Preliminary findings from caregiver reports on suicidality and contextual risk factors in Canadian minoritized youth with fetal alcohol spectrum disorder
Bibliographic record
Abstract
Objectives Individuals with prenatal alcohol exposure (PAE) and fetal alcohol spectrum disorder (FASD) experience a range of biopsychosocial vulnerabilities that can increase their risk for negative outcomes, including suicidality. Experiences of suicidality in youth can have tremendous impacts on caregivers and families. Although there is mounting evidence for the elevated rates of suicidality among individuals with FASD, very little is known about the full spectrum of suicidality (i.e. frequency, severity, and duration of current and lifetime suicidal ideation and/or behaviours) in these individuals.Methods To better comprehensively characterize suicidality and explore contextual factors among youth with PAE/FASD, we conducted an online survey using the Columbia-Suicide Severity Rating Scale (CSSR-S) with 22 caregivers to leverage their wisdom and experiences related to suicidality.Results Caregivers highlighted the notable acuteness, severity, and persistence of suicidality among their youth with PAE/FASD. In addition, open-ended qualitative responses revealed important information regarding the context surrounding suicidality for youth with PAE/FASD, including a reactive response to frustration or conflict, shame and not fitting in, and a general sense of hopelessness.Conclusions Caregiver responses in this study highlight the critical need for comprehensive PAE/FASD-informed suicide prevention and intervention strategies to promote the mental health and wellbeing of individuals with PAE/FASD and their families.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".