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


Journal

Journal of strength and conditioning research
ISSN: 1533-4287
Titre abrégé: J Strength Cond Res
Pays: United States
ID NLM: 9415084

Informations de publication

Date de publication:
01 Jul 2022
Historique:
pubmed: 4 9 2020
medline: 24 6 2022
entrez: 4 9 2020
Statut: ppublish

Résumé

Davletyarova, K, Vacher, P, Nicolas, M, Kapilevich, LV, and Mourot, L. Associations between heart rate variability-derived indexes and training load: repeated measures correlation approach contribution. J Strength Cond Res 36(7): 2005-2010, 2022-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.

Identifiants

pubmed: 32881836
pii: 00124278-202207000-00036
doi: 10.1519/JSC.0000000000003760
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2005-2010

Informations de copyright

Copyright © 2020 National Strength and Conditioning Association.

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Auteurs

Ksenya Davletyarova (K)

National Research Tomsk Polytechnic University, Tomsk, Russia.

Philippe Vacher (P)

Laboratory Psy-DREPI, EA7458, Univ, Bourgogne Franche-Comté, France.

Michel Nicolas (M)

Laboratory Psy-DREPI, EA7458, Univ, Bourgogne Franche-Comté, France.

Leonid V Kapilevich (LV)

National Research Tomsk Polytechnic University, Tomsk, Russia.
National Research Tomsk State University, Tomsk, Russia.
Siberian State Medical University, Tomsk, Russia; and.

Laurent Mourot (L)

National Research Tomsk Polytechnic University, Tomsk, Russia.
EA3920 Prognostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) Platform, University of Bourgogne Franche-Comté, Besançon, France.

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