THE EFFECTS OF KINESIOLOGICAL TAPING AND AEROBIC EXERCISE IN WOMEN WITH PRIMARY DYSMENORRHEA: A RANDOMİZED SINGLE-BLIND CONTROLLED TRIAL
Bibliographic record
Abstract
Purpose: This study aimed to investigate the effects of kinesiological taping (KT) and aerobic exercise (AE) on pain, menstrual attitude, depression, and quality of life (QoL) in women with primary dysmenorrhea (PD).Methods: Forty-five participants diagnosed with PD were randomly assigned into three groups: KT group (n=15), AE group (n=15), and control group (n=15).The KT group received taping twice a week over 3 weeks, starting from the 14 th day of the menstrual cycle until the end of the cycle.The AE group performed moderate-intensity AE for 45 minutes twice a week for 3 weeks, following the same schedule.The control group received no intervention.Participants were evaluated on the 14 th day of the cycle and after 3 weeks using the McGill Pain Questionnaire (MPQ) for pain, the Menstrual Attitude Scale (MAS) for attitude, the Beck Depression Scale (BDS) for depression, and the short form-36 (SF-36) for QoL.Results: Within-group analyses showed significant improvements in MAS and SF-36 in the KT group, and in MPQ in the AE group (p<0.05).No significant changes were observed in the control group (p>0.05).Time*Group interaction analysis revealed a significant improvement in MPQ favoring the AE group and in MAS favoring the KT group (p<0.05).Conclusion: These findings suggest that KT may improve menstrual attitude, while AE may reduce pain in women with PD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".