The association between adverse childhood experiences (ACEs) and suicide attempts in a population‐based study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To further our understanding of the relationship between Adverse Childhood Experiences (ACEs) and suicidal behaviour, this study investigates the association between three types of ACEs and lifetime suicide attempts, while considering potential gender-specific and mediating effects. METHODS: Data were obtained from the 2012 Canadian Community Health Survey-Mental Health (CCHS-MH), a cross-sectional, population-based survey comprised of respondents aged 18 or older who provided self-reported data on past experiences of suicide attempts, as well as childhood sexual abuse (CSA), childhood physical abuse (CPA) and parental domestic violence (PDV) (n = 22 559). After testing for ACE by gender interactions, we estimated the odds of lifetime suicide attempts for each ACE and then investigated whether depression, anxiety, substance abuse and chronic pain acted as mediators of the relationship. RESULTS: The odds of suicide attempts are significantly higher among those with a history of CPA (OR = 3.29; 99.9% CI 2.33-4.64), CSA (OR = 4.42; 99.9% CI 3.14-6.23) or PDV (OR = 2.52; 99.9% CI 1.69-3.76), when ACEs are mutually adjusted. There is little evidence that gender acts as a moderator; however, depression, anxiety, substance abuse and chronic pain appear to partially mediate the associations. Depression alone accounts for about a quarter of the associations with CSA and CPA. CONCLUSIONS: Mental health factors and chronic pain appear only to partially mediate relationships between ACEs and lifetime suicide attempts. Future research should look at other pathways with the goal of developing multi-level interventions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it