Associations Between Heart Rate Variability-Derived Indexes and Training Load: Repeated Measures Correlation Approach Contribution

Bibliografiske detaljer
Parent link:Journal of Strength and Conditioning Research
Vol. 36, iss. 7.— 2022.— [P. 2005-2010]
Institution som forfatter: Национальный исследовательский Томский политехнический университет Школа базовой инженерной подготовки Отделение физической культуры
Andre forfattere: Davletjyarova K. V. Kseniya Valentinovna, Vacher Ph. Philippe, Nicolas M. Michel, Kapilevich L. V. Leonid Vladimirovich, Mourot L. Laurent
Summary:Title screen
This study aimed to evaluate whether similar associations between indexes derived from heart rate variability (HRV) analyses and training load (TL) could be obtained by using the commonly used Pearson correlation technique and the repeated measures correlation (rmcorr). Fourteen well-trained swimmers (18.5 ± 1.6 years) participated. The training period lasted 4 weeks with a gradual increase in TL. Daily external TL (exTL) and internal TL (inTL) were summed to obtain a weekly TL, and HRV analyses were performed every Saturday morning. During the 4-week period, exTL and inTL increased (p < 0.05) together with a decrease (p < 0.05) in heart rate and an increase (p < 0.05) of cardiac parasympathetic indexes. No significant correlation was found using Pearson correlation while significant associations were found using rmcorr; considering exTL, positive (mean R-R interval [MeanRR], root mean square of differences between successive RR interval [RMSSD], low frequency [LF], high frequency [HF], instantaneous beat-to-beat variability [SD1], continuous beat-to-beat variability [SD2], SD1/SD2; r from 0.59 to 0.46, p value from <0.001 to 0.002) and negative (mean heart rate [meanHR]; r = −0.55, p < 0.001) associations were found. Considering inTL, positive (MeanRR, RMSSD, LF, HF, HFnu, SD1, SD2, SD1/SD2; r from 0.56 to 0.34, p-value from <0.001 to 0.025) and negative (meanHR, LFnu, LF/HF; r from −0.49 to −0.34, p value from 0.001 to 0.025) associations were found. The rmcorr statistical method was able to show associations between parasympathetic indexes and TL contrary to Pearson correlation analysis. Because rmcorr is specifically designed to investigate within-individual association for paired measures assessed on 2 or more occasions for multiple individuals, it should constitute a tool for future training monitoring researches based on a repeated-measures protocol.
Sprog:engelsk
Udgivet: 2022
Fag:
Online adgang:https://doi.org/10.1519/JSC.0000000000003760
Format: Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669644

MARC

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200 1 |a Associations Between Heart Rate Variability-Derived Indexes and Training Load: Repeated Measures Correlation Approach Contribution  |f K. V. Davletjyarova, Ph. Vacher, M. Nicolas [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
330 |a This study aimed to evaluate whether similar associations between indexes derived from heart rate variability (HRV) analyses and training load (TL) could be obtained by using the commonly used Pearson correlation technique and the repeated measures correlation (rmcorr). Fourteen well-trained swimmers (18.5 ± 1.6 years) participated. The training period lasted 4 weeks with a gradual increase in TL. Daily external TL (exTL) and internal TL (inTL) were summed to obtain a weekly TL, and HRV analyses were performed every Saturday morning. During the 4-week period, exTL and inTL increased (p < 0.05) together with a decrease (p < 0.05) in heart rate and an increase (p < 0.05) of cardiac parasympathetic indexes. No significant correlation was found using Pearson correlation while significant associations were found using rmcorr; considering exTL, positive (mean R-R interval [MeanRR], root mean square of differences between successive RR interval [RMSSD], low frequency [LF], high frequency [HF], instantaneous beat-to-beat variability [SD1], continuous beat-to-beat variability [SD2], SD1/SD2; r from 0.59 to 0.46, p value from <0.001 to 0.002) and negative (mean heart rate [meanHR]; r = −0.55, p < 0.001) associations were found. Considering inTL, positive (MeanRR, RMSSD, LF, HF, HFnu, SD1, SD2, SD1/SD2; r from 0.56 to 0.34, p-value from <0.001 to 0.025) and negative (meanHR, LFnu, LF/HF; r from −0.49 to −0.34, p value from 0.001 to 0.025) associations were found. The rmcorr statistical method was able to show associations between parasympathetic indexes and TL contrary to Pearson correlation analysis. Because rmcorr is specifically designed to investigate within-individual association for paired measures assessed on 2 or more occasions for multiple individuals, it should constitute a tool for future training monitoring researches based on a repeated-measures protocol. 
461 |t Journal of Strength and Conditioning Research 
463 |t Vol. 36, iss. 7  |v [P. 2005-2010]  |d 2022 
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701 1 |a Davletjyarova  |b K. V.  |c specialist in the field of physical culture and sports  |c Professor of Tomsk Polytechnic University, Doctor of Medical Sciences  |f 1982-  |g Kseniya Valentinovna  |3 (RuTPU)RU\TPU\pers\36376  |9 19447 
701 1 |a Vacher  |b Ph.  |g Philippe 
701 1 |a Nicolas  |b M.  |g Michel 
701 1 |a Kapilevich  |b L. V.  |c specialist in the field of physical culture and sports  |c Professor of Tomsk Polytechnic University, Doctor of medical sciences  |f 1963-  |g Leonid Vladimirovich  |3 (RuTPU)RU\TPU\pers\33522  |9 17190 
701 1 |a Mourot  |b L.  |c specialist in the field of physical training and sports  |c Senior Researcher of Tomsk Polytechnic University, Candidate of philological sciences  |f 1977-  |g Laurent  |3 (RuTPU)RU\TPU\pers\41001 
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