Evidence map›Paper›PMID 36816908›Full record

ArticleSouth African journal of sports medicine2021

Training and match load in professional rugby union: Do contextual factors influence the training week?

S W West, S Williams, P Tierney, T Batchelor, M J Cross, Spt Kemp, K A Stokes

Abstract read
In one paragraph

Article in South African journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

S W WestDepartment for Health, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0001-5800-7000
S WilliamsDepartment for Health, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0003-1460-0085
P TierneyThe Football Association, Burton-on-Trent, UK.ORCID https://orcid.org/0000-0002-6216-9368
T BatchelorHarlequins Rugby Union, Twickenham, UK.
M J CrossPremier Rugby Limited, Twickenham, UK.
Spt KempRugby Football Union, Twickenham, UK.ORCID https://orcid.org/0000-0002-3250-2713
K A StokesDepartment for Health, University of Bath, Bath, UK.ORCID https://orcid.org/0000-0002-5049-2838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rugby union demands a multifaceted approach to training, given the multiple physical and technical attributes required to play the sport. Objectives: The aim of this study is to describe the distribution of training throughout the week and investigate how this may be influenced by match-related factors. Methods: Training load data (session Rating of Perceived Exertion [sRPE], total distance and high-speed running [HSR]) were collected from six professional English rugby teams during the 2017/18 season. Five contextual factors were also recorded including: standard of opposition, competition type, result of previous fixture, surface type, and match venue. Results: The day prior to matches demonstrated the lowest training load (101 AU (95% CIs: 0-216 AU), 1 047 m (95% CIs:1 128-1 686 m) and 59 m (95% CIs: 0-343 m), respectively), while four days prior to the match demonstrated the highest training load (464 AU (95% CIs: 350-578), 2 983 m (95% CIs: 2 704-3 262m) and 234m (95% CIs: 0-477m), respectively). Of the five contextual factors, competition type was the only variable that demonstrated greater than trivial findings, with training before European fixtures the lowest stimulus across the four different competition types. Standard of opposition, previous result, surface type and venue had only trivial effects on training load (effect sizes = -0.13 to 0.15). Conclusion: Future studies should outline the distribution of other training metrics, including contact and collision training. This study provides a multi-club evaluation that demonstrates the variety of loading strategies prior to competitive match play and highlights competition type as the most influential contextual factor impacting the average training load.

Indexed as

athleteathlete managementinjury preventionperformancetraining load

Identifiers

PMID36816908
PMCPMC9924541

What OpenQuestion holds

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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.