Evidence map›Paper›PMID 34449668›Full record

ArticleJournal of functional morphology and kinesiology2021

Functional Translation of Exercise Responses from Exercise Testing to Exercise Training: The Test of a Model.

Tristan Tyrrell, Jessica Pavlock, Susan Bramwell, Cristina Cortis, Scott T Doberstein, Andrea Fusco, John P Porcari, Carl Foster

Open access · goldAbstract read
In one paragraph

Article in Journal of functional morphology and kinesiology, 2021. 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
1.1field-weighted citation impact, top 20% of its field
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, 5 citations in OpenAlex.

  1. Exercise Evaluation and Prescription-Second Edition.Journal of functional morphology and kinesiology · 2022
    Article
  2. Review
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

8 authors at 2 institutions in 2 countries.

Tristan TyrrellDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
Jessica PavlockDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
Susan BramwellDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
Cristina CortisDepartment of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, 03043 Cassino, Italy.ORCID 0000-0001-9643-5532
Scott T DobersteinDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
Andrea FuscoDepartment of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, 03043 Cassino, Italy.ORCID 0000-0002-9090-4454
John P PorcariDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
Carl FosterDepartment of Exercise and Sport Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USA.
University of Wisconsin–La Crosse · USUniversità degli studi di Cassino e del Lazio Meridionale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise prescription based on exercise test results is complicated by the need to downregulate the absolute training intensity to account for cardiovascular drift in order to achieve a desired internal training load. We tested a recently developed generalized model to perform this downregulation using metabolic equivalents (METs) during exercise testing and training. A total of 20 healthy volunteers performed an exercise test to define the METs at 60, 70, and 80% of the heart rate (HR) reserve and then performed randomly ordered 30 min training bouts at absolute intensities predicted by the model to achieve these levels of training intensity. The training HR at 60 and 70% HR reserve, but not 80%, was significantly less than predicted from the exercise test, although the differences were small. None of the ratings of perceived exertion (RPE) values during training were significantly different than predicted. There was a strong overall correlation between predicted and observed HR (r = 0.88) and RPE (r = 0.52), with 92% of HR values within ±10 bpm and 74% of RPE values within ±1 au. We conclude that the generalized functional translation model is generally adequate to allow the generation of early absolute training loads that lead to desired internal training loads.

Indexed as

exercise prescriptionMETsRPEtarget heart rate

Identifiers

PMID34449668
PMCPMC8395770
OpenAlexW3188432866

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.