Evidence map›Paper›PMID 30096881›Full record

ArticleSports (Basel, Switzerland)2018

Prescribing Target Running Intensities for High-School Athletes: Can Forward and Backward Running Performance Be Autoregulated?

Aaron Uthoff, Jon Oliver, John Cronin, Paul Winwood, Craig Harrison

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Comparison of PlayerLoadSports (Basel, Switzerland) · 2021
    Article
  5. 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

5 authors.

Aaron UthoffSports Performance Research Institute New Zealand (SPRINZ), AUT Millennium, AUT University, 17 Anatres Pl, Rosedale, Auckland 0632, New Zealand. uthoffaaron@gmail.com.ORCID 0000-0002-6737-0562
Jon OliverSports Performance Research Institute New Zealand (SPRINZ), AUT Millennium, AUT University, 17 Anatres Pl, Rosedale, Auckland 0632, New Zealand. joliver@cardiffmet.ac.uk.
John CroninSports Performance Research Institute New Zealand (SPRINZ), AUT Millennium, AUT University, 17 Anatres Pl, Rosedale, Auckland 0632, New Zealand. john.cronin@aut.ac.nz.
Paul WinwoodSports Performance Research Institute New Zealand (SPRINZ), AUT Millennium, AUT University, 17 Anatres Pl, Rosedale, Auckland 0632, New Zealand. Paul.Winwood@toiohomai.ac.nz.
Craig HarrisonSports Performance Research Institute New Zealand (SPRINZ), AUT Millennium, AUT University, 17 Anatres Pl, Rosedale, Auckland 0632, New Zealand. craig@athletedevelopment.org.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Target running intensities are prescribed to enhance sprint-running performance and progress injured athletes back into competition, yet is unknown whether running speed can be achieved using autoregulation. This study investigated the consistency of running intensities in adolescent athletes using autoregulation to self-select velocity. Thirty-four boys performed 20 m forward running (FR) and backward running (BR) trials at slow, moderate and fast intensities (40⁻55%, 60⁻75% and +90% maximum effort, respectively) on three occasions. Absolute and relative consistency was assessed using the coefficient of variation (CV) and intraclass correlation coefficients (ICC). Systematic changes in 10 and 20 m performance were identified between trials 1⁻2 for moderate and fast BR (

Indexed as

peak height velocityreliabilityretro-runningtempo training

Identifiers

PMID30096881
PMCPMC6162733

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.