Social Adjustment and Problem-Solving in the Elderly: The Role of Cognitive Emotion Regulation
Bibliographic record
Abstract
Chronic pain seems to be one of the chronic diseases associated with the elderly which causes stress in the elderly. Researchers are looking to treat this stress through non-pharmacological methods. Therefore, the present research aimed to determine the effectiveness of acceptance and commitment therapy on the reduction of perceived stress in the elderly afflicted with chronic pain. This research was a quasi-experimental study with a pretest-posttest and control group design. The statistical population included all the elderly with chronic pain living in Mashhad during 2017. For this aim, 24 of the elderly were chosen through a convenience sampling method along with inclusion criteria and placed randomly into two groups of experimental and control (with 12 members). Research tools consisted of the Cohen Perceived Stress Scale and the McGill Pain Questionnaire. Acceptance and commitment therapy was administered to the experiment group in eight 90-minute sessions, while the control grope received no intervention at the same time. Research data were analyzed using the univariate analysis of covariance (ANCOVA). Results indicated the reduction of scores of perceived stress in the experimental group in comparison to that of the control group (P<0.05). Thus, acceptance and commitment therapy appears to be effective in the reduction of perceived stress in the elderly afflicted with chronic pain. The findings demonstrate the necessity of using acceptance and commitment therapy to reduce perceived stress in the elderly. Therefore, acceptance and commitment therapy is suggested to be used to provide psychological services for 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 | 0.002 | 0.000 |
| 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 | 0.001 | 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 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".