Semaglutide Improves Insulin Sensitivity in Patients With Schizophrenia, Prediabetes, and Obesity Treated With Second-Generation Antipsychotics: Findings From the HISTORI Trial
Posted inDiabetes & Endocrinology news Psychiatry

Semaglutide Improves Insulin Sensitivity in Patients With Schizophrenia, Prediabetes, and Obesity Treated With Second-Generation Antipsychotics: Findings From the HISTORI Trial

In a 30-week randomized trial, semaglutide improved insulin sensitivity, reduced insulin resistance, lowered fasting glucose, and produced substantial weight loss in patients with schizophrenia and prediabetes taking second-generation antipsychotics.
Intersection of Intimate Partner Violence and Substance Use Disorders in the Veteran Population: Screening Gaps, Risk Profiles, and Lethality
Posted inClinical Updates news Psychiatry

Intersection of Intimate Partner Violence and Substance Use Disorders in the Veteran Population: Screening Gaps, Risk Profiles, and Lethality

This review synthesizes evidence on the high prevalence and severity of intimate partner violence (IPV) among veterans with substance use disorders, highlighting gender-specific lethality risks and the critical need for integrated screening and trauma-informed interventions within the Veterans Health Administration.
Semaglutide Shows Promise in Reducing Mental Illness Worsening in Patients with Depression and Anxiety, Swedish Study Finds
Posted inDiabetes & Endocrinology news Psychiatry

Semaglutide Shows Promise in Reducing Mental Illness Worsening in Patients with Depression and Anxiety, Swedish Study Finds

A landmark Swedish cohort study of 95,490 patients reveals that semaglutide is associated with a 42% lower risk of worsening mental illness in people with depression and anxiety, while other GLP-1 receptor agonists show varied effects. The findings suggest potential dual therapeutic benefits for metabolic and mental health conditions.
Machine Learning Falls Short in Personalizing School-Based Mindfulness for Adolescent Depression Prevention: MYRIAD Trial Insights
Posted innews Pediatrics Psychiatry

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.