Health‐related quality of life in adolescents with juvenile idiopathic arthritis
Bibliographic record
Abstract
OBJECTIVE: To describe the health-related quality of life (HRQOL) of adolescents with juvenile idiopathic arthritis (JIA), and to examine the usefulness of the Juvenile Arthritis Quality of Life Questionnaire (JAQQ) in a UK context. It was hypothesized that HRQOL would decrease with worsening disease and disability. METHODS: Patients with JIA ages 11, 14, and 17 years were recruited from 10 major rheumatology centers. HRQOL was measured using the JAQQ. Other data were core outcome variables including the Childhood Health Assessment Questionnaire, demographic characteristics, arthritis-related knowledge, and satisfaction with health care. RESULTS: Questionnaires were completed by 308 adolescents. One-fifth had persistent oligoarthritis. Median disease duration was 5.7 years (range <1-16 years). The JAQQ was shown to have good psychometric properties when used in the UK, but was not without limitations. HRQOL of adolescents with JIA was less than optimal, particularly in the domains of gross motor and systemic functioning. Items most frequently rated as adolescents' biggest psychological problems were "felt frustrated" and "felt depressed," rated by 30.2% and 23.4%, respectively. These were particularly problematic for the 17-year-olds, with 39% reporting frustration as one of their biggest problems and 63.6% reporting depression. Variation in the adolescent JAQQ scores was explained by functional disability, pain, and disease activity. CONCLUSION: JIA can have a significant adverse effect on the HRQOL of adolescents. The JAQQ is a useful tool to assess the HRQOL of UK adolescents with JIA, but there is need for improved measures that incorporate developmentally appropriate issues.
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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 | 0.003 |
| 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 | 0.000 | 0.001 |
| 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".