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Predicting middle-distance track and cross-country performances of national and international level adolescent runners

Alex Bliss Orcid Logo, Mark Waldron Orcid Logo, Neil Maxwell Orcid Logo

European Journal of Sport Science, Volume: 22, Issue: 3, Pages: 305 - 313

Swansea University Author: Mark Waldron Orcid Logo

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DOI (Published version): 10.1080/17461391.2020.1867650

Abstract

This study evaluated the contribution of physiological data collected during laboratory testing in predicting race performances of trained junior middle-distance track (TK) and cross-country (XC) athletes. Participants performed a submaximal incremental ramp test, followed by an incremental test to...

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Published in: European Journal of Sport Science
ISSN: 1746-1391 1536-7290
Published: Informa UK Limited 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa55892
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spelling 2022-05-16T12:53:36.4886343 v2 55892 2020-12-15 Predicting middle-distance track and cross-country performances of national and international level adolescent runners 70db7c6c54d46f5e70b39e5ae0a056fa 0000-0002-2720-4615 Mark Waldron Mark Waldron true false 2020-12-15 STSC This study evaluated the contribution of physiological data collected during laboratory testing in predicting race performances of trained junior middle-distance track (TK) and cross-country (XC) athletes. Participants performed a submaximal incremental ramp test, followed by an incremental test to exhaustion in a laboratory, with the results used to predict either 800 m TK, 1500 m TK or 4000–6000 m XC race performance. Twenty-eight participants (male (M), 15; female (F), 13) were analysed (age = 17 ± 2 years, height = 1.72 ± 0.08 m, body mass = 58.9 ± 8.9 kg). Performance times (min:s) for 800 m were: M, 1:56.55 ± 0:05.55 and F, 2:14.21 ± 0:03.89; 1500 m: M, 3:51.98 ± 0:07.35 and F 4:36.71 ± 0:16.58; XC: M (4900 ± 741 m), 16:00 ± 01:53; F (4628 ± 670 m), 17:41 ± 02:09. Stepwise regression analysis indicated significant contributions of speed at V̇O2max (V̇O2max), and heart rate maximum (HRmax) to the prediction of 800 m TK (F(2,15) = 22.51, p < 0.001, adjusted R 2= 0.72), V̇O2max for 1500 m TK (F(1,13) = 36.65, p < 0.001, adjusted R 2= 0.72) and V̇O2max, allometrically scaled to body mass and speed at lactate threshold (sLT) for XC (F(2,17) = 25.1, p < 0.001, adjusted R 2= 0.72). Laboratory-based physiological measures can explain 72% of the variance in junior TK and XC events, although factors that explain performance alter depending on the race distance and tactics. The factors determining performance in TK and XC events are not interchangeable. Journal Article European Journal of Sport Science 22 3 305 313 Informa UK Limited 1746-1391 1536-7290 Endurance; running; physiology; junior; regression; performance modelling 4 3 2022 2022-03-04 10.1080/17461391.2020.1867650 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2022-05-16T12:53:36.4886343 2020-12-15T11:56:57.1703639 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Alex Bliss 0000-0001-8330-2319 1 Mark Waldron 0000-0002-2720-4615 2 Neil Maxwell 0000-0002-0684-404x 3 55892__18888__0384de3f97a44f15a3e00cedaf9e6a72.pdf 55892.pdf 2020-12-15T11:58:53.1774449 Output 293291 application/pdf Accepted Manuscript true 2022-01-18T00:00:00.0000000 true eng
title Predicting middle-distance track and cross-country performances of national and international level adolescent runners
spellingShingle Predicting middle-distance track and cross-country performances of national and international level adolescent runners
Mark Waldron
title_short Predicting middle-distance track and cross-country performances of national and international level adolescent runners
title_full Predicting middle-distance track and cross-country performances of national and international level adolescent runners
title_fullStr Predicting middle-distance track and cross-country performances of national and international level adolescent runners
title_full_unstemmed Predicting middle-distance track and cross-country performances of national and international level adolescent runners
title_sort Predicting middle-distance track and cross-country performances of national and international level adolescent runners
author_id_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa
author_id_fullname_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa_***_Mark Waldron
author Mark Waldron
author2 Alex Bliss
Mark Waldron
Neil Maxwell
format Journal article
container_title European Journal of Sport Science
container_volume 22
container_issue 3
container_start_page 305
publishDate 2022
institution Swansea University
issn 1746-1391
1536-7290
doi_str_mv 10.1080/17461391.2020.1867650
publisher Informa UK Limited
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description This study evaluated the contribution of physiological data collected during laboratory testing in predicting race performances of trained junior middle-distance track (TK) and cross-country (XC) athletes. Participants performed a submaximal incremental ramp test, followed by an incremental test to exhaustion in a laboratory, with the results used to predict either 800 m TK, 1500 m TK or 4000–6000 m XC race performance. Twenty-eight participants (male (M), 15; female (F), 13) were analysed (age = 17 ± 2 years, height = 1.72 ± 0.08 m, body mass = 58.9 ± 8.9 kg). Performance times (min:s) for 800 m were: M, 1:56.55 ± 0:05.55 and F, 2:14.21 ± 0:03.89; 1500 m: M, 3:51.98 ± 0:07.35 and F 4:36.71 ± 0:16.58; XC: M (4900 ± 741 m), 16:00 ± 01:53; F (4628 ± 670 m), 17:41 ± 02:09. Stepwise regression analysis indicated significant contributions of speed at V̇O2max (V̇O2max), and heart rate maximum (HRmax) to the prediction of 800 m TK (F(2,15) = 22.51, p < 0.001, adjusted R 2= 0.72), V̇O2max for 1500 m TK (F(1,13) = 36.65, p < 0.001, adjusted R 2= 0.72) and V̇O2max, allometrically scaled to body mass and speed at lactate threshold (sLT) for XC (F(2,17) = 25.1, p < 0.001, adjusted R 2= 0.72). Laboratory-based physiological measures can explain 72% of the variance in junior TK and XC events, although factors that explain performance alter depending on the race distance and tactics. The factors determining performance in TK and XC events are not interchangeable.
published_date 2022-03-04T04:10:26Z
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score 11.035634

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