Evidence map›Paper›PMID 39070409›Full record

ArticleCureus2024

Measuring Sleep Quality Among Medical Students Using the Epworth Sleepiness Scale.

Arjun Sharma, Joaquin Austerlitz, Fabian Najjar, James McDermott, Jacob Matalon, Madhu Varma

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Arjun SharmaSchool of Medicine, California University of Science and Medicine, Colton, USA.
Joaquin AusterlitzSchool of Medicine, California University of Science and Medicine, Colton, USA.
Fabian NajjarSchool of Medicine, California University of Science and Medicine, Colton, USA.
James McDermottSchool of Medicine, California University of Science and Medicine, Colton, USA.
Jacob MatalonSchool of Medicine, California University of Science and Medicine, Colton, USA.
Madhu VarmaSchool of Medicine, California University of Science and Medicine, Colton, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction While existing literature establishes the positive impact of sleep on test performance among medical students and its correlation with better outcomes among physicians, there is a notable gap in the quantitative understanding of how the transition from preclinical to clinical training affects sleep quality. Methods Our survey was sent to all medical students attending the California University of Science and Medicine between April 2023 and January 2024. The relative risks for having an Epworth sleepiness scale (ESS) greater than 10 were calculated and compared for various subgroups in our sample. Univariate logistic regression analysis was also carried out to assess the effect of covariates on our primary outcome. Results In total, our sample consisted of 124 medical students. Only 11.3% (n=14) were somewhat dissatisfied or very dissatisfied with their medical school experience. The relative risk of having an ESS > 10 when on clinical rotations was 2.06 (95% CI: 1.22-3.49). Conclusion This study demonstrates that the risk of medical students experiencing excessive sleepiness, defined by an ESS > 10, doubles when students are on clinical rotations. Despite being limited by information bias and a smaller sample size, this study provides interesting pilot data on the quantitative examination of sleepiness among medical students and may be used to guide areas for future work.

Indexed as

epworth sleepiness scale (ess)medical studentsmedical trainingsleep medicinesleep quality

Identifiers

PMID39070409
PMCPMC11283370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.