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Preliminary validation of the Yale Food Addiction Scale for Children 2.0: A dimensional approach to scoring

dc.contributor.authorSchiestl, Emma T.
dc.contributor.authorGearhardt, Ashley N.
dc.date.accessioned2018-12-06T17:37:50Z
dc.date.available2020-01-06T16:41:00Zen
dc.date.issued2018-11
dc.identifier.citationSchiestl, Emma T.; Gearhardt, Ashley N. (2018). "Preliminary validation of the Yale Food Addiction Scale for Children 2.0: A dimensional approach to scoring." European Eating Disorders Review 26(6): 605-617.
dc.identifier.issn1072-4133
dc.identifier.issn1099-0968
dc.identifier.urihttps://hdl.handle.net/2027.42/146644
dc.description.abstractObjectiveAssessment approaches for food addiction in younger samples have not been updated to reflect recently revised diagnostic approaches for addictive disorders. The aim of the current study is to develop a new dimensional approach to assess food addiction in adolescents that is psychometrically sound, developmentally appropriate, and reflective of the updated diagnostic criteria.MethodsThe dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS‐C 2.0) and related measures were administered to 127 adolescents from the community in the United States. Endorsement rates for each question were reviewed, and the psychometric properties were evaluated.ResultsProblem‐focused symptoms had low endorsement rates and were excluded from the final version of the scale. The dYFAS‐C 2.0 demonstrated partial evidence for a one‐factor structure, had good internal consistency reliability, and was positively associated with emotional eating, external eating, and body mass index (BMI). The dYFAS‐C 2.0 also accounted for unique variance in BMI. Unexpectedly, the dYFAS‐C 2.0 was positively associated with restrained eating.ConclusionsThe dYFAS‐C 2.0 appears to have adequate psychometric properties for assessing food addiction in community samples of adolescents. Future research should evaluate the measure in clinical samples and investigate the association between food addiction and restrained eating over the lifespan.
dc.publisherAmerican Psychiatric Pub
dc.publisherWiley Periodicals, Inc.
dc.subject.otherdimensional
dc.subject.otherfood addiction
dc.subject.othereating
dc.subject.otheradolescents
dc.titlePreliminary validation of the Yale Food Addiction Scale for Children 2.0: A dimensional approach to scoring
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelNeurosciences
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbsecondlevelWomen’s and Gender Studies
dc.subject.hlbtoplevelHealth Sciences
dc.subject.hlbtoplevelHumanities
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146644/1/erv2648.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146644/2/erv2648_am.pdf
dc.identifier.doi10.1002/erv.2648
dc.identifier.sourceEuropean Eating Disorders Review
dc.identifier.citedreferenceSchulte, E. M., Avena, N. M., & Gearhardt, A. N. ( 2015 ). Which foods may be addictive? The roles of processing, fat content, and glycemic load. PLoS One, 10 ( 2 ), e0117959. https://doi.org/10.1371/journal.pone.0117959
dc.identifier.citedreferenceLane, S. P., & Sher, K. J. ( 2015 ). Limits of current approaches to diagnosis severity based on criterion counts: An example with DSM‐5 alcohol use disorder. Clinical Psychological Science, 3 ( 6 ), 819 – 835. https://doi.org/10.1177/2167702614553026
dc.identifier.citedreferenceLarson, R. W., Moneta, G., Richards, M. H., & Wilson, S. ( 2002 ). Continuity, stability, and change in daily emotional experience across adolescence. Child Development, 73 ( 4 ), 1151 – 1165. https://doi.org/10.1111/1467‐8624.00464
dc.identifier.citedreferenceLi, C.‐H. ( 2016 ). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48 ( 3 ), 936 – 949. https://doi.org/10.3758/s13428‐015‐0619‐7
dc.identifier.citedreferenceLiu, R. T. ( 2017 ). Substance use disorders in adolescence exist along continua: Taxometric evidence in an epidemiological sample. Journal of Abnormal Child Psychology, 45 ( 8 ), 1577 – 1586. https://doi.org/10.1007/s10802‐017‐0269‐6
dc.identifier.citedreferenceLoxton, N. J., & Tipman, R. J. ( 2017 ). Reward sensitivity and food addiction in women. Appetite, 115, 28 – 35. https://doi.org/10.1016/j.appet.2016.10.022
dc.identifier.citedreferenceManzoni, G. M., Rossi, A., Pietrabissa, G., Varallo, G., Molinari, E., Poggiogalle, E., … Castelnuovo, G. ( 2018 ). Validation of the Italian Yale Food Addiction Scale in postgraduate university students. Eating and Weight Disorders‐Studies on Anorexia, Bulimia and Obesity, 23 ( 2 ), 167 – 176. https://doi.org/10.1007/s40519‐018‐0495‐0
dc.identifier.citedreferenceMeule, A., Müller, A., Gearhardt, A. N., & Blechert, J. ( 2017 ). German version of the Yale Food Addiction Scale 2.0: Prevalence and correlates of ‘food addiction’ in students and obese individuals. Appetite, 115, 54 – 61. https://doi.org/10.1016/j.appet.2016.10.003
dc.identifier.citedreferenceMiller, E. M., & Shields, S. A. ( 1980 ). Skin conductance response as a measure of adolescents’ emotional reactivity. Psychological Reports, 46 ( 2 ), 587 – 590. https://doi.org/10.2466/pr0.1980.46.2.587
dc.identifier.citedreferenceMuthén, B., & Muthén, L. ( 2012 ). Software Mplus version 7. Google Scholar.
