This study investigates the prevalence of eating disorder (ED) psychopathology, neuropsychological function, structural brain correlates and risk mechanisms in a prospective cohort of very preterm (VPT) young adults. We assessed ED psychopathology and neuropsychological correlates in 143 cohort individuals born at <33 weeks of gestation. Structural brain correlates and risk factors at birth, in childhood and adolescence, were investigated using prospectively collected data throughout childhood/adolescence. VPT-born individuals had high levels of ED psychopathology at age 21 years. Executive function did not correlate with ED symptomatology. VPT adults presenting with ED psychopathology had smaller grey matter volume at age 14/15 years in the left posterior cerebellum and smaller white matter volume in the fusiform gyrus bilaterally, compared with VPT adults with no ED psychopathology. Caesarean delivery predicted engaging in compensatory behaviours, and severe eating difficulty at age 14 years predicted ED symptomatology in young adulthood. VPT individuals are at risk for ED symptomatology, with evidence of associated structural alterations in posterior brain regions. Further prospective studies are needed to clarify the pathways that lead from perinatal/obstetric complications to ED and relevant neurobiological mechanisms. © 2015 The Authors. European Eating Disorders Review published by John Wiley &Sons, Ltd.
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http://dx.doi.org/10.1002/erv.2346 | DOI Listing |
Front Public Health
March 2025
Department of Orthopedic Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Background: It has been increasingly recognized that adults living alone have a higher likelihood of developing Major Depressive Disorder (MDD) than those living with others. However, there is still no prediction model for MDD specifically designed for adults who live alone.
Objective: This study aims to investigate the effectiveness of utilizing personal health data in combination with a stacked ensemble machine learning (SEML) technique to detect MDD among adults living alone, seeking to gain insights into the interaction between personal health data and MDD.
J Eat Disord
March 2025
Maudsley Centre for Child and Adolescent Eating Disorders (MCCAED), South London and Maudsley NHS Foundation Trust, London, UK.
Background: Despite reports of high incidence and prevalence, relatively few studies have investigated outcomes for children and adolescents with binge eating disorder (BED) and loss of control (LOC) eating. This study aimed to scope the available literature systematically.
Methods: A systematic scoping review methodology was implemented.
Discov Ment Health
March 2025
Department of Medicine, School of Medicine and Health Sciences, An-Najah National University, New Campus, Nablus, Palestine.
Background: Tobacco smoking and eating disorders are often connected to concerns about body image and can be indicative of underlying mental health conditions, such as depression. In Palestinian society, females have a cultural belief that smoking can aid in weight loss. Societal pressure on body image may drive females to such risky behaviors.
View Article and Find Full Text PDFEur Eat Disord Rev
March 2025
Lab for Autonomic Neuroscience, Imaging and Cognition (LANIC), Department of Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany.
The human brain possesses a unique ability to switch between patterns of functional connectivity, known as brain states, which are crucial for regulating biological, cognitive, and emotional processes. These states are linked to numerous neurological and neuropsychiatric conditions, however, their relationship to clinical symptoms of anorexia nervosa (AN) is not well understood. In this exploratory study, we aimed to identify whole-brain dynamic functional alterations in AN and their association with AN symptoms.
View Article and Find Full Text PDFJ Affect Disord
March 2025
Recep Tayyip Erdoğan University, Faculty of Medicine, Department of Mental Health and Diseases, Rize, Turkey.
Background: In this study, it was aimed to investigate the relationship of circadian rhythm disorders with eating behavior and clinical features in patients diagnosed with Bipolar Disorder (BD).
Methods: The study included 95 patients with BD and a control group of 60 healthy individuals. Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS), Eating Attitudes Test (EAT), and Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) were applied to the participants who volunteered to participate in the study.
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