Literature DB >> 18569563

Do regression-based computer algorithms for determining the ventilatory threshold agree?

Panteleimon Ekkekakis1, Erik Lind, Eric E Hall, Steven J Petruzzello.   

Abstract

The determination of the ventilatory threshold has been a persistent problem in research and clinical practice. Several computerized methods have been developed to overcome the subjectivity of visual methods but it remains unclear whether different computerized methods yield similar results. The purpose of this study was to compare nine regression-based computerized methods for the determination of the ventilatory threshold. Two samples of young and healthy volunteers (n = 30 each) participated in incremental treadmill protocols to volitional fatigue. The ventilatory data were averaged in 20-s segments and analysed with a computer program. Significant variance among methods was found in both samples (Sample 1: F = 11.50; Sample 2: F = 11.70, P < 0.001 for both). The estimates of the ventilatory threshold ranged from 2.47 litres.min(-1) (71% VO2max) to 3.13 litres.min(-1) (90% VO2max) in Sample 1 and from 2.37 litres.min(-1) (67% VO2max) to 3.03 litres.min(-1) (83% VO2max) in Sample 2. The substantial differences between methods challenge the practice of relying on any single computerized method. A standardized protocol, likely based on a combination of methods, might be necessary to increase the methodological consistency in both research and clinical practice.

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Year:  2008        PMID: 18569563     DOI: 10.1080/02640410801910269

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  10 in total

1.  Principal components analysis to evaluate ventilatory variability: comparison of athletes and sedentary men.

Authors:  R R T Castro; M Magini; S Pedrosa; A R K Sales; A C L Nóbrega
Journal:  Med Biol Eng Comput       Date:  2010-11-04       Impact factor: 2.602

Review 2.  The pleasure and displeasure people feel when they exercise at different intensities: decennial update and progress towards a tripartite rationale for exercise intensity prescription.

Authors:  Panteleimon Ekkekakis; Gaynor Parfitt; Steven J Petruzzello
Journal:  Sports Med       Date:  2011-08-01       Impact factor: 11.136

3.  Effect of acute normobaric hypoxia on the ventilatory threshold.

Authors:  Carla A Gallagher; Mark E T Willems; Mark P Lewis; Stephen D Myers
Journal:  Eur J Appl Physiol       Date:  2014-04-23       Impact factor: 3.078

4.  The influence of weight loss on anaerobic threshold in obese women.

Authors:  Agnieszka Zak-Golab; Barbara Zahorska-Markiewicz; Józef Langfort; Piotr Kocelak; Michal Holecki; Katarzyna Mizia-Stec; Magdalena Olszanecka-Glinianowicz; Jerzy Chudek
Journal:  J Sports Sci Med       Date:  2010-12-01       Impact factor: 2.988

5.  Red Spinach Extract Increases Ventilatory Threshold during Graded Exercise Testing.

Authors:  Angelique N Moore; Cody T Haun; Wesley C Kephart; Angelia M Holland; Christopher B Mobley; David D Pascoe; Michael D Roberts; Jeffrey S Martin
Journal:  Sports (Basel)       Date:  2017-10-16

Review 6.  Behavioral and Psychological Phenotyping of Physical Activity and Sedentary Behavior: Implications for Weight Management.

Authors:  Angela D Bryan; John M Jakicic; Christine M Hunter; Mary E Evans; Susan Z Yanovski; Leonard H Epstein
Journal:  Obesity (Silver Spring)       Date:  2017-10       Impact factor: 5.002

7.  New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study.

Authors:  Hirotaka Nishijima; Kazuyuki Kominami; Kazuo Kondo; Masatoshi Akino; Masayuki Sakurai
Journal:  BMC Sports Sci Med Rehabil       Date:  2019-06-24

8.  Affect and prefrontal hemodynamics during exercise under immersive audiovisual stimulation: Improving the experience of exercise for overweight adults.

Authors:  Leighton Jones; Panteleimon Ekkekakis
Journal:  J Sport Health Sci       Date:  2019-03-13       Impact factor: 7.179

9.  Novel Computerized Method for Automated Determination of Ventilatory Threshold and Respiratory Compensation Point.

Authors:  Kyoung Jae Kim; Eric Rivas; Brian Prejean; Dillon Frisco; Millennia Young; Meghan Downs
Journal:  Front Physiol       Date:  2021-12-17       Impact factor: 4.566

10.  Mathematical Modeling and Expression of Heart Rate Deflection Point using Heart Rate and Oxygen Consumption.

Authors:  Kayla M Baker; David H Fukuda; David D Church; Michael B LA Monica; Kyle S Beyer; Jay R Hoffman; Jeffrey R Stout
Journal:  Int J Exerc Sci       Date:  2017-07-01
  10 in total

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