The reward-based eating drive scale: a self-report index of reward-based eating.

Why are some individuals more vulnerable to persistent weight gain and obesity than are others? Some obese individuals report factors that drive overeating, including lack of control, lack of satiation, and preoccupation with food, which may stem from reward-related neural circuitry. These are norma...

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Main Authors: Elissa S Epel, A Janet Tomiyama, Ashley E Mason, Barbara A Laraia, William Hartman, Karen Ready, Michael Acree, Tanja C Adam, Sachiko St Jeor, David Kessler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4076308?pdf=render
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spelling doaj-84803d5db63f4afeb808134ca707a2042020-11-24T21:34:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0196e10135010.1371/journal.pone.0101350The reward-based eating drive scale: a self-report index of reward-based eating.Elissa S EpelA Janet TomiyamaAshley E MasonBarbara A LaraiaWilliam HartmanKaren ReadyMichael AcreeTanja C AdamSachiko St JeorDavid KesslerWhy are some individuals more vulnerable to persistent weight gain and obesity than are others? Some obese individuals report factors that drive overeating, including lack of control, lack of satiation, and preoccupation with food, which may stem from reward-related neural circuitry. These are normative and common symptoms and not the sole focus of any existing measures. Many eating scales capture these common behaviors, but are confounded with aspects of dysregulated eating such as binge eating or emotional overeating. Across five studies, we developed items that capture this reward-based eating drive (RED). Study 1 developed the items in lean to obese individuals (n = 327) and examined changes in weight over eight years. In Study 2, the scale was further developed and expert raters evaluated the set of items. Study 3 tested psychometric properties of the final 9 items in 400 participants. Study 4 examined psychometric properties and race invariance (n = 80 women). Study 5 examined psychometric properties and age/gender invariance (n = 381). Results showed that RED scores correlated with BMI and predicted earlier onset of obesity, greater weight fluctuations, and greater overall weight gain over eight years. Expert ratings of RED scale items indicated that the items reflected characteristics of reward-based eating. The RED scale evidenced high internal consistency and invariance across demographic factors. The RED scale, designed to tap vulnerability to reward-based eating behavior, appears to be a useful brief tool for identifying those at higher risk of weight gain over time. Given the heterogeneity of obesity, unique brief profiling of the reward-based aspect of obesity using a self-report instrument such as the RED scale may be critical for customizing effective treatments in the general population.http://europepmc.org/articles/PMC4076308?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Elissa S Epel
A Janet Tomiyama
Ashley E Mason
Barbara A Laraia
William Hartman
Karen Ready
Michael Acree
Tanja C Adam
Sachiko St Jeor
David Kessler
spellingShingle Elissa S Epel
A Janet Tomiyama
Ashley E Mason
Barbara A Laraia
William Hartman
Karen Ready
Michael Acree
Tanja C Adam
Sachiko St Jeor
David Kessler
The reward-based eating drive scale: a self-report index of reward-based eating.
PLoS ONE
author_facet Elissa S Epel
A Janet Tomiyama
Ashley E Mason
Barbara A Laraia
William Hartman
Karen Ready
Michael Acree
Tanja C Adam
Sachiko St Jeor
David Kessler
author_sort Elissa S Epel
title The reward-based eating drive scale: a self-report index of reward-based eating.
title_short The reward-based eating drive scale: a self-report index of reward-based eating.
title_full The reward-based eating drive scale: a self-report index of reward-based eating.
title_fullStr The reward-based eating drive scale: a self-report index of reward-based eating.
title_full_unstemmed The reward-based eating drive scale: a self-report index of reward-based eating.
title_sort reward-based eating drive scale: a self-report index of reward-based eating.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Why are some individuals more vulnerable to persistent weight gain and obesity than are others? Some obese individuals report factors that drive overeating, including lack of control, lack of satiation, and preoccupation with food, which may stem from reward-related neural circuitry. These are normative and common symptoms and not the sole focus of any existing measures. Many eating scales capture these common behaviors, but are confounded with aspects of dysregulated eating such as binge eating or emotional overeating. Across five studies, we developed items that capture this reward-based eating drive (RED). Study 1 developed the items in lean to obese individuals (n = 327) and examined changes in weight over eight years. In Study 2, the scale was further developed and expert raters evaluated the set of items. Study 3 tested psychometric properties of the final 9 items in 400 participants. Study 4 examined psychometric properties and race invariance (n = 80 women). Study 5 examined psychometric properties and age/gender invariance (n = 381). Results showed that RED scores correlated with BMI and predicted earlier onset of obesity, greater weight fluctuations, and greater overall weight gain over eight years. Expert ratings of RED scale items indicated that the items reflected characteristics of reward-based eating. The RED scale evidenced high internal consistency and invariance across demographic factors. The RED scale, designed to tap vulnerability to reward-based eating behavior, appears to be a useful brief tool for identifying those at higher risk of weight gain over time. Given the heterogeneity of obesity, unique brief profiling of the reward-based aspect of obesity using a self-report instrument such as the RED scale may be critical for customizing effective treatments in the general population.
url http://europepmc.org/articles/PMC4076308?pdf=render
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