Epel Elissa S, Tomiyama A Janet, Mason Ashley E, Laraia Barbara A, Hartman William, Ready Karen, Acree Michael, Adam Tanja C, St Jeor Sachiko, Kessler David
Department of Psychiatry, University of California San Francisco, San Francisco, California, United States of America; UCSF Center for Obesity Assessment, Study, & Treatment, San Francisco, California, United States of America.
UCSF Center for Obesity Assessment, Study, & Treatment, San Francisco, California, United States of America; Department of Psychology, University of California Los Angeles, Los Angeles, California, United States of America.
PLoS One. 2014 Jun 30;9(6):e101350. doi: 10.1371/journal.pone.0101350. eCollection 2014.
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.
为什么有些人比其他人更容易持续体重增加和肥胖?一些肥胖个体报告了导致暴饮暴食的因素,包括缺乏自控力、没有饱腹感以及对食物的过度关注,这些可能源于与奖励相关的神经回路。这些都是常见症状,并非任何现有测量方法的唯一关注点。许多饮食量表捕捉到了这些常见行为,但却与饮食失调的方面(如暴饮暴食或情绪化进食)混淆在一起。在五项研究中,我们开发了能够捕捉这种基于奖励的饮食驱动力(RED)的项目。研究1在体重正常到肥胖的个体(n = 327)中开发了这些项目,并观察了八年间体重的变化。在研究2中,该量表得到了进一步开发,专家评分者对这组项目进行了评估。研究3在400名参与者中测试了最终9个项目的心理测量特性。研究4检验了心理测量特性和种族不变性(n = 80名女性)。研究5检验了心理测量特性和年龄/性别不变性(n = 381)。结果表明,RED得分与体重指数相关,并预测肥胖的更早发病、更大的体重波动以及八年间更大的总体体重增加。RED量表项目的专家评分表明,这些项目反映了基于奖励的饮食特征。RED量表在人口统计学因素方面具有较高的内部一致性和不变性。RED量表旨在挖掘基于奖励的饮食行为的易感性,似乎是一种用于识别随时间推移体重增加风险较高人群的有用简短工具。鉴于肥胖的异质性,使用RED量表等自我报告工具对肥胖基于奖励的方面进行独特的简短剖析,对于在普通人群中定制有效的治疗方法可能至关重要。