A nested case-control study evaluating the relationship between adverse childhood experiences and immune-mediated inflammatory disease in the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
OBJECTIVE: Adverse childhood experiences (ACE) have inconsistently been implicated as risk factors for immune-mediated inflammatory diseases (IMID). We evaluated whether the association of ACE with disease differs between IMID and other chronic diseases. DESIGN: Nested retrospective case-control study. SETTING: We used data from the Canadian Longitudinal Study on Aging (CLSA), which recruited participants aged 45-85 years between 2010 and 2015. PARTICIPANTS: We included 12 627 CLSA participants: 2 102 who reported diagnoses of IMID (258 multiple sclerosis (MS), 1 692 rheumatoid arthritis (RA) and 160 inflammatory bowel disease (IBD)), 5 519 with diabetes, 170 with epilepsy, 3 889 with asthma and 1 125 with no chronic diseases. ACE, including childhood maltreatment (physical, emotional and sexual abuse, neglect) and household dysfunction, were queried using questions from the Childhood Experiences of Violence Questionnaire-Short Form and the National Longitudinal Study of Adolescent to Adult Health Wave III questionnaire. PRIMARY AND SECONDARY OUTCOME MEASURES: We first evaluated whether the association of maltreatment differed across diagnoses (IMID, diabetes, asthma, epilepsy, no chronic diseases). Second, we evaluated whether the association between maltreatment differed across IMID. We repeated our analyses for different types of ACE. RESULTS: Maltreatment or household dysfunction was experienced by 64% of participants and 30% experienced both. On multivariable analysis, history of any maltreatment, sexual abuse, any household dysfunction and having ≥3 types of ACE were all associated with increased risk of IMID compared with no chronic disease. The association between ACE and IMID did not differ across MS, RA and IBD. CONCLUSION: ACE are common among Canadians with and without chronic diseases. History of any maltreatment or household dysfunction is associated with increased risk of chronic disease.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 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".