Training Load, Heart Rate Variability, Direct Current Potential and Elite Long Jump Performance Prior and during the 2016 Olympic Games.
- Publisher:
- University of Uludag
- Publication Type:
- Journal Article
- Citation:
- Journal of Sports Science and Medicine, 2021, 20, (3), pp. 482-491
- Issue Date:
- 2021-09
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Coyne, J | |
dc.contributor.author |
Coutts, A https://orcid.org/0000-0002-1782-7691 |
|
dc.contributor.author | Newton, R | |
dc.contributor.author | Haff, GG | |
dc.date.accessioned | 2021-11-18T02:48:44Z | |
dc.date.available | 2021-05-28 | |
dc.date.available | 2021-11-18T02:48:44Z | |
dc.date.issued | 2021-09 | |
dc.identifier.citation | Journal of Sports Science and Medicine, 2021, 20, (3), pp. 482-491 | |
dc.identifier.issn | 1303-2968 | |
dc.identifier.issn | 1303-2968 | |
dc.identifier.uri | http://hdl.handle.net/10453/151697 | |
dc.description.abstract | The primary objective of this investigation was to investigate the relationships between training load (TL), heart rate variability (HRV) and direct current potential (DC) with elite long jump performance prior to and during the 2016 Olympics Games. Sessional ratings of perceived exertion (sRPE), training duration, HRV and DC were collected from four elite athletes (26.4 ± 1.4 years, height 1.83 ± 0.05 m, weight 68.9 ± 5.0 kg) for a 16-week period in qualification for and competition at the 2016 Olympic Games. Acute and chronic TL, training stress balance and differential load were calculated with three different smoothing methods. These TL measures along with HRV and DC were examined for their relationship to intra-athlete performance using repeated measure correlations and linear mixed models. Successful compared to unsuccessful intra-athlete performances were characterised by a higher chronic TL (<i>p</i> < 0.01, <i>f<sup>2</sup></i> = 0.31) but only when TL was exponentially smoothed. There were also negative correlations between HRV and performance (<i>r</i> = -0.55, <i>p</i> < 0.01) and HRV was significantly lower for more successful performances (<i>p</i> < 0.01, <i>f<sup>2</sup></i> = 0.19). Exponentially smoothed chronic TL was significantly higher and HRV was significantly lower for successful intra-athlete performances prior and during the 2016 Olympics Games in an elite group of long jump athletes. Monitoring sRPE and HRV measures and manipulating TL prior to competition seems worthwhile for elite long jump athletes. | |
dc.format | Electronic-eCollection | |
dc.language | eng | |
dc.publisher | University of Uludag | |
dc.relation.ispartof | Journal of Sports Science and Medicine | |
dc.relation.isbasedon | 10.52082/jssm.2021.482 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0913 Mechanical Engineering, 1106 Human Movement and Sports Sciences, 1701 Psychology | |
dc.subject.classification | Sport Sciences | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Athletic Performance | |
dc.subject.mesh | Competitive Behavior | |
dc.subject.mesh | Heart Rate | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Perception | |
dc.subject.mesh | Physical Conditioning, Human | |
dc.subject.mesh | Physical Exertion | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Track and Field | |
dc.subject.mesh | Young Adult | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Competitive Behavior | |
dc.subject.mesh | Perception | |
dc.subject.mesh | Heart Rate | |
dc.subject.mesh | Track and Field | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Male | |
dc.subject.mesh | Athletic Performance | |
dc.subject.mesh | Physical Exertion | |
dc.subject.mesh | Young Adult | |
dc.subject.mesh | Physical Conditioning, Human | |
dc.subject.mesh | Adult | |
dc.subject.mesh | Athletic Performance | |
dc.subject.mesh | Competitive Behavior | |
dc.subject.mesh | Heart Rate | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Male | |
dc.subject.mesh | Perception | |
dc.subject.mesh | Physical Conditioning, Human | |
dc.subject.mesh | Physical Exertion | |
dc.subject.mesh | Retrospective Studies | |
dc.subject.mesh | Track and Field | |
dc.subject.mesh | Young Adult | |
dc.title | Training Load, Heart Rate Variability, Direct Current Potential and Elite Long Jump Performance Prior and during the 2016 Olympic Games. | |
dc.type | Journal Article | |
utslib.citation.volume | 20 | |
utslib.location.activity | Turkey | |
utslib.for | 0913 Mechanical Engineering | |
utslib.for | 1106 Human Movement and Sports Sciences | |
utslib.for | 1701 Psychology | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Strength - CHSP - Health Services and Practice | |
pubs.organisational-group | /University of Technology Sydney/Strength - CHT - Health Technologies | |
pubs.organisational-group | /University of Technology Sydney/Centre for Health Technologies (CHT) | |
utslib.copyright.status | open_access | * |
pubs.consider-herdc | false | |
dc.date.updated | 2021-11-18T02:48:42Z | |
pubs.issue | 3 | |
pubs.publication-status | Published | |
pubs.volume | 20 | |
utslib.citation.issue | 3 |
Abstract:
The primary objective of this investigation was to investigate the relationships between training load (TL), heart rate variability (HRV) and direct current potential (DC) with elite long jump performance prior to and during the 2016 Olympics Games. Sessional ratings of perceived exertion (sRPE), training duration, HRV and DC were collected from four elite athletes (26.4 ± 1.4 years, height 1.83 ± 0.05 m, weight 68.9 ± 5.0 kg) for a 16-week period in qualification for and competition at the 2016 Olympic Games. Acute and chronic TL, training stress balance and differential load were calculated with three different smoothing methods. These TL measures along with HRV and DC were examined for their relationship to intra-athlete performance using repeated measure correlations and linear mixed models. Successful compared to unsuccessful intra-athlete performances were characterised by a higher chronic TL (p < 0.01, f2 = 0.31) but only when TL was exponentially smoothed. There were also negative correlations between HRV and performance (r = -0.55, p < 0.01) and HRV was significantly lower for more successful performances (p < 0.01, f2 = 0.19). Exponentially smoothed chronic TL was significantly higher and HRV was significantly lower for successful intra-athlete performances prior and during the 2016 Olympics Games in an elite group of long jump athletes. Monitoring sRPE and HRV measures and manipulating TL prior to competition seems worthwhile for elite long jump athletes.
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