Evidence map›Paper›PMID 42168121›Full record

ArticleEuropean journal of sport science2026

Sleep Characteristics and Menstrual Cycle Phase-Based Differences in Sleep in Naturally Menstruating Elite Female Team Sport Athletes.

Andrew McGeever, Niamh Mallon, Georgie Bruinvels, Charles R Pedlar, Rónán Doherty, Ken A van Someren

Abstract read
In one paragraph

Article in European journal of sport 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

6 authors.

Andrew McGeeverSchool of Health, Sport Science and Nutrition, Atlantic Technological University, Donegal, Ireland.ORCID https://orcid.org/0000-0003-3844-3248
Niamh MallonSchool of Health, Sport Science and Nutrition, Atlantic Technological University, Donegal, Ireland.
Georgie BruinvelsOrreco Ltd., Business Innovation Unit, University of Galway, Galway, Ireland.ORCID https://orcid.org/0000-0002-9352-7228
Charles R PedlarOrreco Ltd., Business Innovation Unit, University of Galway, Galway, Ireland.ORCID https://orcid.org/0000-0002-3075-9101
Rónán DohertySchool of Health, Sport Science and Nutrition, Atlantic Technological University, Donegal, Ireland.ORCID https://orcid.org/0000-0002-7808-1715
Ken A van SomerenSchool of Health, Sport Science and Nutrition, Atlantic Technological University, Donegal, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the sleep characteristics and menstrual cycle (MC) phase-based differences in the sleep of naturally menstruating female team sport athletes. Twelve Senior Intercounty Ladies Gaelic Football players (age = 24.2 ± 4.0 years) were recruited for the study. This study involved the prospective monitoring of participants for approximately 3 months, aiming to capture data for three full MCs. Participants were required to wear an Oura ring to objectively monitor sleep and physiological variables whilst also completing daily sleep diaries. Participants tracked their MC and cycle-related symptom prevalence using a smartphone application and estimated ovulation via urinary testing kits. A perception-reality gap was identified, with participants' objective sleep being 55 min less than their subjective sleep. Objective sleep quality measures fluctuated across the MC. Sleep efficiency decreased and wake after sleep onset and sleep onset latency increased in Phase 1 (menstruation), whereas wake events were significantly higher in Phase 4 (pre-menstrual). There were no significant differences in subjective sleep metrics across MC phases. The prevalence and perceived impact of cycle-related symptoms peaked in Phase 1 and Phase 4, aligning directly with the timing of objective sleep disruptions. Therefore, monitoring sleep and MC characteristics may be useful for female athletes to identify timepoints where sleep may be disrupted and help them to identify possible mitigation strategies should sleep disturbances occur.

Indexed as

AthletesMenstrual CycleSleepAdultFemaleGaelic FootballHumansProspective StudiesSleep DurationSleep QualityYoung Adult

Identifiers

PMID42168121
PMCPMC13238696

What OpenQuestion holds

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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.