Conduct Disorder
“Conduct disorder” refers to a group of repetitive and persistent behavioral and emotional problems in youngsters. Children and adolescents with this disorder have great difficulty following rules, respecting the rights of others, showing empathy, and behaving in a socially acceptable way.
Cluster Number:
Wiki Number: W048
Diagnosis: Conduct Disorder
US Patients: 1-10% of children
World Patients: 51Mil
Sex Ratio: 3-4M;1F
Age Onset: Before 10
Brain Area: lower responses to social behavior:amygdala, insula, orbitofrontal cortex, ventromedial-pfc; less gray matter
Symptoms: lower-level appropriateness to child’s age; anti-social or violent, biting and hitting, later delinquency & truancy, defiance
Progression: IQ-1SD below Mean; defective veral rasoning and executive function;lower serotonin & cortisol-less regulation
Causes: child abuse; alcohol abuse, maternal smoking during pregnancy;leads to earlier substance abuse; 25% learning disability
Medications: 53% heritability;
Therapies: reduced substance abuse helps 1/2
Youtube Video: This is Conduct Disorder
Amazon or Library Book: Anti-Social Youth and Conduct Disorders
Click the book to link or order from Amazon.
Support Group: mhanational.org;
(Parents of Children with Conduct Disorder)
4 CURRENT ARTICLES
FROM PUBMED
The world-wide medical research
reports chosen for each diagnosis
Clicking each title opens the
PubMed article’s summary-abstract.
- The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysisby Yannik Terhorst on November 1, 2024
CONCLUSIONS: Our results provide meta-analytical evidence for between-person correlations of GPS mobility and activity features and depression. Hence, depression diagnostics may benefit from adding GPS mobility and activity features as an integral part of future assessment and expert tools. However, confirmatory studies for between-person correlations and further research on within-person correlations are needed. In addition, the methodological quality of the evidence needs to improve.
- Evaluating the impact of needs assessment models on autistic children's participation in the habilitation process: protocol for a prospective observational studyby Lars-Olov Lundqvist on November 1, 2024
INTRODUCTION: The rising prevalence of autism spectrum disorder (ASD) among children poses significant challenges for healthcare services. Research has underscored the crucial role of children's involvement in their healthcare. However, due to the intricate nature of ASD, marked by communication and social interaction differences, healthcare providers face challenges in tailoring their services to accommodate these children. This project aims to explore the impact of two distinct needs...
- Using machine learning to derive neurobiological subtypes of general psychopathology in late childhoodby Gabrielle E Reimann on October 31, 2024
Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can oversimplify clinical presentations as diagnoses often do not adequately map onto neurobiological features. Alternatively, our study used structural imaging data and a semisupervised machine learning technique, heterogeneity through discriminative analysis, to identify neurobiological subtypes in 9- to 10-year-olds with high psychopathology endorsements (n = 9,027). Our model revealed two stable...
- Seasonal mood variation in youth and young adults with bipolar spectrum disorder: A longitudinal prospective analysisby Xavier Estrada-Prat on October 31, 2024
CONCLUSIONS: Depressive episodes are more prevalent during the winter and although less significant, manic/hypomanic episodes during the summer. Awareness and interventions to prevent or ameliorate the effects of seasonal variations in mood changes in BD are warranted.