Objective: The aim of the study was to examine antecedent childhood psychiatric disorders in adult patients with bipolar disorder.
Method: Using structured diagnostic interviews, childhood psychiatric diagnoses of 83 referred patients with diagnosed DSM-IV bipolar disorder were compared to those of 308 adults without mood disorders.
Results: Patients with bipolar disorder had significantly higher rates of childhood disruptive behavior disorders (ADHD, oppositional-defiant disorder, and conduct disorder), childhood anxiety disorders (separation anxiety and overanxious disorder), and enuresis, compared to patients without mood disorders. The presence of these childhood disorders was associated with an earlier age of onset of bipolar illness.
Limitations: The retrospective nature of the study may have affected both the rates of disorders recalled, as well as the ages of onset of disorders. Different referral sources for bipolar and comparison participants may have also impacted findings.
Conclusions: Bipolar disorder in adults is frequently preceded by childhood disruptive behavior and anxiety disorders. These childhood disorders may be important markers of risk for adult bipolar disorder.
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http://dx.doi.org/10.1016/j.jad.2006.09.001 | DOI Listing |
Neuropsychiatr Dis Treat
January 2025
Unit of Bipolar Disorder, Tianjin Anding Hospital, Tianjin, People's Republic of China.
Purpose: We aimed to verify the impact of functional remediation (FR) on serum brain-derived neurotrophic factor (BDNF) and tyrosine kinase receptor B (TrkB) levels, to explore the biomechanism of FR intervention in patients with euthymic bipolar disorder (BD).
Patients And Methods: This is a randomized controlled, 12-week intervention study with participants randomized into the FR group (n=39) and the treatment as usual group (TAU, n=42) at the 1∶1 ratio. 17-Hamilton Depression Rating Scale-17 (HDRS-17), Young Mania Rating Scale (YMRS), and Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) were used to assess affective symptoms and cognitive functioning both at baseline and week 12, respectively.
Front Psychiatry
January 2025
Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands.
Introduction: Clinical staging aims to refine psychiatric diagnosis by describing mental disorders on a continuum of disorder progression, with the pragmatic goal of improved treatment planning and outcome prediction. The first systematic review on this topic, published a decade ago, included 78 papers, and identified separate staging models for schizophrenia, unipolar depression, bipolar disorder, panic disorder, substance use disorder, anorexia, and bulimia nervosa. The current review updates this review by including new proposals for staging models and by systematically reviewing research based upon full or partial staging models since 2012.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Department of Psychiatry, University of Oxford, Oxford, UK.
Cognitive and neural mechanisms underlying bipolar disorder (BD) and its treatment are still poorly understood. Here we examined the role of adaptations in risk-taking using a reward-guided decision-making task. We recruited volunteers with high (n = 40) scores on the Mood Disorder Questionnaire, MDQ, suspected of high risk for bipolar disorder and those with low-risk scores (n = 37).
View Article and Find Full Text PDFBrain Stimul
January 2025
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Electronic address:
PLoS One
January 2025
Department of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.
Background: Bipolar Disorder (BD) is a complex disease. It is heterogeneous, both at the phenotypic and genetic level, although the extent and impact of this heterogeneity is not fully understood. One way to assess this heterogeneity is to look for patterns in the subphenotype data.
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