Results 191 to 200 of about 1,362,728 (245)

Psychometric Evaluation of the Eating Disorder‐15 (ED‐15): Factor Structure, Measurement Invariance, and Eating Disorder Caseness in Treatment Seekers

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective This study examines the factor structure, measurement invariance, and discriminative ability of the Eating Disorder‐15 (ED‐15) questionnaire in a large transdiagnostic clinical population of treatment‐seeking adults. Method The sample consisted of 2015 participants aged 17–79 (Mage = 30.73 years; 77.0% women; 71.1% in Australia ...
Jamie‐Lee Pennesi   +5 more
wiley   +1 more source

Examining Diagnostic Criteria for Atypical Anorexia Nervosa Post Metabolic Bariatric Surgery

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To examine the applicability of current diagnostic criteria for atypical anorexia nervosa (AAN) to patients 1 year post Metabolic Bariatric Surgery (MBS). Method This prospective ongoing cohort study included patients from the multicenter Psychosocial Registry of Obesity Surgery assessed before surgery and 1 year‐post‐MBS.
Eva Conceição   +10 more
wiley   +1 more source

Modifiable Transdiagnostic Risk and Protective Factors as Potential CBT Augmentation Targets for Eating Disorders: An Updated Umbrella Review

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective A focus on transdiagnostic targets is one of the key strategies for developing effective, efficient, and scalable treatments for mental health conditions. We conducted an umbrella review of recent meta‐analyses (August 2022 to May 2026) to update our understanding of critical transdiagnostic intervention targets that could inform ...
Yuan Zhou   +2 more
wiley   +1 more source

Prevalence and factors associated with sexual abuse among in-school adolescents in Ogun State, Southwest, Nigeria. [PDF]

open access: yesSci Rep
Ogunmodede EO   +7 more
europepmc   +1 more source

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli   +12 more
wiley   +1 more source

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