Relationship between spirituality and suicidal ideations among patients with major depressive disorder
Bibliographic record
Abstract
Background and objective: Suicide still constitutes to be a critical and risky issue requiring preventive strategies. There is evidence to suggest that spirituality is vital to the process of discovering meaning in life and plays an important role in dealing with suicidal desire. The aim of this study was to investigate the relationship between spirituality and suicidal ideations among patients with major depressive disorder.Methods: Design and participants: A descriptive correlational design was utilized in the current study. A purposive sample of 181 patients with major depressive disorder was recruited. Setting: The study was conducted at inpatient psychiatric department of Tanta University and Neurology, Psychiatry, and Neuro-Surgery Center. Both hospitals are under the supervision and direction of the ministry of higher education. Tools: Four tools were used to collect data; socio-demographic and clinical characteristics structured interview schedule, Beck Depression Inventory, Daily Spiritual Experience Scale, and Scale for Suicide Ideation.Results: The current study indicated a statistical significant negative correlation between depression and spirituality. Also, a statistical significant negative correlation was found between spirituality and one subscale of suicide which is active suicide desire subscale. On the other side, there was a statistical significant positive correlation between depression and total score of suicide.Conclusions: Higher levels of spirituality may help buffer risk of active suicide desire and promote protective effect against depression. Recommendation: interventions that aim at increasing spiritual involvement and practice may be beneficial in reducing depressive symptoms and suicide desire.
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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 | 0.003 |
| 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) | 0.001 | 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".