Risk factors
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Children with a language disorder are vulnerable to sexual abuse
Preliminary data suggest that children with language disorder may be at an increased risk of child sexual abuse (CSA),1,2 but few have studied the CSA experiences, disclosure patterns or reactions to disclosure in these children.
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JCPP Editorial: Volume 59, Issue 10, October 2018
“Troubled trajectories – new insights on risk pathways and developmental phenotypes of ADHD and externalizing problems” by S. Alexandra Burt, Jeffrey M. Halperin & Albertine J. Oldehinkel
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Moving towards prevention as the intervention of choice for depression in children and adolescents
Are there sub-groups of children characterized by similarities in the development of depressive symptoms? And, if there are, could this be a basis for early intervention and prevention of depressive disorder?
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The trajectories of depressive symptoms expressed in early childhood differ between boys and girls
A study by Diana Whalen and colleagues at Washington University has used latent class analysis (LCA) to identify and define the trajectories of latent classes of depressive symptoms in early childhood.
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Genetic factors influence the relationship between the home environment and onset of depressive symptom
Clinical depression is prevalent in adolescence, but how depression emerges and the nature of the early risk factors is unknown. Insight has now come from a study performed by researchers at King’s College London.
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Persistent picky eating predicts pervasive developmental disorders in children
Picky eating — characterized by food refusal, unwillingness to try new foods or eating a limited variety of foods — affects 14-50% preschool children and is often considered by clinicians as a normal phase of child development.
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Understanding eating disorder susceptibility requires an integrated sociological, biological and genetic approach
In 2015, Kristen Culbert, Sarah Racine and Kelly Klump compiled a Research Review on the underlying causes of eating disorders for the Journal of Child Psychology and Psychiatry.
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Machine learning approach predicts suicide risk
A study has evaluated the performance of machine learning on routinely collected electronic health records, as a possible approach to accurately screen and detect adolescents at risk of making suicide attempts.
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Violent self-harm may predict subsequent suicide
Researchers in Sweden have found that violent methods of self-harm requiring hospitalization may indicate high risk of future suicide in adolescents and young women.
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Suicide risk in the young: what, how and who to study
Suicide is the second leading cause of death in children and adolescents and occurs at a higher rate in this population than in any other age group.
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