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03-06-2016 | Original Paper | Uitgave 9/2016

Psychometric Properties of the Power of Food Scale in a Community Sample of Preadolescents and Adolescents

Tijdschrift:: Journal of Child and Family Studies > Uitgave 9/2016

Auteurs:: Tarrah B. Mitchell, Christopher C. Cushing, Christina M. Amaro

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Abstract

The Power of Food Scale (PFS) was developed to assess hedonic hunger, or how individuals think and feel about food and eating in the absence of metabolic need. The measure was originally developed and validated in two adult samples, and recent preliminary support has been provided for the validity in a sample of preadolescents. The aim of the current study was to conduct a confirmatory factor analysis (CFA) on the PFS in a community sample of preadolescents and adolescents to examine the psychometric properties in youth. Participants were 148 youth ages 11–18 (M = 12.85) from two Midwestern communities in the United States. Participants completed the PFS to assess for hedonic hunger. Structural equation modeling was used to conduct multiple CFAs to test varying factor structures of the PFS in preadolescents and adolescents. Results suggested that the scale was best represented by the previously established 15-item version of the measure with an aggregate domain and three subscales based on food proximity (i.e., food available, food present, and food tasted). Results from the CFA revealed that the measurement model had a close fit (RMSEA = 0.033, CFI = 0.985). Cronbach’s α for the total scale and the three subscales ranged from 0.86 to 0.95. Findings suggest that the previously established factor structure of the 15-item PFS best represents the factor structure of the measure in a community sample of preadolescents and adolescents.

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Meer informatie

Appelhans, B. M., Woolf, K., Pagoto, S. L., Schneider, K. L., Whited, M. C., & Liebman, R. (2011). Inhibiting food reward: Delay discounting, food reward sensitivity, and palatable food intake in overweight and obese women. Obesity, 19(11), 2175–2182. doi: 10.1038/oby.2011.57. CrossRefPubMedPubMedCentral

Berlin, K. S., Parra, G. R., & Williams, N. A. (2014). An introduction to latent variable mixture modeling (part 2): Longitudinal latent class growth analysis and growth mixture models. Journal of Pediatric Psychology, 39(2), 188–203. doi: 10.1093/jpepsy/jst085. CrossRefPubMed

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage Focus Editions, 154, 136.

Cappelleri, J. C., Bushmakin, A. G., Gerber, R. A., Leidy, N. K., Sexton, C. C., Karlsson, J., & Lowe, M. R. (2009). Evaluating the power of food scale in obese subjects and a general sample of individuals: Development and measurement properties. International Journal of Obesity, 33(8), 913–922. doi: 10.1038/ijo.2009.107. CrossRefPubMed

Centers for Disease Control and Prevention. (2011). About BMI for children and teens. Retrieved from http://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html.

Cushing, C. C., Benoit, S. C., Peugh, J. L., Reiter-Purtill, J., Inge, T. H., & Zeller, M. H. (2014). Longitudinal trends in hedonic hunger after Roux-en-Y gastric bypass in adolescents. Surgery for Obesity and Related Diseases, 10, 125–130. doi: 10.1016/j.soard.2013.05.009. CrossRefPubMed

Dillon, W. R., Kumar, A., & Mulani, N. (1987). Offending estimates in covariance structure analysis: Comments on the causes of and solutions to Heywood cases. Psychological Bulletin, 101, 126–135. doi: 10.1037/0033-2909.101.1.126. CrossRef

Epstein, L. H., & Leddy, J. J. (2006). Food reinforcement. Appetite, 46, 22–25. doi: 10.1016/j.appet.2005.04.006. CrossRefPubMed

Forman, E. M., Hoffman, K. L., McGrath, K. B., Herbert, J. D., Brandsma, L. L., & Lowe, M. R. (2007). A comparison of acceptance- and control-based strategies for coping with food cravings: An analog study. Behaviour Research and Therapy, 45(10), 2372–2386. doi: 10.1016/j.brat.2007.04.004. CrossRefPubMed

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference (4th ed.). Boston, MA: Allyn & Bacon.

