Literature DB >> 23175180

Cardiac vagal index does not explain age-independent maximal heart rate.

C V Duarte1, C G Araujo.   

Abstract

Cardiac vagal tone (CVT), a key determinant of resting heart rate (HR), is progressively withdrawn with incremental exercise and nearly abolished at maximal effort. While maximal HR decreases with age, there remains a large interindividual variability of results for any given age. In the present study, we hypothesized that CVT does not contribute to age-independent maximal HR. Data were obtained from 1 000 (39±14 years old) healthy subjects (719 men) who were not taking medications affecting CVT or maximal HR performed a clinically normal and truly maximal cardiopulmonary exercise testing. CVT was estimated using the cardiac vagal index (CVI), a dimensionless ratio obtained by dividing 2 cardiac cycle durations--end of exercise and pre-exercise--, reflecting HR increases during a 4-s unloaded cycling test (a vagally-mediated response). Maximal HR was expressed as % of that predicted by age (208-0.7 × age (years)). Linear regression analyses identified that CVI can explain only 1% of the % age-predicted maximal HR variability with a high standard error of estimate (~6.3%), indicating the absence of a true physiological cause-effect relationship. In conclusion, the influence of CVI on % of age-predicted maximal HR is null in healthy subjects, suggesting distinct physiological mechanisms and potential clinical complementary role for these exercise-related variables. © Georg Thieme Verlag KG Stuttgart · New York.

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Mesh:

Year:  2012        PMID: 23175180     DOI: 10.1055/s-0032-1323818

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  4 in total

1.  4-Second Exercise Test: Reference Values for Ages 18-81 Years.

Authors:  Claudio Gil Araújo; Claudia Lucia Barros de Castro; João Felipe Franca; Plínio Santos Ramos
Journal:  Arq Bras Cardiol       Date:  2015-03-27       Impact factor: 2.000

2.  Influence of age in estimating maximal oxygen uptake.

Authors:  Christina G de Souza E Silva; Barry A Franklin; Daniel E Forman; Claudio Gil S Araújo
Journal:  J Geriatr Cardiol       Date:  2016-02       Impact factor: 3.327

3.  Influence of central obesity in estimating maximal oxygen uptake.

Authors:  Christina Grüne de Souza E Silva; Barry A Franklin; Claudio Gil Soares de Araújo
Journal:  Clinics (Sao Paulo)       Date:  2016-11-01       Impact factor: 2.365

4.  Sex-Specific Equations to Estimate Maximum Oxygen Uptake in Cycle Ergometry.

Authors:  Christina G de Souza e Silva; Claudio Gil S Araújo
Journal:  Arq Bras Cardiol       Date:  2015-07-31       Impact factor: 2.000

  4 in total

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