Evaluating the Power of Food Scale in obese subjects and a general sample of individuals: development and measurement properties

Evaluating the Power of Food Scale in obese subjects and a general sample of individuals: development and measurement properties
复制标题

DOI:
10.1038/ijo.2009.107
复制
发表时间:
2009-08-01
影响因子:
4.9
通讯作者:
Lowe, M. R.
Lowe, M. R.
中科院分区:
医学2区
文献类型:
--
作者:
Cappelleri, J. C.;Bushmakin, A. G.;Lowe, M. R.

文献摘要

被引文献

相似文献

背景:食物的力量量表(PFS)是为了评估当今食物丰富的环境对心理的影响而开发的。目的:评估不同人群中肥胖和非肥胖者的食物力量结构。设计:数据来自体重管理药物临床试验中的肥胖成年人(n=1741),以及超重、肥胖和正常体重成年人的网络调查(n=1275)。使用探索性和验证性因素分析对PFS的结构进行了研究。开发的模型随后使用基于网络的数据进行了测试。研究PFS领域与体重指数(BMI)之间的关系。结果:临床数据显示该量表由15个条目组成,包括3个子量表和1个聚合域(平均为3个领域),这与网络调查的数据(临床研究和网络研究的比较匹配指数分别为0.95和0.94)相印证。两组数据的Cronbach‘s Alpha都很高,从0.81到0.91不等。体重指数与各领域之间的关系较弱(且近似为线性)。PFS领域得分(范围1-5)的全类别增加使肥胖的几率增加1.6-2.3倍。结论:15个项目的PFS由三个领域和一个聚合域代表。PFS可以提供一个有用的工具来评估肥胖治疗对肥胖食物环境中被食物控制的感觉的影响。《国际肥胖杂志》(2009年)33,913-922;doi:10.1038/ijo.2009.107;2009年6月9日在线出版
Background: The Power of Food Scale (PFS) was developed to assess the psychological impact of today's food-abundant environments.Objective: To evaluate the structure of the PFS in diverse populations of obese and nonobese individuals.Design: Data were obtained from obese adults in a clinical trial for a weight management drug (n = 1741), and overweight, obese and normal weight adults in a Web-based survey (n = 1275). Exploratory and confirmatory factor analyses were used to investigate the PFS structure using the clinical data. The model developed was then tested using the Web-based data. Relationships between PFS domains and body mass index (BMI) were examined. Logistic regression was used in the Web-based survey to evaluate the association between obesity status and PFS scores.Results: Clinical data indicated that the scale was best represented by a 15-item version with three subscale domains and an aggregate domain (average of three domains); this was confirmed with data from the Web-based survey (Comparative Fit Index: 0.95 and 0.94 for the clinical and Web-based studies, respectively). Cronbach's alpha for both data sets was high, ranging from 0.81 to 0.91. The relationships between BMI and each domain were weak (and approximately linear). A full category increase in PFS domain score (range 1-5) increased the odds of being obese 1.6-2.3 times.Conclusions: The 15-item PFS is best represented by three domains and an aggregate domain. The PFS may provide a useful tool to evaluate the effects of obesity treatments on feelings of being controlled by food in an obesogenic food environment. International Journal of Obesity (2009) 33, 913-922; doi: 10.1038/ijo.2009.107; published online 9 June 2009