A Phase 2 interventional study of Culturally Tailored Diabetes Prevention Program and Culturally Tailored DPP Enhanced with Socioeconomic Supports in PreDiabetes and Overweight and Obesity, sponsored by University of Missouri, Kansas City. Recruiting at 2 sites in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-05-25.
Sponsored by University of Missouri, Kansas City · Phase 2, Interventional, and Prevention
African Americans (AAs) have rates of diabetes mellitus (DM) twice that of Whites and are disproportionately affected by leading risk factors for DM - obesity and low-income. A critical strategy in the battle against DM is the Diabetes Prevention Program (DPP), an evidence-based intervention that significantly delays or prevents Type 2 diabetes through the promotion of diet change, exercise and modest weight loss. However, weight loss from the DPP among AAs is about half that of White participants, and suboptimal AA attendance is a critical contributor. The investigators propose to conduct a study that will address social determinants (SD) that challenge DPP attendance with underserved African Americans from a safety net hospital. The investigators will examine DPP attendance and weight loss with participants randomized to 3 groups: standard DPP, a culturally-tailored DPP to address acceptability, and a culturally-tailored DPP enhanced to address socioeconomic-related barriers to DPP participation. This novel study is the first to tailor the DPP to address SD cultural and socioeconomic barriers that limit DPP attendance and reduce its effectiveness on outcomes. The proposed multidimensional, SD tailored DPP has great potential to be a feasible and scalable model to reduce DM risks among urban, African Americans and ultimately reduce DM disparities.
African Americans (AAs) are disproportionately burdened by diabetes mellitus (DM) with rates twice as high as Whites (13% vs 7.5%), and increased rates of DM-related complications and comorbidities (e.g. amputations, cardiovascular disease). A key pre-DM risk factor is overweight/obesity. Nearly 70% of AAs are overweight or obese, with higher rates among AAs with low-income. A critical component of national efforts to reduce growing obesity rates and prevent DM is the Diabetes Prevention Program (DPP), a lifestyle intervention proven to reduce or delay DM onset with diet change, exercise, and modest weight loss (5-7%) in a rigorously evaluated national trial. A group-based version of the DPP has been widely disseminated and numerous community-based trials support its efficacy. In spite of these successes, there are significant health disparities in DPP attendance and outcomes and considerable room exists for improving success rates among AAs, a population that tends to experience half the amount of DPP weight loss compared to Whites. The investigators aim to build on our promising pilot studies by tailoring the DPP via a social determinants (SD) of health lens to achieve optimal DPP attendance and clinically meaningful weight loss with pre-DM AAs. This includes tailoring on cultural and socioeconomic SD mechanisms that are associated with improving health outcomes and align with predisposing needs among AAs who are primarily of low-income and live in low-resource AA communities.
The investigators propose a randomized controlled trial of 360 pre-DM AA patients from a safety net hospital (SNH) to test a standard DPP (S-DPP) against a culturally tailored DPP (TC-DPP; e.g., tailoring of language, foods, values, religiosity, norms, values) alone and a culturally tailored DPP enhanced to address access and support related economic barriers (TCE-DPP; hybrid group/online/text DPP; community health worker support to improve access to DPP classes, healthy food, exercise, and other community and health resources; and class promotions) over 12 months. The investigators will: 1) examine effects of TC-DPP and TCE-DDP on percent weight loss and attendance (primary outcomes) and on secondary outcomes (physical activity, completion of physician follow-up visit, hbA1c, and blood pressure) at 6 and 12 months with SNH AAs, 2) evaluate potential mediators/ moderators related to weight loss and attendance among AA SNH patients at 6 and 12 months to determine modifiable facilitators and barriers, and 3) conduct a process evaluation to examine TCE-DPP acceptability, feasibility, and fidelity, and relationships between delivery dose, exposure, costs, and outcomes to identify and improve essential intervention components. Our multidimensional DPP interventions are guided by our past pilots, and based on components that, all together, were used to help drive clinically important outcomes in the original DPP trial - and are certainly needed to achieve similar outcomes with AA primarily of low-income. To our knowledge this is the first study to test multidimensional tailoring via an SD lens to truly impact DPP attendance and outcomes, and has potential to be a feasible, scalable model to reduce DM disparities among at-risk AA.
918 studies on the registry are indexed under Prediabetic State; 232 are open to participants now.
This study's planned enrollment of 360 is above the median of 62 across 762 interventional studies indexed under Prediabetic State.
Browse Prediabetic State studies →University of Missouri, Kansas City is the lead sponsor of 48 studies on the registry; 9 are open to participants now.
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Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.
What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.
BMI (body mass index)
Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.
What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Standard Diabetes Prevention Program (DPP)
Behavioral: Diabetes Prevention Program
DPP culturally tailored for African Americans
Behavioral: Culturally Tailored Diabetes Prevention Program · Behavioral: Diabetes Prevention Program
Culturally tailored DPP plus promotions for class attendance, hybrid attendance (in-person and virtual), and linkage to care services provided by a community health worker
Behavioral: Culturally Tailored Diabetes Prevention Program · Behavioral: Culturally Tailored DPP Enhanced with Socioeconomic Supports · Behavioral: Diabetes Prevention Program
This intervention includes a culturally tailored DPP curriculum, class procedures, and handouts
Also known as: Culturally Tailored DPP
This intervention includes the culturally tailored DPP curriculum, class procedures, and handouts along with promotional items for class participation, opportunities to attend class in-person or virtually through a digital platform, and assistance from a community health worker to provide linkage to health care services and community resources
Also known as: FIT4ALL
This is the CDC TD2 evidence-based Diabetes Prevention Program
Also known as: DPP
Percent Weight Loss
Percentage of weight loss from initial baseline weight
Time frame: 6 months
Percent Weight Loss
Percentage of weight loss from initial baseline weight
Time frame: 12 months
DPP Class Attendance
Number and proportion of the classes attended
Time frame: 6 months
DPP Class Attendance
Number and proportion of the classes attended
Time frame: 12 months
Physical Activity
Self-reported hours/minutes of physical activity in past week
Time frame: 6 months
Physical Activity
Self-reported hours/minutes of physical activity in past week
Time frame: 12 months
Blood pressure
Systolic and diastolic blood pressure will be measured
Time frame: 6 months
Blood pressure
Systolic and diastolic blood pressure will be measured
Time frame: 12 months
Blood glucose
Hemoglobin A1C
Time frame: 6 months
Blood glucose
Hemoglobin A1C
Time frame: 12 months
Office/clinic visits
Proportion of participants with a physician office/clinic visit
Time frame: 12 months
Plan to share: Undecided
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University of Missouri, Kansas City