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.
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.
Authors: Elena Andreeva; Maria Neumann; Mariel Nöhre; Elmar Brähler; Anja Hilbert; Martina de Zwaan Journal: Obes Facts Date: 2019-07-02 Impact factor: 3.942
Authors: Leah M Lipsky; Tonja R Nansel; Denise L Haynie; Danping Liu; Miriam H Eisenberg Colman; Bruce Simons-Morton Journal: Eat Behav Date: 2019-05-17
Authors: Catherine L Carpenter; Angela M Wong; Zhaoping Li; Ernest P Noble; David Heber Journal: Obesity (Silver Spring) Date: 2013-05-13 Impact factor: 5.002