Maggio-Giugno 2019, Vol. 54, N. 3 Riv Psichiatr 2019;54(3):127-130 | doi 10.1708/3181.31602 Scarica il PDF (76,9 kb) Prevalence of Food Addiction and Binge Eating in an Italian sample of bariatric surgery candidates and overweight/obese patients seeking low-energy-diet therapy titolo - split_articolo,controlla_titolo - art_titolo Prevalence of Food Addiction and Binge Eating in an Italian sample of bariatric surgery candidates and overweight/obese patients seeking low-energy-diet therapy title - controlla_titolo - art_title Prevalenza della food addiction e del binge eating in un campione italiano di candidati alla chirurgia bariatrica e in pazienti in sovrappeso/obesi in attesa di ricevere una dietoterapia autori - vau_aut_id EMANUELA BIANCIARDI1, MARIANTONIETTA FABBRICATORE2, GIORGIO DI LORENZO1, MARCO INNAMORATI2, LORENZO TOMASSINI1, PAOLO GENTILESCHI3, CINZIA NIOLU1, ALBERTO SIRACUSANO1, CLAUDIO IMPERATORI2 testo - art_testo E-mail: email@example.com affiliazione_autori - art_affiliazioni 1Psychiatric Chair, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy 2Department of Human Science, European University of Rome, Italy 3Bariatric Surgery Unit, Department of Experimental Medicine and Surgery, University of Rome, Tor Vergata, Rome, Italy riassunto - art_riassunto SUMMARY. Aim. The main aim of the present study was to investigate the prevalence of Food Addiction (FA) and clinical level of Binge Eating in an Italian sample of overweight/obese patients attending low energy-diet therapy, and in an Italian sample of obese bariatric surgery candidates. Methods. Participants were: i) 122 overweight/obese patients (86 women) referred to a medical center in Rome (Italy), specialized in nutritional treatment of obesity (i.e., non-surgery patients group), and ii) 281 surgery candidates (207 women) referred to the center for Bariatric Surgery at the University of Rome Tor Vergata (i.e., surgery candidates group). All patients were administered self-report measures investigating FA, binge eating, and psychopathology. Results. Non-surgery patients and surgery candidates did not differ in the prevalence of FA (31.1% vs 26.3%), moderate level of binge eating (32.0% vs 31.8%), and severe level of binge eating (11.05% vs 13.6%). Compared to non-surgery patients, surgery candidates reported higher prevalence in two FA symptoms: i) food consumed more than planned (13.9% vs 25.3%; p=0.011) and ii) persistent desire or repeated unsuccessful attempts (89.3% vs 96.8; p=0.002). Discussion and Conclusion. Our results confirm that both FA and clinical level of binge eating are common problems in both overweight/obese patients seeking low-energy-diet therapy and in obese bariatric surgery candidates, justifying the clinical utility of assessing these dysfunctional eating patterns. parolechiave - lingua - vke_key_id KEY WORDS: bariatric surgery candidates, binge eating, food addiction, obesity, overweight. abstract - art_abstract RIASSUNTO. Obiettivo. L’obiettivo principale del presente studio è stato quello di indagare la prevalenza della food addiction (FA) e di un livello clinicamente significativo di binge eating in: i) un campione italiano di pazienti obesi/sovrappeso in attesa di ricevere una dietoterapia, e ii) in un campione italiano di obesi canditati alla chirurgia bariatrica. Metodi. I partecipanti sono stati: i) 122 pazienti in sovrappeso/obesi (86 donne) che si sono rivolti a un centro medico privato di Roma, specializzato nel trattamento nutrizionale dell’obesità (gruppo non bariatrico), e ii) 281 canditati (207 donne) per la chirurgia bariatrica afferenti al centro per la Chirurgia Bariatrica dell’Università di Roma Tor Vergata (gruppo di canditati bariatrici). A tutti i pazienti sono stati somministrati dei questionari finalizzati alla valutazione della FA del binge eating e della psicopatologia. Risultati. I due gruppi non differivano nella prevalenza della FA (31,1% vs 26,3%), nella prevalenza del binge eating moderato (32% vs 31,8%), e nella