Evidence map›Paper›PMID 41957046›Full record

ArticleScientific data2026

REST, Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes.

Matthias Boeker, Andreas Alexandersen, Vajira Thambawita, Cise Midoglu, Dag Johansen, Michael A Riegler, Pål Halvorsen

Abstract readDataset
In one paragraph

Article in Scientific data, 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

7 authors.

Matthias Boeker *Simulamet, Oslo, Norway. matthias@simula.no.
Andreas Alexandersen *UiT The Arctic University of Norway, Tromsø, Norway.
Vajira ThambawitaSimulamet, Oslo, Norway.ORCID 0000-0001-6026-0929
Cise MidogluSimulamet, Oslo, Norway.ORCID 0000-0003-0991-4418
Dag JohansenSimulamet, Oslo, Norway.ORCID 0000-0001-7067-6477
Michael A RieglerSimulamet, Oslo, Norway.ORCID 0000-0002-3153-2064
Pål HalvorsenSimulamet, Oslo, Norway.ORCID 0000-0003-2073-7029

Funding

Universitetet i Tromsø (University of Tromsø) 19_FFC_SAP
6 · The paper itself

Abstract

This paper presents a novel dataset of 21 elite female football athletes comprising 17 days of actigraphy, well-being, caffeine consumption, screen time, and a daily hand strength test. This dataset aims to provide a comprehensive understanding of the interplay between lifestyle factors, sleep, and athletic performance. Sleep is a crucial process for physical and mental recovery, memory retention, and brain development. The quality of athletes' sleep is significantly impacted by factors such as rigorous training schedules, stress, light exposure, and caffeine consumption. By examining these factors in detail, this dataset can aid in the development of personalised training models that take into account each athlete's individual sleep patterns and recovery phases. Such an approach aims to optimise training and recovery strategies to improve athletes' overall performance and well-being.

Indexed as

AthletesAthletic PerformanceRestSleepSoccerCaffeineFemaleHumansCaffeine

Identifiers

PMID41957046
PMCPMC13066368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.