Amplifying School Mental Health Literacy Through Neuroscience Education.

Children and adolescents face a wide variety of developmental changes and environmental challenges, and it is estimated that at least one in five children aged 3-17 will experience behavioral or mental health issues. This period of life coincides with major changes in brain structure and function that have profound long-term consequences for learning, decision-making (including risk taking), and emotional processing. For example, continued development of the prefrontal cortex in adolescence is a sensitive period during which individuals are particularly susceptible to risky behaviors, environmental stressors, and substance use.

Qualitative Evaluation of the Impact of a School Mental Health Literacy Curriculum on Student-Teacher Relationships.

Mental health literacy (MHL) programs, which aim to improve knowledge, reduce stigma and promote help-seeking behavior, are a promising approach to meeting the growing mental and behavioral health needs of youth. This study aimed to understand the relational impacts of a MHL curriculum on students and teachers. A MHL curriculum was delivered in middle school classrooms across 11 schools in two diverse school districts in the Mid-Atlantic and Southeast regions.

How Accurately Can We Recall the Timing of Food Intake? A Comparison of Food Times from Recall-Based Survey Questions and Daily Food Records.

Background: There currently are no standard, low-cost, and validated methods to assess the timing of food intake.

Objectives: The aim of this study was to validate simple, recall-based questions that can characterize food timing in free-living populations.

Methods: The concordance between recall-based survey questions and food times estimated from multiple daily food records was assessed in 249 generally healthy, free-living adults from the Shift Work, Heredity, Insulin, and Food Timing (SHIFT) Study.

Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits.

Dietary intake is a major contributor to the global obesity epidemic and represents a complex behavioural phenotype that is partially affected by innate biological differences. Here, we present a multivariate genome-wide association analysis of overall variation in dietary intake to account for the correlation between dietary carbohydrate, fat and protein in 282,271 participants of European ancestry from the UK Biobank (n = 191,157) and Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 91,114), and identify 26 distinct genome-wide significant loci. Dietary intake signals map exclusively to specific brain regions and are enriched for genes expressed in specialized subtypes of GABAergic, dopaminergic and glutamatergic neurons.

Genome-wide association study of breakfast skipping links clock regulation with food timing.

Background: Little is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits.

Objectives: The aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait.