Menstrual Pain Intensity, Coping, and Disability: The Role of Pain Catastrophizing
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
OBJECTIVE: Menstrual pain or primary dysmenorrhea has not received much attention in the field of pain research. Little is understood about the effects menstrual pain has on the women who experience it. No studies to date have examined the cognitive factors related to the perceived intensity and coping of menstrual pain. To investigate these areas further, this study examined the associations between pain catastrophizing and how women perceive and cope with menstrual pain. DESIGN: A prospective and retrospective between-subjects study. PARTICIPANTS: Ninety-three undergraduate women, with a regular menstrual period and no preexisting pain disorder (e.g., endometriosis) that affects menstrual pain, were classified into high or low pain catastrophizing groups. OUTCOME MEASURES: Participants completed several self-reported questionnaires assessing pain catastrophizing, menstrual pain intensity, coping, and disability. RESULTS: High pain catastrophizers, in comparison with low pain catastrophizers, reported greater menstrual pain intensities, greater affective menstrual pain intensity, greater variability in the use of pain coping strategies, lower perceived effectiveness of over-the-counter medications and nonmedical pain coping strategies, and greater disability. CONCLUSIONS: The results extend our knowledge about the associations between pain catastrophizing and menstrual pain, reemphasize that pain experience is best viewed as a multidimensional construct, and have implications for the management of menstrual pain.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 it