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      Performance and Micro-Pacing Strategies in a Classic Cross-Country Skiing Sprint Race

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          Abstract

          The purpose of the present study was to analyze micro-pacing strategies in cross-country skiing, and their relation to section and total race times. Eleven competitive female cross-country skiers were tracked during a classic sprint time-trial race using a global navigation satellite system (GNSS) unit. A coordinate mapping procedure was applied to the GNSS unit measurements to analyze the instantaneous velocities and split times. The track was divided into nine sections and individual section times were calculated. Statistical parametric mapping (SPM) was used to analyze the relationships between instantaneous velocity and section or total race time. SPM analyses revealed two uphill sections and one flat section where greater instantaneous velocities were related to faster total race times. The first major uphill section on the track demonstrated a more conservative micro-pacing strategy (SPM supra-threshold clusters along the entire uphill, p < 0.05–0.001) compared to the more aggressive strategy used in the last uphill section (clusters on the first half of the uphill, p < 0.05–0.001). Faster flat section times were associated with greater instantaneous velocities throughout the section ( p < 0.001), while faster downhill section times were related to greater instantaneous velocities at the top of the downhill ( p < 0.001), and in the downhill turns ( p < 0.001). In conclusion, micro-pacing strategies were related to overall skiing performance and distinct track sections were identified where instantaneous velocities were related to section or total race times. In order to improve skiing performance, athletes could focus on more aggressive pacing early on in the “end spurt”, during the transitions from uphill to flat sections, and during the transitions from flat or uphill to downhill sections.

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          Most cited references24

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          One-dimensional statistical parametric mapping in Python.

          Statistical parametric mapping (SPM) is a topological methodology for detecting field changes in smooth n-dimensional continua. Many classes of biomechanical data are smooth and contained within discrete bounds and as such are well suited to SPM analyses. The current paper accompanies release of 'SPM1D', a free and open-source Python package for conducting SPM analyses on a set of registered 1D curves. Three example applications are presented: (i) kinematics, (ii) ground reaction forces and (iii) contact pressure distribution in probabilistic finite element modelling. In addition to offering a high-level interface to a variety of common statistical tests like t tests, regression and ANOVA, SPM1D also emphasises fundamental concepts of SPM theory through stand-alone example scripts. Source code and documentation are available at: www.tpataky.net/spm1d/.
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            The anticipatory regulation of performance: the physiological basis for pacing strategies and the development of a perception-based model for exercise performance.

            During self-paced exercise, the exercise work rate is regulated by the brain based on the integration of numerous signals from various physiological systems. It has been proposed that the brain regulates the degree of muscle activation and thus exercise intensity specifically to prevent harmful physiological disturbances. It is presently proposed how the rating of perceived exertion (RPE) is generated as a result of the numerous afferent signals during exercise and serves as a mediator of any subsequent alterations in skeletal muscle activation levels and exercise intensity. A conceptual model for how the RPE mediates feedforward, anticipatory regulation of exercise performance is proposed, and this model is applied to previously described research studies of exercise in various conditions, including heat, hypoxia and reduced energy substrate availability. Finally, the application of this model to recent novel studies that altered pacing strategies and performance is described utilising an RPE clamp design, central nervous system drugs and the provision of inaccurate duration or distance feedback to exercising athletes.
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              Describing and Understanding Pacing Strategies during Athletic Competition

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                Author and article information

                Contributors
                Journal
                Front Sports Act Living
                Front Sports Act Living
                Front. Sports Act. Living
                Frontiers in Sports and Active Living
                Frontiers Media S.A.
                2624-9367
                26 June 2020
                2020
                : 2
                : 77
                Affiliations
                [1] 1Swedish Winter Sports Research Centre, Department of Health Sciences, Mid Sweden University , Östersund, Sweden
                [2] 2Research Institute for Olympic Sports , Jyväskylä, Finland
                [3] 3Department for Health, University of Bath , Bath, United Kingdom
                Author notes

                Edited by: George P. Nassis, University of Southern Denmark, Denmark

                Reviewed by: Sarah J. Willis, University of Lausanne, Switzerland; Dale Wilson Chapman, New South Wales Institute of Sport, Australia

                *Correspondence: Kerry McGawley kerry.mcgawley@ 123456miun.se

                This article was submitted to Elite Sports and Performance Enhancement, a section of the journal Frontiers in Sports and Active Living

                Article
                10.3389/fspor.2020.00077
                7739622
                8f902b7c-7955-45c9-b422-d324e54b371c
                Copyright © 2020 Ihalainen, Colyer, Andersson and McGawley.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 March 2020
                : 26 May 2020
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 24, Pages: 8, Words: 5363
                Categories
                Sports and Active Living
                Original Research

                competition,elite athletes,gnss,gps,statistical parametric mapping,time trial

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