Childhood Trauma and Chronic Illness in Adulthood: Mental Health and Socioeconomic Status as Explanatory Factors and Buffers
Bibliographic record
Abstract
Experiences of traumatic events in childhood have been shown to have long-term consequences for health in adulthood. With data from the 2005 Canadian Community Health Survey we take a life course perspective of cumulative disadvantage and examine the potential role of mental health and socioeconomic status in adulthood as multiple mediators of the link between childhood trauma and chronic illness in adulthood. Mental health and socioeconomic status are also tested as buffers against the typically adverse consequences of childhood trauma. The results suggest mental health and socioeconomic status partially explain the association of childhood trauma with chronic illness in adulthood, with mental health showing a stronger effect. In addition, an analysis of the interactions suggested higher socioeconomic status is a potential protective factor for those with a history of trauma. Results also suggest cumulative disadvantage following trauma may lead to chronic illness and suggest the need for public health expenditures on resources such as counseling and income supports to prevent or reduce psychological harm and chronic illness resulting from traumatic events.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".