Correlations between adolescent suicide & antidepressant prescriptions in quebec, 2004-2005
Bibliographic record
Abstract
Background and Aims:The province of Quebec holds one of the highest rates of adolescent suicide in the world. Moreover, it appears that the vast majority of its teenage suicide completers are Canadians of French origin, although the highest incidence is being found in the Native Canadians communities. Adolescent suicide risk factors already recognized in the literature include mood disorders, older age, male gender, poor parent-child communication and substance abuse. Recent studies have been showing that adolescent suicide rates and antidepressant prescriptions appears to be negatively correlated. The main goals of this retrospective study were 1) to study the correlations between Quebec regional adolescent suicide rates and regional 2nd-generation prescriptions in 2004-2005 and 2) to study the consequences on teenage suicide rates of the 2004 U.S. FDA black-box suicidality warning made for adolescents taking antidepressant medication.Methods:All (n = 533) files on suicides committed by individuals 19 years and younger in a seven-year period (1999-2005) were reviewed at the Quebec Coroner Office. Socio-demographical, clinical and psychosocial variables were used to compare suicide completers according to their region. Antidepressant prescriptions data for 2004 and 2005 was obtained from IMS Health Canada.Results:The negative correlation established between regional suicide rates and regional antidepressant prescriptions was not statistically significant in 2004 but became statistically significant in 2005 (p = 0.018).Conclusions:The results are so far concordant with current literature findings. This ongoing study (until 2009) will hopefully result in recommendations on the use of antidepressants in the pediatric population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".