Objective: Internet-Based Cognitive Behavioral Therapy (iCBT) is an innovative modality of cognitive-behavioral intervention that presents a promising therapeutic strategy for individuals diagnosed with binge spectrum eating disorders. This study employed a meta-analysis methodology to assess the clinical effectiveness and acceptability of iCBT.
Methods: We conducted searches in databases such as PubMed, Embase, Web of Science, Cochrane Library, and PsycINFO, collecting literature that met the inclusion criteria until August 5, 2023.
Results: A comprehensive analysis was conducted, encompassing a total of 11 randomized controlled studies that satisfied the predetermined criteria for inclusion. The summary results demonstrated that iCBT could significantly improve the pathological features related to eating in patients with binge spectrum eating disorders and also significantly reduce the frequency of binge episodes. Additionally, iCBT could ameliorate the depressive and anxious emotions of patients with binge spectrum eating disorders and boost their self-esteem. Furthermore, a notable disparity in dropout rates was seen in comparison to the control group.
Limitation: Heterogeneity across studies，limitations of self-assessment scales and potential publication bias.
Conclusion: iCBT can effectively assist patients with binge spectrum eating disorders in improving clinical symptoms. However, it is important to use caution when interpreting the findings of this study, as there are limitations pertaining to the quantity and quality of the included studies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jad.2024.06.084 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Maternal and paternal risk factors associated with diagnoses within the continuum of fetal alcohol spectrum disorders in the USA: Proximal and distal influences.
Alcohol Clin Exp Res (Hoboken)
December 2024
Sanford Health, Sioux Falls, SD, USA.
Article Synopsis
- The study aimed to identify risk factors for fetal alcohol spectrum disorders (FASD) by interviewing mothers of first-grade children, both with FASD diagnoses and controls.
- Results revealed significant differences in alcohol consumption patterns between mothers of children with FASD and control mothers, with those with FASD generally consuming more alcohol before and during pregnancy.
- The analysis highlighted maternal factors such as alcohol intake, liver issues, depression, and late prenatal care as key risk indicators for FASD, with less influence from paternal alcohol consumption once maternal drinking was accounted for.
Multivariate patterns linking brain microstructure to temperament and behavior in adolescent eating disorders.
medRxiv
November 2024
Department of Psychiatry, University of California San Diego, La Jolla, California, USA.
Article Synopsis
- * The study utilized advanced neuroimaging techniques to analyze brain structure in 91 adolescent ED patients and 48 healthy controls, linking specific brain microstructural patterns to different behavioral profiles.
- * A key finding was that an 'undercontrolled' behavioral profile, marked by high emotional dysregulation and low self-control, correlated with neurological changes in white matter tracts, especially in regions associated with emotional regulation, highlighting the significance of brain-behavior interactions in EDs for future clinical applications.
A dialectical behavior therapy skills training smartphone app for recurrent binge eating: a randomized clinical trial.
Psychol Med
December 2024
SEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health, Deakin University, Geelong, Australia.
Background: Dialectical behavior therapy (DBT) is a specialized treatment that has a growing evidence base for binge-spectrum eating disorders. However, cost and workforce capacity limit wide-scale uptake of DBT since it involves over 20 in-person sessions with a trained professional (and six sessions for guided self-help format). Interventions translated for delivery through modern technology offer a solution to increase the accessibility of evidence-based treatments.
View Article and Find Full Text PDFClustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis.
Brain Behav
November 2024
Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.
Background: The demand for fresh strategies to analyze intricate multidimensional data in neuroscience is increasingly evident. One of the most complex events during our neurodevelopment is adolescence, where our nervous system suffers constant changes, not only in neuroanatomical traits but also in neurophysiological components. One of the most impactful factors we deal with during this time is our environment, especially when encountering external factors such as social behaviors or substance consumption.
View Article and Find Full Text PDFUnderstanding Patients' Preferences for a Digital Intervention to Prevent Posttreatment Deterioration for Bulimia-Spectrum Eating Disorders: User-Centered Design Study.
JMIR Form Res
November 2024
Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States.
Article Synopsis
- * Interviews with 12 participants revealed a strong desire for features like goal-setting for skill use, self-monitoring of eating disorder behaviors, and tracking mood and food intake.
- * Participants also expressed the need for knowledge-based content, such as skill practice instructions, mental health strategies, mindfulness exercises, and nutrition advice within the app.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!