Comparison of the effects of acupressure and self-care behaviors training on the intensity of primary dysmenorrhea based on McGill pain questionnaire among Shiraz University students
Bibliographic record
Abstract
Background: Dysmenorrhea is one of the common problems during reproductive ages, with prevalence rate of 60–90%. This study aimed to compare the effects of acupressure at Guan yuan (RN-4) and Qu gu (RN-2) acupoints, self-care behaviors training, and ibuprofen on the intensity of primary dysmenorrhea based on McGill pain questionnaire. Materials and Methods: In the randomized clinical trial, 120 females, aged between 18 and 25 years, with primary dysmenorrhea, randomly selected from five dormitories of Shiraz University, Shiraz, Iran were screened and randomized into acupressure group, in that pressure was applied for 20 min over the 1 st 2 days of menstruation for two cycles. In the second group, the training group took part in four educational sessions each lasting for 60–90 min and control group received ibuprofen 400 mg. The intensity of pain before and after the intervention was measured using short-form McGill pain questionnaire. The data were entered into the SPSS statistical software (version 16) and analyzed using Kruskal–Wallis test, paired t -test, and Chi-square test. Results: A significant difference was found in the mean intensity of pain before and after the intervention in all the three study groups. The mean score of pain intensity was 10.65 ± 5.71 in the training group, 19 ± 5.41 in the control group, and 14.40 ± 6.87 in the acupressure group after the intervention. The results of Kruskal–Wallis test revealed that both interventions were more effective compared to consumption of ibuprofen. Conclusion: Training and acupressure were more effective than ibuprofen in the reduction of dysmenorrhea. Thus, they can be considered as trainable methods without side effects in adolescent girls.
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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 | 0.010 | 0.005 |
| 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 | 0.002 |
| 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 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".