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Objective: To describe weight-for-length (WFL) trajectories in the children (birth-12 months) of mothers with and without eating disorders.
Method: This study is based on the Norwegian Mother and Child Cohort Study (MoBa) conducted by the Norwegian Institute of Public Health. We categorized women (N = 57,185) based on diagnosis prior to and during pregnancy: anorexia nervosa, bulimia nervosa, eating disorder not otherwise specified-purging subtype, binge eating disorder, or no eating disorder. The primary analysis included a shape invariant model fitted with nonlinear mixed effects to compare growth rates across eating disorder subtypes.
Results: The children of mothers reporting any eating disorder had a lower WFL growth rate from birth to 12 months than the children of mothers without eating disorders, even after adjusting for relative birth weight and some confounders known to affect growth.
Discussion: In this cohort, child WFL was related to maternal eating disorder status before and/or during pregnancy. These differences in growth trajectories warrant further study of long-term health outcomes and, if replicated, tailoring counseling to mothers with eating disorders during pregnancy.
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http://dx.doi.org/10.1002/eat.22290 | DOI Listing |
J Womens Health (Larchmt)
September 2025
Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA.
Disordered eating behaviors and depressive symptoms can be problematic during pregnancy for both the individual and their offspring. Our study aimed to determine the extent to which body image dissatisfaction early in pregnancy predicts eating disorder behaviors and/or depressive symptoms across pregnancy. Participants ( = 253) completed self-report assessments of depressive and eating disorder symptoms alongside the modified Body Image in Pregnancy Scale in their first, second, and third trimesters.
View Article and Find Full Text PDFInt J Eat Disord
September 2025
Department of Psychology, Wesleyan University, Middletown, Connecticut, USA.
Objectives: Generative Artificial Intelligence (AI) could transform how science is conducted, supporting researchers with writing, coding, peer review, and evidence synthesis. However, it is not yet known how eating disorder researchers utilize generative AI, and uncertainty remains regarding its safe, ethical, and transparent use. The Executive Committee of the International Journal of Eating Disorders disseminated a survey for eating disorder researchers investigating their practices and perspectives on generative AI, with the goal of informing guidelines on appropriate AI use for authors, reviewers, and editors.
View Article and Find Full Text PDFEncephale
September 2025
Universidade Alto Vale do Rio do Peixe (UNIARP), Departamento de Nutrição, CEP (89500-199), Caçador, Santa Catarina, Brasil; Universidade Federal do Paraná (UFPR), Programa de Pós-Graduação em Engenharia de Alimentos (PPGEAL), CEP (81531-980), Curitiba, Paraná, Brasil. Electronic address: de
Introduction: Body Dysmorphic Disorder (BDD) is a condition characterized by a distorted perception of one's own body image. Individuals with BDD exhibit excessive concern about their appearance, often fixating on perceived flaws that are either imaginary or minor. The prevalence of body image-related eating disorders has been increasing among university students, particularly in health-related fields, where students frequently experience pressure to maintain an ideal body shape and weight.
View Article and Find Full Text PDFThe perinatal period, which includes pregnancy and postpartum, is associated with body-image disturbance and increased risk of eating disorder (ED) onset or relapse. ED diagnoses that are most common in the perinatal period are also more prevalent among Black individuals compared to other races. However, existing ED screening tools may miss important cultural nuances within the Black population.
View Article and Find Full Text PDFGastroenterology
August 2025
Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, UK; Academic Department of Gastroenterology, Sheffield Teaching Hospitals, Sheffield, UK. Electronic address:
Background & Aims: Individuals with disorders of gut-brain interaction (DGBI) may experience avoidant/restrictive food intake disorder (ARFID) symptoms. However, extant findings have been limited to specialist neurogastroenterology clinics. We assessed the association between DGBI and ARFID within the adult general population.
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