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 Experiment Videos

Predicting lactate threshold using ventilatory threshold.

P A Plato1, M McNulty, S M Crunk

  • 1Department of Kinesiology, San Jose State University, San Jose, California 95192-0054, United States. plato@kin.sjsu.edu

International Journal of Sports Medicine
|January 25, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Simulation training for clinicians returning to practice.

British journal of hospital medicine (London, England : 2005)·2021
Same author

Turbulence and jet-driven zonal flows: Secondary circulation in rotating fluids due to asymmetric forcing.

Physical review. E·2019
Same author

The cohesin subunit Rad21 is a negative regulator of hematopoietic self-renewal through epigenetic repression of Hoxa7 and Hoxa9.

Leukemia·2016
Same author

Helpful computer programs.

Nursing standard (Royal College of Nursing (Great Britain) : 1987)·2016
Same author

Predictors of skin and soft tissue infections in HIV-infected outpatients in the community-associated methicillin-resistant Staphylococcus aureus era.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2014
Same author

Documentation of advice regarding safer sexual practices and partner notification within an HIV clinic.

International journal of STD & AIDS·2009
Same journal

Improving assessment of post-exercise hypotension as a predictor of training efficacy.

International journal of sports medicine·2026
Same journal

Neuromuscular electrical stimulation after anterior cruciate ligament reconstruction.

International journal of sports medicine·2026
Same journal

Exercise Intensity Effects on Irisin in Master Athletes and Links With Maximal Oxygen Uptake and Body Fat.

International journal of sports medicine·2026
Same journal

Evolution of the Australian Institute of Sport Supplement Program over the last 25 years.

International journal of sports medicine·2026
Same journal

Preseason Passive Torque Asymmetries in Soccer Players with Hamstring Strain Injury.

International journal of sports medicine·2026
Same journal

Musculoskeletal Burden in German Equestrians: Hip-Specific Symptoms and Risk Factors.

International journal of sports medicine·2026
See all related articles

Ventilatory threshold heart rate may underestimate training intensity for cyclists. This study developed a model using ventilatory threshold heart rate, gender, and weight to better predict the lactate threshold heart rate for improved training prescription.

Area of Science:

  • Exercise Physiology
  • Sports Science
  • Biostatistics

Background:

  • Lactate threshold is crucial for setting endurance training intensities.
  • Ventilatory threshold is a noninvasive estimate but often underestimates lactate threshold.
  • Accurate prediction of lactate threshold is vital for optimizing athlete performance.

Purpose of the Study:

  • To evaluate if noninvasive maximal exercise test data can predict lactate threshold.
  • To develop a predictive model for lactate threshold heart rate in cyclists.
  • To improve the accuracy of training intensity prescription for endurance athletes.

Main Methods:

  • Maximal oxygen consumption and ventilatory threshold heart rate were determined using the V-slope method in 19 cyclists.
  • A lactate threshold test using the Dmax method was performed.

Related Experiment Videos

  • A predictive model incorporating ventilatory threshold heart rate, gender, and body weight was developed.

    • Main Results:

    • A moderate correlation (r=0.67) was found between heart rates at ventilatory and lactate thresholds.
    • The predictive model, including ventilatory threshold heart rate, gender, and body weight, achieved an R-squared of 0.70.
    • Gender and body weight significantly influenced the prediction of lactate threshold heart rate.

    Conclusions:

    • Heart rate at the ventilatory threshold can be adjusted to more accurately predict lactate threshold heart rate.
    • The developed model offers a more precise method for estimating lactate threshold in recreational cyclists.
    • This approach can lead to more effective and individualized endurance training programs.