Effect of age on O<sub>2</sub> uptake kinetics and the adaptation of muscle deoxygenation at the onset of moderate-intensity cycling exercise
Why this work is in the frame
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Bibliographic record
Abstract
Phase 2 pulmonary O(2) uptake (Vo(2(p))) kinetics are slowed with aging. To examine the effect of aging on the adaptation of Vo(2(p)) and deoxygenation of the vastus lateralis muscle at the onset of moderate-intensity constant-load cycling exercise, young (Y) (n = 6; 25 +/- 3 yr) and older (O) (n = 6; 68 +/- 3 yr) adults performed repeated transitions from 20 W to work rates corresponding to moderate-intensity (80% estimated lactate threshold) exercise. Breath-by-breath Vo(2(p)) was measured by mass spectrometer and volume turbine. Deoxy (HHb)-, oxy-, and total Hb and/or myoglobin were determined by near-infrared spectroscopy (Hamamatsu NIRO-300). Vo(2(p)) data were filtered, interpolated to 1 s, and averaged to 5-s bins. HHb data were filtered and averaged to 5-s bins. Vo(2(p)) data were fit with a monoexponential model for phase 2, and HHb data were analyzed to determine the time delay from exercise onset to the start of an increase in HHb and thereafter were fit with a single-component exponential model. The phase 2 time constant for Vo(2(p)) was slower (P < 0.01) in O (Y: 26 +/- 7 s; O: 42 +/- 9 s), whereas the delay before an increase in HHb (Y: 12 +/- 2 s; O: 11 +/- 1 s) and the time constant for HHb after the time delay (Y: 13 +/- 10 s; O: 9 +/- 3 s) were similar in Y and O. However, the increase in HHb for a given increase in Vo(2(p)) (Y: 7 +/- 2 microM x l(-1) x min(-1); O: 13 +/- 4 microM x l(-1) x min(-1)) was greater (P < 0.01) in O compared with Y. The slower Vo(2(p)) kinetics in O compared with Y adults was accompanied by a slower increase of local muscle blood flow and O(2) delivery discerned from a faster and greater muscle deoxygenation relative to Vo(2(p)) in O.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it