Machine Learning Falls Short in Personalizing School-Based Mindfulness for Adolescent Depression Prevention: MYRIAD Trial Insights

Machine Learning Falls Short in Personalizing School-Based Mindfulness for Adolescent Depression Prevention: MYRIAD Trial Insights

Secondary analysis of the MYRIAD trial reveals that while machine learning models can identify adolescents who may benefit from school-based mindfulness training, the clinical relevance of such predictions remains minimal. Both causal forest and elastic net regression models detected statistically significant but practically trivial differences in outcomes.
Universal School-Based Mindfulness Fails to Outperform Standard Care for Adolescent Mental Health: Insights from the MYRIAD Trial

Universal School-Based Mindfulness Fails to Outperform Standard Care for Adolescent Mental Health: Insights from the MYRIAD Trial

A large-scale analysis of the MYRIAD trial indicates that universal school-based mindfulness training does not superiorly reduce depression risk in adolescents. While machine learning identified certain potential responders, the clinical benefits remained trivial, though short-term improvements in teacher burnout were noted.
Scalable Telephone-Based Behavioral and Mindfulness Interventions Effectively Reduce Long-Term Loneliness in At-Risk Older Adults: Insights from the HEAL-HOA Trial

Scalable Telephone-Based Behavioral and Mindfulness Interventions Effectively Reduce Long-Term Loneliness in At-Risk Older Adults: Insights from the HEAL-HOA Trial

The HEAL-HOA randomized clinical trial demonstrates that lay counselor-delivered telephone interventions using behavioral activation and mindfulness significantly and sustainably reduce loneliness and improve well-being among vulnerable, digitally excluded older adults over a 12-month period.