Evidence map›Paper›PMID 38401397›Full record

ArticleHealth & place2024

Neighborhood built and food environment in relation to glycemic control in people with type 2 diabetes in the moving to health study.

Dori E Rosenberg, Maricela F Cruz, Stephen J Mooney, Jennifer F Bobb, Adam Drewnowski, Anne Vernez Moudon, Andrea J Cook, Philip M Hurvitz, Paula Lozano, Jane Anau and 2 more

Abstract read
In one paragraph

Article in Health & place, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Relationship Between Food Environments and Health Outcomes: A Case Study in Lansing, Michigan.International journal of environmental research and public health · 2025
    Article
  2. Article
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

12 authors.

Dori E RosenbergKaiser Permanente Washington Health Research Institute, USA. Electronic address: Dori.E.Rosenberg@kp.org.
Maricela F CruzKaiser Permanente Washington Health Research Institute, USA. Electronic address: Maricela.F.Cruz@kp.org.
Stephen J MooneyUniversity of Washington, Department of Epidemiology, USA. Electronic address: sjm2186@uw.edu.
Jennifer F BobbKaiser Permanente Washington Health Research Institute, USA. Electronic address: Jennifer.F.Bobb@kp.org.
Adam DrewnowskiUniversity of Washington, Department of Epidemiology, USA. Electronic address: adamdrew@uw.edu.
Anne Vernez MoudonUniversity of Washington, Department of Urban Design and Planning, USA. Electronic address: moudon@uw.edu.
Andrea J CookKaiser Permanente Washington Health Research Institute, USA. Electronic address: Andrea.J.Cook@kp.org.
Philip M HurvitzUniversity of Washington, Center for Studies in Demography and Ecology, USA. Electronic address: phurvitz@uw.edu.
Paula LozanoKaiser Permanente Washington Health Research Institute, USA. Electronic address: Paula.Lozano@kp.org.
Jane AnauKaiser Permanente Washington Health Research Institute, USA. Electronic address: Jane.A.Anau@kp.org.
Mary Kay TheisKaiser Permanente Washington Health Research Institute, USA. Electronic address: Kay.K.Theis@kp.org.
David E ArterburnKaiser Permanente Washington Health Research Institute, USA. Electronic address: David.E.Arterburn@kp.org.

Funding

Moving to Health: How changing built environments impact weight and glycemic controlR01DK114196 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ARTERBURN, DAVID ERIC, DREWNOWSKI, ADAM · 2017 to 2021
$2.7M
NIDDK NIH HHS R01 DK114196
6 · The paper itself

Abstract

objectiveTo examine whether built environment and food metrics are associated with glycemic control in people with type 2 diabetes. RESEARCH DESIGN AND

methodsWe included 14,985 patients with type 2 diabetes using electronic health records from Kaiser Permanente Washington. Patient addresses were geocoded with ArcGIS using King County and Esri reference data. Built environment exposures estimated from geocoded locations included residential unit density, transit threshold residential unit density, park access, and having supermarkets and fast food restaurants within 1600-m Euclidean buffers. Linear mixed effects models compared mean changes of HbA1c from baseline at 1, 3 (primary) and 5 years by each built environment variable.

resultsPatients (mean age = 59.4 SD = 13.2, 49.5% female, 16.6% Asian, 9.8% Black, 5.5% Latino/Hispanic, 57.1% White, 20% insulin dependent, mean BMI = 32.7±7.7) had an average of 6 HbA1c measures available. Participants in the 1st tertile of residential density (lowest) had a greater decline in HbA1c (-0.42, -0.43, and -0.44 in years 1, 3, and 5 respectively) than those in the 3rd tertile (HbA1c = -0.37 at 1- and 3-years and -0.36 at 5-years; all p-values <0.05). Having any supermarkets within 1600 m of home was associated with a greater decrease in HbA1c at 1-year and 3-years compared to having none (all p-values <0.05).

conclusionsLower residential density and better proximity to supermarkets may benefit HbA1c control in people with people with type 2 diabetes. However, effects were small and indicate limited clinical significance.

Indexed as

Diabetes Mellitus, Type 2FemaleFoodGlycated HemoglobinGlycemic ControlHumansMaleMiddle AgedResidence CharacteristicsGlycated HemoglobinA1c levelEpidemiologyFoodGeospatial analysisWalking

Identifiers

PMID38401397
PMCPMC10957299

What OpenQuestion holds

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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.