prevalenza del binge eating severo (11,05% vs 13,6%). Rispetto al gruppo dei pazienti non bariatrici, il gruppo dei pazienti candidati alla chirurgia ha riportato una maggiore prevalenza in due sintomi della FA: consumo di cibo maggiore rispetto a quello pianificato (13,9% vs 25,3%; p=0,011), e ii) persistente desiderio e vani tentativi di smettere (89,3% vs 96,8; p=0,002). Discussione e conclusione. I nostri risultati confermano che sia la FA sia un livello clinico di binge eating sono problemi comuni sia nei pazienti sovrappeso/obesi che ricercano una dietoterapia, sia nei pazienti che vorrebbero sottoporsi alla chirurgia bariatrica, giustificando l’assessment di questi pattern alimentari disfunzionali. keyword - lingua - vke_key_id PAROLE CHIAVE: binge eating, chirurgia bariatrica, food addiction, obesità, sovrappeso. testo - art_testo INTRODUCTION Obesity [i.e., body mass index (BMI) ≥30 kg/m2] and overweight (BMI ≥25 kg/m2) are often characterized by several dysfunctional eating patterns, especially binge eating1-3. A recent meta-analysis on 68 studies showed that, among patients seeking and undergoing bariatric surgery, Binge Eating Disorder (BED) is frequently diagnosed (about 17%)4. Similarly, in large samples of non-bariatric obese seeking weight loss treatments, it has been reported, using self-report questionnaire, a prevalence of clinical level of binge eating of roughly 20%5,6. Binge eating is not the only dysfunctional eating pattern observed in both bariatric and non-bariatric obese. Among bariatric patients and overweight/obese adults seeking weight-loss treatments, Food Addiction (FA) appears to be a significant problem. Indeed, across published studies, the prevalence of FA ranges between 14% and 57% and between 15% and 25% respectively for bariatric patients7-12 and overweight/obese patients seeking weight-loss treatments13-17. To the best of our knowledge, no studies have investigated the prevalence of both FA and binge eating in these clinical samples. Therefore, the major aim of the present study was to extend these previous findings investigating the prevalence of these dysfunctional eating patterns in an Italian sample of overweight/obese patients seeking low-energy-diet therapy as well as in an Italian sample of obese bariatric surgery candidates. Investigating the prevalence of clinical level of binge eating and FA is compelling because it has been reported the association between these dysfunctional eating patterns and more negative treatment outcomes (e.g., poorer weight loss outcomes) 2,9,18-20. MATERIALS AND METHODS Participants The study sample comprised: i) 122 overweight/obese patients (86 women and 36 men) referred to a medical center in Rome (Italy), specialized in nutritional treatment of obesity (i.e., non-surgery patients group), and ii) 281 surgery candidates (207 women and 74 men) referred to the center for Bariatric Surgery at the University of Rome Tor Vergata (i.e., surgery candidates group). Non-surgery patients had an average BMI of 31.72 kg/m2 (SD=6.59: range: 25.04-53.40) and an average age of 41.92 years (SD=13.53: range: 18-73). In this group, there were 68 (55.7%) overweight and 54 (44.3%) obese patients. Surgery candidates had an average BMI of 44.01 kg/m2 (SD=7.82: range: 31.10-74.36) and an average age of 44.16 years (SD=11.17: range: 18-70). All patients were assessed at the time of study entry. Inclusion criteria were: age of 18 or higher; BMI of ≥25 kg/m2 for non-surgery patients; BMI of ≥ 30 for surgery candidates. Exclusion criteria were: history of neurologic diseases; purging and non-purging compensatory behaviours, the presence of any condition affecting the ability to complete the assessment, including the denial of informed consent. A checklist with dichotomous items was used to assess inclusion criteria and exclusion criteria. After receiving information about the aims of the study, all patients provided written consent to participate. The study was in accordance with the