The role of alexithymia and mindfulness in predicting depression and anxiety in women with cancer
Bibliographic record
Abstract
Introduction: Depression and anxiety in cancer patients are associated with a variety of cognitive and personality variables such as alexithymia and mindfulness. Aim: The present study aimed to investigate the role of alexithymia and mindfulness in predicting depression and anxiety in women with cancer. Method: The research method is correlational and predictive. The statistical population consisted of all female patients with cancer covered by Arezoo Charity Institute in Pars Abad (1979). 120 women with cancer were selected through purposive sampling from the statistical population and participated in this study. The data were collected using Toronto Alexithymia Scale (TAS-20), Mindful Attention Awareness Scale (MAAS) and Hospital Anxiety and Depression Scale (HADS), and analyzed by SPSS-20 software, Pearson correlation coefficient and stepwise regression analysis. Results: The findings of this study showed that alexithymia and mindfulness can predict depression and anxiety in women with cancer significantly (P<0.01). Conclusion: Alexithymia and mindfulness are important factors in the depression and anxiety of cancer patients. Therefore, it is necessary to emphasize psychological interventions focused on these variables in educational, prevention and treatment programs of these patients.
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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 | 0.001 |
| 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) | 0.000 | 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".