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Determinants of Percentage of Predicted Exercise Capacity in Premenopausal Women

2006· article· en· W1989600020 on OpenAlexaff
Joseph Abdulnour, Bernard Pinet, Pierre Boulay, Éric Doucet, Martin Brochu, R mi Rabasa-Lhoret, Denis Prud’homme

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsUniversité de MontréalUniversité de SherbrookeMontfort HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineAsymptomaticWaistBody mass indexInternal medicineHazard ratioCardiologyBlood pressureNomogramAnthropometryEndocrinologyConfidence interval

Abstract

fetched live from OpenAlex

PURPOSE: Many studies have shown that cardiovascular disease is the first cause of mortality in women. Exercise capacity has been demonstrated to be an independent predictor of the risk of death and cardiac events among asymptomatic women. It has been reported that women with an exercise capacity of less than 85% of the age-predicted value are at a higher risk (hazard ratio of 2.44) of death from cardiac causes than those with at least 85% of the age-predicted value (Gulati et al. (1)). The objective of this study was to investigate the relationships between body composition, metabolic indices and the percentage of predicted exercise capacity for a given age, in asymptomatic premenopausal women. METHODS: A total of 97 premenopausal women (age: 49.9±2.0 yrs; % fat: 31.1±6.5 % mean±sd) underwent a stress-test to measure maximal exercise capacity (VO2 peak) (VO2: 33.9±5.7 mlO2·kg−1·min−1). A nomogram established by Gulati et al. (1) was used to determine the % of the predicted exercise capacity achieved (%PEC) (103.1±14.2 %) according to their age and the measured VO2 peak. Body composition was measured by DEXA and abdominal fat by axial computed tomography. Other measurements included blood pressure, fasting blood samples for plasma lipids, insulin and glucose levels. RESULTS: Body mass index (r=−0.32, P<0.01), waist circumference (r=−0.24, P<0.05), %fat (r=−0.58, P<0.01), fat-free mass (r=0.37, P<0.01), fat mass (r=−0.47, P<0.01), triglycerides (r=−0.29, P<0.01), total cholesterol/HDL-C ratio (r=−0.30, P<0.01), insulin (r=−0.29, P<0.01), and glucose (r=−0.21, P<0.05) were all significantly related to %PEC. Abdominal subcutaneous, visceral or total areas of adipose tissue accumulation and blood pressure were not correlated with %PEC. A stepwise multiple regression analysis showed that % fat (β=−0.59, P<0.001) and plasma triglycerides (β=−0.32, P<0.001) were significantly related to the inter-individual variation observed in %PEC (R2=0.44, p<0.001). CONCLUSION: In conclusion, our results showed that % fat and plasma concentration of fasting triglyceride account for 44% of the inter-individual variation observed in the %PEC in our sample of asymptomatic premenopausal women.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.388
Teacher spread0.346 · 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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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