TY - JOUR
T1 - Detailed heart rate variability analysis in athletes
AU - Kiss, Orsolya
AU - Sydó, Nóra
AU - Vargha, Péter
AU - Vágó, Hajnalka
AU - Czimbalmos, Csilla
AU - Édes, Eszter
AU - Zima, Endre
AU - Apponyi, Györgyi
AU - Merkely, Gergő
AU - Sydó, Tibor
AU - Becker, Dávid
AU - Allison, Thomas G.
AU - Merkely, Béla
PY - 2016/8/1
Y1 - 2016/8/1
N2 - Abstract: Objective: Heart rate variability (HRV) analysis has been used to evaluate patients with various cardiovascular diseases. While the vast majority of HRV studies have focused on pathological states, our study focuses on the less explored area of HRV analysis across different training intensity and sports. We aimed to measure HRV in healthy elite and masters athletes and compare to healthy, but non-athletic controls. Methods: Time-domain HRV analysis was applied in 138 athletes (male 110, age 28.4 ± 8.3) and 100 controls (male 56, age 28.3 ± 6.9) during Holter monitoring (21.3 ± 3.0 h). Results: All studied parameters were higher in elite athletes compared to controls [SDNN (CI) 225.3 (216.2–234.5) vs 158.6 (150.2–167.1) ms; SDNN Index (CI) 99.6 (95.6–103.7) vs 72.4 (68.7–76.2) ms; pNN50 (CI) 24.2 (22.2–26.3) vs 14.4 (12.7–16.3) %; RMSSD (CI) 71.8 (67.6–76.2) vs 50.8 (46.9–54.8) ms; p < 0.001]. Masters had higher HRV values than controls, but no significant differences were found between elite athletes and masters athletes. Some parameters were higher in canoeists-kayakers and bicyclists than runners. Lower cut-off values in elite athletes were SDNN: 147.4 ms, SDNN Index: 66.6 ms, pNN50: 9.7 %, RMSSD: 37.9 ms. Interpretation: Autonomic regulation in elite athletes described with HRV is significantly different than in healthy controls. Sports modality and level of performance, but not age- or sex-influenced HRV. Our study provides athletic normal HRV values. Further investigations are needed to determine its role in risk stratification, optimization of training, or identifying overtraining.
AB - Abstract: Objective: Heart rate variability (HRV) analysis has been used to evaluate patients with various cardiovascular diseases. While the vast majority of HRV studies have focused on pathological states, our study focuses on the less explored area of HRV analysis across different training intensity and sports. We aimed to measure HRV in healthy elite and masters athletes and compare to healthy, but non-athletic controls. Methods: Time-domain HRV analysis was applied in 138 athletes (male 110, age 28.4 ± 8.3) and 100 controls (male 56, age 28.3 ± 6.9) during Holter monitoring (21.3 ± 3.0 h). Results: All studied parameters were higher in elite athletes compared to controls [SDNN (CI) 225.3 (216.2–234.5) vs 158.6 (150.2–167.1) ms; SDNN Index (CI) 99.6 (95.6–103.7) vs 72.4 (68.7–76.2) ms; pNN50 (CI) 24.2 (22.2–26.3) vs 14.4 (12.7–16.3) %; RMSSD (CI) 71.8 (67.6–76.2) vs 50.8 (46.9–54.8) ms; p < 0.001]. Masters had higher HRV values than controls, but no significant differences were found between elite athletes and masters athletes. Some parameters were higher in canoeists-kayakers and bicyclists than runners. Lower cut-off values in elite athletes were SDNN: 147.4 ms, SDNN Index: 66.6 ms, pNN50: 9.7 %, RMSSD: 37.9 ms. Interpretation: Autonomic regulation in elite athletes described with HRV is significantly different than in healthy controls. Sports modality and level of performance, but not age- or sex-influenced HRV. Our study provides athletic normal HRV values. Further investigations are needed to determine its role in risk stratification, optimization of training, or identifying overtraining.
KW - Athletes
KW - Autonomic function
KW - Heart rate variability
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U2 - 10.1007/s10286-016-0360-z
DO - 10.1007/s10286-016-0360-z
M3 - Article
C2 - 27271053
AN - SCOPUS:84979266829
SN - 0959-9851
VL - 26
SP - 245
EP - 252
JO - Clinical Autonomic Research
JF - Clinical Autonomic Research
IS - 4
ER -