Hill, J. O., Wyatt, H. R., & Peters, J. C. (2012). Energy balance and obesity. Circulation, 126, 126–132. doi: 10.1161/CIRCULATIONAHA.111.087213. CrossRefPubMedPubMedCentral

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. CrossRef

Laurent, J. S. (2015). Psychometric properties for the Children’s Power of Food Scale in a diverse sample of pre-adolescent youth. Applied Nursing Research, 28(2), 127–131. doi: 10.1016/j.apnr.2014.09.001. CrossRefPubMed

Levitsky, D. A., & Shen, X. (2008). Food power scale predicts dessert eating, but not meal eating or portion size effect. Appetite, 51(2), 381. doi: 10.1016/j.appet.2008.04.147. CrossRef

Lowe, M. R., & Butryn, M. L. (2007). Hedonic hunger: A new dimension of appetite? Physiology & Behavior, 91(4), 432–439. doi: 10.1016/j.physbeh.2007.04.006. CrossRef

Lowe, M. R., Butryn, M. L., Didie, E. R., Annunziato, R. A., Thomas, J. G., Crerand, C. E., & Halford, J. (2009). The Power of Food Scale. A new measure of the psychological influence of the food environment. Appetite, 53, 114–118. doi: 10.1016/j.appet.2009.05.016. CrossRefPubMed

Muthén, L.K., & Muthén, B.O. (1998-2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.

Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014). Prevalence of childhood and adult obesity in the United States, 2011–2012. Journal of the American Medical Association, 311(8), 806–814. doi: 10.1001/jama.2014.732. CrossRefPubMedPubMedCentral

Schultes, B., Ernst, B., Wilms, B., Thurnheer, M., & Hallschmid, M. (2010). Hedonic hunger is increased in severely obese patients and is reduced after gastric bypass surgery. The American Journal of Clinical Nutrition, 92(2), 277–283. doi: 10.3945/ajcn.2009.29007. CrossRefPubMed

Spiegelman, B. M., & Flier, J. S. (2001). Obesity and the regulation of energy balance. Cell, 104(4), 531–543. doi: 10.1016/S0092-8674(01)00240-9. CrossRefPubMed

Stok, F. M., De Vet, E., Wardle, J., Chu, M. T., De Wit, J., Ridder, De, & Denise, T. D. (2015). Navigating the obesogenic environment: How psychological sensitivity to the food environment and self-regulatory competence are associated with adolescent unhealthy snacking. Eating Behaviors, 17, 19–22. doi: 10.1016/j.eatbeh.2014.12.003. CrossRefPubMed

Swinburn, B., Egger, G., & Raza, F. (1999). Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Preventive Medicine: An International Journal Devoted to Practice and Theory, 29(6), 563–570. CrossRef

Wardle, J., & Boniface, D. (2008). Changes in the distributions of body mass index and waist circumference in English adults, 1993/1994 to 2002/2003. International Journal of Obesity, 32(3), 527–532. doi: 10.1038/sj.ijo.0803740. CrossRefPubMed

Witt, A. A., Raggio, G. A., Butryn, M. L., & Lowe, M. R. (2014). Do hunger and exposure to food affect scores on a measure of hedonic hunger? An experimental study. Appetite, 74, 1–5. doi: 10.1016/j.appet.2013.11.010. CrossRefPubMed

Titel: Psychometric Properties of the Power of Food Scale in a Community Sample of Preadolescents and Adolescents
Auteurs:: Tarrah B. Mitchell
Christopher C. Cushing
Christina M. Amaro
Publicatiedatum: 03-06-2016
DOI: https://doi.org/10.1007/s10826-016-0444-3
Uitgeverij: Springer US
Tijdschrift: Journal of Child and Family Studies
Uitgave 9/2016
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843

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