Adverse childhood experiences in parents of youth with chronic pain: prevalence and comparison with a community-based sample
Bibliographic record
Abstract
INTRODUCTION: Adverse childhood experiences (ACEs) are common occurrences that are related to poor health outcomes, including chronic pain, in youth and adults. Research suggests that children of parents exposed to ACEs are also at risk of poor outcomes. However, little is known about the risk that ACEs confer for chronic pain across generations. Parent ACEs may play an important role in pediatric chronic pain, given their association with key parent factors (eg, mental and physical health). OBJECTIVES: This study evaluated the prevalence of ACEs in parents of youth with chronic pain and compared these rates to a community-based sample. METHODS: One hundred seventy parents of youth (aged 10-18 years) with chronic pain, recruited from a tertiary-level chronic pain program at a pediatric hospital in Canada, completed a self-report measure of ACEs. A comparison sample (n = 3914) was drawn from a local, community-based study that examined ACEs among adults in primary care. RESULTS: Among parents of youth with chronic pain, 67.6% reported ≥1 ACE and 23.5% reported ≥4 ACEs. Controlling for sociodemographic factors, ACEs were similar across samples, except parents of youth with chronic pain reported significantly higher rates of physical neglect (odds ratio = 2.14; 95% confidence interval = 1.35-3.40) than the community-based sample. CONCLUSION: Adverse childhood experiences are prevalent among parents of youth with chronic pain, with physical neglect reported more frequently than the community-based sample. Further research that examines the association between parent ACEs and child chronic pain, as well as neurobiological and psychosocial factors that may mediate this potential relation, is needed.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".