Evidence map›Paper›PMID 40760917›Full record

SynthesisNutrition reviews2026

Social Network Interventions for Improving Dietary Adherence Among Adults With Type 2 Diabetes: A Systematic Review.

Halimatou Alaofè, Abidemi Okechukwu, Sarah Yeo, Raymond Yurika, Oluchi Joan Kanma-Okafor, Jean D McClelland, Waliou Amoussa-Hounkpatin, John Ehiri

Abstract readSystematic Review
In one paragraph

Synthesis in Nutrition reviews, 2026. 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

8 authors.

Halimatou AlaofèHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.ORCID 0000-0002-3011-9673
Abidemi OkechukwuHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.
Sarah YeoHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.
Raymond YurikaHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.
Oluchi Joan Kanma-OkaforHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.
Jean D McClellandArizona Health Sciences Library, The University of Arizona, Tucson, AZ 85724, United States.
Waliou Amoussa-HounkpatinSchool of Nutrition and Food Science and Technology, University of Abomey-Calavi, Abomey-Calavi 01 BP 526, Benin.
John EhiriHealth Promotion Sciences, The University of Arizona, Tucson, AZ 85724, United States.

Funding

T32 Cancer Prevention and Control Training Program Addressing Health DisparitiesT32CA272303 · NCI · UNIVERSITY OF ARIZONA · PI Terry A Badger, Gloria D. Coronado · 2023 to 2026
$1.1M
Culturally Tailored Nutrition Therapy To Improve Dietary Adherence of Type 2 Diabetes Patients in Benin, AfricaK01TW012422 · FIC · UNIVERSITY OF ARIZONA · PI Halimatou Alaofe · 2022 to 2026
$739k
FIC NIH HHS K01 TW012422FIC NIH HHS K01TW012422National Institutes of Health Fogarty International Center K01TW012422NCI NIH HHS T32 CA272303NIH HHS
6 · The paper itself

Abstract

contextAdhering to recommended diets is essential for managing glycemic concentrations in type 2 diabetes (T2D). However, there is limited evidence on the effectiveness of interventions that leverage social networks to improve dietary adherence.

objectiveGiven the influence of social networks on health behavior, this review was conducted to assess the effectiveness of social network interventions involving families, friends, and peers in enhancing dietary adherence among people with T2D. DATA SOURCES: We searched for social network interventions in randomized controlled trials (RCTs) and controlled before-and-after studies aimed at improving dietary adherence and glycemic control across 7 databases and 2 trial registries up to October 2024. DATA EXTRACTION: Data extraction was conducted independently by 2 reviewers. Study quality was assessed using the Cochrane Revised Risk of Bias tool for randomized trials and the Risk of Bias in Nonrandomized Studies of Interventions tool for nonrandomized studies.

resultsTen studies were conducted from 2014 to 2023, including 9 RCTs and 1 quasi-RCT. Most involved family networks (n = 7), 2 centered on peer support, and 3 on significant others. Half of the studies reported improved dietary adherence, and 6 showed reduced hemoglobin A1C concentrations. Increased physical activity ranged from 18.6% to 23.6%, with 3 studies noting weight or BMI reductions. Two studies reported systolic (3.89 to 12.4 mm Hg) and diastolic (3.12 to 4.1 mm Hg) blood pressure decreases. One study reported a 0.52-point decrease in diabetes-related stress, and another noted a 27.6% improvement in quality of life. However, 6 studies had a high risk of bias and 2 had unclear risks, mainly due to detection and attrition bias.

conclusionsThe findings of review suggest social network interventions can enhance and sustain dietary adherence. However, the evidence is limited due to a lack of high-quality studies and considerable variability in intervention components. More rigorous research using standardized metrics and cost-effectiveness data is necessary to support evidence-based health service recommendations. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42023441223.

Indexed as

Diabetes Mellitus, Type 2DietPatient ComplianceSocial NetworkingSocial SupportAdherence InterventionsAdultExerciseGlycated HemoglobinHumansRandomized Controlled Trials as TopicGlycated Hemoglobincontrolled trialsdietary adherencesocial network or supporttype 2 diabetes

Identifiers

PMID40760917
PMCPMC13071806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.