Stressful Life Events Antedating Chronic Childhood Arthritis
Bibliographic record
Abstract
OBJECTIVE: To investigate associations between antecedent stressful life events and occurrence of juvenile arthritis (JA). METHODS: The study population comprised patients with JA referred to a pediatric rheumatology clinic between 1981 and 2010. A questionnaire, which was developed as a screening tool by the clinic, was completed at the first clinic visit by patients' parents and, for comparison, by parents of unrelated age, sex, geographically, and temporally matched healthy controls. The entire questionnaire captured a broad array of clinical, demographic, psychosocial, and environmental data, including questions about stressful life events from 686 patients with JA and from 1042 controls. RESULTS: Patients were more likely to have experienced a serious upset (OR 4.81; p < 0.0001), a currently ill family member (OR 2.29; p < 0.0001), separated parents (OR 1.96; p < 0.0001), or difficulties with interpersonal relationships (OR 2.54; p < 0.0001) prior to first clinic presentation compared to controls. Children with oligoarticular JA were more likely than controls to have experienced a serious upset (OR 3.46; p = 0.008), an ill family member (OR 3.79; CI 2.02, 7.11; p < 0.0001), or problems with interpersonal interactions (OR 3.32; p < 0.0001). Children with polyarticular JA were more likely to have experienced a serious upset (OR 5.68; p < 0.0001), separated parents (OR 2.66; p = 0.001), a deceased parent (OR 6.75, p = 0.017), or problems with interpersonal relationships (OR 2.39; p = 0.009). No significant differences were observed when comparing systemic JA patients to controls. CONCLUSION: Strong associations between stressful life events antedating the first clinic visit of patients with JA indicate that life event stresses should be identified and addressed when first encountering and managing children with JA.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".