Investigating the contribution of childhood maltreatment to suicide attempt: A multivariable Mendelian randomization study
Bibliographic record
Abstract
• Childhood maltreatment has been associated with suicide attempt. • Few quasi-experimental studies have accounted for the confounding factors. • Mendelian randomization was used to account for confounding factors. • Maltreatment contributed to a 4-fold increase in suicide attempt risk. • This was mostly explained by mental disorders, socioeconomic, and cognitive factors. Childhood maltreatment has been associated with suicidal behavior. However, whether this risk is causal and uniquely due to consequences of childhood maltreatment such as mental disorders, socioeconomic difficulties, and cognitive skills impairments needs clarification. We investigated direct and indirect contributions of childhood maltreatment to suicide attempt using a two-sample multivariable Mendelian randomization design. We used 7 single nucleotide polymorphisms from the childhood maltreatment genome-wide association study as instruments for childhood maltreatment. Multivariable Mendelian randomization was used to investigate the association of childhood maltreatment with suicide attempt accounting for risk of major psychiatric disorders (major depression, schizophrenia, attention-deficit/hyperactivity disorder), cognitive factors, and socioeconomic factors. Evidence supported a possible causal role of childhood maltreatment on suicide attempt (OR 4.36, CI 2.36-7.97). Significant associations with suicide attempt were identified for subtypes of maltreatment (physical abuse, physical neglect, emotional abuse, emotional neglect, sexual abuse), although unclear for sexual abuse. In multivariable analyses, childhood maltreatment was associated with suicidal attempt independently from selected mental disorders, socioeconomic factors, and cognitive factors although these factors accounted for most of the association (OR 1.51, CI 1.10-2.09). To prevent suicide among children exposed to maltreatment, it may be important to combine interventions to reduce mental disorders, psychosocial intervention, and suicide-specific preventive intervention.
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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 | 0.020 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".