Associations between heart rate variability–derived indexes and training load: Repeated measures correlation approach contribution

doi:10.1519/JSC.0000000000003760

Эндаумент фонд ТГУ!
Впиши своё имя в историю университета
- Сделать пожертвование -

Add to "Quick Collection"

Description	Size	Format
Associations between heart rate variability–derived indexes and training load: Repeated measures correlation approach contribution	298 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1519/JSC.0000000000003760

#метод множественной корреляции

#спортсмены

#тренировочная нагрузка

#вариабельность сердечного ритма

Title: Associations between heart rate variability–derived indexes and training load: Repeated measures correlation approach contribution
Creator: Davletyarova, Ksenya V.
|
Vacher, Philippe
|
Nicolas, Michel
|
Kapilevich, Leonid V.
|
Laurent, Mourot
Date: 2022
DOI: 10.1519/JSC.0000000000003760
Description: Associations between heart rate variability–derived indexes and training load: repeated measures correlation approach contribution. J Strength Cond Res XX(X): 000–000, 2020—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 6 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 rateand 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 5 20.55, 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 20.49 to 20.34, 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.

Relationships: Show Relationship Browser for this Object
collection(s): Факультет физической культуры
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: Journal of strength and conditioning research. 2022. Vol. 36, № 7. P. 2005-2010
Language: eng

Created: 10-02-2023

1073 Visitors

806 Hits

279 Downloads

Факультет физической культуры Associations between heart rate variability–derived indexes and training load: Repeated measures correlation approach contribution