Enzo Grossi

Complexity of attrition in the treatment of obesity: clues from a structured telephone interview

Objectives:To investigate the causes of attrition reported by obese patients treated by medical centres.Design:Observational study.Setting:Obese patients enrolled in a long-term study involving 18 Italian medical centres.Participants:A total of 940 obese patients (727 female; mean age, 49 years; mean BMI, 38.6 kg/m2).Measurements:Causes of attrition reported by dropouts during a structured telephone interview.Results:After a median observation period of 41 months (range, 25–50), 766 of 940 patients (81.5%) discontinued treatment. Sixty-two per cent of total dropout occurred in the first year of follow-up. Seventy-four per cent of dropouts reported a single primary reasons for treatment interruption. Two primary reasons were reported by 22.4% of patients, and three reasons by 3.4%. Practical difficulties, alone or in combination, were reported by more than half of dropouts (55%), and were the leading cause of attrition followed by perceived failure of treatment. Among practical difficulties, family problems or problems at work and logistics, coupled with health problems other than obesity, were the most frequent reasons of attrition, but also a perceived sense of abandonment or a bad interaction with therapists were frequently reported.Conclusion:Practical difficulties and psychological problems are the most important reasons of attrition reported by patients. A therapeutic alliance addressing these issues has a large potential to reduce treatment interruption and to improve outcome in obesity.

Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis.

OBJECTIVE To investigate factors associated with bone mineral density (BMD) in type 1 diabetes by classic statistic and artificial neural networks. RESEARCH DESIGN AND METHODS A total of 175 eugonadal type 1 diabetic patients (age 32.8 ± 8.4 years) and 151 age- and BMI-matched control subjects (age 32.6 ± 4.5 years) were studied. In all subjects, BMI and BMD (as Z score) at the lumbar spine (LS-BMD) and femur (F-BMD) were measured. Daily insulin dose (DID), age at diagnosis, presence of complications, creatinine clearance (ClCr), and HbA1c were determined. RESULTS LS- and F-BMD levels were lower in patients (−0.11 ± 1.2 and −0.32 ± 1.4, respectively) than in control subjects (0.59 ± 1, P < 0.0001, and 0.63 ± 1, P < 0.0001, respectively). LS-BMD was independently associated with BMI and DID, whereas F-BMD was associated with BMI and ClCr. The cutoffs for predicting low BMD were as follows: BMI <23.5 kg/m2, DID >0.67 units/kg, and ClCr <88.8 mL/min. The presence of all of these risk factors had a positive predictive value, and their absence had a negative predictive value for low BMD of 62.9 and 84.2%, respectively. Data were also analyzed using the TWIST system in combination with supervised artificial neural networks and a semantic connectivity map. The TWIST system selected 11 and 12 variables for F-BMD and LS-BMD prediction, which discriminated between high and low BMD with 67 and 66% accuracy, respectively. The connectivity map showed that low BMD at both sites was indirectly connected with HbA1c through chronic diabetes complications. CONCLUSIONS In type 1 diabetes, low BMD is associated with low BMI and low ClCr and high DID. Chronic complications negatively influence BMD.

Snoring, hypertension and Type 2 diabetes in obesity. Protection by physical activity.

Sleep-related breathing disorders are recognized as major health problems in obesity. They are involved in both hypertension and Type 2 diabetes, through mechanisms possibly related to increased sympathetic tone. We studied the association of habitual snoring with diabetes, hypertension, weight cycling and physical activity in a large Italian database of treatmentseeking obese subjects. Clinical and behavioral data were assessed by standardized questionnaires. Consecutive data of 1890 obese patients were analyzed [average body mass index (BMI), 38.2 kg/m2, median age: 46 yr, 78% females], from 25 obesity Italian centers, with low prevalence of clinical manifestations of cardiovascular disease. Habitual snoring was reported in 56% of the cases, and was associated with day-time sleepiness. The prevalence increased with obesity class and waist circumference, and was positively associated with weight cycling and weight gain since the age of 20, and smoking. Regular physical activity had a protective effect. Snoring was associated with diabetes and hypertension at univariate analysis, but in multivariate analysis an independent effect was only observed for hypertension. After adjustment for age, gender and BMI, physical activity maintained an independent, protective effect on both snoring (odds ratio 0.65, 95% confidence interval 0.49–0.84; p=0.001), diabetes (0.50, 0.30–0.86; p=0.011) and hypertension (0.71, 0.53–0.95; p=0.023). We conclude that in treatment-seeking, obese subjects with low prevalence of cardiovascular disease, snoring independently increases the risk of hypertension, whereas physical activity exerts a protection on both snoring and complications. These data underline the importance of lifestyle interventions to limit the burden of obesity and associated diseases.

Personality features of obese women in relation to binge eating and night eating

Personality traits can affect eating behaviors, the development of obesity, and obesity treatment failure. We investigated the personality characteristics and their relation with disordered eating in 586 obese women consecutively seeking treatment at eight Italian medical centers (age, 47.7±9.8 years) and 185 age-matched, normal weight women without symptoms of eating disorders (Eating Attitude Test<20). The assessment included anthropometry, the Temperament and Character Inventory (TCI), the Binge Eating Scale (BES) and the Night Eating Questionnaire (NEQ). Logistic regression analyses were carried out in different models with BES score≥27 and NEQ≥30 as dependent variables and TCI scores as independent factors. Personality traits of obese individuals included significantly lower self-directedness and cooperativeness on TCI. BES and NEQ scores were higher in obese women, and values above the defined cut-offs were present in 77 and 18 cases (14 with high BES), respectively. After controlling for age and BMI, high BES values were associated with high novelty seeking and harm avoidance and low self-directedness, the last two scales being also associated with high NEQ. We conclude that personality traits differ between obese patients seeking treatment and controls, and the presence of disordered eating is associated with specific personality characteristics.

