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Record W2793158170 · doi:10.28985/jsc.v3i2.98

Acute effects of small changes in crank length on gross efficiency and pedalling technique during submaximal cycling

2014· article· en· W2793158170 on OpenAlexaboutno aff
Ventura Ferrer-Roca, Víctor Rivero-Palomo, Ana Ogueta‐Alday, JA Rodríguez-Marroyo, J García-Là pez

Bibliographic record

VenueJournal Of Science & Cycling · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
Fundersnot available
KeywordsCrankCyclingCadenceMathematicsAnkleRespiratory exchange ratioMedicinePhysical therapyAnimal scienceHeart ratePhysical medicine and rehabilitationSurgeryInternal medicineBiologyGeometry

Abstract

fetched live from OpenAlex

Background: To the best of our knowledge, only four experimental studies analysed the influence of the crank length in the efficiency of energy consumption. No significant differences were found on metabolic cost while pedalling with crank lengths between 145 and 200 mm. None of these studies took into account changes in pedalling technique (kinetic and kinematic profile), which might affect both the efficiency of energy consumption and the muscular activity profile of the lower limb (Astrand, 1953: Arbeitsphysiologie, 15, 23-32; Klimt & Voigt, 1974: European Journal of Applied Physiology, 33, 315-326; Morris & Londeree, 1997: Canadian Journal of Applied Physiology, 22, 429-438; McDaniel et al, 2002: Journal of Applied Physiology, 93, 823-828). Purpose: The main purpose of this study was to assess the acute effects of small changes in crank length assumable by competitive cyclists (±5 mm) on metabolic cost and pedalling technique during submaximal cycling.Methods: Twelve well-trained road cyclists with a minimum of two years competing in cycling and training more than 3000 km participated in the study. They performed in a randomized order three sets of submaximal pedalling (150, 200 & 250W) at a constant cadence (90 rpm) using three commonly used crank lengths (preferred, +5 mm and -5 mm). Simultaneous physiological (oxygen uptake, respiratory exchange ratio, heart rate and gross efficiency) and biomechanical analyses of pedalling were performed (sagittal hip, knee and ankle angles obtained by 2D high-speed video; and torque exerted on the left and right cranks independently every 2Âo of a complete revolution). Two-way ANOVA with repeated measures was used to analyse the effect of the crank length and power output on biomechanical and physiological variables. Results: Non-significant effects of crank length on oxygen uptake, RER, heart rate and gross efficiency were found (p>0.05). There was a significant effect (p<0.001) of the crank length on maximum torque (longest cranks increased it between 1.0-2.3 N•m), minimum torque (longest cranks increased it between 1.0-2.2 N•m) and MFE (longest cranks decreased it between 1 0.9-1.9%). Longest cranks also increased (p<0.05) the flexion and range of motion of the hip (0.9-2.5°) and the knee (1.3-3.4°), whereas ankle joint was not affected. No significant effect crank length i‚´ pedalling power output was found. Discussion: The main outcome of this study was that small changes in crank length at submaximal intensity and at constant cadence did not produce significant changes on the efficiency of energy consumption whereas significant changes on biomechanical variables (kinetics and kinematics) were produced. A longer crank decreased the MFE due to a greater minimum torque during the upstroke. Moreover, the flexion and the range of motion of the hip and the knee increased while ankle joint was not affected. Conclusions: In conclusion, kinematic and kinetic changes due to a longer crank were not significant enough to alter the efficiency of energy consumption, although future studies should investigate their long term effects on muscle coordinative pattern in distance events and on overuse injuries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.258
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2014
Admission routes1
Has abstractyes

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