EVALUATION OF SUICIDAL BEHAVIOR AND DEPRESSION, INSIGHT AND DISEASE CHARACTERISTICS IN SCHIZOPHRENIA
Bibliographic record
Abstract
Introduction: Suicide is a severe public health issue with high rates of morbidity and mortality. Schizophrenia also has a high suicide incidence, which is one of the main factors contributing to rising morbidity and mortality. For strategies to lower suicide rates, it is essential to understand the risk factors for suicide in people with schizophrenia. By evaluating the relationship between the risk of suicidal behavior and demographic factors, disease characteristics, depression, and insight in schizophrenia patients, in the light of literature information, this study aimed at preventing suicide in schizophrenia and set an example for future studies. Method: This study included 103 schizophrenia patients who underwent follow-up for at least 4 years in a community mental health center (CMHC). The study included patients who had the mental capacity to understand and complete the questionnaires, were not experiencing an acute psychotic attack, and gave their consent to participate. The patients were given the Three Components of Insight Scale (TCIS), Scale for Evaluation of Positive Symptoms in Schizophrenia (SAPS), Scale for Evaluation of Negative Symptoms in Schizophrenia (SANS), Calgary Depression Inventory in Schizophrenia (CDIS), and Suicide Behavior Scale (SBS). Results: 47% of patients demonstrated suicidal behavior, and 69% of patients were men. 46% of the group demonstrating suicidal behavior had severe or very severe suicidal ideation. Age and disease duration were revealed to be significant risk factors for suicidal behavior (p=0.033 and p=0.004, respectively), but gender, SBS, CDIS, SANS, SAPS, and TCIS scores had no significant effect. Age and suicidal behavior risk were found to be inversely correlated, with each unit of age increase reducing the risk of suicidal behavior by 0.929 times. The risk of suicidal behavior rises along with the duration of disease. With every one unit increase in the duration of disease, the risk of suicidal behavior increases by 1.133 times. Additionally, the group with severe-very severe suicidal ideation had significantly more severe depression scores than the group with mild-moderate (p=0.01). Discussion: More than half of the patients with schizophrenia who were followed up showed suicidal behavior, and approximately half of the group who had suicidal ideation showed severe suicidal ideation. Suicidal behavior was found to be correlated with age and duration of illness. While suicidal behavior increases age decreases and duration of illness increases.There was no significant correlation between insight, depression, gender, symptom severity and suicidal behavior in this population. In addition, depression scores were found to be statistically significantly higher in the group with severe-very severe suicidal ideation. According to the research, in individuals with schizophrenia who were being monitored, the frequency of suicidal behavior increased along with the severity of depression. Conclusion: It is crucial to identify the risk factors and protective factors for suicide in schizophrenia patients in order to develop interventions for them. Because suicidal behavior is a significant morbidity and mortality factor in 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".