Helsinki declaration standards and was approved either by the ethics review board of the European University or by the Institutional Ethic Review Committee of the University of Rome Tor Vergata. Measures All of the participants were administered the Italian version of the Yale Food Addiction Scale (YFAS)21, the Binge Eating Scale (BES)5, and the Symptom Check List-90-R (SCL-90)22. Sociodemographic and clinical information were retrieved from medical files. The YFAS23 is a unifactor 25-item self-report measure of addictive eating behaviors with regards to hyper-palatable foods according to the 4th edition of Diagnostic and Statistical Manual of Mental Disorders (text revision) criteria (DSM-IV-TR)24 for drug addiction. The YFAS includes dichotomous and Likert scale formats with two scoring alternatives: a symptom count version and a diagnostic version (i.e., FA diagnosis is met when three symptoms and clinically significant impairment are present). The YFAS has demonstrated satisfactory psychometric properties in different samples and countries25. In the present study, Cronbach’s α of the YFAS was 0.88. The BES26 is a 16-item self-report widely used to assess binge eating severity (i.e., behavioral manifestations and the feelings/cognitions manifestations related to such behavior). Marcus et al.27 identified three different levels of severity: individuals scoring 17 or less were considered not reporting significant binge eating, those scoring between 18 and 26 were considered moderate binge eaters and those scoring 27 and above were considered severe binge eaters. The total score ranged from 0 to 46. The Cronbach’s α in the present sample was 0.88. The SCL-90-R28 is a 90-item questionnaire on 5-point Likert scale (0-4) assessing general psychopathology and providing a global severity index (GSI) which is designed to measure overall psychological distress. Higher scores indicate more psychological distress. The Cronbach’s α in the present sample was 0.95. Statistical analyses All analyses were performed with SPSS 19.0 statistical package for the social sciences (IBM, Armonk, NY, USA). Differences between groups (non-surgery patients group vs surgery candidates) were analyzed with independent t-tests for dimensional variables, and Chi-squared tests (χ2) for NxN contingency tables. Effect sizes were calculated with Cohen’s d and with Cramer’s v respectively for t-tests and Chi-squared tests. RESULTS Differences between groups are reported in Table 1. Compared to non-surgery patients, surgery candidates have an higher BMI (31.72±6.59 vs 44.01±7.82; p<0.001). No significant differences were observed for socio-demographic variables. No significant differences were also reported for the prevalence of FA (31.1% vs 26.3%), moderate level of binge eating (32% vs 31.8%), severe level of binge eating (11.05% vs 13.6%), and in the co-occurrence of FA and severe binge eating (7.4% vs 9.3%). Although groups did not differ for the YFAS total score, compared to non-surgery patients, surgery candidates reported higher prevalence in two FA symptoms: i) food consumed more than planned (13.9% vs 25.3%; p=0.011) and ii) persistent desire or repeated unsuccessful attempts to quit (89.3% vs 96.8; p=0.002). No significant differences were observed in the GSI and in the BES total score. DISCUSSION The main aim of this study was to investigate the prevalence of FA and clinical level of binge eating in an Italian sample of overweight/obese patients seeking low-energy-diet therapy and in bariatric surgery candidates. Our results are in line with previous studies investigating dysfunctional eating patterns in samples with similar socio-demographic variables5,12,16,21. In the present study the prevalence of FA clinical level of binge eating, and disordered eating symptoms did not differ between two groups. However, our results showed that surgery candidates reported more diminished control over consumption of hyper-palatable food, as well as a more persistent desire or