MétaCan
Menu
Back to cohort
Record W4415681837 · doi:10.14814/phy2.70626

Variation in cycling exercise mechanical efficiency in the <scp>HERITAGE</scp> Family Study

2025· article· en· W4415681837 on OpenAlexaff
Angelo Tremblay, Claude Bouchard, Mark A. Sarzynski, James S. Skinner, Élisa Marin‐Couture, Patrick Schrauwen, Denis R. Joanisse, Guy Thibault, Marie-Eve Mathieu, Louis Përusse

Bibliographic record

VenuePhysiological Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversité de MontréalUniversité Laval
FundersNational Heart, Lung, and Blood Institute
KeywordsCardiorespiratory fitnessCyclingEndurance trainingGlycemicSkeletal muscleVO2 maxExercise physiologyGlycemic load

Abstract

fetched live from OpenAlex

The objectives of the study were to assess the effects of cycling endurance exercise training and sex on cycling exercise mechanical efficiency (ME) and to explore its associations with body composition, glycemic profile, and skeletal muscle characteristics. Subjects were males (n = 371) and females (n = 465) of European (ED) and African descent (AD) of the HERITAGE Family Study. The measurements were repeated after a 20-week controlled endurance exercise program. A substudy involving 78 participants from 19 ED families was used to evaluate associations between skeletal muscle traits and variations in ME. An increase in ME of 4%-5% was induced by training and was comparable between sexes. Higher values of ME were associated with reduced body weight and fatness and fasting plasma glucose and insulin, both before and following endurance training, independently of cardiorespiratory fitness. There was no association between muscle fiber type or capillarity and ME. There was also no consistent muscle glycolysis and oxidative enzymatic profile associated with ME. The results of this study show that cycling exercise ME is trainable in nonathletes. ME variations in the sedentary state and in response to an exercise training program are associated with favorable body composition and glycemic profiles. Further research is needed to better understand its biological determinants.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.957
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.297
Teacher spread0.274 · 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 teacher head, 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuePhysiological ReportsSame topicCardiovascular and exercise physiologyFrench-language works237,207