Evidence map›Paper›PMID 30417544›Full record

ArticleJournal of sleep research2019

Sleep efficiency and neurophysiological patterns in middle-aged men are associated with cognitive change over their adult life course.

Markus Waser, Martin J Lauritzen, Birgitte Fagerlund, Merete Osler, Erik L Mortensen, Helge B D Sørensen, Poul Jennum

Abstract read
In one paragraph

Article in Journal of sleep research, 2019. 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. Article
  3. Article
  4. The association between sleep microarchitecture and cognitive function in middle-aged and older men: a community-based cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    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

7 authors.

Markus WaserBiomedical Engineering, Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark.ORCID 0000-0002-8964-4675
Martin J LauritzenCenter for Healthy Aging and Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark.
Birgitte FagerlundClinical Intervention and Neuropsychiatric Schizophrenia Research/Center for Neuropsychiatric Schizophrenia Research, Psychiatric Center Glostrup, Glostrup, Denmark.
Merete OslerCenter for Clinical Research and Prevention, Frederiksberg Hospital, Frederiksberg, Denmark.
Erik L MortensenCenter for Healthy Aging and Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark.
Helge B D SørensenBiomedical Engineering, Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark.
Poul JennumDanish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet Glostrup, Glostrup, Denmark.

Funding

Austrian Science Fund FWF J 3766
6 · The paper itself

Abstract

Disrupted sleep is a contributing factor to cognitive ageing, while also being associated with neurodegenerative disorders. Little is known, however, about the relation of sleep and the gradual cognitive changes over the adult life course. Sleep electroencephalogram (EEG) patterns are potential markers of the cognitive progress. To test this hypothesis, we assessed sleep architecture and EEG of 167 men born in the Copenhagen Metropolitan Area in 1953, who, based on individual cognitive testing from early (~18 years) to late adulthood (~58 years), were divided into 85 subjects with negative and 82 with positive cognitive change over their adult life. Participants underwent standard polysomnography, including manual sleep scoring at age ~58 years. Features of sleep macrostructure were combined with a number of EEG features to distinguish between the two groups. EEG rhythmicity was assessed by spectral power analysis in frontal, central and occipital sites. Functional connectivity was measured by inter-hemispheric EEG coherence. Group differences were assessed by analysis of covariance (p < 0.05), including education and severity of depression as potential covariates. Subjects with cognitive decline exhibited lower sleep efficiency, reduced inter-hemispheric connectivity during rapid eye movement (REM) sleep, and slower EEG rhythms during stage 2 non-REM sleep. Individually, none of these tendencies remained significant after multiple test correction; however, by combining them in a machine learning approach, the groups were separated with 72% accuracy (75% sensitivity, 67% specificity). Ongoing medical screenings are required to confirm the potential of sleep efficiency and sleep EEG patterns as signs of individual cognitive progress.

Indexed as

AdolescentAdultCognitive DysfunctionHumansMaleMiddle AgedPolysomnographySleep, REMSleep Wake DisordersYoung Adultcognitive ageingelectroencephalogramfunctional connectivityneurodegenerationsleep efficiency

Identifiers

PMID30417544
PMCPMC6383751

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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.