Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events
We aimed to compare differences in performance and pacing variability indices between 5000 m heats and finals during major championships in men and women. Data with 100 m time resolution were used to compare overall pacing variability (standard deviation of 100 m section times, SD; and coefficient o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Journal of Functional Morphology and Kinesiology |
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| Online Access: | https://www.mdpi.com/2411-5142/8/2/86 |
| _version_ | 1797594053521440768 |
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| author | Daniel Boullosa Eliésdras Patrocínio Andrew Renfree Arturo Casado Brian Hanley Carl Foster |
| author_facet | Daniel Boullosa Eliésdras Patrocínio Andrew Renfree Arturo Casado Brian Hanley Carl Foster |
| author_sort | Daniel Boullosa |
| collection | DOAJ |
| description | We aimed to compare differences in performance and pacing variability indices between 5000 m heats and finals during major championships in men and women. Data with 100 m time resolution were used to compare overall pacing variability (standard deviation of 100 m section times, SD; and coefficient of variation, CV%) and short-term pacing variability (root mean square of successive differences between 100 m section times, RMSSD). The changes in performance and pacing indices differed between races and competitions. For instance, the men’s final in Beijing 2008 was quicker than the heat (<i>p</i> < 0.01) while the CV% was reduced (<i>p</i> = 0.03) and RMSSD increased (<i>p</i> < 0.01). For women, the heats and the final exhibited a similar mean time in London 2017 (<i>p</i> = 0.33) but with CV% (<i>p</i> < 0.001) and RMSSD (<i>p</i> < 0.001) showing opposite trends. Individual analyses of men’s and women’s champions revealed highly individual variability metrics. The use of RMSSD can complement overall variability indices for better characterization of pacing stochasticity. |
| first_indexed | 2024-03-11T02:17:13Z |
| format | Article |
| id | doaj.art-45e7a1ead40c4c148ab6189739ce7e59 |
| institution | Directory Open Access Journal |
| issn | 2411-5142 |
| language | English |
| last_indexed | 2024-03-11T02:17:13Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Functional Morphology and Kinesiology |
| spelling | doaj.art-45e7a1ead40c4c148ab6189739ce7e592023-11-18T11:04:16ZengMDPI AGJournal of Functional Morphology and Kinesiology2411-51422023-06-01828610.3390/jfmk8020086Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running EventsDaniel Boullosa0Eliésdras Patrocínio1Andrew Renfree2Arturo Casado3Brian Hanley4Carl Foster5Faculty of Physical Activity and Sports Sciences, Universidad de León, 24007 León, SpainGraduate Program in Movement Sciences, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, BrazilInstitute of Sport and Exercise Science, University of Worcester, Worcester WR2 6AJ, UKCentre for Sport Studies, Rey Juan Carlos University, 28933 Madrid, SpainCarnegie School of Sport, Leeds Beckett University, Leeds LS6 3QS, UKDepartment of Exercise and Sports Science, University of Wisconsin-La Crosse, La Crosse, WI 54601, USAWe aimed to compare differences in performance and pacing variability indices between 5000 m heats and finals during major championships in men and women. Data with 100 m time resolution were used to compare overall pacing variability (standard deviation of 100 m section times, SD; and coefficient of variation, CV%) and short-term pacing variability (root mean square of successive differences between 100 m section times, RMSSD). The changes in performance and pacing indices differed between races and competitions. For instance, the men’s final in Beijing 2008 was quicker than the heat (<i>p</i> < 0.01) while the CV% was reduced (<i>p</i> = 0.03) and RMSSD increased (<i>p</i> < 0.01). For women, the heats and the final exhibited a similar mean time in London 2017 (<i>p</i> = 0.33) but with CV% (<i>p</i> < 0.001) and RMSSD (<i>p</i> < 0.001) showing opposite trends. Individual analyses of men’s and women’s champions revealed highly individual variability metrics. The use of RMSSD can complement overall variability indices for better characterization of pacing stochasticity.https://www.mdpi.com/2411-5142/8/2/86aerobic enduranceaerobic performanceendurance runningathletics |
| spellingShingle | Daniel Boullosa Eliésdras Patrocínio Andrew Renfree Arturo Casado Brian Hanley Carl Foster Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events Journal of Functional Morphology and Kinesiology aerobic endurance aerobic performance endurance running athletics |
| title | Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events |
| title_full | Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events |
| title_fullStr | Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events |
| title_full_unstemmed | Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events |
| title_short | Short-Term Speed Variability as an Index of Pacing Stochasticity in Athletic Running Events |
| title_sort | short term speed variability as an index of pacing stochasticity in athletic running events |
| topic | aerobic endurance aerobic performance endurance running athletics |
| url | https://www.mdpi.com/2411-5142/8/2/86 |
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