Literature DB >> 28950695

Pacing Profiles in Age Group Cross-Country Skiers in the Vasaloppet 2012-2016.

Pantelis T. Nikolaidis1, Beat Knechtle2.   

Abstract

Little is known for pacing profiles in age groups cross-country skiers. The aim of the present study was to examine the effect of sex, age and calendar year on pacing strategies in the largest ski marathon in the world. All finishers (n = 66,435) in ‘Vasaloppet’ from 2012 to 2016 were examined for 12 different age groups (G). There was an association between age group and sex (χ² = 1091.1, P < 0.001; Cramer’s V = 0.13, P < 0.001), where the men-to-women ratio in each age group ranged from 3.29 (in G₂₀) to 64.36 (in G₇₀). A between-within subjects analysis of variance (ANOVA) showed a sex × split interaction of small magnitude (P < 0.001, η² = 0.019) on speed (v) indicating sex-specific pacing strategies. A main effect of sex on v was observed (P < 0.001), where men were faster than women (12.5 ± 3.3 versus 10.3 ± 2.4 km·h⁻¹, respectively). There was also a main effect of split on v of large magnitude (P < 0.001, η² = 0.517), where all eight splits differed (v2 > v3 > v8 > v5 > v4 > v7 > v6 > v₁). In women and men, age groups differed (small magnitude) for v (P < 0.001, η² = 0.015 and η² = 0.031, respectively), with the fastest v observed in G₂₁ and G₄₀, respectively. In women and men, an age group × split interaction on v of trivial magnitude was observed (P < 0.001, η² = 0.005 and η² = 0.007, respectively). Based on these findings, it was concluded (i) a relatively low participation of women with increasing age, (ii) different pattern of pacing in women and men, and (iii) the age of the fastest v differed by sex.

Entities:  

Keywords:  aerobic capacity; aging; master athlete; performance; sex

Mesh:

Year:  2017        PMID: 28950695     DOI: 10.4077/CJP.2017.BAG511

Source DB:  PubMed          Journal:  Chin J Physiol        ISSN: 0304-4920            Impact factor:   1.764


  5 in total

1.  Physiological Comparisons of Elite Male Visma Ski Classics and National Level Cross-Country Skiers During Uphill Treadmill Roller Skiing.

Authors:  Edvard H Sagelv; Tina P Engseth; Sigurd Pedersen; Svein A Pettersen; Gunnar Mathisen; Kim A Heitmann; Boye Welde; Tor O Thomassen; Thomas L Stöggl
Journal:  Front Physiol       Date:  2018-11-16       Impact factor: 4.566

2.  The effect of aging on pacing strategies of cross-country skiers and the role of performance level.

Authors:  Pantelis Theodoros Nikolaidis; Elias Villiger; Thomas Rosemann; Beat Knechtle
Journal:  Eur Rev Aging Phys Act       Date:  2018-04-25       Impact factor: 3.878

3.  Pacing and predictors of performance during cross-country skiing races: A systematic review.

Authors:  Thomas Stöggl; Barbara Pellegrini; Hans-Christer Holmberg
Journal:  J Sport Health Sci       Date:  2018-09-15       Impact factor: 7.179

4.  The effect of sex and performance level on pacing in cross-country skiers: Vasaloppet 2004-2017.

Authors:  Pantelis Theodoros Nikolaidis; Elias Villiger; Beat Knechtle
Journal:  J Sport Health Sci       Date:  2018-05-07       Impact factor: 7.179

5.  Pacing, Exercise Intensity, and Technique by Performance Level in Long-Distance Cross-Country Skiing.

Authors:  Thomas L Stöggl; Markus Hertlein; Richard Brunauer; Boye Welde; Erik P Andersson; Mikael Swarén
Journal:  Front Physiol       Date:  2020-02-14       Impact factor: 4.566

  5 in total

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