ArticleNutrients2024
Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults.International journal of public health · 2026Article
- Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.Nutrients · 2025Review
- Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.Nutrients · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are recommended to follow a nutritional approach and a psychological treatment. A total of 94 patients (T0) completed a battery of self-report measures: Symptom Checklist-90-Revised (SCL-90-R), Barratt Impulsiveness Scale-11 (BIS-11), Binge-Eating Scale (BES), Obesity-Related Well-Being Questionnaire-97 (ORWELL-97), and Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Then, twelve sessions of a brief psychodynamic psychotherapy were delivered, which was followed by the participants completing the follow-up evaluation (T1). Two groups of patients were identified: Group 1 (
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