Aetiology
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A cognitive neuroscience review of the aetiology of ADHD
A simple neurological explanation has yet to identify an aetiology and pathogenesis of the disorder. However, advancements in imaging techniques should help to give a more detailed understanding of the brain regions that are different to those without ADHD.
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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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Accelerated cortical thinning correlates with early signs of depression
The brain undergoes structural changes as it develops over childhood, but whether abnormal structural changes are associated with emerging depressive symptoms in adolescence is unknown. Now, a longitudinal study that enrolled 205 participants aged 8-25 years without signs of depression has used magnetic resonance imaging (MRI) to monitor these brain changes over adolescence.
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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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