Evidence map›Paper›PMID 40293956›Full record

SynthesisThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Effect of Excessive Daytime Sleepiness and Long Sleep Duration on All Cause Dementia: A Systematic Review and Meta-analysis.

Kay Khaing, Xenia Dolja-Gore, Joshua Dizon, Xinying Fang, Zizhong Tian, Chenqi Fu, Daniel Barker, Shouhao Zhou, Balakrishnan R Nair, Julie Byles and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Cognition and psychomotor vigilance in treated sleep apnea patients with and without daytime sleepiness: the MAGNETO study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kay KhaingUniversity of Newcastle, New Lambton Heights, New South Wales, Australia.ORCID 0000-0003-4169-9711
Xenia Dolja-GoreUniversity of Newcastle, Hunter Medical Research Institute Building, Kookaburra Circuit, John Hunter Hospital Campus, New Lambton, New South Wales, Australia.
Joshua DizonHunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Xinying FangDepartment of Public Health Sciences, Pennsylvania State University, Hershey, Pennsylvania, USA.
Zizhong TianDepartment of Public Health Sciences, Pennsylvania State University, Hershey, Pennsylvania, USA.
Chenqi FuDepartment of Public Health Sciences, Pennsylvania State University, Hershey, Pennsylvania, USA.
Daniel BarkerHunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Shouhao ZhouDepartment of Public Health Sciences, Pennsylvania State University, Hershey, Pennsylvania, USA.
Balakrishnan R NairUniversity of Newcastle, The Lodge, John Hunter Hospital Campus, New Lambton Heights, New South Wales, Australia.
Julie BylesUniversity of Newcastle, Hunter Medical Research Institute Building, Kookaburra Circuit, John Hunter Hospital Campus, New Lambton, New South Wales, Australia.
John AttiaUniversity of Newcastle, Hunter Medical Research Institute Building, Kookaburra Circuit, John Hunter Hospital Campus, New Lambton, New South Wales, Australia.ORCID 0000-0001-9800-1308

Funding

Meta-analysis of Adverse Drug Effects in Clinical TrialsR21LM014534 · NLM · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI PETERSON, CHRISTINE B, ZHOU, SHOUHAO · 2024 to 2025
$432k
NLM NIH HHS R21 LM014534
6 · The paper itself

Abstract

backgroundExcessive daytime sleepiness (EDS) and long sleep duration are common in older adults and are related to dementia pathology. This study aims to assess the effect of EDS and long sleep duration on all-cause dementia and cognitive decline.

methodsWe identified longitudinal studies assessing the relationship between EDS and/or long sleep duration on cognitive decline/dementia published up to March 24, 2024 from MEDLINE, Embase, PsyINFO, the Cochrane Central Register of Controlled Trials, and PubMed. The inverse-variance-weighted average method and Bayesian multilevel regression models were used to test the effect of EDS and long sleep duration on cognitive decline and dementia risk.

resultsFifteen studies with 65 501 participants were recruited. Excessive daytime sleepiness was associated with increased risk of cognitive decline and all-cause dementia (risk ratio 1.26, 95% confidence interval [CI]: 1.13-1.41, and risk ratio 1.68, 95% CI: 1.07-2.66, respectively). Long sleep duration increased the risk of all-cause dementia by 29% (95% hazard ratio CI: 0.94-1.77, Pr [hazard ratio > 1] = 0.94); and cognitive decline by 13% (95% risk ratio, CI: 0.92-1.4). Dementia-free time at age 85 was 0.13 years shorter among long sleepers (Pr (∆ Restricted Mean Dementia-Free Time < 0) = 0.98).

conclusionsBoth EDS and long sleep duration were associated with increased risk of all-cause dementia. However, it remains unclear whether these are independent risk factors or merely reflect the same underlying pathological process. Further studies are needed to explore the interaction between these exposures on dementia and their potential as targets for dementia prevention.

Indexed as

Cognitive DysfunctionDementiaDisorders of Excessive SomnolenceSleepAgedHumansRisk FactorsSleep DurationTime FactorsCognitionDaytime sleepinessDementiaSleep hours

Identifiers

PMID40293956
PMCPMC12199367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.