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评估食物量表在肥胖人群和一般个体中的效力:开发和测量特性。

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

机构信息

Global Research and Development, Pfizer Inc., New London, CT 06320, USA.

出版信息

Int J Obes (Lond). 2009 Aug;33(8):913-22. doi: 10.1038/ijo.2009.107. Epub 2009 Jun 9.

Abstract

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.

摘要

背景

食物力量量表(PFS)旨在评估当今食物丰富环境对心理的影响。

目的

评估肥胖和非肥胖人群中 PFS 的结构。

设计

数据来自肥胖患者的临床试验(n=1741)和基于网络的超重、肥胖和正常体重成年人调查(n=1275)。采用探索性和验证性因子分析,使用临床数据研究 PFS 结构。然后使用网络数据检验所建模型。考察 PFS 各领域与体重指数(BMI)的关系。在网络调查中使用逻辑回归评估肥胖状态与 PFS 评分之间的关联。

结果

临床数据表明,该量表最好由一个 15 项版本表示,有三个子量表领域和一个总领域(三个领域的平均值);基于网络调查的数据也得到了证实(临床和网络研究的比较拟合指数分别为 0.95 和 0.94)。两个数据集的克朗巴赫 α 值均较高,范围为 0.81 至 0.91。BMI 与每个领域的关系较弱(大致呈线性)。PFS 领域评分(1-5 分)每增加一个完整类别,肥胖的几率增加 1.6-2.3 倍。

结论

15 项 PFS 最好由三个领域和一个总领域表示。PFS 可能是评估肥胖治疗对肥胖人群在肥胖环境中对食物控制感的影响的有用工具。

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