dc.identifier.citedreferenceNunnally, J. C., & Bernstein, I. ( 1994 ). Psychometric theory (McGraw‐Hill series in psychology) ( ed., Vol. 3 ). New York: McGraw‐Hill.
dc.identifier.citedreferencePeiper, N. C., Ridenour, T. A., Hochwalt, B., & Coyne‐Beasley, T. ( 2016 ). Overview on prevalence and recent trends in adolescent substance use and abuse. Child and Adolescent Psychiatric Clinics, 25 ( 3 ), 349 – 365. https://doi.org/10.1016/j.chc.2016.03.005
dc.identifier.citedreferencePiontek, D., Kraus, L., Legleye, S., & Bühringer, G. ( 2011 ). The validity of DSM‐IV cannabis abuse and dependence criteria in adolescents and the value of additional cannabis use indicators. Addiction, 106 ( 6 ), 1137 – 1145. https://doi.org/10.1111/j.1360‐0443.2010.03359.x
dc.identifier.citedreferencePursey, K. M., Stanwell, P., Gearhardt, A. N., Collins, C. E., & Burrows, T. L. ( 2014 ). The prevalence of food addiction as assessed by the Yale Food Addiction Scale: A systematic review. Nutrients, 6 ( 10 ), 4552 – 4590. https://doi.org/10.3390/nu6104552
dc.identifier.citedreferenceRichmond, R. L., Roberto, C. A., & Gearhardt, A. N. ( 2017 ). The association of addictive‐like eating with food intake in children. Appetite, 117, 82 – 90. https://doi.org/10.1016/j.appet.2017.06.002
dc.identifier.citedreferenceSchuckit, M. A., Danko, G. P., Smith, T. L., Bierut, L. J., Bucholz, K. K., Edenberg, H. J., … Hinga, B. ( 2008 ). The prognostic implications of DSM‐IV abuse criteria in drinking adolescents. Drug and Alcohol Dependence, 97 ( 1–2 ), 94 – 104. https://doi.org/10.1016/j.drugalcdep.2008.03.020
dc.identifier.citedreferenceSchulte, E. M., Grilo, C. M., & Gearhardt, A. N. ( 2016 ). Shared and unique mechanisms underlying binge eating disorder and addictive disorders. Clinical Psychology Review, 44, 125 – 139. https://doi.org/10.1016/j.cpr.2016.02.001
dc.identifier.citedreferenceSchulte, E. M., Jacques‐Tiura, A. J., Gearhardt, A. N., & Naar, S. ( 2017 ). Food addiction prevalence and concurrent validity in African American adolescents with obesity. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors. https://doi.org/10.1037/adb0000325
dc.identifier.citedreferenceSteinberg, L. ( 2010 ). A dual systems model of adolescent risk‐taking. Developmental Psychobiology, 52 ( 3 ), 216 – 224. https://doi.org/10.1002/dev.20445
dc.identifier.citedreferenceTorres, S., Camacho, M., Costa, P., Ribeiro, G., Santos, O., Vieira, F. M., … Oliveira‐Maia, A. J. ( 2017 ). Psychometric properties of the Portuguese version of the Yale Food Addiction Scale. Eating and Weight Disorders‐Studies on Anorexia, Bulimia and Obesity, 22 ( 2 ), 259 – 267. https://doi.org/10.1007/s40519‐016‐0349‐6
dc.identifier.citedreferenceVan Strien, T., Frijters, J. E., Van Staveren, W. A., Defares, P. B., & Deurenberg, P. ( 1986 ). The predictive validity of the Dutch restrained eating scale. International Journal of Eating Disorders, 5 ( 4 ), 747 – 755. https://doi.org/10.1002/1098‐108X(198605)5:4<747::AID‐EAT2260050413>3.0.CO;2‐6
dc.identifier.citedreferenceVan Strien, T., Peter Herman, C., & Anschutz, D. ( 2012 ). The predictive validity of the DEBQ‐external eating scale for eating in response to food commercials while watching television. International Journal of Eating Disorders, 45 ( 2 ), 257 – 262. https://doi.org/10.1002/eat.20940
dc.identifier.citedreferenceVan Strien, T., Schippers, G. M., & Cox, W. M. ( 1995 ). On the relationship between emotional and external eating behavior. Addictive Behaviors, 20 ( 5 ), 585 – 594. https://doi.org/10.1016/0306‐4603(95)00018‐8
dc.identifier.citedreferenceWyatt, S. B., Winters, K. P., & Dubbert, P. M. ( 2006 ). Overweight and obesity: Prevalence, consequences, and causes of a growing public health problem. The American Journal of the Medical Sciences, 331 ( 4 ), 166 – 174. https://doi.org/10.1097/00000441‐200604000‐00002
