Shaw Receives Award for Weight Loss Study

Shaw Receives Award for Weight Loss Study

ryan shawCongratulations to Ryan Shaw, associate professor, Jane Pendergast, of the Duke Department of Biostatistics & Bioinformatics, and their entire team who have received an award for their NIH U24 proposal entitled: "Log2Lose: Incenting Weight Loss and Dietary Self-Monitoring in Real Time to Improve Weight Management." This award is for a five-year period, awarded September 15, 2020, to August 31, 2025.

In the past 40 years, the prevalence of obesity has increased at an alarming rate. Even modest weight loss of at least 5% improves clinical parameters and quality of life. Efficacious behavioral weight loss programs teach participants behavioral strategies to create and maintain a caloric deficit. The two strongest predictors of long-term weight loss in such programs are initial weight loss and dietary self-monitoring. Over time, these phenomena decline, limiting program effectiveness. Financial incentives to increase initial weight loss and self-monitoring are appealing because they can be delivered to large populations with relative ease and at low cost. Employers and payers have begun to provide financial incentives for health behaviors and outcomes despite an inadequate evidence base to inform the optimal design of such interventions.

The proposed study will evaluate which incentive approach has the greatest impact and durability—incentivizing interim weight loss, dietary self-monitoring, or both. Studies testing the effects of incentivizing these phenomena have showed some promise for increasing short-term weight loss, but the effects have not been sustained. Furthermore, few studies have evaluated incentive effects on long-term weight loss; examined the mediating role of intrinsic or extrinsic motivation; or calculated program costs or cost-effectiveness of financial incentive interventions.

In the proposed two-site, randomized, single-blinded, longitudinal 2x2 factorial study, known as “Log2Lose,” we address these limitations by evaluating the individual and joint effects of incentivizing, in near real-time, interim weight loss and dietary self-monitoring on six-month weight loss and subsequent weight loss maintenance. People with obesity from the communities of Madison, WI and Durham will receive an 18-month intervention comprising: 1. An incentivized weight loss program for six months (Phase I), 2. An incentivized weight maintenance program for six months (Phase II), and 3. A non-incentivized weight maintenance program for six months (Phase III).

Participants will be randomized to receive adjunctive incentives for weekly weight loss, dietary self-monitoring, both, or neither. We will measure the proportion of participants achieving clinically significant weight loss of ≥5% at six (primary endpoint), 12, and 18 months. We will assess whether extrinsic and intrinsic motivation mediate intervention effect; calculate intervention costs; and calculate cost-effectiveness ratios across the four study arms. Our financial incentives intervention was designed to be scalable by using available technology and automating the process of analyzing data to provide incentives in near real-time. The intervention could be paired with various weight loss interventions offered by clinicians or payers, or integrated into a variety of patient and consumer-facing technologies.

Completion of this study will contribute to our long-term goal of identifying and implementing efficacious, cost-effective, scalable approaches to reduce the prevalence of obesity and associated health outcomes.

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