Evidence map›Paper›PMID 25414744›Full record

ArticleJournal of human kinetics2014

Tracking changes in maximal oxygen consumption with the heart rate index in female collegiate soccer players.

Michael R Esco, Ronald L Snarr, Andrew Flatt, Matthew Leatherwood, Adam Whittaker

Abstract read
In one paragraph

Article in Journal of human kinetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Michael R EscoDepartment of Kinesiology, University of Alabama, Tuscaloosa, AL.
Ronald L SnarrDepartment of Kinesiology, University of Alabama, Tuscaloosa, AL.
Andrew FlattDepartment of Kinesiology, University of Alabama, Tuscaloosa, AL.
Matthew LeatherwoodHuman Performance Laboratory, Department of Physical Education and Exercise Science, Auburn University at Montgomery, Montgomery, AL.
Adam WhittakerHuman Performance Laboratory, Department of Physical Education and Exercise Science, Auburn University at Montgomery, Montgomery, AL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to determine if the HRindex Method (VO2max = [6 x HRindex - 5] x 3.5, where HRindex = HRmax/HRrest) was accurate for tracking changes in VO2max following 8-weeks of endurance training among collegiate female soccer players. Predicted VO2max via the HRindex Method and observed VO2max from a maximal exercise test on a treadmill were determined for a group of female soccer athletes (n = 15) before and following an 8-week endurance training protocol. The predicted (pVO2max) and observed (aVO2max) values were compared at baseline and within 1-week post-training. Change values (i.e., the difference between pre to post) for each variable were also determined and compared. There was a significant difference between aVO2max before (43.2 ± 2.8 ml·kg·min(-1)) and following (46.2 ± 2.1 ml·kg·min(-1)) the 8-week training program (p < 0.05). However, pVO2max did not significantly change following training (pre = 43.4 ± 4.6 ml·kg·min(-1), post = 42.9 ± 4.1 ml·kg·min(-1), p = 0.53). Furthermore, the correlation between the change in aVO2max and the change in pVO2max was trivial and non-significant (r = 0.30, p = 0.28). The HRindex Method does not appear to be suitable for predicting changes in VO2max following 8-weeks of endurance training in female collegiate soccer players.

Indexed as

aerobic fitnessathletessportswomen

Identifiers

PMID25414744
PMCPMC4234749

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.