Access to Healthy Food and Clinical Status at the Time of Juvenile Idiopathic Arthritis (JIA) Diagnosis
Notice bibliographique
Résumé
Objectives Lifestyle factors such as diet and physical activity may impact JIA disease activity and outcomes.[1] There is a suspicion that poor access to healthy food may contribute to worse JIA outcomes.[2,3] Recent research has highlighted significant disparities in food environments and accessibility to healthy food across Canada. Therefore, this study aims to explore the potential ecological relationship of poor food accessibility with clinical and growth parameters in Canadian children with JIA. Methods Data on newly diagnosed children with JIA over a 4-year period (2017-2021) from the Canadian Alliance of Pediatric Rheumatology Investigator (CAPRI) JIA Registry were examined for clinical measures and growth parameters at enrollment (<3m after diagnosis). Data were linked to neighborhood-level food accessibility derived from the Canadian Food Environment Dataset using household postal codes Association between food accessibility measures and clinical and growth parameters were examined with Spearman’s rho correlation tests. Clinical parameters included active joint count, parent global assessment (Parent GA), childhood health assessment questionnaire (CHAQ), self-reported pain, physician global assessment of disease activity (PGADA), clinical Juvenile Arthritis Disease Activity Score (cJADAS), Quality of my life (QoML), and the Juvenile Arthritis Quality of Life Questionnaire (JAQQ). Results Among 641 JIA patients, 150 (25.2%) were overweight or obese (>85%ile). Children with poorer accessibility to fresh and nutritious retail food in their neighborhood were found to have higher body weight (rs = −0.086, p = 0.040). Surprisingly at baseline, living in neighborhoods with increased densities of fast-food stores and convenience stores was not associated with higher measures of disease activity. Higher proportion of fast-food restaurants was associated with lower active joint counts (rs = −0.088, p = 0.035), and a trend toward lower PGADA (rs = −0.078, p = 0.063) and cJADAS (rs = −0.083, p = 0.052). No significant associations were found between reduced access to healthy food and PGADA, cJADAS, JAQQ, pain, Parent GA or CHAQ scores at baseline (Table 1). Table 1. Associations between baseline clinical variables and growth parameters with neighbourhood-level food accessibility measures (r s , p-value) Conclusion These preliminary results suggest that poor accessibility to healthy food was associated with higher weight at presentation of JIA. Overall, increased access to both healthy and unhealthy food is associated with lower disease activity. We speculate this association may be related to other benefits of urbanicity. Further analyses using linear mixed models will examine the relationship between food accessibility and changes in disease activity and weight over the first year of disease. [1.] