000281127 001__ 281127
000281127 005__ 20251005002025.0
000281127 0247_ $$2doi$$a10.1093/sleep/zsaf129
000281127 0247_ $$2pmid$$apmid:40377976
000281127 0247_ $$2pmc$$apmc:PMC12417016
000281127 0247_ $$2ISSN$$a0161-8105
000281127 0247_ $$2ISSN$$a1550-9109
000281127 0247_ $$2altmetric$$aaltmetric:178350369
000281127 037__ $$aDZNE-2025-01086
000281127 041__ $$aEnglish
000281127 082__ $$a610
000281127 1001_ $$aYiallourou, Stephanie$$b0
000281127 245__ $$aSleep architecture and dementia risk in adults: an analysis of 5 cohorts from the Sleep and Dementia Consortium.
000281127 260__ $$aOxford$$bOxford Univ. Press$$c2025
000281127 3367_ $$2DRIVER$$aarticle
000281127 3367_ $$2DataCite$$aOutput Types/Journal article
000281127 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1759226124_23816
000281127 3367_ $$2BibTeX$$aARTICLE
000281127 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000281127 3367_ $$00$$2EndNote$$aJournal Article
000281127 520__ $$aPoor sleep may play a role in the risk of dementia. However, few studies have investigated the association between polysomnography (PSG)-derived sleep architecture and dementia incidence. We examined the relationship between sleep architecture and dementia incidence across five US-based cohort studies from the Sleep and Dementia Consortium.Percent of time spent in stages of sleep (N1, N2, N3, rapid eye movement sleep), wake after sleep onset, sleep maintenance efficiency, apnea-hypopnea index, and relative delta power were derived from a single night home-based PSG. Dementia was ascertained in each cohort using its cohort-specific criteria. Each cohort performed Cox proportional hazard regressions for each sleep exposure and incident dementia, adjusting for age, sex, body mass index, antidepressant use, sedative use, and APOE e4 status. Results were then pooled in a random effects model.The pooled sample comprised 4657 participants (30% women) aged ≥ 60 years (mean age was 74 years at sleep assessment). There were 998 (21.4%) dementia cases (median follow-up time of 5 to 19 years). Pooled effects of the five cohorts showed no association between sleep architecture and incident dementia. When pooled analysis was restricted to the three cohorts which had dementia case ascertainment based on DSM-IV/V criteria (n = 2374), higher N3% was marginally associated with an increased risk of dementia (hazard ratio (HR): 1.06; 95%CI: 1.00-1.12, per percent increase N3, p = .050).There were no consistent associations between sleep architecture measured and the risk of incident dementia. Implementing more nuanced sleep metrics and examination of associations with dementia subtypes remains an important next step for uncovering more about sleep-dementia associations.
000281127 536__ $$0G:(DE-HGF)POF4-353$$a353 - Clinical and Health Care Research (POF4-353)$$cPOF4-353$$fPOF IV$$x0
000281127 588__ $$aDataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
000281127 650_7 $$2Other$$aAlzheimer’s disease
000281127 650_7 $$2Other$$adementia
000281127 650_7 $$2Other$$asleep
000281127 650_7 $$2Other$$asleep macro-architecture
000281127 650_2 $$2MeSH$$aHumans
000281127 650_2 $$2MeSH$$aDementia: epidemiology
000281127 650_2 $$2MeSH$$aFemale
000281127 650_2 $$2MeSH$$aMale
000281127 650_2 $$2MeSH$$aAged
000281127 650_2 $$2MeSH$$aPolysomnography
000281127 650_2 $$2MeSH$$aMiddle Aged
000281127 650_2 $$2MeSH$$aCohort Studies
000281127 650_2 $$2MeSH$$aRisk Factors
000281127 650_2 $$2MeSH$$aIncidence
000281127 650_2 $$2MeSH$$aSleep: physiology
000281127 650_2 $$2MeSH$$aSleep Stages: physiology
000281127 650_2 $$2MeSH$$aUnited States: epidemiology
000281127 7001_ $$aBaril, Andree-Ann$$b1
000281127 7001_ $$aWiedner, Crystal$$b2
000281127 7001_ $$aMisialek, Jeffrey R$$b3
000281127 7001_ $$00000-0003-1025-9430$$aKline, Christopher E$$b4
000281127 7001_ $$aHarrison, Stephanie$$b5
000281127 7001_ $$aCannon, Ethan$$b6
000281127 7001_ $$00000-0002-3658-1375$$aYang, Qiong$$b7
000281127 7001_ $$aBernal, Rebecca$$b8
000281127 7001_ $$aBisson, Alycia$$b9
000281127 7001_ $$aHimali, Dibya$$b10
000281127 7001_ $$aCavuoto, Marina$$b11
000281127 7001_ $$0P:(DE-2719)9002604$$aWeihs, Antoine$$b12
000281127 7001_ $$aBeiser, Alexa$$b13
000281127 7001_ $$aGottesman, Rebecca F$$b14
000281127 7001_ $$aLeng, Yue$$b15
000281127 7001_ $$aLopez, Oscar$$b16
000281127 7001_ $$00000-0002-1572-1340$$aLutsey, Pamela L$$b17
000281127 7001_ $$00000-0002-7402-5812$$aPurcell, Shaun M$$b18
000281127 7001_ $$00000-0002-6585-1610$$aRedline, Susan$$b19
000281127 7001_ $$aSeshadri, Sudha$$b20
000281127 7001_ $$aStone, Katie L$$b21
000281127 7001_ $$aYaffe, Kristine$$b22
000281127 7001_ $$00000-0002-0662-8865$$aAncoli-Israel, Sonia$$b23
000281127 7001_ $$00000-0002-8388-1178$$aXiao, Qian$$b24
000281127 7001_ $$aVaou, Eleni Okeanis$$b25
000281127 7001_ $$00000-0003-1391-9481$$aHimali, Jayandra J$$b26
000281127 7001_ $$aPase, Matthew P$$b27
000281127 773__ $$0PERI:(DE-600)2056761-3$$a10.1093/sleep/zsaf129$$gVol. 48, no. 9, p. zsaf129$$n9$$pzsaf129$$tSleep$$v48$$x0161-8105$$y2025
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086%20SUP.docx
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086.pdf$$yOpenAccess
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086%20SUP.doc
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086%20SUP.odt
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086%20SUP.pdf
000281127 8564_ $$uhttps://pub.dzne.de/record/281127/files/DZNE-2025-01086.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000281127 909CO $$ooai:pub.dzne.de:281127$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000281127 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)9002604$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b12$$kDZNE
000281127 9131_ $$0G:(DE-HGF)POF4-353$$1G:(DE-HGF)POF4-350$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lNeurodegenerative Diseases$$vClinical and Health Care Research$$x0
000281127 9141_ $$y2025
000281127 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2024-12-21
000281127 915__ $$0LIC:(DE-HGF)CCBYNC4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 4.0
000281127 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000281127 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2024-12-21
000281127 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2024-12-21$$wger
000281127 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-21
000281127 9201_ $$0I:(DE-2719)1510600$$kAG Hoffmann$$lTranslational Health Care Research$$x0
000281127 980__ $$ajournal
000281127 980__ $$aVDB
000281127 980__ $$aUNRESTRICTED
000281127 980__ $$aI:(DE-2719)1510600
000281127 9801_ $$aFullTexts