Anxiety and Depressive Symptoms in Juvenile Idiopathic Arthritis Correlate With Pain and Stress Using PROMIS Measures
Bibliographic record
Abstract
Objective Describe anxiety and depressive symptoms in children with juvenile idiopathic arthritis (JIA) using Patient Reported Outcomes Measurement Information System (PROMIS) measures and evaluate potential correlations with disease manifestations. Methods We performed a cross-sectional study of children with JIA and a parent proxy who completed PROMIS measures on depression, anxiety, stress, and pain. The Childhood Health Assessment Questionnaire (CHAQ) measured mobility, and the clinical Juvenile Arthritis Disease Activity Score in 10 joints (cJADAS10) measured disease activity. Results Eighty-four patients completed the study. Demographic median values included age (14 yrs), disease duration (4.73 yrs), CHAQ score (0), total active joint count (0), and cJADAS10 (2). Using cJADAS10, 57 patients (70%) had inactive or low disease activity. Mean PROMIS t- scores for depressive and anxiety symptoms were lower in children with JIA compared to the reference population ( P < 0.0001). Nineteen patients (23%) had moderate to severe symptoms of anxiety and/or depression. Age and CHAQ score (mobility) correlated with depressive symptoms ( r = 0.36, P =0.0008 and r = 0.32, P = 0.0029, respectively) but not anxiety. Depressive and anxiety symptoms correlated with pain ( r = 0.64 and r = 0.47, respectively, P < 0.0001) and stress ( r = 0.79 and r = 0.75, respectively, P < 0.0001) but not with sex, JIA subtype, disease duration, or disease activity. Conclusion Approximately one-quarter of children with JIA reported moderate to severe symptoms of anxiety and depression. These symptoms are associated with pain and stress, but they are not associated with other disease manifestations. Understanding how mental health symptoms and JIA affect each other is necessary in order to improve patient outcomes and provide well-rounded care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".