Relation between Alexithymia, Psychological Resilience and Suicidal Ideation among Patients with Schizophrenia.
Bibliographic record
Abstract
Background: The lack of psychological resilience among patients with schizophrenia associated with alexithymia can exacerbate feelings of isolation, making it harder for these individuals to deal with stress and form meaningful connections with others. In which can further increase the risk of suicidal thoughts. Aim of study: Assess the relation between alexithymia, psychological resilience and suicidal ideation among patients with schizophrenia. Design: A descriptive correlational research design was utilized in this study. Setting: This study was conducted at Psychiatric Health Hospital and Addiction Treatment at Benha City, Qalubia Governorate. Study subject: Convenient sample of 100 patients with schizophrenia from hospital departments. Tools of Data collection: Four tools were used: Tool 1: Structured Interview Questionnaire. Tool 2: The Toronto Alexithymia Scale. Tool 3: The Connor-Davidson Resilience Scale. Tool 4: Beck Scale for Suicide Ideation. Results: There was a strong statistically significant positive correlation between total suicidal ideation and alexithymia among the studied patients with schizophrenia. While, there was a strong statistically significant negative correlation between total alexithymia and psychological resilience, also between total suicidal ideation and psychological resilience among the studied patients with schizophrenia. Conclusion: The study revealed that the studied patients had high level of alexithymia, psychological resilience and low risk of suicidal ideation among the studied patients with schizophrenia. Recommendations: Psycho- educational nursing programs should be conducted to improve psychological resilience, decrease alexithymia and suicidal ideation among patients with Schizophrenia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".