Agreement between the Heart Rate Variability Threshold and Ventilatory Threshold in Young Women: Impact of Cardiac Parasympathetic Status and Cardiorespiratory Fitness

Author(s):  
Carlos Janssen Gomes da Cruz ◽  
Luiz Guilherme Grossi Porto ◽  
Guilherme Eckhardt Molina
2020 ◽  
Vol 34 (4) ◽  
pp. 555-566
Author(s):  
Lúcio Flávio Soares-Caldeira ◽  
Carla Cristiane da Silva ◽  
Priscila Chierotti ◽  
Nicolle de Souza Dias ◽  
Fábio Yuzo Nakamura

The aims of this study were to verify the correspondence between heart rate variability (HRV) and ventilatory thresholds during a progressive exercise test and the relationship with low and high aerobic fitness levels. Twenty male volunteers (29.5±6.2 years; 75.9±13.0 kg; 175.0±7.4 cm) were recruited. The subjects were allocated to two groups according to their VO2max <48.8 ml•kg−1•min−1 (low cardiorespiratory fitness group) (n=10) and >48.81 ml•kg−1•min−1 (high cardiorespiratory fitness group) (n=10). A progressive test was performed, consisting of 3-min stages beginning at 25 watts and increasing by 25 watts every 3-min. The HRV threshold (HRVT) and ventilatory threshold (VT) analyses were performed through visual inspection. The comparisons with RMSSD values in percentage of maximum workload resulted in a higher effect size (ES) than the SDNN values. The VO2 in the high cardiorespiratory fitness group at VT (+32%), HRVTRMSSD (+27%), and HRVTSDNN (+31%) was signifi cantly higher compared to the group with low cardiorespiratory fitness. Higher values were observed for relative load (W•kg-1) at VT and HRVTSDNN in the high cardiorespiratory fitness group in comparison with the low cardiorespiratory fitness group (P<0.05), but no difference for VT and HRVTRMSSD. Signifi cant correlations between at VT and HRVTSDNN (r=0.77) were found only in the low cardiorespiratory fitness group. Cardiorespiratory fitness should be regarded as a factor for HRVT evaluation. The HRVTSDNN was closer to the VT in the low cardiorespiratory fitness group than the HRVTRMSSD, however, the use of vagal modulation assessed using the HRV parameter was more sensitive to observe possible differences regarding cardiorespiratory fitness.


2020 ◽  
Vol 34 (4) ◽  
pp. 555-566
Author(s):  
Lúcio Flávio Soares-Caldeira ◽  
Carla Cristiane da Silva ◽  
Priscila Chierotti ◽  
Nicolle de Souza Dias ◽  
Fábio Yuzo Nakamura

The aims of this study were to verify the correspondence between heart rate variability (HRV) and ventilatory thresholds during a progressive exercise test and the relationship with low and high aerobic fitness levels. Twenty male volunteers (29.5±6.2 years; 75.9±13.0 kg; 175.0±7.4 cm) were recruited. The subjects were allocated to two groups according to their VO2max <48.8 ml•kg−1•min−1 (low cardiorespiratory fitness group) (n=10) and >48.81 ml•kg−1•min−1 (high cardiorespiratory fitness group) (n=10). A progressive test was performed, consisting of 3-min stages beginning at 25 watts and increasing by 25 watts every 3-min. The HRV threshold (HRVT) and ventilatory threshold (VT) analyses were performed through visual inspection. The comparisons with RMSSD values in percentage of maximum workload resulted in a higher effect size (ES) than the SDNN values. The VO2 in the high cardiorespiratory fitness group at VT (+32%), HRVTRMSSD (+27%), and HRVTSDNN (+31%) was signifi cantly higher compared to the group with low cardiorespiratory fitness. Higher values were observed for relative load (W•kg-1) at VT and HRVTSDNN in the high cardiorespiratory fitness group in comparison with the low cardiorespiratory fitness group (P<0.05), but no difference for VT and HRVTRMSSD. Signifi cant correlations between at VT and HRVTSDNN (r=0.77) were found only in the low cardiorespiratory fitness group. Cardiorespiratory fitness should be regarded as a factor for HRVT evaluation. The HRVTSDNN was closer to the VT in the low cardiorespiratory fitness group than the HRVTRMSSD, however, the use of vagal modulation assessed using the HRV parameter was more sensitive to observe possible differences regarding cardiorespiratory fitness.


2006 ◽  
Vol 11 (4) ◽  
pp. 306-312 ◽  
Author(s):  
Aylin Yildirir ◽  
Funda Aybar ◽  
Giray Kabakci ◽  
Hakan Yarali ◽  
Ali Oto

2018 ◽  
Vol 6 (18) ◽  
pp. e13873 ◽  
Author(s):  
José Robertto Zaffalon Júnior ◽  
Ariane Oliveira Viana ◽  
Gileno Edu Lameira de Melo ◽  
Kátia De Angelis

Author(s):  
Yasuyuki Shiraishi ◽  
Yoshinori Katsumata ◽  
Taketaro Sadahiro ◽  
Koichiro Azuma ◽  
Keitaro Akita ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Abel Plaza-Florido ◽  
Jairo H. Migueles ◽  
Jose Mora-Gonzalez ◽  
Pablo Molina-Garcia ◽  
Maria Rodriguez-Ayllon ◽  
...  

2009 ◽  
Vol 41 ◽  
pp. 152
Author(s):  
Anita T. Cote ◽  
Shannon SD Bredin ◽  
Shirley C. Wong ◽  
Darren ER Warburton

2014 ◽  
Vol 9 (4) ◽  
pp. 695-701 ◽  
Author(s):  
Laurent Mourot ◽  
Nicolas Fabre ◽  
Aldo Savoldelli ◽  
Federico Schena

To determine the most accurate method based on spectral analysis of heart-rate variability (SA-HRV) during an incremental and continuous maximal test involving the upper body, the authors tested 4 different methods to obtain the heart rate (HR) at the second ventilatory threshold (VT2). Sixteen ski mountaineers (mean ± SD; age 25 ± 3 y, height 177 ± 8 cm, mass 69 ± 10 kg) performed a roller-ski test on a treadmill. Respiratory variables and HR were continuously recorded, and the 4 SA-HRV methods were compared with the gas-exchange method through Bland and Altman analyses. The best method was the one based on a time-varying spectral analysis with high frequency ranging from 0.15 Hz to a cutoff point relative to the individual’s respiratory sinus arrhythmia. The HR values were significantly correlated (r2 = .903), with a mean HR difference with the respiratory method of 0.1 ± 3.0 beats/min and low limits of agreements (around –6/+6 beats/min). The 3 other methods led to larger errors and lower agreements (up to 5 beats/min and around –23/+20 beats/min). It is possible to accurately determine VT2 with an HR monitor during an incremental test involving the upper body if the appropriate HRV method is used.


2015 ◽  
Vol 52 (11) ◽  
pp. 1451-1455 ◽  
Author(s):  
André L. Teixeira ◽  
Plínio S. Ramos ◽  
Lauro C. Vianna ◽  
Djalma R. Ricardo

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