Search

Background: Individual variability in response to multiple modalities of obesity treatment is well documented, yet our understanding of why some individuals respond while others do not is limited. The etiology of this variability is multifactorial; however, at present, we lack a comprehensive evidence base to identify which factors or combination of factors influence treatment response.Objectives: This paper provides an overview and rationale of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, which aims to advance the understanding of individual variability in response to adult obesity treatment. This project provides an integrated model for how factors in the behavioral, biological, environmental, and psychosocial domains may influence obesity treatment responses and identify a core set of measures to be used consistently across adult weight-loss trials. This paper provides the foundation for four companion papers that describe the core measures in detail.Significance: The accumulation of data on factors across the four ADOPT domains can inform the design and delivery of effective, tailored obesity treatments. ADOPT provides a framework for how obesity researchers can collectively generate this evidence base and is a first step in an ongoing process that can be refined as the science advances. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objective: To describe and elucidate the time trends of the academic productivity of NHLBI's obesity-related research funding via bibliometric analysis of 30 years of NHLBI-supported obesity-related publications.Methods: In total, 3,545 NHLBI-funded obesity-related publications were identified in the Thomson Reuters InCites™ database. Shared references in a community detection algorithm were used to identify publication topics. Characteristics of publications and topical communities were analyzed based on citation count and percentile rank. A percentile rank >90 was considered "highly cited."Results: Obesity-related publications increased more than 10-fold over 30 years, whereas NHLBI-funded publications only increased twofold NHLBI-funded obesity publications were cited a median of 23 times (IQR 8-55, range 0-2,047, mean 52). Thirty percent of these publications were highly cited compared to the expected ten percent. Six topical communities were present in 1983 compared to 16 in 2013. The most highly cited topical areas were sleep (n = 199 publications, 38% highly cited), cardiovascular morbidity and mortality (n = 277, 36%), obesity correlates and consequences (n = 588, 35%), and asthma and inflammation (n = 283, 35%).Conclusions: NHLBI-funded obesity publications have contributed substantially to the obesity literature, with many highly cited. Publications grew in number and topical diversity over 30 years and grew at a faster rate than total NHLBI publications. [ABSTRACT FROM AUTHOR]