ReviewPreventive medicine reports2024
A systematic review of diabetes prevention programs adapted to include family members.
Review in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Trial
- Article
- Adapting a culturally grounded diabetes prevention program for Latino families in the Phoenix, Arizona metropolitan area - A mixed methods approach.Preventive medicine reports · 2026Article
- The impact of genetic counseling on parental risk perception and prevention strategy utilization for type 2 diabetes in at-risk children.Journal of community genetics · 2025Article
- Engagement of coMmunity through Participatory learning and action for cOntrol and preVEntion of type II Diabetes and its Risk factors (EMPOWER-D) - A Protocol for a Cluster Randomised Controlled Trial.BMC public health · 2025Article
- What is the Role of Primary Prevention of Obesity in an Age of Effective Pharmaceuticals?Current obesity reports · 2025Review
- Partnership and marriage and risk of type 2 diabetes: a narrative review.Diabetologia · 2025Review
- Diabetes beliefs, perceived risk and health behaviours: an embedded mixed-methods analysis from the Richmond Stress and Sugar Study.BMJ open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Objectives: Family-based programs may be a strategy to prevent health conditions with hereditary risk such as diabetes. This review examined the state of the science regarding interventions that adapted the Diabetes Prevention Program (DPP) lifestyle change curriculum to include family members. Methods: CINAHL, Cochrane Central, PsycINFO, PubMed, and Scopus were searched for reports that were peer reviewed, written in English, evaluated interventions that adapted the DPP lifestyle change curriculum to be family-based, reported diabetes risk related outcomes, and published between 2002 and August 2023. Records were reviewed, data extracted, and quality assessed by two researchers working independently. A narrative synthesis was completed. Meta-analysis was not completed due to the small number of studies and the heterogeneity of the study characteristics. Results: 2177 records were identified with four meeting inclusion criteria. Primary participants for three studies were adults and one study focused on youth. Family participants were adult family members, children of the primary participant, or caregivers of the enrolled youth. For primary participants, two studies found significant intervention effects on weight-related outcomes. Of the studies with no intervention effects, one was a pilot feasibility study that was not powered to detect changes in weight outcomes. Three studies assessed outcomes in family participants with one finding significant intervention effects on weight. Conclusions: While DPP interventions adapted to include family showed promising or similar results as individual-based DPP interventions, additional studies are needed to better understand the mechanisms of action and the most effective methods to engage family members in the programs.
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What OpenQuestion holds
Registered trials
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.