Evidence map›Paper›PMID 30088218›Full record

SynthesisSports medicine (Auckland, N.Z.)2018

The Use of Microtechnology to Quantify the Peak Match Demands of the Football Codes: A Systematic Review.

Sarah Whitehead, Kevin Till, Dan Weaving, Ben Jones

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 11 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

77 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  10. Monitoring Accumulated Training and Match Load in Football: A Systematic Review.International journal of environmental research and public health · 2021
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sarah WhiteheadInstitute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, LS6 3QS, UK. s.whitehead@leedsbeckett.ac.uk.ORCID http://orcid.org/0000-0002-6105-3160
Kevin TillInstitute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, LS6 3QS, UK.
Dan WeavingInstitute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, LS6 3QS, UK.
Ben JonesInstitute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, LS6 3QS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantifying the peak match demands within the football codes is useful for the appropriate prescription of external training load. Wearable microtechnology devices can be used to identify the peak match demands, although various methodologies exist at present.

objectivesThis systematic review aimed to identify the methodologies and microtechnology-derived variables used to determine the peak match demands, and to summarise current data on the peak match demands in the football codes.

methodsA systematic search of electronic databases was performed from earliest record to May 2018; keywords relating to microtechnology, peak match demands and football codes were used.

resultsTwenty-seven studies met the eligibility criteria. Six football codes were reported: rugby league (n = 7), rugby union (n = 5), rugby sevens (n = 4), soccer (n = 6), Australian Football (n = 2) and Gaelic Football (n = 3). Three methodologies were identified: moving averages, segmental and 'ball in play'. The moving averages is the most commonly used (63%) and superior method, identifying higher peak demands than other methods. The most commonly used variables were relative distance covered (63%) and external load in specified speed zones (57%).

conclusionThis systematic review has identified moving averages to be the most appropriate method for identifying the peak match demands in the football codes. Practitioners and researchers should choose the most relevant duration-specific period and microtechnology-derived variable for their specific needs. The code specific peak match demands revealed can be used for the prescription of conditioning drills and training intensity.

Indexed as

MicrotechnologyWorkloadFootballGeographic Information SystemsHumansSoccer

Identifiers

PMID30088218
PMCPMC6182461

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.