repeated unsuccessful attempts to quit. In bariatric surgery candidates, these features may explaine the failure of diet therapy and it may negatively influence weight-loss after surgery 29. Our results are not in accordance with previous studies reporting a lower amount of problematic eating behaviors and psychopathology in patients seeking non-surgical weight loss treatment compared to bariatric patients30,31. The discrepancies between these results and the present research could be explained by several variables. First, our sample could be different in terms of socio-demographic (e.g., mean age) and clinical variable (e.g., mean BMI). The discrepancies may be also related by differences in study designs and methods (i.e., self-report vs structured interview). However, as already observed32, it is possible that patients who attended the psychosocial evaluation prior to surgery might minimize their psychological distress to obtain clearance for surgery. Finally, another possible explanation is in accordance with the hypothesis of a non-linear relationship between FA and BMI33, suggesting that FA might increase in the overweight and obese individuals, coming to rest at severe obesity level. Similarly, it has been hypothesized that the influence of BMI on binge eating had a ceiling effect meaning that when a level of BMI was reached the eating disorder could not worsen34. Regardless of its limitations (e.g. the use of self-report, the use of the old version of YFAS), our results confirm that both binge eating and FA are common problems in overweight and obese seeking different weight-loss treatments, justifying the clinical utility of assessing these dysfunctional eating pattern through reliable, valid and multiple methods (i.e., self-reports and clinical interviews)5,34. Compliance with ethical standards. Conflicts of interests: the authors declare that they have no conflict of interest. Ethical approval: 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: Informed consent was obtained from all individual participants included in the study. biblio_titolo - ignora references bibliografia - art_bibliografia 1. McCuen-Wurst C, Ruggieri M, Allison KC. Disordered eating and obesity: associations between binge-eating disorder, night-eating syndrome, and weight-related comorbidities. Ann N Y Acad Sci 2018; 1411: 96-105. 2. Bianciardi E, Di Lorenzo G, Gualtieri F, et al. Exploring psychiatric features of patients with long-term vomiting after bariatric surgery. J Food Nutr Disor 2016; 5: 1-6. 3. Bianciardi E, Di Lorenzo G, Niolu C, et al. Body image dissatisfaction in individuals with obesity seeking bariatric surgery: exploring the burden of new mediating factors. Riv Psichiatr 2019; 54: 8-17. 4. Dawes AJ, Maggard-Gibbons M, Maher AR, et al. Mental health conditions among patients seeking and undergoing bariatric surgery: a meta-analysis. JAMA 2016; 315: 150-63. 5. Vamado PJ, Williamson DA, Bentz BG, et al. Prevalence of binge eating disorder in obese adults seeking weight loss treatment. Eat Weight Disord 1997; 2: 117-24. 6. Imperatori C, Innamorati M, Lamis DA, et al. Factor structure of the binge eating scale in a large sample of obese and overweight patients attending low energy diet therapy. Eur Eat Disord Rev 2016; 24: 174-8. 7. Meule A, Heckel D, Kubler A. Factor structure and item analysis of the Yale Food Addiction Scale in obese candidates for bariatric surgery. Eur Eat Disord Rev 2012; 20: 419-22. 8. Brunault P, Ducluzeau PH, Bourbao-Tournois C, et al. Food addiction in bariatric surgery candidates: prevalence and risk factors. Obes Surg 2016; 26: 1650-3. 9. Clark SM, Saules KK. Validation of the Yale Food Addiction Scale among a weight-loss surgery population. Eat Behav 2013; 14: 216-9. 10. Koball AM, Clark MM, Collazo-Clavell M, et al. The relationship among food addiction, negative mood, and eating-disordered behaviors in patients seeking to have bariatric surgery. Surg Obes Relat Dis 2016; 12: 165-70. 