Evidence map›Paper›PMID 40182733›Full record

ArticleBiology of sport2025

Load distribution across weekly microcycles according to match schedule in a team competing in the Australian national A-League Women's soccer competition.

Aaron T Scanlan, Dean Miller, Mia Lundquist, Nathan Elsworthy, Michele Lastella

Abstract read
In one paragraph

Article in Biology of sport, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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.

Aaron T ScanlanSchool of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
Dean MillerAppleton Institute for Behavioural Science, Central Queensland University, Adelaide, South Australia, Australia.
Mia LundquistAdelaide United Football Club, Adelaide, South Australia, Australia.
Nathan ElsworthySchool of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
Michele LastellaAppleton Institute for Behavioural Science, Central Queensland University, Adelaide, South Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This observational, longitudinal study compared daily loads experienced in the weekly microcycle for different match schedules among an A-League Women's professional soccer team. Monitoring data were retrospectively accessed from a team (n = 22) competing in the Australian National A-League Women's soccer competition across the 2022-2023 in-season. Internal (session-rating of perceived exertion [session-RPE] and session-RPE load) and external load (total and relative values for total and high-speed running distance) data were acquired from 54 field-based training sessions and 17 matches across a 20-week period. Weeks were categorized according to schedule as: single-match week played on Saturday; single-match week played on Sunday; condensed week (6 days since the previous match); or double-header week (two matches in the same week). Sessions during each week were classified according to the day on which they were conducted prior to match day (MD) as MD-1, MD-2, MD-3, MD-4, MD-5, or MD-6. Linear mixed effects models and Hedge's g

Indexed as

FootballGlobal positioningMicrosensorPeriodizationWomenWorkload

Identifiers

PMID40182733
PMCPMC11963116

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.