Spirituality and religion in youth suicide attempters' trajectories of mental health service utilization: the year before a suicide attempt
Bibliographic record
Abstract
OBJECTIVE: Youth suicide attempters are high-risk for suicide. Many have untreated mental disorders and are not receiving services. It is crucial to understand potential influences associated with service use. Spirituality/religion are one influence in youths' mental health service trajectories. This study explored youths' experiences of spirituality/religion as it relates to their help-seeking the year before their suicide attempt. METHOD: Fifteen youth (aged 14-18) who made a suicide attempt(s) one to two years prior were consecutively recruited through the Depressive Disorders Program of a psychiatric hospital and interviewed using a mixed-methods design, including an adapted psychological autopsy method. RESULTS: THREE THEMES EMERGED: religious community members acted as a bridge, step, or provider to mental health services; religious/spiritual discourses were encountered within services; and many youths reported changes in spirituality/religious beliefs the year before their suicide attempt. CONCLUSIONS: Spirituality/religion can have a role in these youths' service trajectories. How this confers protection or challenges needs to be clarified. Our findings can inform policies supporting training religious leaders about suicide intervention to foster coordination with mental health services, and service-providers in judiciously approaching spiritual/religious themes in suicide prevention.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".