{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["3(3)"],"submitter":["Phillips EM"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Method</h4>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 chai"],"journal":["JAACAP open"],"pagination":["701-712"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12414309"],"repository":["biostudies-literature"],"pubmed_title":["Adolescent Sleep as a Transdiagnostic Factor: Associations Between Actigraphy-Derived Night-to-Night Sleep Metrics and Adolescent Psychopathology."],"pmcid":["PMC12414309"],"pubmed_authors":["Brock RL","Espy KA","Goldberg EL","Phillips EM","Hamburger ER","Nelson JM","Mason WA","Nelson TD"],"additional_accession":[]},"is_claimable":false,"name":"Adolescent Sleep as a Transdiagnostic Factor: Associations Between Actigraphy-Derived Night-to-Night Sleep Metrics and Adolescent Psychopathology.","description":"<h4>Objective</h4>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.<h4>Method</h4>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 chai","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-06-02T22:35:54.131Z","creation":"2026-05-28T03:06:53.255Z"},"accession":"S-EPMC12414309","cross_references":{"pubmed":["40922796"],"doi":["10.1016/j.jaacop.2024.06.001"]}}