ArticleJAACAP open2025
Adolescent Sleep as a Transdiagnostic Factor: Associations Between Actigraphy-Derived Night-to-Night Sleep Metrics and Adolescent Psychopathology.
Article in JAACAP open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Links of fitbit-derived sleep architecture and fragmentation with ADHD symptoms and externalizing behaviors in adolescents.European child & adolescent psychiatry · 2026Article
- Precision sleep signatures to predict mental health outcomes in youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Review
- Longitudinal associations between preschool executive control and adolescent sleep: exploring the possible moderating role of negative affectivity.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2026Article
- Mapping sleep disturbance and nap desire to dimensions of psychopathology in U.S. adults.Frontiers in psychology · 2026Article
- The indirect effect of sleep quality on stress-related psychosocial outcomes in adolescents: an investigation across genders.Frontiers in psychology · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study examined associations between actigraphy-derived sleep metrics (ie, intraindividual sleep variability, average sleep duration, bedtime, and waketime) and psychopathology to discern their roles as potential transdiagnostic factors related to psychiatric problems during adolescence. Method: In a sample of 238 adolescents (aged 14-18 years; 0.4% Asian American, 4.0% Black, 22.0% Multiracial, and 73.5% White; 53.4% female) oversampled for socioeconomic risk, we used a bifactor s-1 model of psychopathology, with emotion dysregulation as the reference indicator, to model the general factor of dysregulation and psychopathology (GF-DP) as well as specific internalizing and externalizing factors. We used multilevel structural equation modeling with the Markov chain Monte Carlo procedure to model latent means and intraindividual variability in nightly sleep duration, bedtime, and waketime over 14 nights, and to test whether they had general or specific associations with psychopathology. Furthermore, we examined whether sociodemographic variables moderated the associations between psychopathology and the various sleep metrics. Results: Results indicated a significant positive association between the GF-DP and intraindividual variability in sleep duration (β = 0.18, 95% CI = 0.013, 0.335). This association was consistent across multiple demographic characteristics, highlighting its broad relevance. The study did not find significant associations with specific internalizing or externalizing problems or other sleep metrics. Conclusion: Findings emphasize intraindividual variability in sleep duration as a key transdiagnostic factor in adolescent psychopathology. Targeting sleep variability could lead to more effective interventions, potentially reducing the prevalence of a broad spectrum of psychiatric disorders. Future research using diverse samples and longitudinal designs is warranted to build on these insights. Clinical guidance: • Clinicians should assess for consistency of adolescent sleep in addition to the amount of time an adolescent is sleeping. Sleep inconsistency may be more relevant to adolescents' mental health problems than total sleep time.• Interventions aimed at improving the consistency of young people's sleep, such as the Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C), may be beneficial in reducing diverse forms of mental health problems (eg, depression, anxiety, attention problems, oppositionality, and conduct problems).• Improving consistency of sleep may be particularly beneficial for adolescents with comorbid mental health problems.
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