Premenstrual Syndrome and Spousal Social Support among Women in Isfahan City (Iran)
Bibliographic record
Abstract
Premenstrual Syndrome (PMS) is one of the most common disorders in women known to cause impairment of daily function and relationships with others. This study was down to investigate the premenstrual syndrome, physical activity and spousal social support status among women in Isfahan city. This descriptive-analytical study was down in health centers of Isfahan city in Iran 2015. The study populations were 190 couples in reproductive age; symptoms of premenstrual syndrome and spousal social support information were collected by self-report questionnaires. American College of Obstetricians and Gynecologists (ACOG) criteria were used to diagnose PMS. Data were analyzed by SPSS20. According to the data 79.5% of women were diagnosed with premenstrual syndrome. Desirable spousal social support in premenstrual and during the period were obtained in 12.6% and 16.3% respectively. Considering the large number of women suffering from PMS and unfavorable situation of spousal social support, holding educational programs for women and men to deal better with this issue are recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 source (direct Gemma or distilled Codex), 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".