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Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain
Author(s) -
Lytle Leslie A.,
Nicastro Holly L.,
Roberts Susan B.,
Evans Mary,
Jakicic John M.,
Laposky Aaron D.,
Loria Catherine M.
Publication year - 2018
Publication title -
obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.438
H-Index - 199
eISSN - 1930-739X
pISSN - 1930-7381
DOI - 10.1002/oby.22157
Subject(s) - psychosocial , obesity , weight loss , set (abstract data type) , core (optical fiber) , psychology , behavioural sciences , domain (mathematical analysis) , applied psychology , medicine , computer science , psychiatry , psychotherapist , mathematics , telecommunications , mathematical analysis , programming language
Background The ability to identify and measure behaviors that are related to weight loss and the prevention of weight regain is crucial to understanding the variability in response to obesity treatment and the development of tailored treatments. Objectives The overarching goal of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project is to provide obesity researchers with guidance on a set of constructs and measures that are related to weight control and that span and integrate obesity‐related behavioral, biological, environmental, and psychosocial domains. This article describes how the behavioral domain subgroup identified the initial list of high‐priority constructs and measures to be included, and it describes practical considerations for assessing the following four behavioral areas: eating, activity, sleep, and self‐monitoring of weight. Challenges and considerations for advancing the science related to weight loss and maintenance behaviors are also discussed. Significance Assessing a set of core behavioral measures in combination with those from other ADOPT domains is critical to improve our understanding of individual variability in response to adult obesity treatment. The selection of behavioral measures is based on the current science, although there continues to be much work needed in this field.