Cited by 150Sleep and related disordersSleep and Work-Related FatigueHealthcare professionals’ stress and burnout

Sleep disruption in medicine students and its relationship with impaired academic performance: A systematic review and meta-analysis.

Open access
Seoane, Hernan A., Moschetto, Leandra, Orliacq, Francisco, Orliacq, Josefina, Serrano, Ezequiel, Cazenave, María Inés, Vigo, Daniel E., Perez-Lloret, Santiago·2020·Sleep Medicine Reviews

Abstract

Sleep disruption severely impairs learning ability, affecting academic performance in students. This systematic review and meta-analysis aimed at assessing the prevalence of sleep disruption in medical students and its relationship with academic performance. PubMed, Web of Sciences, EBSCO and SciELO databases searches allowed to retrieve 41 papers with data about the prevalence of sleep deprivation, 20 of which also contained data on its association with academic performance. Poor sleep quality was reported by 5646 out of 14,170 students in 29 studies (39.8%, 95% confidence interval = 39.0-40.6%), insufficient sleep duration by 3762/12,906 students in 28 studies (29.1%, 23.3-29.9%) and excessive diurnal sleepiness by 1324/3688 students in 13 studies (35.9%, 34.3-37.4). Academic grades correlated significantly with sleep quality scores (r, 95% CI = 0.15, 0.05-0.26, random-effects model; p = 0.002, n = 10,420 subjects, k = 15 studies) and diurnal sleepiness (r = -0.12, -0.19/-0.06 under the fixed effects model, p < 0.001, n = 1539, k = 6), but not with sleep duration (r = 0.03, -0.12/0.17 under the random-effects model, p = 0.132, n = 2469, k = 9). These findings advocate for an urgent intervention aiming at improving sleep quality among medical students as a way of increasing academic achievements and, ultimately, the quality of health care.

AI snapshot

Written from the paper’s full text.

TL;DR

This systematic review and meta-analysis of medical students found that poor sleep quality, short sleep duration, and daytime sleepiness were common, and that worse sleep quality and greater sleepiness—but not shorter sleep—were associated with lower academic performance. The authors recommend routine sleep assessment and sleep-hygiene education for medical students.

Key findings

  • Pooled prevalence estimates were 39.8% for poor sleep quality (5,646/14,170; 95% CI 39.0–40.6%; k=28), 29.1% for insufficient sleep duration (3,762/12,906; 95% CI 28.3–29.9%; k=21), and 35.9% for excessive daytime sleepiness (1,324/3,688; 95% CI 34.3–37.4%; k=13).
  • Better sleep quality correlated with better academic performance: r=0.15 (95% CI 0.05–0.26; p=0.002; 15 studies; n=10,420), with significant heterogeneity (I²=90.23%).
  • Sleep duration was not significantly related to academic performance: r=0.03 (95% CI −0.12–0.17; p=0.67; 9 studies; n=2,469).
  • Greater daytime sleepiness was associated with worse academic performance: r=−0.12 (95% CI −0.19 to −0.06; p<0.001; 6 studies; n=1,539). Subgroup analyses found stronger sleep-quality correlations in the Middle East and Asia/Oceania, in studies from 2012 or later, and where women made up more than half the sample; sleep-duration correlations were stronger in studies with fewer than 150 students.

Methods

  • Systematic review and meta-analysis following PRISMA, registered as PROSPERO CRD42019127734; searches covered PubMed, Web of Sciences, EBSCO, and SciELO from 1980 to 2018, plus reference-list checks, in English, Spanish, French, or Portuguese.
  • Inclusion required medical students or mixed medical/related-career samples, at least one subjective or objective sleep measure covering more than one night, and academic performance data; 2,332 records were initially retrieved plus 21 from secondary searches, yielding 41 studies for prevalence and 20 for performance associations.
  • All included studies were cross-sectional. Effect sizes were Pearson correlations between sleep measures and academic performance, transformed to Fisher’s z, pooled with fixed- or random-effects models using Meta-Essentials; heterogeneity was assessed with Q and I², and publication bias with funnel plots and Egger regression.

Limitations

  • Stated by the authors: female medical students may have been overrepresented; heterogeneity was significant for sleep quality and sleep duration relationships; no study used objective sleep measures; performance and sleep assessments were not standardized; demographic and comorbidity data were insufficient for moderator analyses; organic sleep disorders were not assessed; and a stronger sleep-duration correlation in small studies suggested possible publication bias.
  • Evident from the text: because every included study was cross-sectional, the analyses cannot establish whether sleep disruption causes worse academic performance or vice versa.
  • Evident from the text: reliance on self-reported sleep measures and varied definitions of academic performance limits comparability across studies and may contribute to the high heterogeneity observed.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.smrv.2020.101333

Cites

80 of 80 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

4 of 8 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

  • Interpretationown data

    The prevalence of sleep disruption observed in medical students is higher than in the general population.

