Absence of gender differences in pediatric bipolar disorder: findings from a large sample of referred youth.

J Affect Disord

Clinical and Research Program in Pediatric Psychopharmacology of the Child Psychiatry Service, Massachusetts General Hospital, Pediatric Psychopharmacology Unit (WACC 725), 15 Parkman Street, Boston, MA 02114, USA.

Published: December 2004

Background: Because little is known about gender differences in pediatric bipolar disorder, we evaluated whether gender moderates the expression of pediatric bipolar disorder in a large clinical sample.

Methods: Subjects were consecutively referred youth aged 18 years or less who met full criteria for DSM-III-R bipolar disorder (BPD) (females, n=74; BD males, n=224). All subjects were assessed with a structured diagnostic interview and measures of psychosocial and family functioning.

Results: Most of the bipolar subjects (91% of males, 70% of females) also had ADHD. Bipolar disorder was equally prevalent in both genders. Among females and males, severe irritability (83% and 80%, respectively), mixed presentation (87% and 84%, respectively), chronic course (84% and 77%, respectively) and prepubertal onset (78% and 93%, respectively) predominated the clinical picture. We found no meaningful differences between genders in the number of BPD symptoms, type of treatment for BPD (counseling, medication, hospitalization), severity of educational deficits, severity of family and interpersonal functioning or patterns of psychiatric comorbidity.

Conclusions: Because gender does not moderate the clinical expression of pediatric bipolar disorder, our data does not suggest that gender specific criteria for the disorder are warranted.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jad.2004.08.005DOI Listing

Publication Analysis

Top Keywords

bipolar disorder
24
pediatric bipolar
16
gender differences
8
differences pediatric
8
referred youth
8
expression pediatric
8
bipolar
7
disorder
7
absence gender
4
pediatric
4

Similar Publications

Mental disorders are complex illnesses with multifactorial etiologies involving genetic and environmental components. This review focuses on cellular models derived from the olfactory epithelium as a promising tool to study the molecular mechanisms of some neuropsychiatric diseases. The authors consider cell lines allowing the identification of potential biomarkers and pathogenetic mechanisms of schizophrenia, bipolar disorder, and Alzheimer's disease.

View Article and Find Full Text PDF

Nose-to-brain delivery of lithium via a sprayable in situ-forming hydrogel composed of chelating starch nanoparticles.

J Control Release

December 2024

Department of Chemical Engineering, McMaster University, 1280 Main Street, West Hamilton, ON L8S 4L8, Canada. Electronic address:

While bipolar disorder patients can benefit from lithium therapy, high levels of lithium in the serum can induce undesirable systemic side effects. Intranasal (IN) lithium delivery offers a potential solution to this challenge given its potential to facilitate improved lithium transport to brain when delivered to the olfactory mucosa. Herein, a sprayable, in situ forming nanoparticle network hydrogel (NNH) based on Schiff base interactions between chelator-functionalized oxidized starch nanoparticles (SNPs) and carboxymethyl chitosan (CMCh) is reported that can be deployed within the nasal cavity to release ultra-small penetrative SNPs over time.

View Article and Find Full Text PDF

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.

View Article and Find Full Text PDF

Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values.

Curr Issues Mol Biol

November 2024

Systems Biology Unit, Department of Experimental Biology, Faculty of Experimental Sciences, University of Jaén, 23071 Jaén, Spain.

Neurological disorders such as Autism Spectrum Disorder (ASD), Schizophrenia (SCH), Bipolar Disorder (BD), and Major Depressive Disorder (MDD) affect millions of people worldwide, yet their molecular mechanisms remain poorly understood. This study describes the application of the Comparative Analysis of Shapley values (CASh) to transcriptomic data from nine datasets associated with these complex disorders, demonstrating its effectiveness in identifying differentially expressed genes (DEGs). CASh, which combines Game Theory with Bootstrap resampling, offers a robust alternative to traditional statistical methods by assessing the contribution of each gene in the broader context of the complete dataset.

View Article and Find Full Text PDF

Developing a Sleep Algxorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study.

JMIR Ment Health

December 2024

Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.

Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.

Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.

View Article and Find Full Text PDF

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!