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Abstract 12093: Bi-Ventricular Cardiac Adaptations to 20 Weeks of High-Intensity Resistance Training in Healthy Untrained Men: A 3D Echocardiography Longitudinal Study

2023· article· en· W4389956509 on OpenAlexaff
Nicolas Pamart, Joffrey Drigny, Hélène Azambourg, Marion Remily, Maxime Macquart, Alexandre Lefèvre, Kamal Lahjaily, Jean-Jacques Parienti, Amélia Rocamora, Henri Guermont, Antoine Desvergée, Pierre Ollitrault, François Tournoux, Éric Saloux, Hervé Normand, Emmanuel Reboursière, Antoine Gauthier, Amir Hodžić

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineCardiologyInternal medicineBicepsEndurance trainingIntensity (physics)Heart rateStrength trainingCardiac function curvePhysical therapyBlood pressurePhysical medicine and rehabilitationHeart failure

Abstract

fetched live from OpenAlex

Introduction: The historical description of cardiac remodelling between strength and endurance athletes, made by Morganroth in the 1970s, has been challenged with the advancements in our understanding of the protective effect of Valsalva manoeuvres and the emergence of sophisticated imaging techniques for cardiac function assessment. Objective: We aimed to analyze the kinetics of muscular and cardiac responses to 20 weeks of high-intensity resistance training in healthy untrained volunteers. Methods: A total of 27 young and healthy men with an average age of 22.8±3.2 years participated in a 20-week strength training program. The training program intensity was guided by 1-Repetition Maximum (RM) testing. Before and after 12 and 20 weeks of training, participants were assessed using body composition analysis, electrocardiogram, 3D transthoracic echocardiography, cardiopulmonary exercise testing ( V O 2peak ), and muscle isokinetic dynamometry. Anova was utilized to analyse time effect. Results: Among the initial cohort, 22 subjects completed the study protocol. Arterial blood pressure significantly decreased at both time points. Isokinetic evaluation confirmed increases in maximal strength for quadriceps (Δ 0-20wk =+46.8Nm, P<0.001), hamstrings (Δ 0-20wk =+25.3Nm, P=0.025), triceps (Δ 0-20wk =+11.6Nm, P=0.005), and biceps (Δ 0-20wk =+9.2Nm, P=0.023). Regarding cardiac analysis, after 20 weeks of training 3D left ventricular (LV) mass increased (120.1±15.4 to 133.7±16.3 g, P=0.018), with an augmentation in both septal wall (6.1±1.1 to 7.2±1.4 mm, P=0.027) and posterior wall thickness (5.5±1.3 to 7.1±1.3 mm, P<0.001). 3D LV end-diastolic volume increased by 7.28% without reaching a significant difference. Right ventricular (RV) wall thickness also increased (3.33±0.73 to 3.89±0.8 mm, P=0.04), with a slight non-significant augmentation of 3D RV end-diastolic volume by 7.89%. No significant changes were found in LV and RV systolic or diastolic function. Conclusions: This study demonstrated that our 20-week high-intensity strength training program resulted in a rapid and significant increase in muscular strength. The cardiac response to strength training showed a moderate biventricular response like that of endurance athlete

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
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 head0.034
GPT teacher head0.292
Teacher spread0.258 · 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.

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
Published2023
Admission routes1
Has abstractyes

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