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Validation of the Italian Yale Food Addiction Scale in postgraduate university students

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Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity Aims and scope Submit manuscript

Abstract

Purpose

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.

Methods

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.

Results

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.

Conclusion

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.

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References

  1. Davis C, Claridge G (1998) The eating disorders as addiction: a psychobiological perspective. Addict Behav 23(4):463–475

    Article  CAS  Google Scholar 

  2. Grant JE, Potenza MN, Weinstein A, Gorelick DA (2010) Introduction to behavioral addictions. Am J Drug Alcohol Abuse 36(5):233–241. https://doi.org/10.3109/00952990.2010.491884

    Article  PubMed  PubMed Central  Google Scholar 

  3. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. American Psychiatric Association, Washington, DC

    Book  Google Scholar 

  4. Gearhardt AN, Corbin WR, Brownell KD (2009) Preliminary validation of the Yale Food Addiction Scale. Appetite 52(2):430–436. https://doi.org/10.1016/j.appet.2008.12.003

    Article  PubMed  Google Scholar 

  5. Meule A, Gearhardt AN (2014) Food addiction in the light of DSM-5. Nutrients 6(9):3653–3671. https://doi.org/10.3390/nu6093653

    Article  PubMed  PubMed Central  Google Scholar 

  6. Meule A, Gearhardt AN (2014) Five years of the Yale Food Addiction Scale: taking stock and moving forward. Curr Addict Rep 1(3):193–205. https://doi.org/10.1007/s40429-014-0021-z

    Article  Google Scholar 

  7. Pursey KM, Stanwell P, Gearhardt AN, Collins CE, Burrows TL (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

    Article  PubMed  PubMed Central  Google Scholar 

  8. Brownell KD, Gold MS (2013) Food and addiction: scientific, social, legal, and legislative implications. In: Food and addiction. Oxford University Press, Oxford, pp 439–446

    Google 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

    Article  PubMed  Google Scholar 

  10. Avena NM, Rada P, Hoebel BG (2008) Evidence for sugar addiction: behavioral and neurochemical effects of intermittent, excessive sugar intake. Neurosci Biobehav Rev 32(1):20–39. https://doi.org/10.1016/j.neubiorev.2007.04.019

    Article  CAS  PubMed  Google 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

    Article  PubMed  Google Scholar 

  12. Hone-Blanchet A, Fecteau S (2014) Overlap of food addiction and substance use disorders definitions: analysis of animal and human studies. Neuropharmacology 85:81–90. https://doi.org/10.1016/j.neuropharm.2014.05.019

    Article  CAS  PubMed  Google Scholar 

  13. Volkow ND, Wang GJ, Fowler JS, Telang F (2008) Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology. Philos Trans R Soc Lond Ser B Biol Sci 363(1507):3191–3200. https://doi.org/10.1098/rstb.2008.0107

    Article  Google Scholar 

  14. Wang GJ, Volkow ND, Thanos PK, Fowler JS (2009) Imaging of brain dopamine pathways: implications for understanding obesity. J Addict Med 3(1):8–18. https://doi.org/10.1097/ADM.0b013e31819a86f7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Volkow ND, Wang GJ, Tomasi D, Baler RD (2013) Obesity and addiction: neurobiological overlaps. Obes Rev 14(1):2–18. https://doi.org/10.1111/j.1467-789X.2012.01031.x

    Article  CAS  PubMed  Google Scholar 

  16. Gearhardt AN, Yokum S, Orr PT, Stice E, Corbin WR, Brownell KD (2011) Neural correlates of food addiction. Arch Gen Psychiatry 68(8):808–816. https://doi.org/10.1001/archgenpsychiatry.2011.32

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gearhardt AN, White MA, Masheb RM, Morgan PT, Crosby RD, Grilo CM (2012) An examination of the food addiction construct in obese patients with binge eating disorder. Int J Eat Disord 45(5):657–663. https://doi.org/10.1002/eat.20957

    Article  PubMed  Google Scholar 

  18. Meule A, Vögele C, Kübler A (2012) German translation and validation of the Yale Food Addiction Scale. Diagnostica 3(12):115–126

    Article  Google Scholar 

  19. Meule A, Heckel D, Kubler A (2012) Factor structure and item analysis of the Yale Food Addiction Scale in obese candidates for bariatric surgery. Eur Eat Disord Rev J Eat Disord Assoc 20(5):419–422. https://doi.org/10.1002/erv.2189

    Article  Google 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):276–284

    Article  Google 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

    Article  Google Scholar 

  22. Chen 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. Eat Behav 18:97–102. https://doi.org/10.1016/j.eatbeh.2015.05.002

