Evidence map›Paper›PMID 30092893›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018

The Epworth Sleepiness Scale: Validation of One-Dimensional Factor Structure in a Large Clinical Sample.

Brittany R Lapin, James F Bena, Harneet K Walia, Douglas E Moul

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
–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.

NCT06174558 unknown statusnot on this mapstarted 2024, after this paper: background citation

Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram

TypeobservationalSponsorRespiratory SpecialistsRan2024 to 2024Enrolled86ConditionsObstructive Sleep ApneaArmsSleep Tracking Devices
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effects of aerobic exercise and resistance training on obstructive sleep apnea: a systematic review and meta-analysis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Pooled it
  3. Measuring Subjective Sleep Quality: A Review.International journal of environmental research and public health · 2021
    Pooled it
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  7. The prevalence of insomnia disorder in inpatient psychiatric care.European archives of psychiatry and clinical neuroscience · 2026
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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

4 authors.

Brittany R LapinQuantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
James F BenaQuantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Harneet K WaliaCenter for Sleep Disorders, Cleveland Clinic, Cleveland, Ohio.
Douglas E MoulCenter for Sleep Disorders, Cleveland Clinic, Cleveland, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesThe Epworth Sleepiness Scale (ESS) is used by clinicians and researchers to determine level of daytime sleepiness. The number of factors included in the scale has been debated. Our study objective was to clarify the dimensionality of the ESS using a large clinical sample.

methodsA retrospective cohort study included all patients presenting for care in a tertiary care sleep disorders center who answered all items on the ESS from January 8, 2008 to September 28, 2012. Dimensionality was assessed using scree plot, eigenvalues, factor loadings, principal factor analysis, and confirmatory factor analysis. Multigroup confirmatory factor analysis (MGCFA) evaluated dimensionality within 10 subgroups of clinical interest.

resultsThe mean age of the 10,785 study participants was 50 (± 15) years with 49% female, and 81% white. The one-factor solution explained 63% of the variability in responses with high factor loadings (> .67 for all 8 items). The scree plot identified one factor with eigenvalue > 1. Results of confirmatory factor analysis demonstrated a one-factor solution had acceptable goodness of fit as assessed by root mean square error of approximation of .094 (90% confidence interval: .089-.099). MGCFA confirmed measurement invariance within all 10 demographic and clinical subgroups.

conclusionsOur study confirmed the unidimensionality of the ESS in a large diverse clinical population. Results from this study can be used to justify the interpretation of the ESS within clinical populations, and supports valid comparisons between groups based on the ESS. Future studies are warranted to further understand the items comprising the ESS and potentially eliminate redundant items for increased efficiency in clinical settings.

Indexed as

SleepinessCohort StudiesDisorders of Excessive SomnolenceFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsRetrospective StudiesSeverity of Illness IndexSurveys and QuestionnairesdimensionalityEpworth Sleepiness ScaleESSmultigroup confirmatory factor analysispatient-reported outcomessleepiness factor analysisunidimensional

Identifiers

PMID30092893
PMCPMC6086944

What OpenQuestion holds

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Registered trials

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.