Evidence map›Paper›PMID 38603107›Full record

ArticleInternational journal of sports science & coaching2023

Lessons from the COVID-19 pandemic: Insights into effective training strategies for physical development in football.

Liam Anderson, Craig Flannigan, Paraskevas Polychronopoulos, Robbie MacKenzie, Barry Drust, Jordan Milsom

Abstract read
In one paragraph

Article in International journal of sports science & coaching, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Liam AndersonSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-3130-355X
Craig FlanniganPerformance Department, Rangers Football Club, Glasgow, UK.
Paraskevas PolychronopoulosPerformance Department, Rangers Football Club, Glasgow, UK.
Robbie MacKenziePerformance Department, Rangers Football Club, Glasgow, UK.
Barry DrustSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.
Jordan MilsomSports Science & Medicine Department, Aston Villa Football Club, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Professional soccer players typically perform regular training sessions and match play for most of the yearly macrocycle with limited time focused on solely developing physical development. The COVID-19 outbreak in 2020 caused mass disruption to professional soccer but provided an opportunity for an alternative approach to training in attempt to develop professional soccer players physical fitness levels. In a non-randomised and non-controlled study, we aimed to assess the effectiveness of a 13-week remote based physical training programme on physical fitness levels in elite professional soccer players. Twenty professional soccer players undertook body composition assessments, a countermovement jump (CMJ) test, eccentric hamstring strength test and a submaximal 30-15 intermittent fitness test (IFT) pre- and post-remote based training programme. Body mass (79.3 ± 6.7 vs. 80.0 ± 7.3 kg), skinfold thickness (54.1 ± 14.8 vs. 56.7 ± 15.2 mm), maximum CMJ height (38.4 ± 3.4 vs. 40.9 ± 4.1 cm), eccentric hamstring strength (1035 ± 158 vs. 1009 ± 140 n) and percentage max heart rate reached in submaximal 30-15 IFT (81.3 ± 5.2 vs. 82.3 ± 7.3%) were maintained (all

Indexed as

Anthropometryeccentric muscle actionhamstring strengthheart ratesoccer

Identifiers

PMID38603107
PMCPMC9014339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.