dc.identifier.citedreferenceZiauddeen, H., & Fletcher, P. C. ( 2013 ). Is food addiction a valid and useful concept? Obesity Reviews, 14 ( 1 ), 19 – 28. https://doi.org/10.1111/j.1467‐789X.2012.01046.x
dc.identifier.citedreferenceAlbayrak, Ö., Föcker, M., Kliewer, J., Esber, S., Peters, T., Zwaan, M., & Hebebrand, J. ( 2017 ). Eating‐related psychopathology and food addiction in adolescent psychiatric inpatients. European Eating Disorders Review, 25 ( 3 ), 214 – 220. https://doi.org/10.1002/erv.2509
dc.identifier.citedreferenceAmerican Psychiatric Association ( 2013 ). Diagnostic and statistical manual of mental disorders (DSM‐5®) American Psychiatric Pub.
dc.identifier.citedreferenceBoggiano, M. M., Wenger, L. E., Turan, B., Tatum, M. M., Sylvester, M. D., Morgan, P. R., … Burgess, E. E. ( 2015 ). Real‐time sampling of reasons for hedonic food consumption: Further validation of the Palatable Eating Motives Scale. Frontiers in Psychology, 6, 744. https://doi.org/10.3389/fpsyg.2015.00744
dc.identifier.citedreferenceBriggs, N. E., & MacCallum, R. C. ( 2003 ). Recovery of weak common factors by maximum likelihood and ordinary least squares estimation. Multivariate Behavioral Research, 38 ( 1 ), 25 – 56. https://doi.org/10.1207/S15327906MBR3801_2
dc.identifier.citedreferenceBrunault, P., Courtois, R., Gearhardt, A. N., Gaillard, P., Journiac, K., Cathelain, S., … Ballon, N. ( 2017 ). Validation of the French version of the DSM‐5 Yale Food Addiction Scale in a nonclinical sample. The Canadian Journal of Psychiatry, 62 ( 3 ), 199 – 210. https://doi.org/10.1177/0706743716673320
dc.identifier.citedreferenceBurgess, E., Turan, B., Lokken, K. L., Morse, A., & Boggiano, M. M. ( 2014 ). Profiling motives behind hedonic eating. Preliminary Validation of the Palatable Eating Motives Scale. Appetite, 72, 66 – 72. https://doi.org/10.1016/j.appet.2013.09.016
dc.identifier.citedreferenceCarlson, D. J. ( 2004 ). Body image among adolescent girls and boys: A longitudinal study. Developmental Psychology, 40 ( 5 ), 823. https://doi.org/10.1037/0012‐1649.40.5.823
dc.identifier.citedreferenceChen, G., Tang, Z., Guo, G., Liu, X., & Xiao, S. ( 2015 ). The Chinese version of the Yale Food Addiction Scale: An examination of its validation in a sample of female adolescents. Eating Behaviors, 18, 97 – 102. https://doi.org/10.1016/j.eatbeh.2015.05.002
dc.identifier.citedreferenceClark, S. M., & Saules, K. K. ( 2013 ). Validation of the Yale Food Addiction Scale among a weight‐loss surgery population. Eating Behaviors, 14 ( 2 ), 216 – 219. https://doi.org/10.1016/j.eatbeh.2013.01.002
dc.identifier.citedreferenceCostello, A. B., & Osborne, J. W. ( 2005 ). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10 ( 7 ), 1 – 9. http://pareonline.net/getvn.asp?v=10&n=7
dc.identifier.citedreferenceCracco, E., Goossens, L., & Braet, C. ( 2017 ). Emotion regulation across childhood and adolescence: Evidence for a maladaptive shift in adolescence. European Child & Adolescent Psychiatry, 26 ( 8 ), 909 – 921. https://doi.org/10.1007/s00787‐017‐0952‐8
dc.identifier.citedreferenceCrews, F., He, J., & Hodge, C. ( 2007 ). Adolescent cortical development: A critical period of vulnerability for addiction. Pharmacology Biochemistry and Behavior, 86 ( 2 ), 189 – 199. https://doi.org/10.1016/j.pbb.2006.12.001
dc.identifier.citedreferenceDietz, W. H. ( 1994 ). Critical periods in childhood for the development of obesity. The American Journal of Clinical Nutrition, 59 ( 5 ), 955 – 959. https://doi.org/10.1093/ajcn/59.5.955
dc.identifier.citedreferenceEaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Ross, J., Hawkins, J., … Chyen, D. ( 2010 ). Youth risk behavior surveillance—United States, 2009. MMWR Surveillance Summary, 59 ( 5 ), 1 – 142.
