Evidence map›Paper›PMID 40107293›Full record

ArticleArquivos de neuro-psiquiatria2025

Psychometric properties of the Epworth Sleepiness Scale in Brazilian medical students.

Renato Canevari Dutra da Silva, Anderson Garcez, Adriana Vieira Macedo Brugnoli, Marcos Pascoal Pattussi, Maria Teresa Anselmo Olinto

Abstract readValidation Study
In one paragraph

Article in Arquivos de neuro-psiquiatria, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Renato Canevari Dutra da SilvaUniversidade do Vale do Rio dos Sinos, Programa de Pós-Graduação em Saúde Coletiva, São Leopoldo RS, Brazil.ORCID 0000-0002-6428-2823
Anderson GarcezUniversidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Médicas: Endocrinologia, Porto Alegre RS, Brazil.ORCID 0000-0003-1111-4890
Adriana Vieira Macedo BrugnoliUniversidade do Vale do Rio dos Sinos, Programa de Pós-Graduação em Saúde Coletiva, São Leopoldo RS, Brazil.ORCID 0000-0002-7804-0331
Marcos Pascoal PattussiUniversidade do Vale do Rio dos Sinos, Programa de Pós-Graduação em Saúde Coletiva, São Leopoldo RS, Brazil.ORCID 0000-0003-2947-4229
Maria Teresa Anselmo OlintoUniversidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Ciências Médicas: Endocrinologia, Porto Alegre RS, Brazil.ORCID 0000-0002-3950-4594

Funding

CNPq 102282/2024-2Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq 303977/2022-1Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq 307175/2017-0
6 · The paper itself

Abstract

backgroundExcessive daytime sleepiness (EDS) refers to the propensity to become drowsy or fall asleep when the intention and expectation would be to stay awake, and the Epworth Sleepiness Scale (ESS) is an easy-to-apply instrument that can be used to assess the presence of EDS.

objectiveTo evaluate the psychometric properties of the ESS, including its construct validity and internal consistency, in a population of university students.

methodsTwo samples of 400 students from the medicine program of a university located in the Midwest of Brazil were randomly selected from a cross-sectional academic study conducted in 2018. Construct validity was examined through exploratory and confirmatory factor analysis of the eight items of the ESS, and the internal consistency was evaluated using the Cronbach's α coefficient (α).

resultsIt was found that factor analyses revealed better adjustment measures when considering the ESS to be two-dimensional, grouped into two main factors: the first factor referring to the evaluation of sleepiness at rest, and the second referring to drowsiness in activity (standardized root mean square residual [SRMR] = 0.053; root mean square error of approximation [RMSEA] = 0.095; Comparative Fit Index [CFI] = 0.937; and Tucker-Lewis Index [TLI] = 0.908;

conclusionThe present study showed general psychometric properties adequate for the ESS in medical students, including an acceptable construct validity and internal consistency. Thus, the ESS may be suitable to assess EDS in university students, especially medical students.

Indexed as

Disorders of Excessive SomnolenceStudents, MedicalAdultBrazilCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung Adult

Identifiers

PMID40107293
PMCPMC11922618

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