The role of life events and childhood experiences in the development of rheumatoid arthritis.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the role of stressful life events, including negative childhood experiences on the development of rheumatoid arthritis (RA). METHODS: Retrospective, community based, case-control study founded upon 116 cases, aged 45 to 74 years, registered with the Norfolk Arthritis Register (NOAR), who were also participants in the Norfolk European Prospective Investigation of Cancer study (EPIC). Three controls, matched for age and sex, were selected for each of the cases from among EPIC participants not suffering from arthritis. Data on adverse experiences during childhood and adulthood were available from a self-report questionnaire. The 1987 American Rheumatism Association (ARA) criteria for RA were met by 55 NOAR cases and this subset provided the primary focus for analysis. RESULTS: The number and timing of occurrence of stressful life events, as well as their subjective immediate impact, did not differ between participants who developed RA and their matched controls. Termination of pregnancy was the only specific event individually associated with a higher risk of developing RA (OR 3.74; 95% CI 1.4-9.9). Negative childhood experiences were not associated with the risk of RA. However, RA cases reported significantly slower adaptation to the effects of adverse events than controls. CONCLUSION: The results of this study do not support the hypothesis that the rate of exposure or reported impact of stressful life events and of adverse childhood experiences play an etiologic role in the development of RA.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".