ArticlePreventing chronic disease2019
Putting the National Diabetes Prevention Program to Work: Predictors of Achieving Weight-Loss Goals in an Employee Population.
Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Effect of tailoring on weight loss among young adults receiving digital interventions: an 18 month randomized controlled trial.Translational behavioral medicine · 2021Trial
- Moving Diabetes Prevention Programs to the Workplace: A Qualitative Exploration of Barriers and Facilitators to Participant Engagement When Implemented by an Employer-Based Clinic.Preventing chronic disease · 2024Article
- Twelve-Month Reach and Effectiveness of a University-Based Diabetes Prevention Initiative.American journal of preventive medicine · 2024Article
- Staff resilience and innovation essential to New York City diabetes prevention programs going virtual during COVID-19 pandemic lockdowns.BMC health services research · 2023Article
- Type 2 Diabetes Prevention Programs-From Proof-of-Concept Trials to National Intervention and Beyond.Journal of clinical medicine · 2023Review
- Evaluation of the University of California Diabetes Prevention Program (UC DPP) Initiative.BMC public health · 2021Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
introductionDifferences in eligibility criteria and intervention characteristics have limited the generalizability of findings from studies of worksite translations of the National Diabetes Prevention Program (DPP). The objective of our study was to identify factors associated with achievement of the DPP's 5% weight-loss goal in the Vanderbilt University Medical Center (VUMC) Faculty and Staff Health and Wellness DPP from 2014 to 2017.
methodsWe analyzed data from a DPP worksite translation that adhered to national standards for program quality and intervention fidelity. We compared baseline characteristics and program metrics for participants who did and did not achieve the program's 5% weight-loss goal, and we developed a multivariable logistic regression model to identify independent predictors of achieving this goal.
resultsOf the 165 employees enrolled in the DPP from 2014 to 2017, 43.6% (n = 72) met the 5% weight-loss goal. Mean (standard deviation) percentage weight loss for the program was 5.2% (6.0%), or 4.8 (6.0) kg. The median (interquartile range) body mass index at baseline was lower among participants who achieved the 5% weight-loss goal than among those who did not (31.6 [29.4-37.4] vs 34.7 [31.5-39.2], P = .009), and participants who achieved the goal reported more physical activity minutes per week (166.0 [135.2-223.0] min vs 128.5 [83.2-169.8] min, P < .001). Session attendance was greater for participants achieving the 5% weight-loss goal (23 [21-25]) sessions vs 18 [12-21] sessions, P < .001). In the adjusted analysis, physical activity and session attendance remained significant predictors of achieving the 5% weight-loss goal.
conclusionSession attendance and physical activity independently predicted achievement of the 5% weight-loss goal in this worksite translation of the DPP. Strategies designed to improve these metrics may increase DPP success rates.
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