Evidence map›Paper›PMID 28763504›Full record

ArticlePloS one2017

Full course macro-kinematic analysis of a 10 km classical cross-country skiing competition.

Finn Marsland, Colin Mackintosh, Hans-Christer Holmberg, Judith Anson, Gordon Waddington, Keith Lyons, Dale Chapman

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
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  6. Analysis of a Skating Time-Trial Competition and Associated Performance-Determinants in Cross-Country Skiers.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
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  15. Article
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  17. Article
  18. Energy system contribution during competitive cross-country skiing.European journal of applied physiology · 2019
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Finn MarslandUC Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0002-5251-894X
Colin MackintoshAPPSEN Pty Ltd, Canberra, Australia.
Hans-Christer HolmbergSwedish Wintersport Research Centre, Ostersund, Sweden.
Judith AnsonUC Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia.
Gordon WaddingtonUC Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia.
Keith LyonsUC Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia.
Dale ChapmanUC Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study micro-sensors were employed to analyse macro-kinematic parameters during a classical cross-country skiing competition (10 km, 2-lap). Data were collected from eight male participants during the Australian championship competition wearing a single micro-sensor unit (MinimaxX™, S4) positioned on their upper back. Algorithms and visual classification were used to identify skiing sub-techniques and calculate velocities, cycle lengths (CL) and cycle rates (CR) over the entire course. Double poling (DP) was the predominant cyclical sub-technique utilised (43 ± 5% of total distance), followed by diagonal stride (DS, 16 ± 4%) and kick double poling (KDP, 5 ± 4%), with the non-propulsive Tuck technique accounting for 24 ± 4% of the course. Large within-athlete variances in CL and CR occurred, particularly for DS (CV% = 25 ± 2% and CV% = 15 ± 2%, respectively). For all sub-techniques the mean CR on both laps and for the slower and faster skiers were similar, while there was a trend for the mean velocities in all sub-techniques by the faster athletes to be higher. Overall velocity and mean DP-CL were significantly higher on Lap 1, with no significant change in KDP-CL or DS-CL between laps. Distinct individual velocity thresholds for transitions between sub-techniques were observed. Clearly, valuable insights into cross-country skiing performance can be gained through continuous macro-kinematic monitoring during competition.

Indexed as

AthletesAthletic PerformanceAdultAlgorithmsAustraliaBiomechanical PhenomenaHumansMaleMuscle, SkeletalSkiingYoung Adult

Identifiers

PMID28763504
PMCPMC5538647

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.