The role of mindfulness and alexithymia in reducing depression and anxiety in women victims of spouse violence
Bibliographic record
Abstract
Introduction: Depression and anxiety of women victims of violence are affected by several personality and cognitive variables such as mindfulness and alexithymia. Aim: The aim of the present study was to investigate the role of mindfulness and alexithymia in predicting depression and anxiety in women victims of spouse violence. Method: The research design was descriptive-correlation. The statistical population consisted of 155 women victims of spouse violence who were selected by simple random sampling method and were tested using Toronto Mood Scale (TAS-20), Mindful Attention Awareness Scale (MAAS) and Hospital Anxiety and Depression Scale (HADS). The data were analyzed by SPSS-20 software and Pearson correlation coefficient and stepwise regression analyses. Results: The results showed that mindfulness and alexithymia were able to predict significantly depression and anxiety in women victims of spouse violence. Conclusion: Mindfulness and alexithymia are influential factors in depression and anxiety in women who are victims of violence. The finding can be considered as preventive programs and provide different treatment strategies for this susceptible group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".