Effect of progressive relaxation technique in reducing epileptic seizures among adolescents
Bibliographic record
Abstract
Epilepsy is a serious and a common neurological condition of which the medical, psychological and social implications are far-reaching and there is still a paucity of research in the psychology and social issues in epilepsy. The aim of this study was to examine the effect of progressive relaxation technique in reducing epileptic seizures among adolescents. The study was carried out on a convenience sample of 28 secondary school students attending the school health insurance center Beni-Suef city using a quasi-experimental design with pre-post assessment. Data collection tools included an interview questionnaire for the personal and disease characteristics; stress level was assessed using Cohen's (1994) 10-question tool. After a pretest, the researchers trained the participants in applying a stress management exercise, and asked them to practice it at home and to document the frequency and duration of daily practice using a diary for eight weeks. The post-intervention stress level was assessed using the same tool. The results revealed statistically significant changes in all ten items of the stress scale, with a median post-pre total difference of -0.3 ( p < .001). The number of seizures decreased from a median of 3/week to one seizure in the last four weeks of follow-up ( p < .001). A statistically significant weak negative correlation was found between the frequency of seizures and the number of progressive relaxation techniques practiced. The study findings indicate the effectiveness of a simple technique in improving the life of adolescents having epilepsy. However, the small sample size could not show the correlation between the practice of this relaxation technique and the frequency of the seizures. A randomized controlled clinical trial is recommended to confirm the findings.
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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 | 0.001 |
| 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".