{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T06:50:40Z","timestamp":1793256640641,"version":"4.5.0"},"reference-count":52,"publisher":"Oxford University Press (OUP)","issue":"3","funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,3,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Study Objectives<\/jats:title>\n                  <jats:p>To examine the associations between sleep duration, continuity, timing, and mortality using actigraphy among adults.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Data were from a cohort of 88 282 adults (40\u201369 years) in UK Biobank that wore a wrist-worn triaxial accelerometer for 7 days. Actigraphy data were processed to generate estimates of sleep duration and other sleep characteristics including wake after sleep onset (WASO), number of 5-minute awakenings, and midpoint for sleep onset\/wake-up and the least active 5 hours (L5). Data were linked to mortality outcomes with follow-up to October 31, 2021. We implemented Cox models (hazard ratio, confidence intervals [HR, 95% CI]) to quantify sleep associations with mortality. Models were adjusted for demographics, lifestyle factors, and medical conditions.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Over an average of 6.8 years 2973 deaths occurred (1700 cancer, 586 CVD deaths). Overall sleep duration was significantly associated with risk for all-cause (p\u2005&amp;lt;\u20050.01), cancer (p\u2005&amp;lt;\u20050.01), and CVD (p\u2005=\u20050.03) mortality. For example, when compared to sleep durations of 7.0 hrs\/d, durations of 5 hrs\/d were associated with a 29% higher risk for all-cause mortality (HR: 1.29 [1.09, 1.52]). WASO and number of awakenings were not associated with mortality. Individuals with L5 early or late midpoints (&amp;lt;2:30 or\u2005\u2265\u20053:30) had a ~20% higher risk for all-cause mortality, compared to those with intermediate L5 midpoints (3:00\u20133:29; p\u2005\u2264\u20050.01; e.g. HR \u2265 3:30: 1.19 [1.07, 1.32]).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Shorter sleep duration and both early and late sleep timing were associated with a higher mortality risk. These findings reinforce the importance of public health efforts to promote healthy sleep patterns in adults.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/sleep\/zsad312","type":"journal-article","created":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T04:38:16Z","timestamp":1702096696000},"source":"Crossref","is-referenced-by-count":30,"title":["Associations between actigraphy-measured sleep duration, continuity, and timing with mortality in the UK Biobank"],"prefix":"10.1093","volume":"47","author":[{"given":"Pedro F","family":"Saint-Maurice","sequence":"first","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health , Bethesda, MD , USA"},{"name":"Breast Unit, Champalimaud Clinical Center, Champalimaud Foundation , Lisbon , Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7483-7848","authenticated-orcid":false,"given":"Joshua 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