Evidence map›Paper›PMID 15599588›Full record

ArticleEuropean journal of applied physiology2005

Body size as a determinant of the 1-h cycling record at sea level and altitude.

Daniel P Heil

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Is a sub 7-h IronmanFrontiers in sports and active living · 2022
    Article
  3. Article
  4. Article
  5. 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

1 author.

Daniel P HeilDepartment of Health and Human Development, Montana State University, Hoseaus 101, Bozeman, MT 59717-3540, USA. dheil@montana.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to validate models for predicting the two Union Cycliste Internationale (UCI) classifications for the 1-h cycling record at sea level and altitude. Specific attention was paid to the integration of model components that were sensitive to scaling differences in body mass (m(b)). The Modern Aero Position model predicted UCI Best Hour performances using predictions of total projected frontal area (A(P)) that included use of an aerodynamic bicycle and aerodynamic handlebars. The Traditional Racing Position model predicted UCI Hour Record performances using predictions of total A(P) that include use of a "Merckx-era" bicycle with drop-style handlebars. Prediction equations for A(P), as well as the coefficient of drag and metabolic power output , involved scaling relationships with m(b), while other model components were similar to previously published 1-h models. Both models were solved for the distance cycled in 1 h (D(HR)) using an iterative strategy. Chris Boardman's current records for the UCI Best Hour Performance (56.375 km) and the UCI Hour Record (49.202 km) were underpredicted by only 0.332 km (-0.6%) and 0.239 km (-0.5%). Both models, regardless of altitude, suggested that D(HR) should scale with m(b) to the +0.174 power (D(HR) alpha m(b) (+0.174)), which is lower than the +0.32 exponent recently suggested in the literature. Lastly, the same models also predicted that six-time Tour de France winner, Lance Armstrong, could exceed both of Boardman's current records at sea level by about 2.0 km.

Indexed as

AltitudeBody Mass IndexModels, TheoreticalAdultBicyclingEquipment DesignForecastingHumansMalePosture

Identifiers

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.