EFFECT OF VITAMIN C AND COMBINATION OF VITAMIN C WITH PHYSICAL EXERCISE ON THE PAIN OF DYSMENORRHEA
Bibliographic record
Abstract
Dysmenorrhea is a common problem in adolescent girls and women; with moderate to severe pain, often refrain from their daily activity and also affect their profession and quality of life. In this study effect of vitamin C and vitamin C in combination with exercise on the pain of dysmenorrhea was examined on twenty girl students of age range 18-22 years suffering from the symptoms of mild to moderate primary dysmenorrhea. Pain was measured as Pain Rating Index (PRI) using McGill pain Questionnaire. Duration of the intervention was for consecutive 8 weeks and pain score was measured three times; before intervention, after 1st menstrual cycle and after second menstrual cycle. Results showed that pain score decreased after both the treatments. It was also observed that vitamin C in combination with exercise showed a better effect than vitamin C alone (P < 0.05).
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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 | 0.000 |
| 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) | 0.000 | 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 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".