Evidence map›Paper›PMID 40395685›Full record

ArticlePreventive medicine reports2025

Preferences for receiving diabetes prevention support and factors influencing healthy eating and physical activity and among patients with prediabetes in Chicago, Illinois.

Angela Kong, Mary Smart, Yuka Asada, Lourdes Deci Limpoco, Chuxian Tang, Janet Lin, Brian T Layden

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Angela KongDepartment of Pharmacy Systems, Outcomes, and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, IL, United States of America.
Mary SmartDepartment of Pharmacy Systems, Outcomes, and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, IL, United States of America.
Yuka AsadaDivision of Community Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, United States of America.
Lourdes Deci LimpocoSchool of Public Health, University of Illinois Chicago, Chicago, IL, United States of America.
Chuxian TangDivision of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL, United States of America.
Janet LinEmergency Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, United States of America.
Brian T LaydenDivision of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL, United States of America.

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

Objective: Lifestyle interventions that promote healthful eating and physical activity are recommended for individuals with prediabetes. However, individuals with low-income and racial and ethnic minority groups tend to be underserved by these programs. Therefore, this study aimed to examine patient preferences for delivery of diabetes prevention support and factors influencing healthful eating and physical activity in this sample of patients. Methods: Data from this qualitative study were collected from January 2023 through May 2023. Semi-structured interviews were conducted with 35 patients with prediabetes (hemoglobin A1c: 5.7 to 6.4 %) detected from screening in an urban emergency department in Chicago, Illinois. The emergency department primarily serves a racially and ethnically diverse patient population, especially individuals with low income. Themes were generated using both inductive and deductive methods. Initial codes were guided by the Capability, Opportunity, and Motivation Model for Behavior Change and Theoretical Domains Framework. Results: Most patients (85.7 %) were interested in diabetes prevention support and preferred text-based delivery with some interaction. Patients were aware (84 %) that diabetes could be delayed or even prevented but had limited knowledge of prediabetes and its management. Overall, patients were highly motivated to engage in lifestyle change; however, individuals that experienced food insecurity or lived in unsupportive environments encountered unique barriers. Conclusion: These findings highlight areas where diabetes prevention support (e.g., programs, services) can align their implementation with patient preferences and address basic needs. Taking such action might enhance uptake and engagement among groups at higher risk of diabetes who may not usually receive such support.

Indexed as

Diabetes preventionEmergency departmentLifestyle changePatientsPrediabetes

Identifiers

PMID40395685
PMCPMC12090240

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.