151. Cardiac Vagal Index Does Not Explain Age-Independent Maximal Heart Rate
- Author
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Carlos Vieira Duarte and Claudio Gil Soares de Araújo
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Physical Therapy, Sports Therapy and Rehabilitation ,Incremental exercise ,Young Adult ,Heart Rate ,Internal medicine ,Linear regression ,Heart rate ,medicine ,Humans ,Orthopedics and Sports Medicine ,Cardiac vagal tone ,Exercise ,Aged ,Cardiac cycle ,business.industry ,Age Factors ,Healthy subjects ,Vagus Nerve ,Cardiopulmonary exercise testing ,Middle Aged ,Bicycling ,Surgery ,Standard error ,Exercise Test ,Linear Models ,Cardiology ,Female ,business - 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Cardiac vagal tone (CVT), a key determinant of resting heart rate (HR), is progressively withdrawn with incremental exercise and nearly abolished at maximal effort.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.
- Published
- 2012
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