How to Fund and Implement ADOPT Core Measures in Your Adult Weight Loss Trial
In partnership with the National Heart, Lung and Blood Institute
Thursday May 9, 2019
1:00 pm – 2:00 pm EDT
The recording for this webinar is no longer available.
Click here for more information about other continuing education opportunities available from ASN.
This webinar will 1) introduce obesity researchers to the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, 2) highlight use of the ADOPT core measures in an ongoing weight loss clinical trial, and 3) provide guidance on how to get involved with ADOPT, including funding opportunities.
Well-documented individual variability exists in response to a wide range of obesity treatment modalities which is likely due to a combination of behavioral, biological, environmental, and psychosocial factors. Yet, we presently lack datasets to comprehensively identify these factors and examine how they interact to influence treatment response. Recognizing that this individual variability demands a precision medicine approach, the ADOPT Core Measures Project was undertaken to identify a standard set of measures spanning multiple domains that can be analyzed across studies to better understand this variability.
ADOPT provides a framework for how obesity researchers can generate the evidence base needed to guide the development of individually tailored and potentially more effective strategies for the treatment of obesity. The identification of a core set of measures represents a first step in an ongoing process which will be refined and updated dynamically as the science advances. Consistent use of the ADOPT Core Measures in adult weight loss trials will create opportunities to identify predictors of treatment responses by building datasets that can be used for pooled analyses and meta-analyses. The accumulation of data on key factors across the four ADOPT domains — behavioral, biological, environmental, and psychosocial — should generate a more precise description of the interplay among these factors and their coordinated impact on treatment responses, which, in turn, can inform the design and delivery of effective, tailored obesity treatments.
- Tanya Agurs-Collins, PhD, RD – National Cancer Institute
- Paul MacLean, PhD – University of Colorado Anschutz Medical Campus
- Danielle Ostendorf, PhD – University of Colorado Anschutz Health and Wellness Center
- Holly Nicastro, PhD, MPH – National Heart, Lung, and Blood Institute, NIH