Literature DB >> 15976169

Assessment of ventilatory thresholds during graded and maximal exercise test using time varying analysis of respiratory sinus arrhythmia.

G Blain1, O Meste, T Bouchard, S Bermon.   

Abstract

OBJECTIVE: To test whether ventilatory thresholds, measured during an exercise test, could be assessed using time varying analysis of respiratory sinus arrhythmia frequency (f(RSA)).
METHODS: Fourteen sedentary subjects and 12 endurance athletes performed a graded and maximal exercise test on a cycle ergometer: initial load 75 W (sedentary subjects) and 150 W (athletes), increments 37.5 W/2 min. f(RSA) was extracted from heart period series using an evolutive model. First (T(V1)) and second (T(V2)) ventilatory thresholds were determined from the time course curves of ventilation and ventilatory equivalents for O(2) and CO(2).
RESULTS: f(RSA) was accurately extracted from all recordings and positively correlated to respiratory frequency (r = 0.96 (0.03), p<0.01). In 21 of the 26 subjects, two successive non-linear increases were determined in f(RSA), defining the first (T(RSA1)) and second (T(RSA2)) f(RSA) thresholds. When expressed as a function of power, T(RSA1) and T(RSA2) were not significantly different from and closely linked to T(V1) (r = 0.99, p<0.001) and T(V2) (r = 0.99, p<0.001), respectively. In the five remaining subjects, only one non-linear increase was observed close to T(V2). Significant differences (p<0.04) were found between athlete and sedentary groups when T(RSA1) and T(RSA2) were expressed in terms of absolute and relative power and percentage of maximal aerobic power. In the sedentary group, T(RSA1) and T(RSA2) were 150.3 (18.7) W and 198.3 (28.8) W, respectively, whereas in the athlete group T(RSA1) and T(RSA2) were 247.3 (32.8) W and 316.0 (28.8) W, respectively.
CONCLUSIONS: Dynamic analysis of f(RSA) provides a useful tool for identifying ventilatory thresholds during graded and maximal exercise test in sedentary subjects and athletes.

Entities:  

Mesh:

Year:  2005        PMID: 15976169      PMCID: PMC1725254          DOI: 10.1136/bjsm.2004.014134

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  32 in total

1.  Heart rate variability during dynamic exercise in elderly males and females.

Authors:  R Perini; S Milesi; N M Fisher; D R Pendergast; A Veicsteinas
Journal:  Eur J Appl Physiol       Date:  2000-05       Impact factor: 3.078

Review 2.  Methods to determine aerobic endurance.

Authors:  Laurent Bosquet; Luc Léger; Patrick Legros
Journal:  Sports Med       Date:  2002       Impact factor: 11.136

3.  Anaerobic threshold and maximal aerobic power for three modes of exercise.

Authors:  J A Davis; P Vodak; J H Wilmore; J Vodak; P Kurtz
Journal:  J Appl Physiol       Date:  1976-10       Impact factor: 3.531

4.  Effects of atropine and propranolol on the oxygen transport system during exercise in man.

Authors:  B Ekblom; A N Goldbarg; A Kilbom; P O Astrand
Journal:  Scand J Clin Lab Invest       Date:  1972-09       Impact factor: 1.713

5.  Plasma lactate accumulation and distance running performance.

Authors:  P A Farrell; J H Wilmore; E F Coyle; J E Billing; D L Costill
Journal:  Med Sci Sports       Date:  1979

6.  Breathing during exercise.

Authors:  K Wasserman
Journal:  N Engl J Med       Date:  1978-04-06       Impact factor: 91.245

7.  The significance of the aerobic-anaerobic transition for the determination of work load intensities during endurance training.

Authors:  W Kindermann; G Simon; J Keul
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1979-09

8.  Physiological comparisons among three maximal treadmill exercise protocols in trained and untrained individuals.

Authors:  J Kang; E C Chaloupka; M A Mastrangelo; G B Biren; R J Robertson
Journal:  Eur J Appl Physiol       Date:  2001-04       Impact factor: 3.078

9.  Control of heart rate by the autonomic nervous system. Studies in man on the interrelation between baroreceptor mechanisms and exercise.

Authors:  B F Robinson; S E Epstein; G D Beiser; E Braunwald
Journal:  Circ Res       Date:  1966-08       Impact factor: 17.367

Review 10.  Anaerobic threshold: the concept and methods of measurement.

Authors:  Krista Svedahl; Brian R MacIntosh
Journal:  Can J Appl Physiol       Date:  2003-04
View more
  3 in total

1.  Improbable effect of carbohydrate diet on cardiac autonomic modulation during exercise.

Authors:  Martin Buchheit; Alberto Mendez-Villanueva
Journal:  Eur J Appl Physiol       Date:  2010-02-12       Impact factor: 3.078

2.  Cerebral and Muscle Tissue Oxygenation During Incremental Cycling in Male Adolescents Measured by Time-Resolved Near-Infrared Spectroscopy.

Authors:  Goutham Ganesan; Szu-Yun Leu; Albert Cerussi; Bruce Tromberg; Dan M Cooper; Pietro Galassetti
Journal:  Pediatr Exerc Sci       Date:  2015-10-09       Impact factor: 2.333

3.  Assessment of Heart Rate Variability Thresholds from Incremental Treadmill Tests in Five Cross-Country Skiing Techniques.

Authors:  Ibai Mendia-Iztueta; Kristen Monahan; Heikki Kyröläinen; Esa Hynynen
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.