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Performance and micro-pacing strategies in sit para-biathlon
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). Univ Aix Marseille, Fac Sport Sci, Marseille, France. (Swedish Winter Sports Res Ctr)
Norwegian Univ Sci & Technol, Ctr Elite Sports Res, Dept Neuromed & Movement Sci, Trondheim, Norway..
Norwegian Univ Sci & Technol, Ctr Elite Sports Res, Dept Neuromed & Movement Sci, Trondheim, Norway..
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). GIH. (Swedish Winter Sports Res Ctr)ORCID iD: 0000-0001-5317-2779
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2023 (English)In: Journal of Sports Sciences, ISSN 0264-0414, E-ISSN 1466-447X, Vol. 41, no 7, p. 646-653Article in journal (Refereed) Published
Abstract [en]

This study investigated micro-pacing strategies during sit para-biathlon. Six elite sit para-biathletes wore a positioning system device during the world-championships in three different competition formats (Sprint, Middle-distance, and Long-distance). Total Skiing Time (TST), penalty-time, shooting-time, and Total Race Time (TRT) were analysed. One-way analyses of variance were used to compare the relative contributions of TST, penalty-time, and shooting-time to TRT across the three race formats. Statistical parametric mapping (SPM) was used to determine the course positions (clusters) where instantaneous skiing speed was significantly associated with TST. The contribution of TST to TRT was lower for the Long-distance (80 & PLUSMN; 6%) compared to the Sprint (86 & PLUSMN; 5%) and Middle-distance (86 & PLUSMN; 3%) races, however this difference was not statistically significant (p > 0.05). The proportional contribution of penalty-time to TRT was significantly greater (p < 0.05) for the Long-distance (13 & PLUSMN; 6%) compared to the Sprint (5 & PLUSMN; 4%) and Middle-distance (4 & PLUSMN; 3%) races. Statistical parametric mapping (SPM) revealed specific clusters where instantaneous skiing speed was significantly associated with TST. For example, over all laps during the Long-distance race, the fastest athlete gained 6.5 s over the slowest athlete in the section with the steepest uphill. Overall, these findings can provide insights into pacing strategies and help para-biathlon coaches and athletes optimise training programmes to improve performance.

Place, publisher, year, edition, pages
Informa UK Limited , 2023. Vol. 41, no 7, p. 646-653
Keywords [en]
GNSS, para sport, para skiing, statistical parametric mapping, tactics
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:miun:diva-49033DOI: 10.1080/02640414.2023.2231770ISI: 001020022100001PubMedID: 37401676Scopus ID: 2-s2.0-85164492682OAI: oai:DiVA.org:miun-49033DiVA, id: diva2:1787973
Available from: 2023-08-15 Created: 2023-08-15 Last updated: 2025-02-11Bibliographically approved

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Rispal, GauthierLund Ohlsson, MarieStaunton, Craig A.

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