11. Miller-Matero LR, Armstrong R, McCulloch K, Hyde-Nolan M, Eshelman A, Genaw J. To eat or not to eat; is that really the question? An evaluation of problematic eating behaviors and mental health among bariatric surgery candidates. Eat Weight Disord 2014; 19: 377-82. 12. Sevincer GM, Konuk N, Bozkurt S, Coskun H. Food addiction and the outcome of bariatric surgery at 1-year: prospective observational study. Psychiatry Res 2016; 244: 159-64. 13. Burmeister JM, Hinman N, Koball A, Hoffmann DA, Carels RA. Food addiction in adults seeking weight loss treatment. Implications for psychosocial health and weight loss. Appetite 2013; 60: 103-10. 14. Eichen DM, Lent MR, Goldbacher E, Foster GD. Exploration of “food addiction” in overweight and obese treatment-seeking adults. Appetite 2013; 67: 22-4. 15. Innamorati M, Imperatori C, Manzoni GM, et al. Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eat Weight Disord 2015; 20: 119-27. 16. Imperatori C, Innamorati M, Lamis DA, et al. Childhood trauma in obese and overweight women with food addiction and clinical-level of binge eating, Child Abuse Negl 2016; 58: 180-90. 17. Davis C, Curtis C, Levitan RD, Carter JC, Kaplan AS, Kennedy JL. Evidence that ‘food addiction’ is a valid phenotype of obesity. Appetite 2011; 57: 711-7. 18. Chao AM, Wadden TA, Faulconbridge LF, et al. Binge-eating disorder and the outcome of bariatric surgery in a prospective, observational study: two-year results. Obesity (Silver Spring) 2016; 24: 2327-33. 19. Meany G, Conceição E, Mitchell JE. Binge eating, binge eating disorder and loss of control eating: effects on weight outcomes after bariatric surgery. Eur Eat Disord Rev 2014; 22: 87-91. 20. Reslan S, Saules KK, Greenwald MK, Schuh LM. Substance misuse following Roux-en-Y gastric bypass surgery. Subst Use Misuse 2014; 49: 405-17. 21. Innamorati M, Imperatori C, Manzoni GM, et al. Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eat Weight Disord 2015; 20: 119-27. 22. Prunas A, Sarno I, Preti E, Madeddu F, Perugini M. Psychometric properties of the Italian version of the SCL-90-R: a study on a large community sample. Eur Psychiatry 2012; 27: 591-7. 23. Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite 2009; 52: 430-6. 24. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders – DSMIV-TR, 4th ed. Washington, DC: American Psychiatric Association, 2000. 25. 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: 60-5. 26. Gormally J, Black S, Daston S, Rardin D. The assessment of binge eating severity among obese persons. Addict Behav 1982; 7: 47-55. 27. Marcus MD, Wing RR, Hopkins J. Obese binge eaters: affect, cognitions, and response to behavioural weight control. J Consult Clin Psychol 1988; 56: 433-9. 28. Derogatis L (ed). The SCL-90-R: administration, scoring and procedures manual-I for the R(evised) version. Baltimore, MD: Johns Hopkins University School of Medicine, 1977. 29. Tognoni V, Benavoli D, Bianciardi E, et al. Laparoscopic sleeve gastrectomy versus laparoscopic banded sleeve gastrectomy: first prospective pilot randomized study. Gastroenterol Res Pract 2016; 2016: 6419603. 30. Castellini G, Godini L, Amedei SG, et al. Psychopathological similarities and differences between obese patients seeking surgical and non-surgical overweight treatments. Eat Weight Disord 2014; 19: 95-102. 31. Lin HY, Huang CK, Tai CM, et al. Psychiatric disorders of patients seeking obesity treatment. BMC Psychiatry 2013; 13: 1. 32. Sogg S, Lauretti J, West-Smith L. Recommendations for the presurgical psychosocial evaluation of bariatric surgery patients. Surg Obes Relat Dis 2016; 12: 731-49. 33. Meule A. Food addiction and body-mass-index: a non-linear relationship. Med Hypotheses 2012; 79: 508-11. 34. Ahnis A, Figura A, Hofmann T, Stengel A, Elbelt U, Klapp BF. Surgically and conservatively treated obese patients differ in psychological factors, regardless of body mass index or obesity-related co-morbidities: a comparison between groups and an analysis of predictors. PLoS One 2015; 10: e0117460.