Suicide-risk-related factors in a psychiatric patient cohort: a cross sectional study on outpatients, inpatients, and therapeutic community patients
Bibliographic record
Abstract
BACKGROUND: Suicide constitutes a significant global health concern. Joiner's interpersonal-psychological theory of suicide focuses on three variables: Thwarted Belongingness (TB), Perceived Burdensomeness (PB) and Acquired Capability for Suicide. METHODS: A sample of 90 psychiatric patients, comprising outpatients, inpatients and individuals residing in therapeutic communities, was recruited between 2021 and 2022. Scales measuring anxiety, depression, mental pain, reasons for living, TB, PB and fearlessness about death were administered. Patients with and without suicidal ideation (SI), as well as those with and without history of suicide attempt (SA) were compared and two stepwise logistic regression models were performed. RESULTS: Both patients with SI and with SA had higher anxiety, depression, mental pain, PB, fearlessness about death and lower self-esteem. Notably, depression, PB and beliefs about coping strategies were strongly associated with SI, while higher fearlessness about death and PB were strongly linked to history of SA. Additionally, inpatients and therapeutic community patients were at higher risk of suicide and had higher levels of depression compared to outpatients. LIMITATIONS: The small sample size and the inclusion of patients with mixed psychiatric diagnoses limit the generalizability of the findings. The cross-sectional design hinders causal hypotheses about the relationship between current SI or past SA and potential risk factors. The use of self-report measures entails biases. The analyses did not include details about pharmacological treatments. CONCLUSIONS: SA history could be explained by fearlessness about death. Improving the ability to cope with suicidal thoughts constitutes a pivotal component of therapeutic interventions with suicidal patients.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".