Effect of an Exercise Intervention Based on General Adaptation Syndrome Model on Psychological Experience in Community-Dwelling Elderly
Bibliographic record
Abstract
Background: With the intensification of population aging globally, the mental health of the elderly is not only related to their personal well-being but also directly affects family harmony and social stability. However, few studies have been conducted on interventions for mental health issues in the elderly. Methods: From September to December 2023, a total of 164 elderly individuals were recruited from Ronghui Shanshui community through random cluster sampling and randomly divided into the control and experiment groups. The experiment group was given a three-month intervention based on general adaptation syndrome model, whereas the control group was given no intervention. At the end of the intervention period, an effect comparison was conducted between the two groups using the Physical Activity Rating Scale, University of California at Los Angels (UCLA) Loneliness Scale, and Memorial University of Newfoundland Scale of Happiness. Results: After the intervention, the well-being of the experiment group increases significantly and is significantly higher than that of the control group (P < 0.05). After the intervention, the loneliness of the experiment group decreases significantly and is significantly lower than that of the control group (P < 0.05). Exercise participation significantly mediates the relationship between the intervention and psychological experience (P < 0.001). Conclusion: This intervention model is not only beneficial for improving positive psychological experience in the elderly but can also effectively reduce their negative psychological experience. This study provides valuable reference for scientific intervention in the mental health of the elderly.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".