Prolonged exercise following diuretic-induced hypohydration: Effects on cardiovascular and thermal strain
Bibliographic record
Abstract
To examine the role of a reduction in plasma volume (PV) on the cardiovascular and thermoregulatory responses to submaximal exercise, ten untrained males (VO2 peak = 3.96 +/- 0.14 L x min(-1); mean +/- SE) performed 60 min of cycle exercise at -61% of VO2 peak while on a diuretic (DIU) and under control (CON) conditions. Participants consumed either Novotriamazide (100 mg triameterene + 50 mg hydrochlorothiazide, a diuretic) or a placebo, in random order, for 4 days prior to the exercise. Diuretic resulted in a calculated 14.6% reduction (P < 0.05) in resting PV. Heart rate was higher (P < 0.05) at rest and throughout exercise for DIU compared with CON. No differences were observed for cardiac output (Qc) and stroke volume (SV) at rest for the two conditions, but during exercise both Qc and SV were lower (P < 0.05) with DIU. Exercise VO2 (L x min(-1)) for CON and DIU at 30 min (2.39 +/- 0.09 vs 2.43 +/- 0.08) and 60 min (2.56 +/- 0.08 vs 2.53 +/- 0.12) were similar between conditions. Whole body a-vO2 difference was significantly greater (P < 0.05) for DIU both at rest and during exercise as compared with CON. Rectal temperature (Tre) was significantly higher (P < 0.05) during DIU from 15 min to the end of exercise. Blood concentrations of norepinephrine were higher (P < 0.05) with DIU compared to CON at 15 min of exercise and beyond. For blood epinephrine, no differences were observed between DIU and CON. These results suggest that reductions in PV led to greater circulating concentrations of norepinephrine which likely resulted from increased cardiac and thermoregulatory stresses. In addition, reductions in PV do not appear to increase cardiovascular instability during prolonged dynamic exercise.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 teacher head, 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".