Evidence map›Paper›PMID 41797825›Full record

ArticleInternational journal of exercise science2026

Relationships Between Training Load, Perceived Cognitive Load and Sleep in Student-Athletes.

Amélie Apinis-Deshaies, Maxime Trempe, Jonathan Tremblay

Abstract read
In one paragraph

Article in International journal of exercise science, 2026. 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

3 authors.

Amélie Apinis-DeshaiesSchool of Kinesiology and Exercise Science, University of Montreal, Montreal, Qc, Canada.
Maxime TrempeSport Studies, Bishop's University, Sherbrooke, Qc, Canada.
Jonathan TremblaySchool of Kinesiology and Exercise Science, University of Montreal, Montreal, Qc, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep is particularly important for student-athletes in the pursuit of both academic success and athletic performance. The primary aim of this study was to investigate the relationship between training load (TL), perceived cognitive workload, and sleep in varsity male volleyball athletes. The secondary aim was to understand the physiological and cognitive mechanisms leading to sleep disturbances following a match. Twelve varsity players on a men's university volleyball team were examined for 12 weeks of the competitive season. Sleep, internal TL and cognitive load were assessed using daily surveys. External TL was assessed using wearable jump monitors during training and matches. Participants filled the Pre-Sleep Arousal Scale to assess pre-sleep arousal and the Ottawa Mental Skills Assessment Tool to assess mental skills after eight matches. Our results show that the perceived cognitive load had a negative impact on total sleep time (p = 0.003) and sleep quality (p = 0.048). Moreover, internal TL had detrimental effects on sleep quality (p = 0.04). We also observed a negative association between cognitive pre-sleep arousal and sleep efficiency (p = 0.004). and sleep onset latency (p = 0.03). Finally, no effect was found between mental skills and post-match sleep. Our results suggest that assessing perceived cognitive workload is essential when monitoring student-athletes. Moreover, higher sleep onset latency and lower sleep efficiency were associated with elevated levels of cognitive arousal supporting the idea that post-match sleep difficulties are due to cognitive arousal rather than physiological arousal.

Indexed as

ArousalcompetitionRPEsportsvolleyball

Identifiers

PMID41797825
PMCPMC12965797

What OpenQuestion holds

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LicenceCC BY-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.