Evidence map›Paper›PMID 32456306›Full record

ArticleInternational journal of environmental research and public health2020

Physiological Predictors of Competition Performance in CrossFit Athletes.

Rafael Martínez-Gómez, Pedro L Valenzuela, Lidia B Alejo, Jaime Gil-Cabrera, Almudena Montalvo-Pérez, Eduardo Talavera, Alejandro Lucia, Susana Moral-González, David Barranco-Gil

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Trial
  2. Soft Tissue Mobilization and Stretching for Shoulder in CrossFitters: A Randomized Pilot Study.International journal of environmental research and public health · 2021
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Comparison between Measured and Predicted Resting Metabolic Rate Equations in Cross-Training Practitioners.International journal of environmental research and public health · 2024
    Article
  15. Article
  16. Article
  17. Comparison of VOSports (Basel, Switzerland) · 2023
    Article
  18. CrossFitSports (Basel, Switzerland) · 2023
    Review
  19. Predicting the Clean Movement Technique in CrossfitInternational journal of environmental research and public health · 2022
    Article
  20. 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

9 authors.

Rafael Martínez-GómezFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0001-8788-6243
Pedro L ValenzuelaDepartment of Systems Biology, University of Alcalá, 28805 Madrid, Spain.ORCID 0000-0003-1730-3369
Lidia B AlejoFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0001-6347-1369
Jaime Gil-CabreraFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
Almudena Montalvo-PérezFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
Eduardo TalaveraFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
Alejandro LuciaFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
Susana Moral-GonzálezFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
David Barranco-GilFaculty of Sport Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine the physiological variables that predict competition performance during a CrossFit competition. Fifteen male amateur CrossFit athletes (age, 35 ± 9 years; CrossFit experience, 40 ± 27 months) performed a series of laboratory-based tests (incremental load test for deep full squat and bench press; squat, countermovement and drop jump tests; and incremental running and Wingate tests) that were studied as potential predictors of CrossFit performance. Thereafter, they performed the five Workouts of the Day (WODs) corresponding to the CrossFit Games Open 2019, and we assessed the relationship between the laboratory-based markers and CrossFit performance with regression analyses. Overall CrossFit performance (i.e., final ranking considering the sum of all WODs, as assessed by number of repetitions, time spent in exercises or weight lifted) was significantly related to jump ability, mean and peak power output during the Wingate test, relative maximum strength for the deep full squat and the bench press, and maximum oxygen uptake (VO

Indexed as

AthletesAthletic PerformanceOxygen ConsumptionRunningAdultExercise TestHumansMaleMuscle StrengthOxygenOxygenjumplaboratory testspowersportstrengthVO2max

Identifiers

PMID32456306
PMCPMC7277742

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.