    Article  PubMed  Google 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

    Article  PubMed  Google 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 York

    Google Scholar 

  25. Gormally J, Black S, Daston S, Rardin D (1982) The assessment of binge eating severity among obese persons. Addict Behav 7(1):47–55

    Article  CAS  Google Scholar 

  26. Ricca V et al (2000) Screening for binge eating disorder in obese outpatients. Compr Psychiatry 41(2):111–115

    Article  CAS  Google Scholar 

  27. Marcus MD, Wing RR, Hopkins J (1988) Obese binge eaters: affect, cognitions, and response to behavioural weight control. J Consult Clin Psychol 56(3):433–439

    Article  CAS  Google Scholar 

  28. Hood MM, Grupski AE, Hall BJ, Ivan I, Corsica J (2013) Factor structure and predictive utility of the Binge Eating Scale in bariatric surgery candidates. Surg Obes Relat Dis 9(6):942–948. https://doi.org/10.1016/j.soard.2012.06.013

    Article  PubMed  Google 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

    Article  PubMed  Google Scholar 

  30. Robert SA, Rohana AG, Suehazlyn Z, Maniam T, Azhar SS, Azmi KN (2013) The validation of the malay version of binge eating scale: a comparison with the structured clinical interview for the DSM-IV. J Eat Disord 1:28. https://doi.org/10.1186/2050-2974-1-28

    Article  PubMed  PubMed Central  Google 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

    Article  PubMed  Google Scholar 

  32. Garner DM, Olmsted MP, Bohr Y, Garfinkel PE (1982) The eating attitudes test. Psychometric features and clinical correlates. Psychol Med 12(4):871–878

    Article  CAS  Google Scholar 

  33. Dotti A, Lazzari R (1998) Validation and reliability of the Italian EAT-26. Eat Weight Disord 3(4):188–194

    Article  CAS  Google Scholar 

  34. Van Strien T, Frijters JER, Bergers GPA, Defares PB (1986) The Dutch Eating Behaviour Questionnaire (DEBQ) for assessment of restrained, emotional and external eating behaviour. Int J Eat Disord 5:747–755

    Article  Google 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

    Article  PubMed  Google Scholar 

  36. Riva G, Molinari E (2004) Clinical psychology of obesity. Bollati Boringhieri, Turin

    Google Scholar 

  37. Van Strien T, Herman CP, Verheijden MW (2013) Eating style, overeating and weight gain. A prospective 2-year follow-up study in a representative Dutch sample. Appetite 59(3):782–789

    Article  Google Scholar 

  38. Muthén LK, Muthén BO (1998–2012) Mplus User’s Guide. 7th edn. Muthén & Muthén, Los Angeles

  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):40–45

    Google Scholar 

  40. Barrett P (2007) Structural equation modelling: adjudging model fit. Personal Individ Differ 42(5):815–824

    Article  Google Scholar 

  41. Hoyle RH (2012) Handbook of strucural equation modeling. The Guildford Press, New York

    Google Scholar 

  42. Marsh HW, Hocevar D (1985) Application of confirmatory factor analysis to the study of self-concept: first-and higher order factor models and their invariance across groups. Psychol Bull 97(3):562–582

    Article  Google 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 84–136

    Google Scholar 

  44. Tay L, Drasgow F (2012) Adjusting the adjusted χ2/df ratio statistic for dichotomous item response theory analyses does the model fit? Educ Psychol Meas 72(3):510–528

    Article  Google Scholar 

  45. Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55

    Article  Google Scholar 

  46. Browne MW, Cudeck R (1990) Single sample cross-validation indices for covariance structures. Multivar Behav Res 24:445–455

    Article  Google Scholar 

  47. Kuder GF, Richardson MW (1937) The theory of the estimation of test reliability. Psychometrika 2:151–160

    Article  Google 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

    Article  PubMed  Google Scholar 

  49. Gearhardt AN, Corbin WR, Brownell KD (2016) Development of the Yale Food Addiction Scale Version 2.0. Psychol Addict Behav J Soc Psychol Addict Behav 30(1):113–121. https://doi.org/10.1037/adb0000136

    Article  Google 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

    Article  PubMed  Google Scholar 

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Correspondence to Gian Mauro Manzoni.

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On behalf of all authors, the corresponding author states that there is no conflict of interest.

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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.

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Informed consent was obtained from all participants included in the study prior to accessing the survey.

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This article is part of the topical collection on Food Addiction.

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Manzoni, G.M., Rossi, A., Pietrabissa, G. et al. Validation of the Italian Yale Food Addiction Scale in postgraduate university students. Eat Weight Disord 23, 167–176 (2018). https://doi.org/10.1007/s40519-018-0495-0

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