Related Factors and Consequences of Menstrual Distress in Adolescent Girls with Dysmenorrhea
Bibliographic record
Abstract
This study investigated symptoms, related factors, and consequences of menstrual distress in adolescent girls with dysmenorrhea. A total of 198 participants were recruited by convenience sampling from a technical college in Tainan County, Taiwan. Four instruments were used to collect data: a Demographic Data Questionnaire, a Menstrual Distress Questionnaire, the Short Form McGill Pain Questionnaire, and an Adolescent Menstrual Attitude Questionnaire. The top five symptoms of menstrual distress were cramps, fatigue, backache, swollen abdomen, and tender breasts. Results of stepwise multiple regression indicated that the best subsets for predicting adolescent menstrual distress, including age, mother's occupation, menstrual pain, and menstrual attitude, accounted for 59% of total variance. From the correlation analysis, the more severe the menstrual distress, the higher the impact on daily activities as well as the more frequent the absence from class and analgesic usage. The results of this study may provide a useful reference for school nurses designing menstrual health programs for adolescents.
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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 | 0.003 |
| 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) | 0.001 | 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".