BackgroundObesity is unanimously regarded as a global epidemic and a major contributing factor to the development of many common illnesses. Laparoscopic Adjustable Gastric Banding (LAGB) is one of the most popular surgical approaches worldwide. Yet, substantial variability in the results and significant rate of failure can be expected, and it is still debated which categories of patients are better suited to this type of bariatric procedure. The aim of this study was to build a statistical model based on both psychological and physical data to predict weight loss in obese patients treated by LAGB, and to provide a valuable instrument for the selection of patients that may benefit from this procedure.Methodology/Principal FindingsThe study population consisted of 172 obese women, with a mean±SD presurgical and postsurgical Body Mass Index (BMI) of 42.5±5.1 and 32.4±4.8 kg/m2, respectively. Subjects were administered the comprehensive test of psychopathology Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Main goal of the study was to use presurgical data to predict individual therapeutical outcome in terms of Excess Weight Loss (EWL) after 2 years. Multiple linear regression analysis using the MMPI-2 scores, BMI and age was performed to determine the variables that best predicted the EWL. Based on the selected variables including age, and 3 psychometric scales, Artificial Neural Networks (ANNs) were employed to improve the goodness of prediction. Linear and non linear models were compared in their classification and prediction tasks: non linear model resulted to be better at data fitting (36% vs. 10% variance explained, respectively) and provided more reliable parameters for accuracy and mis-classification rates (70% and 30% vs. 66% and 34%, respectively).Conclusions/SignificanceANN models can be successfully applied for prediction of weight loss in obese women treated by LAGB. This approach may constitute a valuable tool for selection of the best candidates for surgery, taking advantage of an integrated multidisciplinary approach.

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Psychological, psychoeducational and psychopharmacological treatment can facilitate weight loss in morbid obese subjects with psychopathological comorbidities. A precise definition of the mechanisms affecting appetite, satiety and energy balance is expected to foster the development of new effective antiobesity drugs.

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Eating dyscontrol constitutes a potential negative predictor for the outcome of treatment strategies for obese patients. The aim of this study was to examine the qualitative characteristics of eating dyscontrol in obese patients who engage in binge eating (BE) compared with those who do not (NBE), and to analyse the relationship between eating dyscontrol and axis-I, axis-II, spectrum psychopathology using instruments that explore mood, panic-agoraphobic, social-phobic, obsessive-compulsive and eating disorders spectrum psychopathology (SCI-MOODS-SR, SCI-PAS-SR, SCI-SHY-SR, SCI-OBS-SR, SCI-ABS-SR). This was a cross-sectional study involving a clinical sample of adult obese patients with severe obesity (average body mass index = 45 ± 8 kg m(-2) ) and candidate to bariatric surgery who were recruited between November 2001 and November 2010 at the Obesity Center of the Endocrinology Unit, University Hospital of Pisa. All participants completed a face-to-face interview, including a diagnostic assessment of axes-I and II mental disorders (using the Structured Clinical Interview for Manual of Mental Disorders, fourth edition [SCID]-I and SCID-II) and filled out self-report spectrum instruments. Among obese patients not affected by BE, eating dyscontrol was highly represented. Indeed, 39.7% (N = 177) of subjects endorsed six or more items of the Anorexia-Bulimia Spectrum Self-Report, lifetime version domain exploring this behaviour. The cumulative probability of having axis-I, axis-II and a spectrum condition disorder increased significantly with the number of eating dyscontrol items endorsed. In both BE and NBE obese subjects, eating dyscontrol may represent an independent dimension strongly related to the spectrum psychopathology and axes I/II disorders. A systematic screening for eating dyscontrol symptoms by means of self-report spectrum instruments may be valuable to assign specific treatment strategies.