A21: Physical Activity in Children with Juvenile Idiopathic Arthritis (JIA): The LEAP (Linking Exercise, Activity, and Pathophysiology in Childhood Arthritis) Study
Notice bibliographique
Résumé
Background/Purpose: Although children with JIA have lower fitness levels than healthy peers, little is known about their level of habitual physical activity. The LEAP study is a prospective longitudinal multicentre study of children and teens with JIA, aimed at describing the trajectory of physical activity (PA) in JIA, and its relationship to disease factors, inflammation, quality of life, bone health and muscle function. We report PA levels of children with JIA in early and late disease at study entry. Methods: We enrolled patients with JIA (aged 8–16 y) at 12 pediatric rheumatology centres in Canada as either an inception cohort (early disease; within 6 mos of diagnosis) or an established disease cohort (late disease; > 2yr after diagnosis). We assessed PA with a validated Physical Activity Questionnaire for children (PAQ‐C, age 8–13 y) or teens (PAQ‐A, age 14–16 y). This 7‐day recall self‐report tool has scores from 0 (no PA)‐ 5(high PA). Participants record weekly PA across a wide range of activities and sports. Patients completed a pain scale (VAS 0–100), the Childhood Health Assessment Questionnaire (CHAQ), and Juvenile Arthritis Quality of life Questionnaire (JAQQ). Examining physicians recorded physician global assessment of disease activity (PGA;VAS 0–100) and active joint count. We used univariate and multivariate regression (controlled for gender) to examine relationships between disease and patient factors and PAQ score at study entry. We used PAQ standard population normative values to compare to subjects (female 2.69, SD 0.62; male 3.0 SD 0.72). Results: We included the first 189 patients enrolled (126 F, 63 M, med age 13 y) from March 2012–November 2013. The early cohort included 81 patients (enrolled median 2.4 mo after diagnosis) and the late cohort included 108 patients (enrolled median 4.8 yr after diagnosis). Active arthritis was found in 88 patients, with a mean of 5.5 active joints (range 1–56). PGA was a mean of 13.45 (range 0–74). Overall mean PAQ score for the JIA patients was 2.55 (SD 0.73, range 1–4). Table describes PAQ scores by sex, disease cohort, and presence of active arthritis. When controlled for sex, PAQ scores were significantly different between new onset and late disease, and between patients with active arthritis compared with no active arthritis. Univariate analyses revealed that higher PAQ score were associated with lower pain (p = 0.02), lower CHAQ score (p < 0.0001), higher JAQQ score (p = 0.0001), lower active joints (p = 0.002) and low PGA (p = 0.003). Multivariate analysis confirmed these associations, with R 2 = 0.25, p = 0.000 (girls), R 2 = 0.17, p = 0.01 (boys). PAQ scores in patients with JIA Total Female (mean, SD) Female z‐score (mean, SD) Male (mean, SD) Male z‐score (mean, SD) Total 2.5 (0.73) 2.43 (0.66) −0.40 (1.05) 2.77 (0.81) −0.31(1.13) Early disease 2.42 (0.77) 2.29 (0.66) −0.63 (1.05) 2.59 (0.9) −0.44 (1.3) Late disease 2.65 (0.68) 2.53 (0.64) −0.4 (1.04) 2.94 (0.68) −0.07 (0.94) Active joints present 2.36 (0.76) 2.13 (0.59) −0.88 (0.94) 2.77 (0.85) −0.2 (0.85) No active joints 2.71 (0.67) 2.66 (0.6) −0.04 (0.95) 2.77 (0.78) −0.31 (0.78) Conclusion: Children with JIA report significantly lower levels of PA than healthy peers; this was evident in girls, patients with active arthritis, and in early disease. Disease activity, pain, self reported quality of life and functional status may play a role in moderating PA in JIA.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».