Evidence map›Paper›PMID 42892868›Full record

ArticleDiabetes, obesity, and cardiometabolic CARE

Pathways to Binge Eating Among Black Adults With Type 2 Diabetes: A Grounded Theory Qualitative Study.

Rachel W Goode, Sarah M Godoy, Tyisha Harper-Cooks, Hannah Wolfe, Katie Olson, Ramine C Alexander, Ana Paola Campos, Julian Robles, Ximena Monserrat Arias, Tiffany L Gary-Webb

Abstract read
In one paragraph

Article in Diabetes, obesity, and cardiometabolic CARE. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rachel W GoodeSchool of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Sarah M GodoySchool of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Tyisha Harper-CooksUniversity of North Carolina at Chapel Hill Nutrition Research Institute, Kannapolis, NC.
Hannah WolfeSchool of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Katie OlsonSchool of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Ramine C AlexanderUniversity of North Carolina at Chapel Hill Nutrition Research Institute, Kannapolis, NC.ORCID https://orcid.org/0000-0003-3128-3536
Ana Paola CamposUniversity of North Carolina at Chapel Hill Nutrition Research Institute, Kannapolis, NC.
Julian RoblesUniversity of North Carolina at Chapel Hill Nutrition Research Institute, Kannapolis, NC.
Ximena Monserrat AriasUniversity of North Carolina at Chapel Hill Nutrition Research Institute, Kannapolis, NC.
Tiffany L Gary-WebbSchool of Public Health, University of Pittsburgh, Pittsburgh, PA.

Funding

Developing a Culturally-Relevant Digital Health Intervention to Treat Binge Eating and ObesityK23DK129832 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOODE, RACHEL W. · 2021 to 2025
$887k
NIDDK NIH HHS K23 DK129832
6 · The paper itself

Abstract

objectiveBlack adults with type 2 diabetes (T2D) are at higher risk for binge eating and often face challenges in achieving blood glucose control, which may be due to untreated disordered eating. Little is known about the influences on their eating behaviors in the context of T2D. This study explores factors influencing binge eating in Black adults with T2D and the perspectives of the diabetes self-management education and support (DSMES) providers treating them. RESEARCH DESIGN AND

methodsBlack adults with T2D experiencing at least two self-reported binge eating episodes a month (

resultsParticipants identified multilevel stressors and barriers that influenced their binge eating episodes and treatment. These factors ranged from societal to individual-level and physiological factors that led to active food restriction, emotional eating, feelings of deprivation, and binge eating. Providers acknowledged limited training in disordered eating and weight stigma and identified gaps in current DSMES.

conclusionsBinge eating in Black adults with T2D is shaped by structural, cultural, and psychological factors. Incorporating culturally responsive guidance, emotion-focused coping strategies, and routine screening for disordered eating into diabetes care may improve engagement and glycemic outcomes for this population.

Identifiers

PMID42892868
PMCPMC13675399

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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.