Evidence map›Paper›PMID 25068750›Full record

ArticlePerceptual and motor skills2014

Prediction of VO2 peak using OMNI Ratings of Perceived Exertion from a submaximal cycle exercise test.

Ryan J Mays, Fredric L Goss, Elizabeth F Nagle, Michael Gallagher, Mark A Schafer, Kevin H Kim, Robert J Robertson

Abstract read
In one paragraph

Article in Perceptual and motor skills, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Effect of Cloth Masks and N95 Respirators on Maximal Exercise Performance in Collegiate Athletes.International journal of environmental research and public health · 2022
    Article
  2. 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

7 authors.

Ryan J Mays1 University of Montana, International Heart Institute of Montana Foundation and University of Colorado School of Medicine.
Fredric L Goss
Elizabeth F Nagle
Michael Gallagher
Mark A Schafer
Kevin H Kim
Robert J Robertson

Funding

A community-based exercise program to improve walking outcomes in patients with pK01HL115534 · NHLBI · UNIVERSITY OF MONTANA · PI MAYS, RYAN J. · 2012 to 2016
$661k
NHLBI NIH HHS K01 HL115534NHLBI NIH HHS K01-HL1-15534-02
6 · The paper itself

Abstract

The primary aim of this study was to develop statistical models to predict peak oxygen consumption (VO2 peak) using OMNI Ratings of Perceived Exertion measured during submaximal cycle ergometry. Male (M = 20.9 yr., SE = 0.4) and female (M = 21.6 yr., SE = 0.5) participants (N = 81) completed a load-incremented maximal cycle ergometer exercise test. Simultaneous multiple linear regression was used to develop separate VO2 peak statistical models using submaximal ratings of perceived exertion for the overall body, legs, and chest/breathing as predictor variables. VO2 peak (L·min(-1)) predicted for men and women from ratings of perceived exertion for the overall body (3.02 ± 0.06; 2.03 ± 0.04), legs (3.02 ± 0.06; 2.04 ± 0.04), and chest/breathing (3.02 ± 0.05; 2.03 ± 0.03) were similar to measured VO2 peak (3.02 ± 0.10; 2.03 ± 0.06, ps > .05). Statistical models based on submaximal OMNI Ratings of Perceived Exertion provide an easily administered and accurate method to predict VO2 peak.

Indexed as

Models, StatisticalAdultBicyclingErgometryFemaleHeart RateHumansMaleOxygen ConsumptionPhysical ExertionPredictive Value of TestsSelf ConceptYoung Adult

Identifiers

PMID25068750
PMCPMC4466107

What OpenQuestion holds

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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.