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Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain
Leslie A Lytle1, Holly L Nicastro2, Susan B Roberts3
1Department of Health Behavior and Nutrition, University of North Carolina, Chapel Hill, North Carolina, USA.
Obesity (Silver Spring, Md.)
|March 26, 2018
Summary
Identifying key behaviors like eating, activity, sleep, and self-monitoring is crucial for effective obesity treatment. The Accumulating Data to Optimally Predict obesity Treatment (ADOPT) project guides researchers in measuring these weight control behaviors.
Area of Science:
- Behavioral science
- Obesity research
- Health psychology
Background:
- Understanding individual differences in weight management is key for effective obesity treatment.
- Identifying and measuring behaviors related to weight loss and preventing regain is essential.
Purpose of the Study:
- To guide obesity researchers with a set of constructs and measures for weight control.
- To integrate behavioral, biological, environmental, and psychosocial domains in obesity research.
Main Methods:
- The behavioral domain subgroup identified high-priority constructs and measures.
- Focused on practical considerations for assessing eating, activity, sleep, and self-monitoring of weight.
Main Results:
- An initial list of high-priority behavioral constructs and measures was identified.
- Practical considerations for assessing core weight control behaviors were described.
Conclusions:
- Core behavioral measures are critical for understanding individual variability in adult obesity treatment response.
- Further research is needed to advance the science of weight loss and maintenance behaviors.
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