ABSTRACT Objective This study investigates clinical heterogeneity in patients with binge eating disorder (BED) and its association with treatment outcomes. Methods A two‐step cluster analysis was conducted on a clinical sample of 196 BED patients, using an agglomerative hierarchical procedure based on both categorical and quantitative measures ...
Lucía Camacho‐Barcia +10 more
wiley +1 more source
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm +7 more
wiley +1 more source
ABSTRACT Background Medically unexplained symptoms (MUS) are common in primary care and are often influenced by psychological distress and negative medical experiences. Case Presentation A woman in her early thirties presented with chronic abdominal discomfort and severe anxiety despite repeated normal medical evaluations. She attended seven outpatient
Daisuke Son
wiley +1 more source
Evaluation of the first nutritional psychiatry and psychosomatics outpatient clinic: Protocol for a prospective study of an individualized biopsychosocial therapy approach. [PDF]
Mörkl S +9 more
europepmc +1 more source
Cancer Comorbidities: Clinical Impacts, Mechanistic Insights, and Management Strategies
This review focuses on cancer comorbidities, examining their clinical impacts and mechanistic insights. It further examines key management challenges, including evidence gaps, the lack of precise assessment tools, limited management frameworks, and underdeveloped multidisciplinary collaborations.
Taoxing Peng +15 more
wiley +1 more source
Machine learning models incorporating somatic and mental comorbidities for prolonged length-of-stay prediction in a maximum care university hospital. [PDF]
Stahl-Toyota S +11 more
europepmc +1 more source
ABSTRACT Background Profound stressors such as the COVID‐19 pandemic have highlighted the importance of understanding resilience mechanisms and approaches for quantifying them in longitudinal studies. Methods We used Bayesian mixed models to analyze resilience dynamics with ordinal dependent variables: subjective physical and mental health, and fear ...
Markus Schepers +10 more
wiley +1 more source
rTMS for the treatment of psychiatric disorders: a review about training courses and materials and the presentation of the training materials of the German Society for Brain Stimulation in Psychiatry. [PDF]
Schecklmann M +12 more
europepmc +1 more source
Abstract Background University teachers' well‐being plays a critical role in their productivity and educational effectiveness. Apart from cross‐sectional research on demographic and institutional/contextual correlates, insight into potential causes and consequences of faculty well‐being is limited. This includes insight into relations between different
Kristina Stockinger +2 more
wiley +1 more source
Correction to: Predictive modeling of significance thresholding in activation likelihood estimation meta-analysis. [PDF]
Frahm L +5 more
europepmc +1 more source

