Predictive factors for eating disorders in a cohort of Sicilian female students

Main Article Content

Maria Anna Coniglio
Elena Commodari
Pasqualina Laganà


Eating disorders;, Predictive factors;, Screening tools.


Identifying factors that contribute to the onset of eating disorders is fundamental to implement an early therapy. A total of 1025 female freshmen were screened to find predictive factors for eating disorders. The SCOFF Test, the EAT 26 and a questionnaire developed for the survey were used. In total, 10.5% of students showed a BMI <18.5. Percentages of 14.9% and 5.6% were found at risk for anorexia or bulimia with the EAT 26 and SCOFF test, respectively. The percentage was higher, 17.7%, with the other questionnaire. Results show that for an early identification of eating disorders it could be more useful a combination of different screening tools instead of a single one.


Download data is not yet available.
Abstract 2 | PDF Downloads 1


1. Quick VM, Byrd-Bredbenner C, Neumark-Sztainer D. Chronic illness and disordered eating: a discussion of the literature. Adv Nutr 2013; 4:277-286.
2. Brown NW. Medical consequences of eating disorders. Southern Medical Journal 1985; 78:403-405.
3. U.S. Department of Health and Human Services. Eating disorders: about more than food. National Institutes of Health NIH Publication No. TR 17-4901 Revised 2018.
4. Manna P, Jain SK. Obesity, Oxidative Stress, Adipose Tissue Dysfunction, and the Associated Health Risks: Causes and Therapeutic Strategies. Metab Syndr Relat Disord. 2015;13(10): 423–444.
5. Casella S, Ielati S, Piccione D, et al. Oxidative stress and band-3 protein function in Liza aurata and Salmo irideus erythrocytes: effect of different aquatic conditions. Cell Biochem Funct. 2012 Jul;30(5):406-10
6. Kura B, Parikh M, Slezak J, Pierce GN. The Influence of Diet on MicroRNAs that Impact Cardiovascular Disease. Molecules. 2019 Apr; 24(8): 1509. Published online 2019 Apr 17.
7. Gallelli L, Cione E, Caroleo MC et al. microRNAs to monitor pain-migraine and drug treatment. MicroRNA. 2017, 6(3): 152-156.
8. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 5th ed. Arlington: American Psychiatric Association, 2013).
9. Stilo A, Troiano G, Melcarne L, et al. Hand washing in operating room: a procedural comparison. Epidemiology Biostatistics and Public Health. 2016; 13, 3, e11734-1/e11734-7.
10. Breithaupt L, Köhler-Forsberg O, Tidselbak Larsen J. Association of Exposure to Infections in Childhood With Risk of Eating Disorders in Adolescent Girls. JAMA Psychiatry. 2019;76(8):800-809.
11. Cella S, Cipriano A, Iannaccone M, Cotrufo P. Identifying predictors associated with the severity of eating concerns in females with eating disorders. Research in Psychotherapy: Psychopathology, Process and Outcome 2017; 20:91-99.
12. Swanson H, Power K, Collin P et al. The relationship between parental bonding, social problem solving and eating pathology in an anorexic inpatient sample. European Eating Disorders Review 2010; 18:22-32.
13. Calam R, Waller G, Slade P, Newton T. Eating disorders and perceived relationships with parents. International Journal of Eating Disorders 1990; 9:479-485.
14. Young EA, Clopton JR, Bleckley MK. Perfectionism, low-self esteem, and family factors as predictors of bulimic behavior. Eating Behaviors 2004, 5:273-283.
15. Shea ME, Pritchard ME. Is self-esteem the primary predictor of disordered eating? Personal and Individual Differences 2007, 42:1527-1537.
16. Ahadzadeh AS, Rafik-Galea S, Alavi M, Amini M. relationship between body mass index, body image, and fear of negative evaluation: moderating role of self-esteem. Health Psychol Open 2018; 5(1):205510291877425.
17. Hosseini SA, Padhy RK. Body image distortion. StatPearls Publishing 2020.
18. Morgan JF, Reid F, Lacey JH. The SCOFF questionnaire. A new screening tool for eating disorders. BMJ 1999; 319:1467-1468.
19. Garner DM, Olmsted MP, Garfinkel PE. The eating attitude test: psychometric features and clinical correlates. Psychological Medicine 1982; 12:871-878.
20. Raj GD, Hashemi Z, Soria DC et al. Adherence to Diabetes Dietary Guidelines Assessed Using a Validated Questionnaire Predicts Glucose Control in Adults With Type 2 Diabetes. Canadian Journal of Diabetes, 2018;42: 78-87
21. Montagna MT, Mascipinto S, Pousis C, et al. Knowledge, experiences, and attitudes toward Mantoux test among medical and health professional students in Italy: a cross-sectional study. Ann Ig 2018; 30 (Suppl. 2): 86-98.
22. Oltra C, Sala R. Perception of risk from air pollution and reported behaviors: a cross-sectional survey study in four cities. Journal of Risk Research, 2018; 21(7): 869-884
23. Visalli G, Facciolà A, et al. Food chemoprevention and air pollution: the health comes with eating. Rev Environ Health. 2020 Jun 22. doi: 10.1515/reveh-2019-0072.
24. Regan A, Raats M, Shan LC, Wall PG, McConnon A. Risk communication and social media during food safety crises: a study of stakeholders’ opinions in Ireland. Journal of Risk Research, 2016; 19(1): 119-133.
25. Mania I, Barone C, Pellerito A, et al. Transparency and promotion of food productions. Labelling and traceability in the food supply chain as defense instruments for food products. Ind. Alim. 2017; 56(581):18-22.