{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T07:05:03Z","timestamp":1789715103238,"version":"4.0.1"},"reference-count":49,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Bipolar Disorders"],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>While growing evidence implicates sleep\u2010wake and circadian rhythm disturbances (SCRDs) in the onset and course of mood and psychotic disorders, longitudinal studies using objective measures are limited. This clinical cohort study examined whether actigraphy\u2010derived SCRDs (sleep duration, timing, and efficiency) predicted transition to (i) any full\u2010threshold mental disorders; and then specifically; (ii) full\u2010threshold bipolar or psychotic disorders; or (iii) other full\u2010threshold (i.e., depressive or anxiety) disorders, in youth accessing mental health care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Actigraphy monitoring was completed for 5\u201323\u2009days in 250 participants (aged 12\u201330) presenting to youth\u2010focused early intervention services in Sydney, Australia. Participants were followed longitudinally as part of the Optymise cohort for at least 6+ months (up to 8\u2009years; median 2.5\u2009years). Logistic regression and Cox proportional hazards models estimated associations between SCRDs and illness progression, after controlling for relevant baseline clinical and demographic covariates (e.g., age, sex, social and occupational functioning, mania\u2010like and psychotic\u2010like experiences, medication use).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Longer sleep duration at baseline predicted higher odds of transition (OR\u2009=\u20092.23 [95% CI\u2009=\u20091.38\u20133.74]), and shorter time\u2010to\u2010transition (HR\u2009=\u20092.05 [95% CI\u2009=\u20091.23\u20133.40]) to full\u2010threshold bipolar or psychotic disorders. This effect remained significant after controlling for clinical covariates. Later sleep midpoint predicted transition to any full\u2010threshold mental disorder (OR\u2009=\u20091.46 [95% CI\u2009=\u20091.02\u20132.17]) at the uncorrected significance level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Excessive sleep duration may represent an early marker of vulnerability for progression to severe mental illness. Findings support the prognostic utility of objective measures of SCRDs to guide indicated prevention and early intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bdi.70183","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T06:58:16Z","timestamp":1789714696000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth Accessing Early Intervention Mental Health Services"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9766-6700","authenticated-orcid":false,"given":"Joanne S.","family":"Carpenter","sequence":"first","affiliation":[{"name":"Youth Mental Health and Technology Team, Brain and Mind Centre The University of Sydney  New South Wales 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Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1648-341X","authenticated-orcid":false,"given":"Mirim","family":"Shin","sequence":"additional","affiliation":[{"name":"Youth Mental Health and Technology Team, Brain and Mind Centre The University of Sydney  New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7649-4711","authenticated-orcid":false,"given":"Natalia","family":"Zmicerevska","sequence":"additional","affiliation":[{"name":"Youth Mental Health and Technology Team, Brain and Mind Centre The University of Sydney  New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6404-7199","authenticated-orcid":false,"given":"Alissa","family":"Nichles","sequence":"additional","affiliation":[{"name":"Youth Mental Health and Technology Team, Brain and Mind Centre The University of Sydney  New 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