| Title |
Heritability of heart rate recovery and vagal rebound after exercise
|
|---|---|
| Published in |
European Journal of Applied Physiology, September 2016
|
| DOI | 10.1007/s00421-016-3459-y |
| Pubmed ID | |
| Authors |
Ineke Nederend, Nienke M. Schutte, Meike Bartels, Arend D. J. ten Harkel, Eco J. C. de Geus |
| Abstract |
The prognostic power of heart rate recovery (HRR) after exercise has been well established but the exact origin of individual differences in HRR remains unclear. This study aims to estimate the heritability of HRR and vagal rebound after maximal exercise in adolescents. Furthermore, the role of voluntary regular exercise behavior (EB) in HRR and vagal rebound is tested. 491 healthy adolescent twins and their siblings were recruited for maximal exercise testing, followed by a standardized cooldown with measurement of the electrocardiogram and respiratory frequency. Immediate and long-term HRR (HRR60 and HRR180) and vagal rebound (heart rate variability in the respiratory frequency range) were assessed 1 and 3 min after exercise. Multivariate twin modeling was used to estimate heritability of all measured variables and to compute the genetic contribution to their covariance. Heritability of HRR60, HRR180 and immediate and long-term vagal rebound is 60 % (95 % CI: 48-67), 65 % (95 % CI: 54-73), 23 % (95 % CI: 11-35) and 3 % (95 % CI: 0-11), respectively. We find evidence for two separate genetic factors with one factor influencing overall cardiac vagal control, including resting heart rate and respiratory sinus arrhythmia, and a specific factor for cardiac vagal exercise recovery. EB was only modestly associated with resting heart rate (r = -0.27) and HRR (rHRR60 = 0.10; rHRR180 = 0.19) with very high genetic contribution to these associations (88-91 %). Individual differences in HRR and immediate vagal rebound can to a large extent be explained by genetic factors. These innate cardiac vagal exercise recovery factors partly reflect the effects of heritable differences in EB. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 98 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 11 | 11% |
| Researcher | 11 | 11% |
| Student > Postgraduate | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 26 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 19 | 19% |
| Medicine and Dentistry | 18 | 18% |
| Nursing and Health Professions | 7 | 7% |
| Psychology | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 29 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 May 2019.
All research outputs
#15,739,529
of 25,373,627 outputs
Outputs from European Journal of Applied Physiology
#2,985
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Outputs of similar age
#192,439
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Outputs of similar age from European Journal of Applied Physiology
#34
of 45 outputs
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