciences, Geisinger, Danville, PA.ORCID 0000-0002-0739-9865
David C LeeDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.
Karen R SiegelDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.ORCID 0000-0002-6967-9088
Giuseppina ImperatoreDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Brian ElbelDepartment of Population Health, New York University Grossman School of Medicine, New York, NY.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Component A: Impact of Community Factors on Geographic Disparities in Diabetes and Obesity NationwideU01DP006299 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA · 2017 to 2021
$4.1M
Component A: A multi-level study of community context and type 2 diabetes and coronary heart disease using electronic health record and new primary data across nested geographies in PennsylvaniaU01DP006296 · DP · GEISINGER CLINIC · PI HIRSCH, ANNEMARIE GREGORY · 2017 to 2021
$3.8M
Prioritizing county-level social determinants that contribute to the greater burden of diabetes and hypertension in the USU01DP006302 · DP · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CARSON, APRIL P · 2017 to 2021
$3.6M
The Impact of the Food Environment and Other Environmental Exposures on the Risk of Diabetes in Rural SettingsR01DK124400 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEE, DAVID C · 2020 to 2024
$3.5M
Component B: Coordinating Center for Community Characteristics Associated with Geographic Disparities in DiabetesU01DP006293 · DP · DREXEL UNIVERSITY · PI MCCLURE, LESLIE AIN · 2017 to 2021
$3.1M
NCCDPHP CDC HHS U01 DP006293NCCDPHP CDC HHS U01 DP006296NCCDPHP CDC HHS U01 DP006299NCCDPHP CDC HHS U01 DP006302NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK124400NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

objectiveWe examined whether relative availability of fast-food restaurants and supermarkets mediates the association between worse neighborhood socioeconomic conditions and risk of developing type 2 diabetes (T2D). RESEARCH DESIGN AND

methodsAs part of the Diabetes Location, Environmental Attributes, and Disparities Network, three academic institutions used harmonized environmental data sources and analytic methods in three distinct study samples: 1) the Veterans Administration Diabetes Risk (VADR) cohort, a national administrative cohort of 4.1 million diabetes-free veterans developed using electronic health records (EHRs); 2) Reasons for Geographic and Racial Differences in Stroke (REGARDS), a longitudinal, epidemiologic cohort with Stroke Belt region oversampling (N = 11,208); and 3) Geisinger/Johns Hopkins University (G/JHU), an EHR-based, nested case-control study of 15,888 patients with new-onset T2D and of matched control participants in Pennsylvania. A census tract-level measure of neighborhood socioeconomic environment (NSEE) was developed as a community type-specific z-score sum. Baseline food-environment mediators included percentages of 1) fast-food restaurants and 2) food retail establishments that are supermarkets. Natural direct and indirect mediating effects were modeled; results were stratified across four community types: higher-density urban, lower-density urban, suburban/small town, and rural.

resultsAcross studies, worse NSEE was associated with higher T2D risk. In VADR, relative availability of fast-food restaurants and supermarkets was positively and negatively associated with T2D, respectively, whereas associations in REGARDS and G/JHU geographies were mixed. Mediation results suggested that little to none of the NSEE-diabetes associations were mediated through food-environment pathways.

conclusionsWorse neighborhood socioeconomic conditions were associated with higher T2D risk, yet associations are likely not mediated through food-environment pathways.

Indexed as

Diabetes Mellitus, Type 2StrokeCase-Control StudiesFood SupplyHumansResidence CharacteristicsSocioeconomic Factors

Identifiers

PMID35104336
PMCPMC9016733

What OpenQuestion holds

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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.