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Association Between Anthropometry And Indices Of Cardiovascular Function At Maximal Exercise In Healthy College Students

2021· article· en· W3184563611 on OpenAlexaff
Camila Corrêa, Andrew S. Perrotta

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsLangara College
Fundersnot available
KeywordsMedicineAnthropometryVO2 maxCardiologyPhysical therapyHeart rateBlood pressureAerobic exerciseInternal medicineBrachial arteryCardiac function curveCardiac outputHeart failure

Abstract

fetched live from OpenAlex

The delivery of oxygen to the working muscle has shown to be a limiting factor to maximal aerobic exercise (VO2 Peak). Both cardiac and vascular function play a pivotal role in the transportation of oxygen, however, the association between anthropometric characteristics and indices of cardiac and vascular function have yet to be explored at VO2 peak. PURPOSE: To examine the association between indices of cardiovascular function and anthropometric characteristics at VO2 peak in healthy college students. METHODS: Ten healthy college students (4 males & 5 females) with an age of (mean ± SD) 21.4 ± 1.2 yr, a weight of weight 64.3 ± 16.8 kg and a height of 163.0 ± 10.5 cm performed a graded maximal exercise test on a cycle ergometer. Each participant was fitted with a mouthpiece for the collection of expired gas concentrations and was analysed using a calibrated metabolic cart. Initial flywheel resistance was set at 2 W x bodyweight (kg) and involved 25 W increments every three minutes until volitional fatigue. An automated blood pressure monitor using an arm cuff positioned around the left brachial artery and a heart rate monitor chest strap were utilized to record data immediately upon completion of the test while seated on the cycle ergometer to examine indices of cardiac and vascular function. Data was analysed using a Pearson correlation coefficient to examine the association (r) between anthropometric characteristics and indices of cardiovascular function. This study was approved by and followed the recommendation of the Research Ethics Review board at Langara College. RESULTS: A significant and inverse association between heart rate and both body weight (r = -0.69, p < 0.05) and body surface area (r = -0.65, p < 0.05) were observed. A positive and significant association were observed between; 1) stroke volume and both height (r = 0.82, p < 0.05) and body surface area (r = 0.72, p < 0.05), 2) height and cardiac output (r = 0.77, p < 0.05) and 3) body mass index and both mean arterial pressure (r = 0.64) and systolic blood pressure (r = 0.64, p < 0.05). CONCLUSION: Indices of both cardiac and vascular function are associated with anthropometric characteristics at VO2 peak in healthy college students. This investigation was funded by the Langara College RSAF-1 Grant.

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: Observational
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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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