Evidence map›Paper›PMID 27534770›Full record

ArticleEuropean journal of applied physiology2016

Optimal slopes and speeds in uphill ski mountaineering: a field study.

Caroline Praz, Benedikt Fasel, Philippe Vuistiner, Kamiar Aminian, Bengt Kayser

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Article in European journal of applied physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Review
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  7. Article
  8. Assessment of Maximal Aerobic Capacity in Ski Mountaineering: A Laboratory-Based Study.International journal of environmental research and public health · 2021
    Article
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  12. 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

5 authors.

Caroline PrazInstitute of Sports Sciences and Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Géopolis, Campus Dorigny, Lausanne, 1015, Switzerland.
Benedikt FaselLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Philippe VuistinerInstitute for Research in Rehabilitation, SuvaCare Rehabilitation Clinic, Sion, Switzerland.
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Bengt KayserInstitute of Sports Sciences and Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Géopolis, Campus Dorigny, Lausanne, 1015, Switzerland. bengt.kayser@unil.ch.ORCID http://orcid.org/0000-0002-9776-7501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to describe the effects of speed and gradient during uphill ski mountaineering on energy expenditure, to relate any changes to changes in stride characteristics, and to determine an optimal gradient and speed allowing minimization of energy expenditure.

methods11 subjects were tested on snowy trails using their mountaineering skis (fitted with skins), boots and poles, at three gradients (7, 11 and 33 %) at 80 % of maximum heart rate (HRmax), and at 11 % also at 90 and 100 % of HRmax. Energy expenditure was calculated by indirect calorimetry to derive energy cost of locomotion (EC), vertical energy cost (ECvert) and mechanical efficiency, while stride length, stride frequency, relative and absolute thrust phase duration, and slope gradient were measured with an inertial sensor-based system.

resultsAt 11 % there was no change with speed in EC, ECvert and mechanical efficiency, while stride length and frequency increased and absolute thrust phase duration decreased. There was an effect of gradient on EC, ECvert and mechanical efficiency, while speed, stride length and stride frequency decreased and absolute and relative thrust phase duration increased. The most economical gradient (lowest ECvert) was the steepest one.

conclusionDuring ski mountaineering uphill at shallow gradient (11 %), EC, ECvert and mechanical efficiency do not vary with speed, while at steeper gradient (33 %) economy is improved. It follows that to minimize energy expenditure and optimize performance to reach a place located at a higher altitude, an athlete should choose a steep gradient, if he/she is able to maintain a sufficient speed.

Indexed as

AdultAthletic PerformanceEcosystemEnergy MetabolismHumansMaleMountaineeringOxygen ConsumptionPhysical ExertionPsychomotor PerformanceSkiingBiomechanicsClimbingEnduranceEnergy expenditureSkiing

Identifiers

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Textmetadata
Read underepoch 390

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.