Heart rate variability in middle-aged sprint and endurance athletes.

Autor: Deus LA; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil. Electronic address: lys.deus@gmail.com., Sousa CV; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Rosa TS; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Filho JMS; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Santos PA; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Barbosa LD; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Silva Aguiar S; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil., Souza LHR; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil; Physical Education Department, Bahia State University, Bahia, Brazil., Simões HG; Graduate Program in Physical Education, Catholic University of Brasília, DF, Brazil.
Jazyk: angličtina
Zdroj: Physiology & behavior [Physiol Behav] 2019 Jun 01; Vol. 205, pp. 39-43. Date of Electronic Publication: 2018 Oct 30.
DOI: 10.1016/j.physbeh.2018.10.018
Abstrakt: Background: Aging is associated with decreased autonomic balance which could be assessed by Heart Rate Variability (HRV). Exercise training improves autonomic balance, but there is a lack in the literature regarding the heart rate variability (HRV) of master sprinters and endurance athletes.
Purpose: The effects of lifelong endurance and sprint training on cardiac autonomic balance were assessed in master athletes and compared with age-matched controls and young untrained controls.
Methods: Participants (n = 81) were 8 master sprinters (MS; 51.8 ± 11.1 yrs), 8 master endurance athletes (EN, n = 8, 53.6 ± 8.6 yrs), 17 age-matched untrained (CON, 47.47 ± 6.00 yrs) and 48 young controls (YC, 25.40 ± 3.87 yrs). For the acquisition of RR intervals (iRR) (Polar RS800X Heart Rate Monitor®) the participants remained seated for 15-min with the final 10-min being considered for analysis. HRV was measured using Kubios software. A one-way ANOVA with repeated measures was applied.
Results: All studied parameters did not differ between MS and EN {Time Domain [HR (bpm) 59.00 ± 6.13 vs. 58.94 ± 12.75], [R-R (ms) 1030.45 ± 107.45 vs. 1068.77 ± 206.17], [SDNN (ms) 57.35 ± 20.07 vs. 80.66 ± 71.07], [RMSSD (ms) 40.88 ± 20.07 vs. 38.93 ± 20.44]; Non-linear domain [SD1 (ms) 28.93 ± 14.20 vs. 27.56 ± 14.46]}, whose demonstrated a reduced HR and elevated mean R-R intervals in comparison to both YC {[HR (bpm) 69.64 ± 9.81]; [R-R (ms) 883.93 ± 124.11]} and age-matched controls {[HR (bpm) 70.06 ± 6.63]; [R-R (ms) 865.11 ± 78.39]}. It was observed a lower HRV for middle-aged CON {[RMSSD (ms) 20.23 ± 5.87], [SDNN (ms) 37.79 ± 10.15] and [SD1 (ms) 14.31 ± 4.15]} compared to YC {[RMSSD (ms) 43.33 ± 26.41], [SDNN (ms) 67.07 ± 28.77] and [SD1 (ms) 30.66 ± 18.69; p < .05]}. These last age-related differences were not observed for MS and EN.
Conclusion: For master athletes, regardless of whether they are trained in endurance or sprinters, both training modes revealed to be equally beneficial in attenuating the effects of aging on the autonomic balance.
(Copyright © 2018 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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