Evidence map›Paper›PMID 34714343›Full record

ArticleJAMA network open2021

Longitudinal Analysis of Neighborhood Food Environment and Diabetes Risk in the Veterans Administration Diabetes Risk Cohort.

Rania Kanchi, Priscilla Lopez, Pasquale E Rummo, David C Lee, Samrachana Adhikari, Mark D Schwartz, Sanja Avramovic, Karen R Siegel, Deborah B Rolka, Giuseppina Imperatore and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  11. Epidemiology of Diabetic Kidney Disease among US Veterans.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Rania KanchiDepartment of Population Health, NYU Langone Health, New York, New York.
Priscilla LopezDepartment of Population Health, NYU Langone Health, New York, New York.
Pasquale E RummoDepartment of Population Health, NYU Langone Health, New York, New York.
David C LeeDepartment of Population Health, NYU Langone Health, New York, New York.
Samrachana AdhikariDepartment of Population Health, NYU Langone Health, New York, New York.
Mark D SchwartzDepartment of Population Health, NYU Langone Health, New York, New York.
Sanja AvramovicDepartment of Health Administration and Policy, George Mason University, Fairfax, Virginia.
Karen R SiegelDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia.
Deborah B RolkaDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia.
Giuseppina ImperatoreDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia.
Brian ElbelDepartment of Population Health, NYU Langone Health, New York, New York.
Lorna E ThorpeDepartment of Population Health, NYU Langone Health, New York, New York.

Funding

Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
NCCDPHP CDC HHS U01 DP006299NIA NIH HHS R01 AG049970NIA NIH HHS R56 AG049970
6 · The paper itself

Abstract

Importance: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. Objective: To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). Design, Setting, and Participants: This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. Exposures: Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. Results: The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. Conclusions and Relevance: These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.

Indexed as

Fast FoodsResidence CharacteristicsAdultAgedAged, 80 and overCohort StudiesDiabetes Mellitus, Type 2FemaleFood SupplyHumansMaleMiddle AgedRisk AssessmentUnited StatesUnited States Department of Veterans AffairsYoung Adult

Identifiers

PMID34714343
PMCPMC8556617

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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.