Validation of the Italian Yale Food Addiction Scale in postgraduate university students
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This study was aimed to examine the structural and construct validity of the Italian version of the Yale Food Addiction Scale in a multisite sample of postgraduate students.
Two hundred and fifty-six subjects (78.1% females) aged from 18 to 53 years (mean = 23.93, SD = 4.96) and attending different postgraduate university programs at multiple Italian universities completed the Italian YFAS, the Italian Binge Eating Scale (BES), the Italian Eating Attitudes Test-26 and the Italian Dutch Eating Behavior Questionnaire (DEBQ) online through Qualtrics.
Confirmatory Factor Analysis showed that the single-factor model of the Italian YFAS including all original items had adequate fit indexes (χ2252 = 454.183; p < 0.001; normed χ2 = 1.802; RMSEA = 0.056; 90% CI 0.048–0.076; CFI = 0.761; WRMR = 1.592). However, item analysis revealed that item#25 had zero variance (all subjects were assigned the same score after item dichotomization) and item#24 had a low factor loading, and were thus removed. Furthermore, item#10 and item#11 showed to be almost perfectly correlated (r = 0.998) and were thus parceled. The resulting 19-item single-factor model revealed a better fit to the data (χ2152 = 235.69; p < 0.001; normed χ2 = 1.556; RMSEA = 0.046; 90% CI 0.034–0.058; CFI = 0.858; WRMR = 1.236) and its internal consistency was acceptable (KR-20 = 0.72). Also, a single-factor model including the seven diagnostic symptoms was tested and showed adequate fit values (χ220 = 41.911; p < 0.003; normed χ2 = 2.09; RMSEA = 0.065; 90% CI 0.037–0.093; CFI = 0.946; WRMR = 1.132). Statistically significant and small-to-high correlations were found with all convergent measures, in particular with the BES.
The Italian 19-item YFAS resulted to be a valid and reliable tool for the assessment of food addiction in postgraduate students.
Level of evidence
Level V, descriptive study.
KeywordsFood addiction YFAS Validity University students
Compliance with ethical standards
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all participants included in the study prior to accessing the survey.
- 8.Brownell KD, Gold MS (2013) Food and addiction: scientific, social, legal, and legislative implications. In: Food and addiction. Oxford University Press, Oxford, pp 439–446Google Scholar
- 9.Tonioni F, Mazza M, Autullo G, Cappelluti R, Catalano V, Marano G, Fiumana V, Moschetti C, Alimonti F, Luciani M, Lai C (2014) Is internet addiction a psychopathological condition distinct from pathological gambling? Addict Behav 39(6):1052–1056. https://doi.org/10.1016/j.addbeh.2014.02.016 CrossRefPubMedGoogle Scholar
- 11.Hebebrand J, Albayrak O, Adan R, Antel J, Dieguez C, de Jong J, Leng G, Menzies J, Mercer JG, Murphy M, van der Plasse G, Dickson SL (2014) “Eating addiction”, rather than “food addiction”, better captures addictive-like eating behavior. Neurosci Biobehav Rev 47:295–306. https://doi.org/10.1016/j.neubiorev.2014.08.016 CrossRefPubMedGoogle Scholar
- 20.Brunault P, Ballon N, Gaillard P, Reveillere C, Courtois R (2014) Validation of the French version of the yale food addiction scale: an examination of its factor structure, reliability, and construct validity in a nonclinical sample. Can J Psychiatry Revue canadienne de psychiatrie 59(5):276–284CrossRefPubMedGoogle Scholar
- 21.Granero R, Hilker I, Aguera Z, Jimenez-Murcia S, Sauchelli S, Islam MA, Fagundo AB, Sanchez I, Riesco N, Dieguez C, Soriano J, Salcedo-Sanchez C, Casanueva FF, De la Torre R, Menchon JM, Gearhardt AN, Fernandez-Aranda F (2014) Food addiction in a Spanish sample of eating disorders: DSM-5 diagnostic subtype differentiation and validation data. Eur Eat Disord Rev J Eat Disord Assoc 22(6):389–396. https://doi.org/10.1002/erv.2311 CrossRefGoogle Scholar
- 23.Innamorati M, Imperatori C, Manzoni GM, Lamis DA, Castelnuovo G, Tamburello A, Tamburello S, Fabbricatore M (2015) Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eat Weight Disord EWD 20(1):119–127. https://doi.org/10.1007/s40519-014-0142-3 CrossRefPubMedGoogle Scholar
- 24.First MB, Spitzer RL, Gibbon M, Williams JB (2002) Structured clinical interview for DSM-IV-TR axis I disorders, research version, patient edition, SCID-I/P. In: Institute NYSP (ed) Biometrics research. American Psychiatric Press Inc, New YorkGoogle Scholar
- 29.Marek RJ, Tarescavage AM, Ben-Porath YS, Ashton K, Heinberg LJ (2015) Replication and evaluation of a proposed two-factor Binge Eating Scale (BES) structure in a sample of bariatric surgery candidates. Surg Obes Relat Dis 11(3):659–665. https://doi.org/10.1016/j.soard.2014.09.015 CrossRefPubMedGoogle Scholar
- 31.Marek RJ, Ben-Porath YS, Ashton K, Heinberg LJ (2014) Impact of using DSM-5 criteria for diagnosing binge eating disorder in bariatric surgery candidates: change in prevalence rate, demographic characteristics, and scores on the Minnesota Multiphasic Personality Inventory-2 restructured form (MMPI-2-RF). Int J Eat Disord 47(5):553–557. https://doi.org/10.1002/eat.22268 CrossRefPubMedGoogle Scholar
- 35.Dakanalis A, Zanetti MA, Clerici M, Madeddu F, Riva G, Caccialanza R (2013) Italian version of the Dutch Eating Behavior Questionnaire. Psychometric proprieties and measurement invariance across sex, BMI-status and age. Appetite 71:187–195. https://doi.org/10.1016/j.appet.2013.08.010 CrossRefPubMedGoogle Scholar
- 36.Riva G, Molinari E (2004) Clinical psychology of obesity. Bollati Boringhieri, TurinGoogle Scholar
- 38.Muthén LK, Muthén BO (1998–2012) Mplus User’s Guide. 7th edn. Muthén & Muthén, Los AngelesGoogle Scholar
- 39.Muthén B, du Toit SHC, Spisic D (1997) Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Psychometrika 75(1):40–45Google Scholar
- 41.Hoyle RH (2012) Handbook of strucural equation modeling. The Guildford Press, New YorkGoogle Scholar
- 43.Wheaton B, Muthén B, Alwin D, Summers G (1977) Assessing reliability and stability in panel models. In: Heise DR (ed) Sociological methodology. Jossey-Bass, Inc., San Francisco, pp 84–136Google Scholar
- 48.Innamorati M, Imperatori C, Meule A, Lamis DA, Contardi A, Balsamo M, Tamburello A, Tamburello S, Fabbricatore M (2015) Psychometric properties of the Italian Food Cravings Questionnaire-Trait-reduced (FCQ-T-r). Eat Weight Disord EWD 20(1):129–135. https://doi.org/10.1007/s40519-014-0143-2 CrossRefPubMedGoogle Scholar
- 50.Aloi M, Rania M, Rodriguez Munoz RC, Jimenez Murcia S, Fernandez-Aranda F, De Fazio P, Segura-Garcia C (2017) Validation of the Italian version of the Yale Food Addiction Scale 2.0 (I-YFAS 2.0) in a sample of undergraduate students. Eat Weight Disord EWD. https://doi.org/10.1007/s40519-017-0421-x PubMedGoogle Scholar