dc.identifier.citedreferenceFerrario, C. R. ( 2017 ). Food addiction and obesity. Neuropsychopharmacology, 42 ( 1 ), 361. https://doi.org/10.1038/npp.2016.221
dc.identifier.citedreferenceGearhardt, A. N., Boswell, R. G., & White, M. A. ( 2014 ). The association of “food addiction” with disordered eating and body mass index. Eating Behaviors, 15 ( 3 ), 427 – 433. https://doi.org/10.1016/j.eatbeh.2014.05.001
dc.identifier.citedreferenceGearhardt, A. N., Corbin, W. R., & Brownell, K. D. ( 2009 ). Preliminary validation of the Yale Food Addiction Scale. Appetite, 52 ( 2 ), 430 – 436. https://doi.org/10.1016/j.appet.2008.12.003
dc.identifier.citedreferenceGearhardt, A. N., Corbin, W. R., & Brownell, K. D. ( 2016 ). Development of the Yale Food Addiction Scale Version 2.0. Psychology of Addictive Behaviors, 30 ( 1 ), 113 – 121. https://doi.org/10.1037/adb0000136
dc.identifier.citedreferenceGearhardt, A. N., Roberto, C. A., Seamans, M. J., Corbin, W. R., & Brownell, K. D. ( 2013 ). Preliminary validation of the Yale Food Addiction Scale for Children. Eating Behaviors, 14 ( 4 ), 508 – 512. https://doi.org/10.1016/j.eatbeh.2013.07.002
dc.identifier.citedreferenceGranero, R., Jiménez‐Murcia, S., Gerhardt, A. N., Agüera, Z., Aymamí, N., Gómez‐Peña, M., … Fernández‐Aranda, F. ( 2018 ). Validation of the Spanish version of the Yale Food Addiction Scale 2.0 (YFAS 2.0) and clinical correlates in a sample of eating disorder, gambling disorder, and healthy control participants. Frontiers in Psychiatry, 9. https://doi.org/10.3389/fpsyt.2018.00208
dc.identifier.citedreferenceHebebrand, J., Albayrak, O., Adan, R., Antel, J., Dieguez, C., de Jong, J., … Dickson, S. L. ( 2014 ). “Eating addiction”, rather than “food addiction”, better captures addictive‐like eating behavior. Neuroscience & Biobehavioral Reviews, 47, 295 – 306. https://doi.org/10.1016/j.neubiorev.2014.08.016
dc.identifier.citedreferenceHu, 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 ), 1 – 55. https://doi.org/10.1080/10705519909540118
dc.identifier.citedreferenceHudziak, J. J., Achenbach, T. M., Althoff, R. R., & Pine, D. S. ( 2007 ). A dimensional approach to developmental psychopathology. International Journal of Methods in Psychiatric Research, 16 ( S1 ), S16 – S23. https://doi.org/10.1002/mpr.217
dc.identifier.citedreferenceIBM Statistics, S. ( 2016 ). SPSS Version 24.0. Chicago, IL, USA.
dc.identifier.citedreferenceStreiner, D. L. ( 2003 ). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80 ( 1 ), 99 – 103. https://doi.org/10.1207/S15327752JPA8001_18
dc.identifier.citedreferenceInnamorati, M., Imperatori, C., Manzoni, G. M., Lamis, D. A., Castelnuovo, G., Tamburello, A., … Fabbricatore, M. ( 2015 ). Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eating and Weight Disorders‐Studies on Anorexia, Bulimia and Obesity, 20 ( 1 ), 119 – 127. https://doi.org/10.1007/s40519‐014‐0142‐3
dc.identifier.citedreferenceInokuchi, M., Matsuo, N., Takayama, J. I., & Hasegawa, T. ( 2011 ). BMI z ‐score is the optimal measure of annual adiposity change in elementary school children. Annals of Human Biology, 38 ( 6 ), 747 – 751. https://doi.org/10.3109/03014460.2011.620625
dc.identifier.citedreferenceJoyner, M. A., Schulte, E. M., Wilt, A. R., & Gearhardt, A. N. ( 2015 ). Addictive‐like eating mediates the association between eating motivations and elevated body mass index. Translational Issues in Psychological Science, 1 ( 3 ), 217 – 228. https://doi.org/10.1037/tps0000034
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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