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. 2020 May 23;12(5):1524.
doi: 10.3390/nu12051524.

Food Addiction in a Group of Italian Adolescents Diagnosed for Eating Disorder

Affiliations

Food Addiction in a Group of Italian Adolescents Diagnosed for Eating Disorder

Giulia Cinelli et al. Nutrients. .

Abstract

Research in patients with Eating Disorders (EDs) showed high rates of Food Addiction (FA) even in restrictive subtypes. The majority of studies were conducted on adult population. The present work aimed to describe and compared FA in adolescents diagnosed for different EDs and to evaluate its association with patients' psychopathology. Patients aged 12-18 y were included in the analysis. FA was assessed using the Yale Food Addiction Scale 2.0. The rate of FA was of 49.4% in the whole sample (n = 87, F = 90.8%) and of 53.7% in patients diagnosed with restrictive anorexia nervosa. No difference in FA frequency was detected between EDs. A worse psychopathological picture was found in patients diagnosed with FA. Higher age, higher score to the Eating Attitudes Test-26 and to the Eating Disorder Inventory-3's Interoceptive Deficits scale have been detected as the major predictors of FA in our sample. FA may be considered a transnosographic construct, not linked to the subtype of ED but to patients' personal characteristics and, in particular, to age and interoceptive deficits. A worse psychopathology might be considered a risk factor for the presence of FA in EDs.

Keywords: YFAS 2.0; adolescents; eating disorders; food addiction.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Boxplot for YFAS 2.0 symptom count. The symptom count includes the 11 symptoms without the “impairment/distress”. The Shapiro–Wilk test showed a non-normal distribution of the variable (p = 0.000). A-AN, atypical anorexia nervosa; ARFID, avoidant restrictive food intake disorder; BED, binge eating disorder; BN, bulimia nervosa; BP-AN, binge purging anorexia nervosa; ED-NOS, eating disorder not otherwise specified; R-AN, restrictive anorexia nervosa; YFAS, Yale food addiction scale.

References

    1. Randolph T.G. The descriptive features of food addiction; addictive eating and drinking. Q. J. Stud. Alcohol. 1956;17:198–224. doi: 10.15288/qjsa.1956.17.198. - DOI - PubMed
    1. Imperatori C., Fabbricatore M., Vumbaca V., Innamorati M., Contardi A., Farina B. Food Addiction: Definition, measurement and prevalence in healthy subjects and in patients with eating disorders. Riv. Psichiatr. 2016;51:60–65. - PubMed
    1. Gearhardt A., Corbin W., Brownell K. Preliminary validation of the Yale Food Addiction Scale. Appetite. 2009;52:430–436. doi: 10.1016/j.appet.2008.12.003. - DOI - PubMed
    1. Gearhardt A.N., White M.A., Masheb R.M., Morgan P.T., Crosby R.D., Grilo C.M. An examination of the food addiction construct in obese patients with binge eating disorder. Int. J. Eat. Disord. 2012;45:657–663. doi: 10.1002/eat.20957. - DOI - PMC - PubMed
    1. Meule A., Heckel D., Jurowich C.F., Vögele C., Kübler A. Correlates of food addiction in obese individuals seeking bariatric surgery. Clin. Obes. 2014;4:228–236. doi: 10.1111/cob.12065. - DOI - PubMed

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