Abstract
Objective: To examine changes in cardiovascular disease (CVD) risk outcomes of overweight/obese adults with prediabetes. Methods: Using data from a randomized control trial of digital diabetes prevention program (d-DPP) with 599 participants. We applied the atherosclerotic CVD (ASCVD) risk calculator to predict 10-year CVD risk for d-DPP and small education (comparison) groups. Between-group risk changes at 4 and 12 months were compared using a repeated measures linear mixed-effect model. We examined within-group differences in proportion of participants over time for specific CVD risk factors using generalized estimating equations. Results: We found no differences between baseline 10-year ASCVD risk. Relative to the comparison group, the d-DPP group experienced greater reductions in predicted 10-year ASCVD risk at each follow-up visit and a significant group difference at 4 months (−0.96%; 95% confidence interval: −1.58%, −0.34%) (but not at 12 months). Additionally, we observed that the d-DPP group experienced a decreased proportion of individuals with hyperlipidemia (18% and 16% from baseline to 4 and 12 months), high-risk total cholesterol (8% from baseline to 12 months), and being insufficiently active (26% and 22% from baseline to 4 and 12 months at follow-up time points. Conclusions: Our findings suggest that a digitally adapted DPP may promote the prevention of cardiometabolic disease among overweight/obese individuals with prediabetes. However, given the lack of maintenance of effect on ASCVD risk at 12 months, there may also be a need for additional interventions to sustain the effect detected at 4 months.
Original language | English (US) |
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Pages (from-to) | 148-154 |
Number of pages | 7 |
Journal | Primary Care Diabetes |
Volume | 17 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2023 |
Keywords
- Cardiovascular risk factor
- Chronic disease prevention
- Digital health
- Lifestyle intervention
- Prediabetes
ASJC Scopus subject areas
- Nutrition and Dietetics
- Internal Medicine
- Endocrinology, Diabetes and Metabolism