Evidence map›Paper›PMID 39349384›Full record

ArticleJournal of sleep research2025

Validating the CogSleep Screener in older adults at a memory and cognition clinic.

Shawn Dexiao Kong, Zoe Menczel Schrire, Ping Hsiu Lin, Simone Simonetti, Nathan Cross, Loren Mowszowski, Catriona Ireland, Ivana Rosenzweig, Sharon L Naismith

Abstract readValidation Study
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Shawn Dexiao KongHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Zoe Menczel SchrireHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Ping Hsiu LinHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Simone SimonettiHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.ORCID 0000-0003-3464-9935
Nathan CrossHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Loren MowszowskiHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Catriona IrelandHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.
Ivana RosenzweigPlasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0003-2152-9694
Sharon L NaismithHealthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia.

Funding

National Health and Medical Research Council 1109618National Health and Medical Research Council 2008064National Health and Medical Research Council GNT1152945
6 · The paper itself

Abstract

While sleep disturbances are prevalent in older people and are linked with poor health and cognitive outcomes, screening for the range of sleep disturbances is inefficient and therefore not ideal nor routine in memory and cognition clinic settings. We aimed to develop and validate a new brief self-report questionnaire for easy use within memory and cognition clinics. The design for this study was cross-sectional. Older adults (aged ≥50 in Sydney, Australia) were recruited from a memory and cognition research clinic. Participants (N = 497, mean age 67.7 years, range 50-86, 65.0% female) completed a comprehensive medical, neuropsychological, and mental health assessment, alongside self-report instruments, including existing sleep questionnaires and a new 10-item sleep questionnaire, the CogSleep Screener. We examined the factor structure, convergent validity, internal consistency, and discriminant validity of this novel questionnaire. Using exploratory factor analysis, a 3-factor solution was generated highlighting the factors of Insomnia, Rapid Eye Movement (REM) Symptoms and Daytime Sleepiness. Each factor was significantly correlated with currently used sleep questionnaires for each subdomain (all Spearman rho >0.3, all p < 0.001), suggesting good convergent validity. Internal consistency was also good (Revelle's ω = .74). Receiver operating characteristic curves showed good discriminative ability between participants with and without sleep disturbances (all area under curve >0.7, all p < 0.01). The CogSleep Screener has good psychometric properties in older to elderly adults attending a memory and cognition clinic. The instrument has the potential to be used in memory clinics and other clinical settings to provide quick and accurate screening of sleep disturbances. [Correction added on April 2025, after first publication: The number of participants has been updated and associated statistics have been updated].

Indexed as

Sleep Initiation and Maintenance DisordersSleep Wake DisordersAgedAged, 80 and overAustraliaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsPsychometricsReproducibility of ResultsSelf ReportSurveys and Questionnairesmemory clinicmild cognitive impairmentolder adultspsychometricssleep disturbances

Identifiers

PMID39349384
PMCPMC12069752

What OpenQuestion holds

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LicenceCC BY
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.