Background: By understanding specific differences between responders to a treatment and non-responders, treatment modalities may be fitted to the individual in order to increase effectiveness, a concept known as "precision medicine". This systematic review and meta-analysis investigated which pretreatment patient and family characteristics may predict the outcome of cognitive-behavioral therapy (CBT) in clinically anxious and/or depressed youth. In particular, higher symptom severity, more severe co-occurring anxiety or depression and more severe parental psychopathology were hypothesized to predict a worse CBT outcome.
Methods: The databases PubMed, PsycINFO and Cochrane Library were searched; 73 publications were included in the review from which 23 studies were used for the meta-analysis.
Results: Higher symptom severity represented a clinically relevant predictor of a worse CBT outcome, with large effects estimated by meta-analysis. Further, parental psychopathology was significant and detrimental for CBT outcome in anxious but not depressed youth, while the effects for co-occurring anxiety and depression remained unclear. The additional results of the review show that only few characteristics seemed to be clearly associated with a worse CBT outcome, namely worse coping skills and, restricted to depressed patients, more non-suicidal self-injury.
Limitations: The available evidence was of only moderate quality in general, further high-quality research with more transparent reporting is needed.
Conclusions: The patient characteristics identified as being relevant for CBT outcome may represent important candidates for use in single patient prediction models for precision medicine in the field of child and adolescent psychotherapy. The review was preregistered on PROSPERO (ID: CRD42018116881).
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http://dx.doi.org/10.1016/j.jad.2020.09.092 | DOI Listing |
Int J Nurs Health Care Res (Lisle)
October 2024
Helfgott Research Institute, National University of Natural Medicine, Portland, OR, USA.
Introduction: Binge Eating Disorder (BED) has high lifetime prevalence rates, low treatment success rates, and high rates of treatment dissatisfaction, early discontinuation of care, and recurrence. Complementary and integrative health (CIH) interventions (non-mainstream practices used with conventional approaches for whole-person treatment) hold potential to overcome many treatment barriers and improve BED treatment outcomes. Some CIH interventions have empirical support for use in eating disorders.
View Article and Find Full Text PDFNurs Health Sci
March 2025
College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.
Work-related stress, a major contributor to physical and mental health issues of nurses, has a direct impact on patient safety and nurses' well-being. However, few studies have investigated the effectiveness of cognitive behavioral therapy in reducing psychological distress in nurses. Systematic search of six databases including CINAHL Plus with Full Text, Cochrane Library, Embase, Medline, PubMed, and Web of Science from their inception to February 27, 2024.
View Article and Find Full Text PDFClin Psychol Psychother
January 2025
Anhui University of Technology, Maanshan, Anhui, China.
Intermittent explosive disorder (IED) is characterized by sudden, disproportionate outbursts of anger that can severely impact individuals' quality of life, causing difficulties in maintaining relationships, issues at work or school and potential legal troubles. This study aimed to systematically review and meta-analyse the effectiveness of psychological and pharmacological treatments for IED, drawing insights from both case studies and randomized controlled trials (RCTs). A total of 12 RCTs and 14 case studies were included in this comprehensive analysis.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Laboratoire SANPSY, CNRS, UMR 6033, Université de Bordeaux-Centre Hospitalier Universitaire Pellegrin de Bordeaux, Bordeaux, France.
Background: Fully automated digital interventions delivered via smartphone apps have proven efficacious for a wide variety of mental health outcomes. An important aspect is that they are accessible at a low cost, thereby increasing their potential public impact and reducing disparities. However, a major challenge to their successful implementation is the phenomenon of users dropping out early.
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