Evidence map›Paper›PMID 41984337›Full record

ArticleSports medicine - open2026

Sleep Behaviour and Subjective Sleep Quality in Esports Athletes: A Multilevel Analysis of Night-to-Night Variability.

Andrew Kidcaff, Mitchell Nicholson, Tristan J Coulter, Craig McNulty, Remco Polman

Abstract read
In one paragraph

Article in Sports medicine - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

5 authors.

Andrew KidcaffFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Victoria Park Road, Kelvin Grove, Brisbane, QLD, 4059, Australia. a.kidcaff@qut.edu.au.ORCID http://orcid.org/0000-0003-4803-8609
Mitchell NicholsonPhysical Activity, Sport, and Exercise Research Theme, Faculty of Health, Southern Cross, Coffs Harbour, Australia.ORCID http://orcid.org/0000-0001-5058-0435
Tristan J CoulterFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Victoria Park Road, Kelvin Grove, Brisbane, QLD, 4059, Australia.ORCID http://orcid.org/0000-0002-4085-7645
Craig McNultyPhysical Activity, Sport, and Exercise Research Theme, Faculty of Health, Southern Cross, Coffs Harbour, Australia.ORCID http://orcid.org/0000-0002-8805-5801
Remco PolmanFaculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Victoria Park Road, Kelvin Grove, Brisbane, QLD, 4059, Australia.ORCID http://orcid.org/0000-0003-2951-0904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsports training is typically self-directed and frequently scheduled late in the day, which may disrupt habitual sleep-wake patterns and contribute to poor sleep outcomes. Although previous esports research has identified delayed sleep timing and reduced sleep duration at the group level, less is known about how night-to-night fluctuations in sleep behaviour and stable individual characteristics jointly influence perceived sleep quality. Examining both intra-individual and inter-individual determinants may provide a more nuanced understanding of sleep health in esports athletes.

methodsTwenty-four esports athletes (male: n = 16, age M = 20.13 ± 2.42 years; female: n = 8, age M = 25.13 ± 4.02 years; range 18-33) from Brisbane, Australia, completed the study between October 2023 and March 2024. The protocol comprised baseline questionnaires assessing sleep hygiene, habitual sleep quality, chronotype, and daytime sleepiness, followed by approximately seven consecutive nights of wrist-worn actigraphy and daily sleep diaries (187 valid nights). Subjective sleep quality was rated each morning on a 5-point scale. Multilevel modelling was used to examine within-person associations between nightly deviations in sleep duration and bed/wake times, as well as the timing of esports gameplay relative to bedtime (no gameplay, < 1 h, 1-2 h, > 2 h). Between-person predictors included sleep hygiene, habitual sleep timing and duration, and age.

resultsParticipants averaged approximately 6 h 42 min (± 51 min) of sleep per night and reported moderate subjective sleep quality. The intraclass correlation coefficient indicated that 20% of the variance in sleep quality was attributable to between-person differences, with the remaining 80% reflecting within-person variability. At the nightly level, longer-than-average sleep duration was associated with higher perceived sleep quality, whereas nightly bed and wake times were not significant predictors. Nights in which gameplay ended 1-2 h before bedtime were associated with poorer sleep quality compared with nights without gameplay. At the between-person level, poorer sleep hygiene was associated with lower sleep quality, whereas later habitual bedtimes were associated with higher sleep quality ratings across the monitoring period.

conclusionsSubjective sleep quality in esports athletes is shaped by both nightly variability in sleep duration and stable behavioural characteristics. These findings highlight the importance of sleep regularity, behavioural routines, and training schedules in esports, and support the use of multilevel approaches to capture dynamic sleep processes in performance-based gaming contexts.

Indexed as

Circadian rhythmEsportsSleep hygieneSleep qualityVideo games

Identifiers

PMID41984337
PMCPMC13083558

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.