EFFECT OF PREGNANCY ON THE SLOW COMPONENT OF OXYGEN UPTAKE KINETICS
Bibliographic record
Abstract
Pregnancy has profound effects on the regulatory systems of the human body. The ability of pregnancy to affect the VO2 response to exercise has been demonstrated recently in the report of slowed Phase II kinetics during moderate exercise in pregnancy (MSSE 34: S111, 2002). PURPOSE To further study the effect of pregnancy on the VO2 response to exercise by examining the effect on the VO2 slow component during heavy exercise. METHODS The responses of eight healthy, active pregnant women (PG, gestational age 36.1 ± 0.4 wk) were compared to those of six nonpregnant female controls (CG) with similar age and physical characteristics. On four separate days, subjects performed exercise bouts involving square-wave increases from loadless pedaling to a work rate corresponding to 120% of measured ventilatory threshold (Tvent) (PG, 116 ± 5 W; CG, 117 ± 8 W). The VO2 slow component was calculated as the difference in VO2 between 3 min and 6 min of exercise at 120% Tvent. Arterialized blood samples for lactate determination were drawn at rest, 3 and 6 min exercise, and 1, 4 and 7 min recovery. RESULTS The VO2 slow component was not different between the PG and CG (121 ± 14 vs. 113 ± 24 ml/min). Lactate values were also not different at any measurement time between the two groups. CONCLUSION Although pregnancy has been reported to slow phase II VO2 kinetics in moderate exercise, it does not appear to affect the VO2 slow component in heavy exercise. Thus, it is postulated that pregnancy does not have a significant effect on the mechanisms responsible for the VO2 slow component, such as muscle fiber recruitment pattern. Supported by the U. S. Army Medical Research and Material Command Contract #DAMD 17–96-C-6112, Ontario Thoracic Society (Block-term Grant Funding), and Natural Sciences and Engineering Research Council of Canada (N.S.E.R.C.).
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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 | 0.002 |
| 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".