Evidence map›Paper›PMID 36064982›Full record

ArticleEuropean journal of applied physiology2022

Everesting: cycling the elevation of the tallest mountain on Earth.

Wannes Swinnen, Emily Laughlin, Wouter Hoogkamer

Open access · bronzeAbstract read
In one paragraph

Article in European journal of applied physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 2 countries.

Wannes SwinnenHuman Movement Biomechanics Research Group, Department of Movement Science, KU Leuven, Tervuursevest 101, Mailbox 1501, 3001, Louvain, Belgium. wannes.swinnen@kuleuven.be.ORCID http://orcid.org/0000-0002-5426-5325
Emily LaughlinIntegrative Locomotion Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, USA.
Wouter HoogkamerIntegrative Locomotion Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, USA.
University of Massachusetts Amherst · USKU Leuven · BE

Funding

Fonds Wetenschappelijk Onderzoek 11E3919N
6 · The paper itself

Abstract

purposeWith few cycling races on the calendar in 2020 due to COVID-19, Everesting became a popular challenge: you select one hill and cycle up and down it until you reach the accumulated elevation of Mt. Everest (8,848 m or 29,029ft). With an almost infinite number of different hills across the world, the question arises what the optimal hill for Everesting would be. Here, we address the biomechanics and energetics of up- and downhill cycling to determine the characteristics of this optimal hill.

methodsDuring uphill cycling, the mechanical power output equals the power necessary to overcome air resistance, rolling resistance, and work against gravity, and for a fast Everesting time, one should maximize this latter term. To determine the optimal section length (i.e., number of repetitions), we applied the critical power concept and assumed that the U-turn associated with an additional repetition comes with a 6 s time penalty.

resultsTo use most mechanical power to overcoming gravity, slopes of at least 12% are most suitable, especially since gross efficiency seems only minimally diminished on steeper slopes. Next, we found 24 repetitions to be optimal, yet this number slightly depends on the assumptions made. Finally, we discuss other factors (fueling, altitude, fatigue) not incorporated in the model but also affecting Everesting performances.

conclusionFor a fast Everesting time, our model suggests to select a hill climb which preferably starts at (or close to) sea level, with a slope of 12-20% and length of 2-3 km.

Indexed as

COVID-19AltitudeBicyclingBiomechanical PhenomenaGravitationHumansCycling efficiencyDownhillLocomotionUphill

Identifiers

PMID36064982
PMCPMC9444120
OpenAlexW4294631384

What OpenQuestion holds

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.