    “The prevalence herein observed is higher than in the general population, which was 16.6% in Asia and Africa prevalence, 62 20% in Canada and the US, 63,64 22.7% in Latin America, 65 23% in Japan, and 31% in Western Europe.66”
    Quote in the paperNot a substantial claim2 of 4 sources checked
    • cites [62] Stranges, 2012, Sleep problems: an emerging global epidemic? Findings from the INDEPTH WHO-SAGE study among more than 40,000 older adults from 8 countries across Africa and Asia, Sleep source

      The Results report that 16.6% of participants had nocturnal sleep problems. However, the study sampled adults aged 50–106 at eight sites in Africa and Asia, not the general population across those continents. It does not compare that prevalence with medical students. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites [63] Hossain, 2002, The prevalence, cost implications, and management of sleep disorders: an overview, Sleep Breath source
    • cites [64] Sutton, 2001, Insomnia and health problems in Canadians, Sleep source
    • cites [65] Blanco, 2003, Attitudes towards treatment among patients suffering from sleep disorders. A Latin American survey, BMC Fam Pract source

      The Background (page unavailable) reports that sleep disturbances affect 25–45% of outpatients visiting primary care centers, but does not give the cited 22.7% prevalence for the Latin American general population. The Methods (page unavailable) say the survey selected fixed numbers of sufferers and non-sufferers, so its sample cannot establish that prevalence. The comparison with medical students is the citing authors’ framing, not a finding attributed to this source. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Findingown data

    Twenty studies were used for the study of the association between sleep disruption and academic performance.

    “Forty-one studies met all criteria and were selected for calculating the prevalence of sleep disruption , while 20 could also be used for the study of its association with academic performance 22, 23, 25-27, 30, 32-35, 38, 43, 44, 51, 53, 56-60 .”
    Quote in the paperSubstantial claim
  • Findingown data

    Mean PSQI total score was 5.1±2.7 points (k=13).

    “As can be observed in Table 3, mean ± SD of the PSQI total scores was 5.1±2.7 points (k= 13 studies)”
    Quote in the paperNot a substantial claim
  • Findingown data

    The prevalence of excessive daytime sleepiness was 35.9% (1,324/3,688; 95% CI 34.3 to 37.4; k=13).

    “while the prevalence of excessive daytime sleepiness was 1,324/3,688 students= 35.9%, 95%CI= 34.3 to 37.4 (k=13).”
    Quote in the paperNot a substantial claim
  • Findingown data

    The prevalence of insufficient sleep duration was 29.1% (3762/12,906; 95% CI 28.3 to 29.9%; k=21).

    “the prevalence of insufficient sleep duration was 3762 students / 12,906= 29.1%, 95%CI=28.3to 29.9% (k=21).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. 9
  • May combine two claims. 4
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    This systematic review and meta-analysis followed the PRISMA guidelines.

    “This systematic review and meta-analysis followed the PRISMA guidelines.17”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [17] Moher, 2009, Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement, J Clin Epidemiol source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Medical students are more affected by sleep disturbances than students of other careers.

    “It has been observed that medical students are more affected than students of other careers.15,16”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites [15] Li, 2018, Prevalence of sleep disturbances in Chinese university students: a comprehensive meta-analysis, J Sleep Res source
    • cites [16] Azad, 2015, Sleep disturbances among medical students: a global perspective, J Clin Sleep Med source
  • May combine two claims.

    Findingown data

    Sequential exclusion sensitivity analysis showed results remained unchanged, indicating no individual study significantly influenced the overall results.

    “A sensitivity analysis was conducted for each correlational analysis, by sequentially excluding each study from the dataset and recalculating the overall combined correlation coefficient.Results remained unchanged, which indicates that no individual study significantly influenced the overall results.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Poor sleep quality and excessive diurnal somnolence, but not insufficient sleep duration, were significantly associated with worse academic performance.

    “Poor sleep quality and excessive diurnal somnolence, but not insufficient sleep duration, were significantly associated with worse academic performance.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Egger regression models were not significant for sleep quality, sleep duration, and daytime sleepiness, indicating no correlation between correlation coefficients and their standard errors.

