Effectiveness of Quality of Life Therapy on Improving Psychological Capital and Emotion Regulation of Mothers of Patients with Neurological and Mental Disorders
Bibliographic record
Abstract
The present study aimed to evaluate the effectiveness of quality of life therapy training in improving psychological capital and emotion regulation among mothers of patients with neurological and mental disorders in Isfahan city. The statistical population consisted of all mothers of patients with neurological and mental disorders who had files at the Nooralmahdi Rehabilitation Center in Isfahan. The sample of this study included 30 mothers of patients with neurological and mental disorders who met the research entry criteria and were then randomly assigned to either the control or experimental group. While the control group was on the waiting list, the experimental group received the quality of life therapy package in 8 sessions of 90 minutes each. The research tools were the Luthans Psychological Capital Questionnaire (2007) and the Garnefski Cognitive Emotion Regulation Questionnaire (2001). Both groups were assessed in two stages, pre-test and post-test. Descriptive statistics (mean and standard deviation) and inferential statistics (multivariate analysis of covariance) were used for data analysis and examination. The results indicated that psychological capital and its dimensions significantly improved, but emotion regulation did not change in either the adaptive or maladaptive dimensions. According to the findings of this study, it can be said that quality of life therapy training is effective for improving the psychological capital of mothers of patients with neurological and mental disorders, but other complementary psychological interventions are needed to improve emotion regulation in both adaptive and maladaptive dimensions.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".