The prevalence of menstrual pain and associated risk factors among Iranian women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To estimate the prevalence of dysmenorrhea in Iranian women and investigate associated risk factors. MATERIAL & METHODS: In a cross-sectional study in Tehran, Iran in 2007, 381 women (81% response rate, age 16-56 years) were selected through a stratified random sample of 22 different districts and completed a questionnaire about dysmenorrhea. Descriptive statistics, spearman rank correlation statistic, and ordinal logistic regression models were used. Confounding and effect-modification were explored for each association. RESULTS: The prevalence of no, mild, moderate, and severe menstrual pain was 10%, 41%, 28%, and 22%, respectively. Older age and high intake of fruits and vegetables were protective factors for menstrual pain while women with family history of dysmenorrhea, higher stress and depression tended to have more severe pain. Body mass index, parity, smoking, and physical activity were not significantly associated with dysmenorrhea after controlling for potential confounding factors and effect modifiers. CONCLUSION: Menstrual pain is a common complaint in Iranian women. The inverse association between fruit and vegetable intake and dysmenorrhea, and reduction of stress and depression need to be further explored and considered in terms of recommendation to reduce dysmenorrhea.
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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 | 0.007 | 0.029 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it