Childhood Aggression and Adult Criminality

This 30-year longitudinal study examined pathways from problematic childhood behavior patterns to future disadvantaged conditions for family environment and child rearing in adulthood. Participants were mothers (n = 328) and fathers (n = 222) with lower income backgrounds participating in the ongoing Concordia Longitudinal Risk Project. Structural Equation Modeling was used to examine pathways from childhood aggression and social withdrawal to future high school drop-out, early parenthood, parental absence, and family poverty after the participants became parents. Childhood aggression directly predicted early parenthood and parental absence in both mothers’ and fathers’ models, and high school drop-out for the fathers (for the mothers, this path was indirect via achievement in primary school). Childhood aggression predicted family poverty indirectly, with some gender differences in significant pathways.

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Childhood aggression: response to commentary

Canadian Medical Association Journal ◽

10.1503/cmaj.111-2100 ◽

2011 ◽

Vol 183 (18) ◽

pp. 2147-2147

Author(s):

C. E. Temcheff

Keyword(s):

Childhood Aggression

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Clinical Implications From the Treatment of Severe Childhood Aggression (TOSCA) Study: A Re-Analysis and Integration of Findings

Journal of the American Academy of Child & Adolescent Psychiatry ◽

10.1016/j.jaac.2017.09.426 ◽

2017 ◽

Vol 56 (12) ◽

pp. 1026-1033 ◽

Cited By ~ 3

Author(s):

Justin A. Barterian ◽

L. Eugene Arnold ◽

Nicole V. Brown ◽

Cristan A. Farmer ◽

Craig Williams ◽

...

Keyword(s):

Childhood Aggression ◽

Clinical Implications

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Childhood Aggression in the Context of Family Interaction

Applied Clinical Psychology - Childhood Aggression and Violence ◽

10.1007/978-1-4684-5170-2_6 ◽

1987 ◽

pp. 117-158 ◽

Cited By ~ 5

Author(s):

Teru Morton

Keyword(s):

Family Interaction ◽

Childhood Aggression

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A Multimedia Violence Prevention Program Increases Pediatric Residents’ and Childcare Providers’ Knowledge About Responding to Childhood Aggression

Clinical Pediatrics ◽

10.1177/000992280504400505 ◽

2005 ◽

Vol 44 (5) ◽

pp. 413-417 ◽

Cited By ~ 9

Author(s):

Seth J. Scholer ◽

Stephanie M. Reich ◽

Robyn B. Boshers ◽

Len Bickman

Keyword(s):

Violence Prevention ◽

Prevention Program ◽

Childhood Aggression ◽

Pediatric Residents ◽

Violence Prevention Program ◽

Childcare Providers

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Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling

10.21203/rs.3.rs-356217/v1 ◽

2021 ◽

Author(s):

Karim Ibrahim ◽

Stephanie Noble ◽

George He ◽

Cheryl Lacadie ◽

Michael Crowley ◽

...

Keyword(s):

Large Scale ◽

Functional Organization ◽

Emotion Processing ◽

Childhood Aggression ◽

Child Aggression ◽

Targeted Treatments ◽

Machine Learning Approach ◽

Out Of Sample ◽

Functional Brain Networks ◽

Large Scale Networks

Abstract Disruptions in frontoparietal networks supporting emotion regulation have been long implicated in maladaptive childhood aggression. However, the association of connectivity between large-scale functional networks in the human connectome with aggressive behavior has not been tested. By using a data-driven, machine learning approach, we show that the functional organization of the connectome during emotion processing predicts severity of aggression in children (n=129). Connectivity predictive of aggression was identified within and between large-scale networks implicated in cognitive control (frontoparietal), social functioning (default mode), and emotion processing (subcortical). Out-of-sample replication and generalization of findings predicting aggression from the functional connectome was conducted in an independent sample of children from the Adolescent Brain Cognitive Development study (n=1,791; n=1,701). These results define novel connectivity-based networks of child aggression that can serve as biomarkers to inform targeted treatments for aggression.

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Genome-wide association meta-analysis of childhood and adolescent internalising symptoms

10.1101/2020.09.11.20175026 ◽

2020 ◽

Author(s):

Eshim S Jami ◽

Anke R Hammerschlag ◽

Hill F Ip ◽

Andrea G Allegrini ◽

Beben Benyamin ◽

...

