Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth accessing Early Intervention Mental Health Services.
Saved in:
| Title: | Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth accessing Early Intervention Mental Health Services. |
|---|---|
| Authors: | Carpenter JS; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Crouse JJ; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Varidel M; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Tonini E; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Shin M; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Zmicerevska N; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Nichles A; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Hermens DF; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.; Thompson Institute, University of the Sunshine Coast, Birtinya, Australia., Merikangas KR; Genetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA., Scott EM; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Hickie IB; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia., Iorfino F; Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia. |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2026 Mar 05. Date of Electronic Publication: 2026 Mar 05. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!