Effect of video-based exercise on premenstrual symptoms: a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVES: This study aims to investigate the impact of Pilates exercises on premenstrual syndrome (PMS) symptoms, perceived stress levels, and pain intensity. MATERIAL AND METHODS: Forty-six women with PMS participated in this study and were assigned to the intervention and control groups based on their willingness to participate. The intervention group undertook Pilates practices via video recording twice a week for 8 weeks, while the control group did not engage in regular exercise during the same period. PMS symptoms were assessed using the Premenstrual Syndrome Scale (PMSS), premenstrual stress levels were evaluated using the Perceived Stress Scale (PSS), and premenstrual pain levels were assessed using the McGill Melzack Pain Questionnaire (MPQ) at both the beginning and end of the study. RESULTS: There was a significant difference observed in the PMSS, PSS and MPQ evaluations of the intervention group following their participation in Pilates practices (p < 0.05). Conversely, no significant difference was observed in the PMSS, PSS and MPQ evaluations of the control group at the end of the study (p > 0.05). There was no statistically significant difference between the two groups in PMSS evaluation (p > 0.05) at the end of the study. However, a statistically significant difference was detected in PSS and MPQ evaluations (p < 0.05). CONCLUSIONS: Pilates exercise can affectively decrease the perceived stress level and pain severity in PMS affected women. This study highlights the efficacy of Pilates for physiotherapists in PMS symptom reduction. Moreover, the implementation of a self-guided video-based home exercise program could provide patients with practical and time-efficient alternatives.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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) | 0.000 | 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".