Evidence mapPaperPMID 39207760Full record

ArticleJAMA network open2024

Social Risk and Clinical Outcomes Among Adults With Type 2 Diabetes.

Rebekah J Walker, Joni S Williams, Sebastian Linde, Leonard E Egede

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Rebekah J WalkerDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.
Joni S WilliamsDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.
Sebastian LindeDepartment of Health Policy & Management, Texas A&M School of Public Health, College Station.
Leonard E EgedeDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York.

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DMR01DK118038 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Leonard E. Egede · 2022 to 2023
$1.3M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM)R01MD013826 · NIMHD · MEDICAL COLLEGE OF WISCONSIN · PI Leonard E. Egede, Rebekah J Walker · 2022 to 2023
$1.3M
Impact of structural racism on hospital/clinic closures, community assets, and health outcomes in urban communitiesR01MD018012 · STATE UNIVERSITY OF NEW YORK AT BUFFALO · 2025 to 2025
$631k
Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for ChangeR01MD017574 · STATE UNIVERSITY OF NEW YORK AT BUFFALO · 2025 to 2025
$626k
NIDDK NIH HHS R01 DK118038NIDDK NIH HHS R01 DK120861NIDDK NIH HHS R21 DK123720NIMHD NIH HHS R01 MD013826NIMHD NIH HHS R01 MD017574NIMHD NIH HHS R01 MD018012
6 · The paper itself

Abstract

Importance: No clear process exists for categorizing social risks in a way that informs effective social risk screening and intervention development. Objective: To investigate social risk profiles and associations of those profiles with clinical outcomes in adults with diabetes using latent profile analysis. Design, Setting, and Participants: For this cross-sectional study, a latent profile analysis was conducted using data for adults with type 2 diabetes collected at 2 primary care clinics in the Southeastern US from 2013 to 2014. Data were analyzed from November to December 2023. Main Outcomes and Measures: Participants completed validated questionnaires for 26 social risk factors within 5 domains of social determinants of health: socioeconomic, neighborhood, education, food, and social and community context. In addition, participants completed questions that assessed psychological risk and behavioral risk. A 3-step latent profile analysis was used to identify different subgroups within the sample. Profiles were then regressed on outcomes of hemoglobin A1c (HbA1c), blood pressure, and quality of life. Results: A total of 615 participants (mean [SD] age, 61.3 [10.9] years; 379 men [61.6%]) were included. Five latent class profiles were identified. The lowest risk group had significantly higher mental health-related quality of life compared with a group with higher neighborhood risk (β, 1.11; 95% CI, 0.67 to 1.55). The second group had low economic risk but high neighborhood risk and served as the reference group. The third group had high economic and neighborhood risk and had significantly higher blood pressure (β, 8.08; 95% CI, 2.16 to 14.01) compared with the reference. The fourth group had high psychological and behavioral risks but low socioeconomic and neighborhood risks. This group had significantly higher HbA1c (β, 0.47; 95% CI, 0.01 to 0.92) and lower mental health-related quality of life (β, -1.83; 95% CI, -2.41 to -1.24) compared with the reference. The highest risk group indicated high risk in all domains, had significantly higher HbA1c (β, 1.07; 95% CI, 0.50 to 1.63), and had lower mental health-related quality of life (β, -2.15; 95% CI, -2.87 to -1.42) compared with the reference. Conclusions and Relevance: These findings suggest that social risk profiles can be identified according to social, psychological, and behavioral risk domains and the health outcome of concern among adults with diabetes. Future work should consider the use of social risk profiles in intervention development and testing.

Indexed as

Diabetes Mellitus, Type 2Quality of LifeSocial Determinants of HealthAgedCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsSoutheastern United StatesSurveys and QuestionnairesGlycated Hemoglobin

Identifiers

PMID39207760
PMCPMC11362860

What Socratic 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 Socratic graph.