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Role of Type and Volume of Recreational Physical Activity on Heart Rate Variability in Men. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17082719. [PMID: 32326463 PMCID: PMC7215788 DOI: 10.3390/ijerph17082719] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 01/01/2023]
Abstract
The aim of this study was to investigate the effect of recreational aerobic physical activity (PA) type and volume on heart rate variability (HRV) in Arab men. This was a retrospective, cross-sectional study, and included men (n = 75, age = 37.6 ± 7.1 years, body mass index (BMI) = 26.7 ± 3.1 kg/m2) who were members of a walking group, cycling group, or were inactive controls. Monthly distances from the past three months were obtained from walking and cycling groups, and the volume of PA was classified into three subgroups (high, moderate, low). HRV was measured using a computerized electrocardiographic data acquisition device. R–R interval recordings were performed while participants rested in a motionless supine position. RR intervals were recorded for 15 minutes, and a five-minute segment with minimal ectopic beats and artifacts was selected for HRV analysis. Time-domain parameters included the mean R–R interval, standard deviation of the mean R–R interval (SDNN), and root-mean-squared difference of successive RR intervals (RMSSD). The frequency-domain parameters included high-frequency power (HF), low-frequency power (LF), and LF to HF ratio (LF/HF). Results showed that there were no significant differences between walking, cycling, and control groups for all HRV parameters. Time-domain analyses based on PA volume showed that age-adjusted SDNN for the high-active group was greater than the low-active group (P = 0.03), and RMSSD for the moderate-active group was greater than the control group (P = 0.009). For the frequency domain, LF for the high-active group was greater than the low-active and control groups (P = 0.006), and HF for the moderate-active group was greater than the low-active group (P = 0.04). These data indicate that walking >150 km per month, or cycling >100 km per month at a speed >20 km/h may be necessary to derive cardiac autonomic benefits from PA among Arab men.
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Fecchio RY, Brito L, Leicht AS, Forjaz CL, Peçanha T. Reproducibility of post-exercise heart rate recovery indices: A systematic review. Auton Neurosci 2019; 221:102582. [DOI: 10.1016/j.autneu.2019.102582] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 07/03/2019] [Accepted: 08/21/2019] [Indexed: 01/14/2023]
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Vitale JA, Bonato M, La Torre A, Banfi G. Heart Rate Variability in Sport Performance: Do Time of Day and Chronotype Play A Role? J Clin Med 2019; 8:jcm8050723. [PMID: 31117327 PMCID: PMC6571903 DOI: 10.3390/jcm8050723] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 05/10/2019] [Accepted: 05/20/2019] [Indexed: 12/20/2022] Open
Abstract
A reliable non-invasive method to assess autonomic nervous system activity involves the evaluation of the time course of heart rate variability (HRV). HRV may vary in accordance with the degree and duration of training, and the circadian fluctuation of this variable is crucial for human health since the heart adapts to the needs of different activity levels during sleep phases or in the daytime. In the present review, time-of-day and chronotype effect on HRV in response to acute sessions of physical activity are discussed. Results are sparse and controversial; however, it seems that evening-type subjects have a higher perturbation of the autonomic nervous system (ANS), with slowed vagal reactivation and higher heart rate values in response to morning exercise than morning types. Conversely, both chronotype categories showed similar ANS activity during evening physical tasks, suggesting that this time of day seems to perturb the HRV circadian rhythm to a lesser extent. The control for chronotype and time-of-day effect represents a key strategy for individual training schedules, and, in perspective, for primary injury prevention.
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Affiliation(s)
| | - Matteo Bonato
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy.
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Giuseppe Colombo 71, 20133 Milan, Italy.
| | - Antonio La Torre
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy.
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Giuseppe Colombo 71, 20133 Milan, Italy.
| | - Giuseppe Banfi
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy.
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.
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Lopes TR, Sabino-Carvalho JL, Ferreira THN, Succi JE, Silva AC, Silva BM. Effect of Ischemic Preconditioning on the Recovery of Cardiac Autonomic Control From Repeated Sprint Exercise. Front Physiol 2018; 9:1465. [PMID: 30416451 PMCID: PMC6212507 DOI: 10.3389/fphys.2018.01465] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 09/27/2018] [Indexed: 12/18/2022] Open
Abstract
Repeated sprint exercise (RSE) acutely impairs post-exercise heart rate (HR) recovery (HRR) and time-domain heart rate variability (i. e., RMSSD), likely in part, due to lactic acidosis-induced reduction of cardiac vagal reactivation. In contrast, ischemic preconditioning (IPC) mediates cardiac vagal activation and augments energy metabolism efficiency during prolonged ischemia followed by reperfusion. Therefore, we investigated whether IPC could improve recovery of cardiac autonomic control from RSE partially via improved energy metabolism responses to RSE. Fifteen men team-sport practitioners (mean ± SD: 25 ± 5 years) were randomly exposed to IPC in the legs (3 × 5 min at 220 mmHg) or control (CT; 3 × 5 min at 20 mmHg) 48 h, 24 h, and 35 min before performing 3 sets of 6 shuttle running sprints (15 + 15 m with 180° change of direction and 20 s of active recovery). Sets 1 and 2 were followed by 180 s and set 3 by 360 s of inactive recovery. Short-term HRR was analyzed after all sets via linear regression of HR decay within the first 30 s of recovery (T30) and delta from peak HR to 60 s of recovery (HRR60s). Long-term HRR was analyzed throughout recovery from set 3 via first-order exponential regression of HR decay. Moreover, RMSSD was calculated using 30-s data segments throughout recovery from set 3. Energy metabolism responses were inferred via peak pulmonary oxygen uptake (V˙O2peak), peak carbon dioxide output (V˙O2peak), peak respiratory exchange ratio (RERpeak), first-order exponential regression of V˙O2 decay within 360 s of recovery and blood lactate concentration ([Lac-]). IPC did not change T30, but increased HRR60s after all sets (condition main effect: P = 0.03; partial eta square (η2p) = 0.27, i.e., large effect size). IPC did not change long-term HRR and RMSSD throughout recovery, nor did IPC change any energy metabolism parameter. In conclusion, IPC accelerated to some extent the short-term recovery, but did not change the long-term recovery of cardiac autonomic control from RSE, and such accelerator effect was not accompanied by any IPC effect on surrogates of energy metabolism responses to RSE.
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Affiliation(s)
- Thiago R Lopes
- Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.,Laboratory of Exercise Physiology, Olympic Center of Training and Research, São Paulo, Brazil.,São Paulo Association for Medicine Development, São Paulo, Brazil.,Postgraduate Program in Translational Medicine, Federal University of São Paulo, São Paulo, Brazil
| | - Jeann L Sabino-Carvalho
- Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.,Postgraduate Program in Translational Medicine, Federal University of São Paulo, São Paulo, Brazil
| | - Thiago H N Ferreira
- Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.,Postgraduate Program in Translational Medicine, Federal University of São Paulo, São Paulo, Brazil
| | - José E Succi
- Department of Surgery, Federal University of São Paulo, São Paulo, Brazil
| | - Antônio C Silva
- Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.,Laboratory of Exercise Physiology, Olympic Center of Training and Research, São Paulo, Brazil
| | - Bruno M Silva
- Department of Physiology, Federal University of São Paulo, São Paulo, Brazil.,Laboratory of Exercise Physiology, Olympic Center of Training and Research, São Paulo, Brazil.,Postgraduate Program in Translational Medicine, Federal University of São Paulo, São Paulo, Brazil
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