Evidence map›Paper›PMID 31009464›Full record

ArticlePloS one2019

In-season internal and external training load quantification of an elite European soccer team.

Rafael Oliveira, João P Brito, Alexandre Martins, Bruno Mendes, Daniel A Marinho, Ricardo Ferraz, Mário C Marques

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
–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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Monitoring Accumulated Training and Match Load in Football: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Load Measures in Training/Match Monitoring in Soccer: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Rafael OliveiraSports Science School of Rio Maior-Polytechnic Institute of Santarém, Rio Maior, Portugal.ORCID 0000-0001-6671-6229
João P BritoSports Science School of Rio Maior-Polytechnic Institute of Santarém, Rio Maior, Portugal.
Alexandre MartinsSports Science School of Rio Maior-Polytechnic Institute of Santarém, Rio Maior, Portugal.ORCID 0000-0003-1524-5601
Bruno MendesFaculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
Daniel A MarinhoResearch Centre in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Ricardo FerrazResearch Centre in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal.
Mário C MarquesResearch Centre in Sport Sciences, Health Sciences and Human Development, Vila Real, Portugal.

Funding

Howard Hughes Medical InstituteWellcome Trust
6 · The paper itself

Abstract

Elite soccer teams that participate in European competitions need to have players in the best physical and psychological status possible to play matches. As a consequence of congestive schedule, controlling the training load (TL) and thus the level of effort and fatigue of players to reach higher performances during the matches is therefore critical. Therefore, the aim of the current study was to provide the first report of seasonal internal and external training load that included Hooper Index (HI) scores in elite soccer players during an in-season period. Nineteen elite soccer players were sampled, using global position system to collect total distance, high-speed distance (HSD) and average speed (AvS). It was also collected session rating of perceived exertion (s-RPE) and HI scores during the daily training sessions throughout the 2015-2016 in-season period. Data were analysed across ten mesocycles (M: 1 to 10) and collected according to the number of days prior to a one-match week. Total daily distance covered was higher at the start (M1 and M3) compared to the final mesocycle (M10) of the season. M1 (5589m) reached a greater distance than M5 (4473m) (ES = 9.33 [12.70, 5.95]) and M10 (4545m) (ES = 9.84 [13.39, 6.29]). M3 (5691m) reached a greater distance than M5 (ES = 9.07 [12.36, 5.78]), M7 (ES = 6.13 [8.48, 3.79]) and M10 (ES = 9.37 [12.76, 5.98]). High-speed running distance was greater in M1 (227m), than M5 (92m) (ES = 27.95 [37.68, 18.22]) and M10 (138m) (ES = 8.46 [11.55, 5.37]). Interestingly, the s-RPE response was higher in M1 (331au) in comparison to the last mesocycle (M10, 239au). HI showed minor variations across mesocycles and in days prior to the match. Every day prior to a match, all internal and external TL variables expressed significant lower values to other days prior to a match (p<0.01). In general, there were no differences between player positions. Conclusions: Our results reveal that despite the existence of some significant differences between mesocycles, there were minor changes across the in-season period for the internal and external TL variables used. Furthermore, it was observed that MD-1 presented a reduction of external TL (regardless of mesocycle) while internal TL variables did not have the same record during in-season match-day-minus.

Indexed as

Athletic PerformanceSoccerAdultFatigueHumansMalePhysical ExertionRunningSeasonsYoung Adult

Identifiers

PMID31009464
PMCPMC6476476

What OpenQuestion holds

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LicenceCC BY
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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.