51. Benefits of Participating With a Partner in the National Diabetes Prevention Program
- Author
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Katherine J. W. Baucom, Katherine A. Sauder, and Natalie D. Ritchie
- Subjects
Advanced and Specialized Nursing ,medicine.medical_specialty ,business.industry ,Endocrinology, Diabetes and Metabolism ,Family support ,e-Letters: Observations ,Attendance ,Psychological intervention ,030209 endocrinology & metabolism ,Overweight ,medicine.disease ,03 medical and health sciences ,0302 clinical medicine ,Diabetes management ,Weight loss ,Family medicine ,Health care ,Internal Medicine ,medicine ,030212 general & internal medicine ,Prediabetes ,medicine.symptom ,business - Abstract
The evidence-based National Diabetes Prevention Program (NDPP) can reduce type 2 diabetes risks, although strategies to improve outcomes are needed. Attendance and weight loss are suboptimal, especially among racial/ethnic minorities, and men are underrepresented (1). Promoting participation with household members may be important given risk concordance (2,3) and benefits of partner/family support in diabetes management interventions (2). Less is known about the role of close others in diabetes prevention. Here, we examined whether engaging in the NDPP with a household member improves outcomes. The NDPP was implemented in a safety net health care system following standard guidelines (4). During 2013–2017, 2,946 adults with diabetes risks (e.g., overweight/obesity, prediabetes) enrolled in classes, available in person at no cost, following outreach from NDPP coaches. Eligible patients were identified from medical records and provider and self-referrals. Individuals in the same class with a shared address were considered dyads. NDPP delivery was otherwise identical whether participants enrolled alone or with a household member. Outcomes included attending ≥1 session, percentage of sessions attended, duration, program completion (≥3 sessions attended in months 1–6 and duration ≥9 months), percent weight loss, and achieving ≥5% weight loss. t tests and χ2 analyses determined demographic differences …
- Published
- 2019