Download full-text PDF |
Source |
---|
JAMA Netw Open
January 2025
ISGlobal, Barcelona, Spain.
Importance: Climate change can adversely affect mental health, but the association of ambient temperature with psychiatric symptoms remains poorly understood.
Objective: To assess the association of ambient temperature exposure with internalizing, externalizing, and attention problems in adolescents from 2 population-based birth cohorts in Europe.
Design, Setting, And Participants: This cohort study analyzed data from the Dutch Generation R Study and the Spanish INMA (Infancia y Medio Ambiente) Project.
Ann Nucl Med
January 2025
Department of Radiological Sciences, School of Health Science, Fukushima Medical University, 10-6 Sakae, Fukushima City, Fukushima, 960-8516, Japan.
Objective: This study aims to accurately classify ATN profiles using highly specific amyloid and tau PET ligands and MRI in patients with cognitive impairment and suspected Alzheimer's disease (AD). It also aims to explore the relationship between quantified amyloid and tau deposition and cognitive function.
Methods: Twenty-seven patients (15 women and 12 men; age range: 64-81 years) were included in this study.
Eur Child Adolesc Psychiatry
January 2025
University of Edinburgh, Edinburgh, United Kingdom.
Objective: This study aimed to investigate the longitudinal bi-directional relationship between self-reported restrictive eating behaviours and sleep characteristics within a sample of UK adolescents from the Millennium Cohort Study (MCS).
Method: Using a Structural Equation Modelling approach, the present study investigated the prospective associations between individual sleep behaviours (e.g.
Brain
January 2025
Department of Child and Adolescent Psychopathology, CHU de Lyon, F-69000 Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, F-69000 Lyon, France.
Computational neuropsychiatry is a leading discipline to explain psychopathology in terms of neuronal message passing, distributed processing, and belief propagation in neuronal networks. Active Inference (AI) has been one of the ways of representing this dysfunctional signal processing. It involves that all neuronal processing and action selection can be explained by maximizing Bayesian model evidence, or minimizing variational free energy.
View Article and Find Full Text PDFObesity (Silver Spring)
February 2025
Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: The objective was to evaluate the longitudinal patterns of central and general obesity, identify their genetic and behavioral risk determinants, and investigate the association of distinct obesity trajectories beyond middle age with subsequent cognitive decline and the risk of developing dementia in late life.
Methods: Using a nationally representative, longitudinal, community-based cohort, we examined trajectory patterns of obesity over a 14-year span beyond middle age employing latent mixture modeling. We then evaluated their relationship with subsequent cognitive decline through linear mixed models and with the risk of developing dementia using Cox models, adjusting for confounding variables.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!