Effect of Exercise on Salivary pH, Amylase, Mucin, and Total Protein Concentration of Unstimulated Whole Saliva in Pakistani Cohort
Bibliographic record
Abstract
ABSTRACT Objective: To assess the effects of physical exercise on salivary pH, amylase, mucin, and total protein concentration. Material and Methods: Saliva samples were collected from 34 participants (21 males, 13 females) at four time points: rest (control), moderate-intensity exercise, high-intensity exercise, and recovery (post-30 min rest). Salivary pH was measured using a pH meter, while amylase, mucin, and total protein concentrations were analyzed using ELISA. Results: Salivary pH remained stable throughout. Amylase levels significantly increased (p<0.05) post-moderate (males: 85.66 ± 2.79 units/mL; females: 85.46 ± 2.36 units/mL) and high-intensity exercise (males: 104.42 ± 1.91 units/mL; females: 103.69 ± 2.05 units/mL), declining during recovery. Mucin levels also rose significantly (p<0.05) post-moderate (males: 3.99 ± 0.79 mg/mL; females: 3.95 ± 0.73 mg/mL) and high-intensity exercise (males: 4.57 ± 0.68 mg/mL; females: 4.52 ± 1.07 mg/mL), then decreased in recovery. Total protein concentration followed a similar trend, increasing post-moderate (males: 2.80 ± 0.62 mg/mL; females: 3.95 ± 0.73 mg/mL) and high-intensity exercise (males: 3.94 ± 1.04 mg/mL; females: 3.63 ± 0.59 mg/mL), then declining during recovery. Conclusion: Moderate and high-intensity exercise significantly increased salivary amylase, mucin, and total protein levels, while salivary pH remained unaffected.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".