Rising concerns about youth mental health underscore the need to clarify ecological correlates of broad psychological vulnerability. Using a school-based sample of 8,981 Chinese adolescents, this study examined multilevel correlates of a latent general psychopathology factor (p factor) of mental health difficulties. Self-report measures assessed individual, family, school, and social-environmental factors. A sequential feature-selection procedure (univariate screening, LASSO, Boruta) identified 31 candidate variables, which were incorporated into a Bayesian network to estimate conditional associations. Twenty-four variables showed direct conditional associations with the p factor, spanning sleep quality, repetitive negative thinking, impulsivity, childhood trauma, interparental conflict, peer verbal victimization, learning burnout, academic stress, and digital social pressures. Sleep quality demonstrated the strongest association. Findings highlight the interplay of individual and contextual correlates of broad psychopathology and may help inform school- and family-based prevention efforts.

Aging causes dramatic alterations in bodily functions. Among them, sleep quality declines with age, particularly in individuals with neurodegenerative diseases. In this review, we first describe alterations in sleep-wake architecture and discuss potential mechanisms underlying sleep disorders that arise with age. We discuss evidence linking sleep disorders with neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), progressive supranuclear palsy (PSP), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) syndrome. Even though the causes of AD, PD, PSP, and HD are diverse, several shared symptoms including difficulty falling asleep, fragmented sleep, and disrupted circadian rhythm collectively suggest their pathologies disrupt sleep-wake control. Hyperexcitability of implicated neurons is commonly observed prior to neurodegeneration. Upregulated neuronal excitability in the early phase of these diseases appears as a potential shared mechanism among neurodegenerative diseases. Abnormal protein accumulation and aggregation in these diseases exacerbate neuronal circuit hyperactivity by increasing neurons' intrinsic excitability or dampening inhibitory inputs to neurons controlling sleep-wake cycles. A better understanding of the mechanisms underlying sleep disorders that emerge with age may greatly benefit the development of novel preventative and therapeutic strategies for neurodegenerative diseases, and therefore improve the life quality of older adults.

BackgroundWomen with ADHD and autism experience elevated rates of premenstrual problems, yet no direct comparisons between these conditions exist in adults.ObjectivesThis study examined premenstrual dysphoric disorder (PMDD) prevalence, symptoms, and impairment across ADHD, autism, and neurotypical women.DesignCross-sectional data from 199 women aged 20-40 without hormonal contraceptive use were analyzed across two samples.MethodsParticipants included 89 with ADHD, 39 with autism, and 71 controls. Premenstrual symptoms were assessed using the Premenstrual Symptoms Screening Tool (PSST), alongside measures of ADHD characteristics, autism traits, and sensory hypersensitivity.ResultsBoth ADHD and autistic women showed significantly elevated provisional PMDD rates according to the PSST screening instrument compared to controls, with no significant difference between neurodivergent groups. Dimensional analyses revealed positive associations between premenstrual symptoms and neurodiverse traits, particularly inattention, hyperactivity-impulsivity, and social skills difficulties. The impact of premenstrual problems was similarly associated with these traits across diagnostic groups. Contrary to hypotheses, sensory hypersensitivity was not independently associated with premenstrual symptoms after controlling for ADHD and autism characteristics.ConclusionsPremenstrual problems constitute a significant burden for both ADHD and autistic women, with dimensional associations suggesting that individuals with more severe neurodivergent traits face heightened risk. Yet our findings also demonstrate that prevalence estimates are only as reliable as the recruitment strategies behind them. Advancing this field requires both greater clinical attention to menstrual cycle-related difficulties in neurodivergent populations and recruitment strategies that yield dependable estimates.