Our study is the first using multiple variables to compare concurrent with longitudinal predictors of cognitive disengagement syndrome (CDS). The population-based sample comprised 376 youth (mean baseline age 8.7 and follow-up 16.4 years) rated by parents on the Pediatric Behavior Scale. The baseline CDS score was the strongest predictor of follow-up CDS. Baseline autism and insomnia symptoms also predicted follow-up CDS above and beyond baseline CDS. Autism, insomnia, inattention, somatic complaints, and excessive sleep were concurrently related to CDS at baseline and follow-up. Additionally, follow-up depression was associated with follow-up CDS, and baseline hyperactivity/impulsivity was negatively associated with baseline CDS. Oppositional defiant/conduct problems and anxiety were nonsignificant. Age, sex, race, and parent occupation were unrelated to CDS, and correlations between baseline CDS and 15 IQ, achievement, and neuropsychological test scores were nonsignificant. Results indicate childhood CDS is the strongest risk factor for adolescent CDS, followed by autism and insomnia symptoms.
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http://dx.doi.org/10.1007/s10578-023-01565-2 | DOI Listing |
Transl Psychiatry
January 2025
Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China.
Despite observational studies linking brain iron levels to psychiatric disorders, the exact causal relationship remains poorly understood. This study aims to examine the relationship between iron levels in specific subcortical brain regions and the risk of psychiatric disorders. Utilizing two-sample Mendelian randomization (MR) analysis, this study investigates the causal associations between iron level changes in 16 subcortical nuclei and eight major psychiatric disorders, including schizophrenia (SCZ), major depressive disorder (MDD), autism spectrum disorders (ASD), attention-deficit/hyperactivity disorder, bipolar disorder, anxiety disorders, obsessive-compulsive disorder, and insomnia.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.
Insomnia disorder (ID) is a highly heterogeneous psychiatric disease, and the use of neuroanatomical data to objectively define biological subtypes is essential. We aimed to examine the neuroanatomical subtypes of ID by morphometric similarity network (MSN) and the association between MSN changes and specific transcriptional expression patterns. We recruited 144 IDs and 124 healthy controls (HC).
View Article and Find Full Text PDFNat Rev Neurol
January 2025
Sleep Research Centre, Oasi Research Institute - IRCCS, Troina, Italy.
Sleep is essential for brain development and overall health, particularly in children with neurodevelopmental disorders (NDDs). Sleep disruptions can considerably impact brain structure and function, leading to dysfunction of neurotransmitter systems, metabolism, hormonal balance and inflammatory processes, potentially contributing to the pathophysiology of NDDs. This Review examines the prevalence, types and mechanisms of sleep disturbances in children with NDDs, including autism spectrum disorder, attention-deficit hyperactivity disorder and various genetic syndromes.
View Article and Find Full Text PDFGenes Brain Behav
December 2024
Department of Biology, Maynooth University, Maynooth, County Kildare, Ireland.
Genetic correlations have been reported between chronotype and both autism (AUT) and schizophrenia (SCZ), as well as between insomnia and attention-deficit/hyperactivity disorder (ADHD), bipolar disorder (BP), schizophrenia (SCZ) and major depression (MDD). Our study aimed to investigate these shared genetic variations using genome-wide and pathway-based polygenic score analyses. We computed polygenic scores using summary statistics from genome-wide association studies (GWAS) of ADHD (N = 225,534), AUT (N = 46,350), BP (N = 353,899), MDD (N = 500,199) and SCZ (N = 160,779).
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Suzhou Guangji Hospital, Suzhou, Jiangsu Province, Affiliated Guangji Hospital of Soochow University, Suzhou, 215137, Jiangsu Province, China.
Background: In observational studies, frailty has been strongly associated with mental disorders. However, the mechanisms underlying the association between frailty and mental disorders remain unclear.
Methods: We conducted a two-sample Mendelian randomization (MR) study to assess the causal relationship between frailty, as measured by the frailty index (FI), and ten common mental disorders.
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