Stress Management Programme on the Stress of Chiang Mai University Students: A Pilot Study
Bibliographic record
Abstract
Stress is the problem that is often found in students due to their higher expectations and the changes happening at the personal, social and environmental levels. The main objective of the present study was to develop and analyze the results of a stress management programme conducted for students at Chiang Mai University, Chiang Mai, Thailand. This was quasi-experimental research, conducted according to the one-group plan. The student initiatives included five Chiang Mai University students, selected through purposive sampling after passing the initial screening. They were evaluated by completing the basic information questionnaire of the Suanprung Stress Test-20 (SPST-20) and the Suanprung Stress Test-60 (SPST-60) before and after the programme. The tools used in this study were developed from the conceptual framework according to the Canadian Model of Occupational Performance and Engagement (CMOP-E) model. The researcher used the breathing technique using the diaphragm, and muscle relaxing technique. The concept of emotional awareness was conducted according to the four foundations of mindfulness, and cognitive behavioral therapy (CBT) with group process in occupational therapy. The results of the study revealed that the sample population had significantly lower stress levels after joining the stress management programme. However, it was observed that there was no difference in the susceptibility to stress levels before or after joining the programme. In general, this stress management programme can be undertaken by other students of Chiang Mai University to monitor their stress levels.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".