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

A nomogram to predict exercise capacity from a specific activity questionnaire and clinical data

J Myers1, D Do, W Herbert

  • 1Cardiology Division, Palo Alto Veterans Affairs Medical Center, California 94304.

The American Journal of Cardiology
|March 15, 1994
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

Allergic Signature in Delayed Cross-Hypersensitivity to all Iodinated Contrast Media.

Allergy·2025
Same author

Prediction of growth and feed efficiency in mink using machine learning algorithms.

Animal : an international journal of animal bioscience·2025
Same author

PPY-cell hyperplasia accompanying NENs: Immunohistochemical and nuclear medicine analysis.

Pathology, research and practice·2023
Same author

Observation and Measurement of Forward Proton Scattering in Association with Lepton Pairs Produced via the Photon Fusion Mechanism at ATLAS.

Physical review letters·2021
Same author

Search for Heavy Resonances Decaying into a Photon and a Hadronically Decaying Higgs Boson in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2021
Same author

Search for Higgs Boson Decays into a Z Boson and a Light Hadronically Decaying Resonance Using 13 TeV pp Collision Data from the ATLAS Detector.

Physical review letters·2020

A simple physical activity questionnaire (VSAQ) and age accurately predict exercise capacity in patients referred for testing. This allows for individualized clinical exercise testing protocols, improving patient care.

Area of Science:

  • Cardiology
  • Exercise Physiology

Background:

  • Clinical exercise testing protocols can be optimized by individualization based on patient characteristics.
  • Assessing a patient's exercise capacity before testing is crucial for protocol optimization.

Purpose of the Study:

  • To examine the accuracy of a simple physical activity questionnaire (VSAQ) and clinical data in predicting treadmill performance.
  • To develop a method for individualizing clinical exercise testing protocols.

Main Methods:

  • A self-administered questionnaire (VSAQ) was developed to identify daily activities associated with cardiovascular symptoms.
  • Two hundred twelve patients referred for maximal exercise testing were studied.
  • Stepwise regression analysis was used to predict treadmill performance using VSAQ responses, clinical, and demographic variables.

Related Experiment Videos

Main Results:

  • The VSAQ and age were significant predictors of treadmill performance, explaining 67% of the variance in exercise capacity (R = 0.82).
  • A regression equation was derived: achieved metabolic equivalents = 4.7 + 0.97 (VSAQ) - 0.06 (age).
  • A nomogram was developed based on this equation for practical application.

Conclusions:

  • The VSAQ, combined with age and a nomogram, provides a reasonably accurate and quick estimate of exercise capacity.
  • This approach facilitates the individualization of clinical exercise testing protocols.
  • Similar methods may be applicable to other populations for personalized exercise testing.