Adverse Childhood Experiences Moderate the Relationship Between Pain and Later Suicidality Severity Among Youth: A Longitudinal High-Risk Cohort Study
Bibliographic record
Abstract
Pain in adolescence can lead to the development of serious mental health issues, including suicidality. This risk may be strengthened among youth exposed to more adverse childhood experiences (ACEs; abuse, neglect, household challenges). This longitudinal study examined the role of ACEs in the relationship between pain and later suicidality onset and severity among a cohort of adolescents at risk for developing mental health problems. Participants were 139 healthy youth ( M age =13.74 years, SD =1.56, 64% female) between the ages of 11-17 years, recruited based on parental history of depression or anxiety. Youth completed validated measures of internalizing symptoms, ACEs, and pain characteristics at baseline and follow-up diagnostic interviews 9- and/or 18-months later to assess for onset and severity of suicidality. After controlling for demographics, baseline internalizing symptoms, and ACEs, worse pain interference and increased ACEs at baseline predicted increased suicidality severity at follow-up. Moderation analyses revealed that there was a significant interaction between ACEs and pain interference and pain intensity. Increased pain interference ( b = 7.65, p <.0001) or intensity ( b = 6.96, p =.0003) was only associated with increased suicidality severity at follow-up in youth with high levels of ACEs. This study demonstrates that ACEs strengthen the relationship between pain and later suicidality severity among youth at risk of developing mental health problems. Findings underscore the critical need to adopt a trauma informed lens to pediatric pain prevention and treatment (e.g., screening for ACEs), and for pain to be on the child mental health agenda. Perspective This article provides evidence that while pain is a risk factor for future increased suicidality severity, it is a particularly strong risk factor in youth who experienced increased childhood adversity. These results may help identify youth at greatest risk for suicidality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".