Determining the Effectiveness of Zen Technique on Psychological Well-being and Pain in Elderly Residents of Kahrizak Nursing Home
Bibliographic record
Abstract
Objective: This study aimed to examine the effectiveness of Zen meditation techniques on psychological well-being and pain in elderly residents. Methods and Materials: The study employed a quasi-experimental design with pre-test, post-test, and follow-up assessments and included both experimental and control groups. A total of 42 elderly residents (20 men and 22 women, aged 65-85) from Kahrizak Nursing Home in Tehran, Iran, in 2023 were randomly assigned to the groups. The experimental group received Zen meditation training over 20 sessions (100 minutes per session, three times a week), while the control group received no intervention. Psychological well-being was assessed using the Ryff Psychological Well-being Questionnaire, and pain levels were measured with the McGill Pain Questionnaire. Data were analyzed using mixed two-factor ANOVA. Findings: Results indicated that Zen meditation training significantly improved psychological well-being in the experimental group compared to the control group, with notable increases in self-acceptance, positive relations, autonomy, and personal growth. However, the effect on pain reduction was less pronounced and not significant compared to controls, although some pain reduction was observed in the post-test and follow-up assessments. Conclusion: Zen meditation training effectively enhanced psychological well-being among elderly participants, suggesting it could be a beneficial intervention for improving mental health in this population. However, the limited effect on pain highlights the need for further investigation and potentially combining Zen meditation with other pain management strategies. The study recommends more extensive longitudinal research to establish the long-term impact of meditation on well-being and pain in diverse elderly populations.
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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".