From the Editor
The MYRIAD Trial was ambitious, involving more than 8 300 adolescents at 84 schools, with the aim of preventing depression and improving mental well-being by teaching mindfulness through a universal school program. The only catch? There was no difference in outcomes at one year.
Would it be possible to identify adolescents who would benefit from mindfulness? Christian A. Webb (of Harvard University) and his co-authors attempt to answer that question, using AI. And so, a longstanding objective, prevention, was joined with a modern method, machine learning. In the first selection, a paper from JAMA Psychiatry, the authors detail a secondary analysis using two complementary machine learning approaches and the MYRIAD Trial data. “This study found that analyses using machine learning identified a subgroup of participants with a statistically detectable but clinically trivial differential intervention response. These findings highlight the substantial challenges in achieving clinically useful personalization in universal school-based prevention programs.” We consider the paper and its implications.

In the second selection, from the Journal of the American Academy of Child & Adolescent Psychiatry, Alison Athey (of Johns Hopkins University) and her co-authors evaluate the impact of child access prevention laws on youth suicide deaths by firearms. They drew on more than 30 years of mortality data from the Centers for Disease Control and Prevention. “Laws that require families to store firearms unloaded and secured in a locking device appear to effectively prevent youth suicide deaths and firearm-related youth deaths by accident and homicide.”
And in this week’s third selection, Dr. Scott Monteith (of Michigan State University) and his co-authors write about generative AI and adolescents for The British Journal of Psychiatry. They note a surge in use – some 80% of British teens use generative AI – and consider problems, from cyberbullying to mental healthcare. “There is a need to increase awareness of how GenAI may have a negative impact on the mental health of teenagers.”
DG









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