Evidence map›Paper›PMID 29260420›Full record

ReviewSports medicine - open2017

Physical characteristics of players within the Australian Football League participation pathways: a systematic review.

Jade A Z Haycraft, Stephanie Kovalchik, David B Pyne, Sam Robertson

Abstract readReview
In one paragraph

Review in Sports medicine - open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
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  11. Association of Genetic Variances inSports (Basel, Switzerland) · 2021
    Article
  12. Review
  13. Mixed versus Focused Resistance Training during an Australian Football Pre-Season.Journal of functional morphology and kinesiology · 2020
    Article
  14. Can Haematological and Hormonal Biomarkers Predict Fitness Parameters in Youth Soccer Players? A Pilot Study.International journal of environmental research and public health · 2020
    Article
  15. 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

4 authors.

Jade A Z HaycraftInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, P.O. Box 14428, Melbourne, VIC, 8001, Australia. jade.haycraft@live.vu.edu.au.
Stephanie KovalchikInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, P.O. Box 14428, Melbourne, VIC, 8001, Australia.
David B PyneAustralian Institute of Sport, Canberra, Australia.
Sam RobertsonInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, P.O. Box 14428, Melbourne, VIC, 8001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAustralian football (AF) players require endurance, strength, speed, and agility to be successful. Tests assessing physical characteristics are commonly used for talent identification; however, their ability to differentiate between players across the Australian Football League's (AFL) participation pathway remains unclear. The objective of this review was to quantify the physical characteristics of male AF players across the AFL participation pathway.

methodsA search of databases was undertaken. Studies examining tests of physical performance were included, with 27 meeting the inclusion/exclusion criteria. Study appraisal was conducted using a checklist of selection criteria.

resultsThe 20-m sprint time was the most reported test, followed by vertical jump (VJ), AFL planned agility, and 20-m multi-stage fitness test (MSFT). The fastest times for 20-m sprint were for Elite AFL players (range 2.94-3.13 s), with local-level players the slowest (3.22-4.06 s). State Junior Under (U) 18s (58-66 cm) had higher jumps than senior players, with the lowest jumps reported for Local U10s (mean 31 cm). No elite-level data were reported for the AFL planned agility or 20-m MSFT. AFL planned agility times were only reported for talent pathway levels, with large performance variability evident across all levels (8.17-9.12 s). Only mean 20-m MSFT scores were reported from Local U10s to National Draft Camp (6.10-13.50 shuttles).

conclusionsTalent pathway players exhibit similar mean test scores irrespective of the physical test, with the exception of 20-m sprint and VJ. Physical tests can discriminate between local participation level players but are less useful within the AFL talent pathway.

Indexed as

Australian rules footballPhysical performanceSport development pathwayTalent identification

Identifiers

PMID29260420
PMCPMC5736505

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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.