Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Exercise Stress Test01:26

Exercise Stress Test

2.0K
Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
2.0K
Exercise and Muscle Performance01:27

Exercise and Muscle Performance

5.1K
Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
5.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Comparison of Fixed Percentage of One-Repetition Maximum, Rating of Perceived Exertion, and Last Repetition Velocity-Based Training Load Prescription on Muscular Adaptations in Older Adults.

Journal of strength and conditioning research·2026
Same author

Conceptualizing a load and volume autoregulation integrated velocity model to minimize neuromuscular fatigue and maximize neuromuscular adaptations in resistance training.

European journal of applied physiology·2025
Same author

A Comparison of Subjective Estimations and Objective Velocities at Quantifying Proximity to Failure for the Bench Press in Resistance-Trained Men and Women.

Journal of strength and conditioning research·2024
Same author

Effects of 12-Week Home-based Resistance Training on Peripheral Muscle Oxygenation in Children With Congenital Heart Disease: A CHAMPS Study.

CJC pediatric and congenital heart disease·2023
Same author

Finding the Optimal Resistance Training Intensity for Your Bones: Protocol for a Randomized Controlled Trial.

Physical therapy·2023
Same author

The Effect of Load and Volume Autoregulation on Muscular Strength and Hypertrophy: A Systematic Review and Meta-Analysis.

Sports medicine - open·2022

Related Experiment Video

Updated: Apr 5, 2026

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol
08:21

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol

Published on: June 8, 2017

8.2K

Do physiological measures predict selected CrossFit(®) benchmark performance?

Scotty J Butcher1, Tyler J Neyedly2, Karla J Horvey3

  • 1Physical Therapy, University of Saskatchewan, Saskatoon, SK, Canada ; BOSS Strength Institute, University of Saskatchewan, Saskatoon, SK, Canada.

Open Access Journal of Sports Medicine
|August 12, 2015
PubMed
Summary
This summary is machine-generated.

Whole-body strength, not aerobic capacity, significantly predicts performance in high-intensity CrossFit workouts like Grace and Fran. Athletes should prioritize strength training to improve performance in these benchmark WODs.

Keywords:
aerobicanaerobicexercisefunctionalhigh-intensitystrengthtraining

More Related Videos

Conducting Maximal and Submaximal Endurance Exercise Testing to Measure Physiological and Biological Responses to Acute Exercise in Humans
07:26

Conducting Maximal and Submaximal Endurance Exercise Testing to Measure Physiological and Biological Responses to Acute Exercise in Humans

Published on: October 17, 2018

21.6K
Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise
09:33

Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise

Published on: December 19, 2024

1.7K

Related Experiment Videos

Last Updated: Apr 5, 2026

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol
08:21

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol

Published on: June 8, 2017

8.2K
Conducting Maximal and Submaximal Endurance Exercise Testing to Measure Physiological and Biological Responses to Acute Exercise in Humans
07:26

Conducting Maximal and Submaximal Endurance Exercise Testing to Measure Physiological and Biological Responses to Acute Exercise in Humans

Published on: October 17, 2018

21.6K
Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise
09:33

Using Near-Infrared Spectroscopy Wearable Devices to Identify Central Versus Peripheral Limitations During Exercise

Published on: December 19, 2024

1.7K

Area of Science:

  • Exercise Physiology
  • Sports Science
  • High-Intensity Interval Training

Background:

  • CrossFit is a popular training regimen featuring varied functional movements at high intensity.
  • Physiological predictors of CrossFit performance remain largely uninvestigated.
  • Understanding performance determinants is crucial for optimizing training.

Purpose of the Study:

  • To identify physiological and muscle strength measures that predict performance in common CrossFit Workouts of the Day (WODs).
  • To investigate the relationship between strength, anaerobic capacity, and aerobic endurance with WOD performance.

Main Methods:

  • Fourteen CrossFit athletes completed three benchmark WODs: Grace, Fran, and Cindy.
  • Athletes also underwent CrossFit Total (strength), VO2max (aerobic capacity), and Wingate (anaerobic power) testing.
  • Performance metrics were correlated with physiological and strength measures.

Main Results:

  • Whole-body strength (CrossFit Total) significantly predicted performance in Grace and Fran (R²=0.77 and 0.42).
  • Anaerobic threshold showed an association with performance in Grace and Fran but did not survive regression analysis.
  • No significant predictors were identified for the Cindy WOD performance.

Conclusions:

  • CrossFit performance on benchmark WODs like Grace and Fran is primarily determined by whole-body strength.
  • Aerobic capacity (VO2max) and anaerobic power/capacity do not predict performance in these specific WODs.
  • Athletes should focus on developing adequate strength and aerobic endurance to enhance performance in certain CrossFit benchmark WODs.