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| 005 | 20231030042229.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\40896 | ||
| 035 | _aRU\TPU\network\37352 | ||
| 090 | _a669644 | ||
| 100 | _a20230713a2022 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aAssociations Between Heart Rate Variability-Derived Indexes and Training Load: Repeated Measures Correlation Approach Contribution _fK. V. Davletjyarova, Ph. Vacher, M. Nicolas [et al.] |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 330 | _aThis 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 | _tJournal of Strength and Conditioning Research | ||
| 463 |
_tVol. 36, iss. 7 _v[P. 2005-2010] _d2022 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _amultiple correlation method | |
| 610 | 1 | _astatistic | |
| 610 | 1 | _atraining monitoring | |
| 610 | 1 | _aathletes | |
| 610 | 1 | _aкорреляции | |
| 610 | 1 | _aстатистика | |
| 610 | 1 | _aмониторинг | |
| 610 | 1 | _aтренировки | |
| 610 | 1 | _aспортсмены | |
| 701 | 1 |
_aDavletjyarova _bK. V. _cspecialist in the field of physical culture and sports _cProfessor of Tomsk Polytechnic University, Doctor of Medical Sciences _f1982- _gKseniya Valentinovna _2stltpush _3(RuTPU)RU\TPU\pers\36376 |
|
| 701 | 1 |
_aVacher _bPh. _gPhilippe |
|
| 701 | 1 |
_aNicolas _bM. _gMichel |
|
| 701 | 1 |
_aKapilevich _bL. V. _cspecialist in the field of physical culture and sports _cProfessor of Tomsk Polytechnic University, Doctor of medical sciences _f1963- _gLeonid Vladimirovich _2stltpush _3(RuTPU)RU\TPU\pers\33522 |
|
| 701 | 1 |
_aMourot _bL. _cspecialist in the field of physical training and sports _cSenior Researcher of Tomsk Polytechnic University, Candidate of philological sciences _f1977- _gLaurent _2stltpush _3(RuTPU)RU\TPU\pers\41001 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bШкола базовой инженерной подготовки _bОтделение физической культуры _h8034 _2stltpush _3(RuTPU)RU\TPU\col\23545 |
| 801 | 2 |
_aRU _b63413507 _c20230713 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1519/JSC.0000000000003760 | |
| 942 | _cCF | ||