Exploring Pain Adaptation in Youth With Juvenile Idiopathic Arthritis: Identifying Youth and Parent Resilience Resources and Mechanisms
Bibliographic record
Abstract
OBJECTIVE: Although juvenile idiopathic arthritis (JIA) is often associated with pain, this experience does not necessitate negative outcomes (eg, depression, functional impairment). Little research has explored youth and parent resilience resources (ie, stable traits) and mechanisms (ie, dynamic processes) in this context, and studies have focused on their contributions independently rather than collectively. This study, informed by the Ecological Resilience-Risk Model in Pediatric Chronic Pain, sought to (1) explore the relationships among youth and parent resilience resources and mechanisms and (2) identify the relative importance (RI; ie, independent contributions when entered simultaneously) of evidence-based youth and parent resources and mechanisms in contributing to youth-reported recovery, sustainability, and growth outcomes. METHODS: Youth (13-18 years) with JIA and their parents (156 dyads) completed a battery of online questionnaires assessing resilience resources (optimism, resilience), mechanisms (psychological flexibility, pain acceptance, self-efficacy), recovery and sustainability (pain intensity, functional disability, health-related quality of life), and growth (benefit finding) outcomes. RESULTS: Analyses demonstrated significant positive correlations across within-person resources and mechanisms and weaker correlations across within-dyad resources and mechanisms. Although the RI of predictors varied by outcome, youth pain acceptance was the most robust predictor across models (RI = 0.03-0.15). Some predictors (eg, parent psychological flexibility and pain acceptance) were generally categorized as "Not Important," whereas others (eg, youth resilience) had "Inconclusive" results, suggesting construct overlap. CONCLUSION: Although additional research is needed to further understand resilience, results highlight the importance of fostering pain acceptance in youth and incorporating parents in psychosocial interventions to optimize living with JIA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".