Suicidality and Associated Factors Among Individuals Assessed for Fetal Alcohol Spectrum Disorder Across the Lifespan in Canada
Bibliographic record
Abstract
OBJECTIVE: Individuals with fetal alcohol spectrum disorder (FASD) experience a range of complex neurodevelopmental, psychological, and socioenvironmental vulnerabilities. There is growing evidence that suicidal ideation, attempts, and death by suicide are significant concerns within this population. In this study, we (1) determined the rate of suicidal ideation/attempts in a large group of individuals with prenatal alcohol exposure (PAE) who were assessed for FASD in Canada and (2) investigated the associations between suicidal ideation/attempts and select demographic and biopsychosocial factors in this group. METHOD: A secondary analysis of data from Canada's National FASD Database, a national repository of clinical information gathered through FASD assessment and diagnostic clinics across the country, was conducted. Descriptive analyses, chi-square/Fisher's exact tests, and binary logistic regression were used to examine demographic and biopsychosocial variables and their associations with suicidality. RESULTS: = 17.7 years, range = 6-59; 57.6% male) assessed for FASD, 25.9% were reported to experience suicidal ideation/attempts. Numerous demographic and biopsychosocial factors were found to be significantly associated with suicidal ideation/attempts. The strongest associations with suicidal ideation/attempts were substance use, history of trauma/abuse, and impaired affect regulation. CONCLUSIONS: With this study, we contribute to the emerging evidence of elevated risk of suicidality among individuals with PAE/FASD and improve our understanding of factors that may exacerbate this risk. Findings have relevance for improving screening, prevention, and proactive treatment approaches for individuals with PAE and FASD, their families, and wider support systems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".