    “Furthermore, Eggert regression models were not significant, indicating no correlation between correlation coefficients and their standard errors (sleep quality: t= 0.08, p= 0.94; sleep duration: t= 1.89, p= 0.10; daytime sleepiness: t=0.53, p=0.63).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The study was registered in PROSPERO with registration number CRD42019127734.

    “PROSPERO registration number is CRD42019127734.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Funnel plots and Egger regression were used to evaluate publication bias.

    “Funnel plots and Egger regression were used to evaluate publication bias.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Agreement between reviewers was close to 100% and discrepancies were solved by a third reviewer.

    “In all cases, agreement was close to 100% and discrepancies were solved by a third reviewer.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Data extraction was performed by two independent coders.

    “Data extraction from articles selected in the second stage was performed by two independent coders randomly selected from a list (LM, FO, JO, ES, MIC, SPLL).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Two independent reviewers screened titles and abstracts and selected studies.

    “Two independent reviewers randomly selected from a list (HS, LM, FO, JO, ES, MIC, SPLL) screened the titles and abstracts and selected those that contained references to sleep characteristics in medical students, and were written in English, Spanish, French, or Portuguese.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationown data

    The finding of a significantly stronger correlation between sleep duration and academic performance in studies with sample sizes <150 students could suggest publication bias.

    “Notwithstanding, the findings of a significantly stronger correlation coefficient between sleep duration and academic performance in studies with sample sizes <150 students could be suggesting publication bias.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    All studies included in the review were cross-sectional.

    “All studies were cross-sectional.”
    Quote in the paperNot a substantial claim
12 of 12

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Prior work relied on cross-sectional, retrospective self-report assessments of TST to assess the relationship between TST and GPA in college student samples.

    “While researchers have long suspected that sleep may play a key role in academic success, prior work has relied on cross-sectional, retrospective self-report assessments of TST to assess the relationship between TST and GPA in college student samples (11, 12, 21).”

    From Nightly sleep duration predicts grade point average in the first year of college (2023) · cites this paper as [21]

    The Results report that all included studies were cross-sectional, that sleep duration was assessed with the PSQI or custom questionnaires, and that nine studies examined its relationship with academic performance. Table 1 lists GPA as an academic-performance measure in several studies. The review focuses predominantly on medical students and does not establish that every assessment was retrospective, so it does not fully support the broader description of prior work in college-student samples. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Medeiros study year differs by a decade

    Minor

    The tables label study 43 as 2013, but reference 43 gives its publication year as 2003.

  • Correa is listed as an academic-performance study despite a blank outcome entry

    Minor

    The results include study 30 among those used to examine academic performance, but Table 1 records no academic-performance assessment for that study.

  • Albhlal study has conflicting country labels

    Minor

    Table 1 places study 24 in India, whereas its cited title identifies Saudi Arabia.

3 of 3

Cites

Flagged first, then by citations

2 of the 82 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Escobar-Córdoba, 2011, Somnolencia durna excesiva en estudiantes de noveno semestre de medicina de la Universidad Nacional de Colombia, Rev Fac Med, 59, 191
  2. Pérez-Olmos, 2006, Ritmos circadianos de sueño y rendimiento académico en estudiantes de medicina, Rev Cien Salud, 4, 147
  3. Priya, 2017, Study of the factors associated with poor sleep among medical students, IJBAMR, 6, 422

Cited by

Sorted by citations

Authors
Seoane, H. A., Moschetto, L., Orliacq, F., Orliacq, J., Serrano, E., Cazenave, M. I., Vigo, D. E., & Perez-Lloret, S.
Affiliations
  • Pontificia Universidad Católica Argentina (AR)
  • Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
Venue
Sleep Medicine Reviews
Publisher
Elsevier BV
Published
2020-10
Volume
53
Pages
101333
ISSN
1087-0792 (ISSN-L)
OpenAlex
W3024810966
Cited by
150
References
82
Citations by year
2026: 30 · 2025: 30 · 2024: 36 · 2023: 25 · 2022: 19 · 2021: 6 · 2020: 4
FWCI
1.97
Type
journal article
Language
en
Open access
Locations
  • Sleep Medicine Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
  • Americanae (AECID Library) (submittedVersion, cc-by-nc-sa)
  • Lirias (submittedVersion)
  • Conicet (submittedVersion, cc-by-nc-sa)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
Keywords
sleep disruption, medical students, academic performance, sleep deprivation, sleep quality, insufficient sleep duration, excessive daytime sleepiness, learning ability, sleep interventions
MeSH terms
Academic Success, Humans, Disorders of Excessive Somnolence, Sleep Deprivation, Students, Medical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review