Keyword(s):

Confidence Intervals ◽

Meta Analysis ◽

Genetic Correlations ◽

Genetic Effects ◽

Childhood Aggression ◽

Genome Wide Association ◽

Childhood And Adolescence ◽

Obsessive Compulsive ◽

Compulsive Disorder ◽

Genome Wide

Internalising symptoms in childhood and adolescence are as heritable as adult depression and anxiety, yet little is known of their molecular basis. This genome-wide association meta-analysis of internalising symptoms included repeated observations from 64,641 individuals, aged between 3 and 18. The N-weighted meta-analysis of overall internalising symptoms (INToverall) detected no genome-wide significant hits and showed low SNP heritability (1.66%, 95% confidence intervals 0.84-2.48%, Neffective=132,260). Stratified analyses showed rater-based heterogeneity in genetic effects, with self-reported internalising symptoms showing the highest heritability (5.63%, 95% confidence intervals 3.08-8.18%). Additive genetic effects on internalising symptoms appeared stable over age, with overlapping estimates of SNP heritability from early-childhood to adolescence. Gene-based analyses showed significant associations with three genes: WNT3 (p=1.13×10-06), CCL26 (p=1.88×10-06), and CENPO (p=2.54×10-06). Of these, WNT3 was previously associated with neuroticism, with which INToverall also shared a strong genetic correlation (rg=0.76). Genetic correlations were also observed with adult anxiety, depression, and the wellbeing spectrum (|rg|> 0.70), as well as with insomnia, loneliness, attention-deficit hyperactivity disorder, autism, and childhood aggression (range |rg|=0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Overall, childhood and adolescent internalising symptoms share substantial genetic vulnerabilities with adult internalising disorders and other childhood psychiatric traits, which could explain both the persistence of internalising symptoms over time, and the high comorbidity amongst childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.

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Early childhood aggressive behaviour: Negative interactions with paternal antisocial behaviour and maternal postpartum depressive symptoms across two international cohorts

European Psychiatry ◽

10.1016/j.eurpsy.2018.07.007 ◽

2018 ◽

Vol 54 ◽

pp. 77-84 ◽

Cited By ~ 1

Author(s):

Mijke P. Lambregtse-van den Berg ◽

Henning Tiemeier ◽

Frank C. Verhulst ◽

Vincent Jaddoe ◽

Elizabeth Tindall ◽

...

Keyword(s):

Early Childhood ◽

Postpartum Depression ◽

Aggressive Behaviour ◽

Antisocial Behaviour ◽

Childhood Aggression ◽

Negative Interaction ◽

Future Studies ◽

The United Kingdom ◽

Underlying Mechanisms ◽

Maternal Postpartum Depression

AbstractBackground:Early childhood aggressive behaviour is a predictor of future violence. Therefore, identifying risk factors for children’s aggressive behaviour is important in understanding underlying mechanisms. Maternal postpartum depression is a known risk factor. However, little research has focused on the influence of paternal behaviour on early childhood aggression and its interaction with maternal postpartum depression.Methods:This study was performed in two cohorts: the Fathers Project, in the United Kingdom (n = 143) and the Generation R Study, in The Netherlands (n = 549). In both cohorts, we related paternal antisocial personality (ASP) traits and maternal postpartum depressive (PPD) symptoms to childhood aggressive behaviour at age two (Fathers Project) and age three (Generation R Study). We additionally tested whether the presence of paternal ASP traits increased the association between maternal PPD–symptoms and early childhood aggression.Results:The association between paternal ASP traits and early childhood aggressive behaviour, corrected for maternal PPD-symptoms, was similar in magnitude between the cohorts (Fathers Project: standardized β = 0.12, p = 0.146; Generation R: β = 0.14, p = 0.001), although the association was not statistically significant in the Fathers Project. Strikingly, and in contrast to our expectations, there was evidence of a negative interaction between paternal ASP traits and maternal PPD-symptoms on childhood aggressive behaviour (Fathers Project: β = −0.20, p = 0.020; Generation R: β = −0.09, p = 0.043) in both studies. This meant that with higher levels of paternal ASP traits the association between maternal PPD-symptoms and childhood aggressive behaviour was less and vice versa.Conclusions:Our findings stress the importance of including both maternal and paternal psychopathology in future studies and interventions focusing on early childhood aggressive behaviour.

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