Evidence map›Paper›PMID 38547171›Full record

Observational studyPloS one2024

An analysis of training load in highly trained female football players.

Andreas K Winther, Ivan Baptista, Sigurd Pedersen, João Brito, Morten B Randers, Dag Johansen, Svein Arne Pettersen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 at 4 institutions in 3 countries.

Andreas K WintherFaculty of Health Sciences, School of Sport Sciences, UiT the Arctic University of Norway, Tromsø, Norway.ORCID 0000-0001-5864-3445
Ivan BaptistaFaculty of Science and Technology, Department of Computer Science, UiT the Arctic University of Norway, Tromsø, Norway.
Sigurd PedersenFaculty of Health Sciences, School of Sport Sciences, UiT the Arctic University of Norway, Tromsø, Norway.
João BritoPortugal Football School, Portuguese Football Federation, Lisbon, Portugal.
Morten B RandersFaculty of Health Sciences, Department of Sports Science and Clinical Biomechanics, SDU Sport and Health Sciences Cluster, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-0192-8981
Dag JohansenFaculty of Science and Technology, Department of Computer Science, UiT the Arctic University of Norway, Tromsø, Norway.
Svein Arne PettersenFaculty of Health Sciences, School of Sport Sciences, UiT the Arctic University of Norway, Tromsø, Norway.ORCID 0000-0003-4700-0529
UiT The Arctic University of Norway · NOSport Lisboa e Benfica · PTUniversidade do Porto · PTUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This observational study aimed to analyze external training load in highly trained female football players, comparing starters and non-starters across various cycle lengths and training days.

methodExternal training load [duration, total distance [TD], high-speed running distance [HSRD], sprint distance [SpD], and acceleration- and deceleration distance [AccDecdist] from 100 female football players (22.3 ± 3.7 years of age) in the Norwegian premier division were collected over two seasons using STATSports APEX. This resulted in a final dataset totaling 10498 observations after multiple imputation of missing data. Microcycle length was categorized based on the number of days between matches (2 to 7 days apart), while training days were categorized relative to match day (MD, MD+1, MD+2, MD-5, MD-4, MD-3, MD-2, MD-1). Linear mixed modeling was used to assess differences between days, and starters vs. non-starters.

resultsIn longer cycle lengths (5-7 days between matches), the middle of the week (usually MD-4 or MD-3) consistently exhibited the highest external training load (~21-79% of MD TD, MD HSRD, MD SpD, and MD AccDecdist); though, with the exception of duration (~108-120% of MD duration), it remained lower than MD. External training load was lowest on MD+2 and MD-1 (~1-37% of MD TD, MD HSRD, MD SpD, MD AccDecdist, and ~73-88% of MD peak speed). Non-starters displayed higher loads (~137-400% of starter TD, HSRD, SpD, AccDecdist) on MD+2 in cycles with 3 to 7 days between matches, with non-significant differences (~76-116%) on other training days.

conclusionLoading patterns resemble a pyramid or skewed pyramid during longer cycle lengths (5-7 days), with higher training loads towards the middle compared to the start and the end of the cycle. Non-starters displayed slightly higher loads on MD+2, with no significant load differentiation from MD-5 onwards.

Indexed as

Athletic PerformanceRunningSoccerAccelerationFemaleHumansSeasons

Identifiers

PMID38547171
PMCPMC10977714
OpenAlexW4393253889

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.