THE RISK FACTORS OF DYSMENORRHEA IN YOUNG WOMEN
Bibliographic record
Abstract
OBJECTIVE: The Aim: To evaluate risk factors for dysmenorrhea in women of reproductive age and to review its characteristics. PATIENTS AND METHODS: Material and Methods: A questionnaire was conducted among 354 women followed by a statistical analysis of the gathered data. RESULTS: Results: Among the interviewed women 84.2 % suffer from painful menstruations. Women under 25 years of age are more likely to experience pain, which reduces with age. Dysmenorrhea is more common among women whose menstrual cycles are irregular (92.5%) with a number of bleeding days 4-7 (90.7 %), though still occurring within the normal 21-35 days interval (87.6 %). Nulliparous women are more likely to experience menstrual pain (89.9 %). CONCLUSION: Conclusion: Dysmenorrhea depends on women's age, length of menstrual bleeding, length of menstrual cycle and its regularity, age at menarche and parity, but does not depend on body mass index and smoking status.
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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) | 0.000 | 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".