Associations between patient-reported functional disability and measures of physical ability in juvenile fibromyalgia
Bibliographic record
Abstract
ABSTRACT: Juvenile fibromyalgia (JFM) is a chronic condition characterized by symptoms of pain and fatigue and is associated with sedentary behavior and functional disability. Adults with fibromyalgia exhibit deficits in physical fitness as evidenced by lower aerobic capacity and physical endurance, but it is unknown whether these impairments are apparent in adolescents with JFM. Furthermore, the extent to which functional disability and pain interference relate to measures of physical fitness has not been investigated in a pediatric pain population. During a baseline assessment for a clinical trial, 321 adolescents with juvenile fibromyalgia (M age = 15.14, 85.2% female) completed measures of pain intensity, fatigue, JFM symptom severity, functional disability, and pain interference. They also completed 2 validated fitness tasks: (1) the Harvard step test, which assesses aerobic fitness, and (2) the 6-minute walk test, a simple submaximal test of endurance. We examined associations among self-report measures and fitness assessments using bivariate correlations. We then employed hierarchical regression analyses to determine the unique contributions of physical fitness assessments to self-reported functional disability and pain interference. Results indicated that youth with JFM exhibited deficits in aerobic capacity and physical endurance. However, physical fitness explained negligible variance in functional disability and pain interference beyond that accounted for by pain, fatigue, and JFM symptom severity. Scores on available functional disability measures may reflect perceived difficulties in coping with symptoms during physical tasks rather than actual physical capability. Rigorous and sensitive assessments of physical fitness and endurance are needed to determine whether rehabilitation interventions for pediatric pain improve physical functioning.
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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 | 0.002 | 0.010 |
| 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 | 0.000 |
| Research integrity | 0.001 | 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".