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@ARTICLE{Yiallourou:281127,
author = {Yiallourou, Stephanie and Baril, Andree-Ann and Wiedner,
Crystal and Misialek, Jeffrey R and Kline, Christopher E and
Harrison, Stephanie and Cannon, Ethan and Yang, Qiong and
Bernal, Rebecca and Bisson, Alycia and Himali, Dibya and
Cavuoto, Marina and Weihs, Antoine and Beiser, Alexa and
Gottesman, Rebecca F and Leng, Yue and Lopez, Oscar and
Lutsey, Pamela L and Purcell, Shaun M and Redline, Susan and
Seshadri, Sudha and Stone, Katie L and Yaffe, Kristine and
Ancoli-Israel, Sonia and Xiao, Qian and Vaou, Eleni Okeanis
and Himali, Jayandra J and Pase, Matthew P},
title = {{S}leep architecture and dementia risk in adults: an
analysis of 5 cohorts from the {S}leep and {D}ementia
{C}onsortium.},
journal = {Sleep},
volume = {48},
number = {9},
issn = {0161-8105},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {DZNE-2025-01086},
pages = {zsaf129},
year = {2025},
abstract = {Poor 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.},
keywords = {Humans / Dementia: epidemiology / Female / Male / Aged /
Polysomnography / Middle Aged / Cohort Studies / Risk
Factors / Incidence / Sleep: physiology / Sleep Stages:
physiology / United States: epidemiology / Alzheimer’s
disease (Other) / dementia (Other) / sleep (Other) / sleep
macro-architecture (Other)},
cin = {AG Hoffmann},
ddc = {610},
cid = {I:(DE-2719)1510600},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:40377976},
pmc = {pmc:PMC12417016},
doi = {10.1093/sleep/zsaf129},
url = {https://pub.dzne.de/record/281127},
}