Blood Oxygen Carrying Capacity Determines Cardiorespiratory Fitness in Middle-Age and Older Women and Men
Bibliographic record
Abstract
PURPOSE: Whether blood oxygen (O2)-carrying capacity plays a substantial role in determining cardiorespiratory fitness, a strong predictor of mortality, remains uncertain in women and elderly individuals because of the scarcity of experimental investigations. This study experimentally assessed the role of blood O2-carrying capacity on cardiorespiratory fitness in middle-age and older individuals. METHODS: Healthy women and men (n = 31, 35-76 yr) matched by age and fitness were recruited. Transthoracic echocardiography, central hemodynamics, and O2 uptake were assessed throughout incremental exercise in (i) control conditions and (ii) after a 10% reduction of blood O2-carrying capacity via carbon monoxide administration, in a blinded manner. Effects on cardiac function, blood pressure, peak O2 uptake, and effective hemoglobin (Hb) were determined with established methods. RESULTS: Blood O2-carrying capacity, represented by effective Hb, was similarly reduced in women (11.8 ± 0.6 vs 10.7 ± 0.6 g·dL-1, P < 0.001) and men (13.0 ± 0.9 vs 11.7 ± 0.6 g·dL-1, P < 0.001) (P for sex effect = 0.580). Reduced O2-carrying capacity did not induce major effects on cardiac function and hemodynamics during exercise, except for a 10%-15% decrement in peak systolic blood pressure in both sexes (P ≤ 0.034). Peak O2 uptake decreased from 35 ± 6 to 31 ± 6 mL·min-1·kg-1, P < 0.001) in women and from 35 ± 9 to 32 ± 9 mL·min-1·kg-1 (P = 0.024) in men in approximate proportion to the reduction of O2-carrying capacity, an effect that did not differ between sexes (P = 0.778). CONCLUSIONS: Blood O2-carrying capacity stands out as a major determinant of cardiorespiratory fitness in healthy mature women and men, with no differential effect of sex.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".