Stress e disturbi da somatizzazione : Evidence-Based Practice in psicologia clinica

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Emotionally focused group therapy and dietary counseling in binge eating disorder. Effect on eating disorder psychopathology and quality of life

OBJECTIVE To test the effect on psychopathology and quality of life of Emotionally Focused Therapy (EFT), Dietary Counseling (DC), and Combined Treatment (CT) in treatment-seeking patients with Binge Eating Disorder (BED) and obesity. METHODS Utilizing an observational study design, 189 obese adult patients with BED were treated by manualized therapy protocols. An independent assessment of health-related quality of life (Obesity-Related Well-Being questionnaire - ORWELL-97), attitudes toward eating (Eating Inventory - EI), binge eating (Binge Eating Scale - BES) and body uneasiness (Body Uneasiness Test - BUT) was performed at baseline, end-of-treatment, and six-month follow-up. These data are the secondary outcomes of a previously published treatment study. RESULTS A higher dropout rate was observed in the DC compared to the EFT and CT groups, while body weight decreased significantly in all three groups. Pre-post scores on the BES, BUT Global Severity Index, and EI Hunger subscale significantly decreased in the CT and EFT groups (but not the DC group). At six-month follow-up, 71% of participants in CT and 46% of participants in EFT had a BES score below the threshold of attention for BED (≤16), whereas no participants in the DC group reached this target. Finally the ORWELL-97 score decreased significantly in all groups, but significantly more so in the CT and EFT groups. CONCLUSION Results support the utility of combining EFT and DC in the treatment of patients with BED and obesity, emphasizing the usefulness of techniques focused on cognitive emotional processing for changing eating disorder psychopathology and quality of life.

WELL.ME - Wellbeing therapy based on real-time personalized mobile architecture, vs. cognitive therapy, to reduce psychological distress and promote healthy lifestyle in cardiovascular disease patients: study protocol for a randomized controlled trial

BackgroundThere is compelling evidence that psychological factors may have the same or even greater impact on the possibility of adverse events on cardiac diseases (CD) than other traditional clinical risk factors. Anxiety and depression are predictors of short- and long-term adverse outcomes, increased risk for higher rates of in-hospital complications, re-infarction, malignant arrhythmias, and mortality in CD patients. Despite researchers finding that cognitive behavior therapy (CBT) reduced depressive and anxiety symptoms, the fact that such results are maintained only in the short term and the lack of maintenance of the long-term affects the absence of changes in lifestyles, preventing the possibility of a wide generalization of results. Recently wellbeing therapy (WBT) has been proposed as a useful approach to improve healthy lifestyle behaviors and reduce psychological distress.Methods/designThe present randomized controlled study will test WBT, in comparison with CBT, as far as the reduction of symptoms of depression, anxiety and psychological distress, and the improvement of lifestyle behaviors and quality of life in cardiac patients are concerned. Moreover, innovations in communication technologies allow patients to be constantly followed in real life. Therefore WBT based on personalized mobile technology will allow the testing of its effectiveness in comparison with usual WBT.DiscussionThe present study is a large outpatient study on the treatment of co-morbid depression, anxiety, and psychological distress in cardiac patients. The most important issues of this study are its randomized design, the focus on promotion of health-related behaviors, and the use of innovative technologies supporting patients’ wellbeing in real life and in a continuous way. First results are expected in 2012.Trial registrationClinicalTrials.gov Identifier: NCT01543815.

Le patologie legate allo stress: Un’introduzione generale

Il termine „psicosomatica“ comparve per la prima volta negli scritti di Heinroth nel 1818, ma il concetto venne formalizzato solo nel 1945 dallo psicologo inglese Halliday. Negli anni, l’approccio psicosomatico e diventato parte della teoria psicoanalitica, ma ad oggi e rivendicato anche negli ambienti medici e scientifici allorche si considera l’uomo nel suo essere concreto, vivo, sessuato, che agisce col proprio corpo e secondo la propria organizzazione psichica.

Application of Neural Networks and Other Artificial Adaptive Systems in Prediction and Data Mining of Risk Psychological Profile for CHD

Current and consolidated data suggest that cardiac rehabilitation (CR) may help reduce standard cardiac risk factors [1] in patients with coronary heart disease (CHD) by increasing functional capacity [2]. Cardiac performance in exercise training is the acknowledged endpoint of CR [3], [4].Metabolic equivalents (MET) and heart rate recovery (HRR) are measures of cardiac performance in exercise training; and, during the past two decades, they have become well-established predictors of cardiovascular and overall mortality [5]–[7].

Stress ed emozioni: Il ruolo dell’elaborazione cognitiva delle emozioni

Tutti, almeno una volta nella vita, abbiamo provato stress. Non sorprende che l’esposizione allo stress sia generalmente associata a una vasta gamma di esiti negativi tra cui diminuzione del benessere, maggiore incidenza di malattie, Post-Traumatic Stress Disorder, Disturbo d’Ansia Generalizzato e Depressione Maggiore [24, 54,