Anhedonia and functional dyspepsia in obese patients:Relationship with binge eating behaviour

BACKGROUND Obese patients(Ob)with a binge eating disorders(BED)behavior pattern have a higher prevalence of postprandial distress syndrome(PDS)compared to Ob without a BED behavior pattern,while an increase of PDS has been described in Ob after sleeve gastrectomy(SG).Hedonic response to a meal is dissociable from satiation in healthy subjects.Anhedonia is the lowered ability to experience pleasure.There are no studies investigating the presence of anhedonia in Ob with and without SG and its relationship to PDS symptoms.AIM To assess the relationship among anhedonia,BED and upper gastrointestinal symptoms in two group of morbidly Ob with and without SG.METHODS Eighty-one Ob without SG,45 Ob with SG and 55 healthy controls(HC)were studied.All subjects fulfilled the binge eating scale(BES)to investigate BED,the validated 14 items Snaith-Hamilton pleasure scale(SHAPS)to assess Anhedonia as well as the Beck Depression Inventory-II(BDI II)and State Trait Anxiety Inventory(STAI)questionnaires to screen for depression and anxiety.All patients underwent a standardized questionnaire investigating the intensity-frequency scores(0-6)of upper gastrointestinal symptoms and were diagnosed for the presence of functional dyspepsia(FD)and its subtypes according to ROME IV criteria.RESULTS Ob without SG who were positive for BED had a 4.7 higher risk of FD compared to Ob without SG who were negative for BED(OR:4.7;95.0%CI 1.23-18.24;P=0.02).STAI-Y2 scores were significantly higher in Ob without SG positive for BED(42.2±1.5 vs Ob negative for BED:39.6±1.0,P=0.04),while SHAPS scores and BDI II did not differ in the two groups(1.16±1.30 vs 0.89±1.02,P=0.49).A lower prevalence of BED(BES>17:11.4%vs 40.7%,P=0.001)and BDI-II(6.8±1.2 vs 13.8±1.9,P=0.005)was reported in Ob with SG than Ob without SG,on the contrary total mean scores of STAI-Y1 and STAI-Y2 were significantly higher in Ob with SG than Ob without SG.Thirty-five percent of Ob with SG fulfilled the diagnosis of FD.SHAPS mean scores and the prevalence of anhedonia did not differ among the two groups(18.2 vs 8.1%,P=0.2).Fifty-four percent of Ob with SG achieved surgical success excess weight loss>50%.Excess weight loss was negatively related to SHAPS total mean scores[adjusted B:-7.099(95%CI:-13.91 to-0.29),P=0.04].CONCLUSION Ob without SG showed a higher prevalence of PDS,mood disorders and anxiety when positive for BE behavior compared to those negative for BE behavior,whereas no differences were found in SHAPS score.Ob with SG showed a higher prevalence of PDS compared to Ob without SG.Concerning psychological aspect,BED and depression are less frequent in the Ob with SG,while both state and trait anxiety are significantly higher.Moreover,the more an Ob with SG is anhedonic,less surgical success was achieved.

Italian Psychometric Validation of the Multidimensional Students’ Health-Promoting Lifestyle Profile Scale

The present study examines the factorial structure and assesses the psychometric properties of the adapted multidimensional Health-Promoting Lifestyle Profile II Scale, considering a sample of Italian university students who participated to an online survey. The original 52-items Scale showed a high overall internal consistency. Four of the six subscales were associated with good values of the Cronbach’s α coefficient, whereas two subscales had lower values. Hence corrected item-total correlation was calculated and 26 items that decreased the scale’s reliability were deleted. The remaining 26 items were first subjected to Principal Component Analysis that suggested a conceptually meaningful five-factor model. This result was further supported by the first-order confirmatory factor analysis, in which all the factor loadings were statistically significant. The internal consistency and the composite reliability for the reduced version of the Scale and its subscales have shown a good reliability for the measurement models. The multidimensionality of the scale was also confirmed by a second-order factor model.