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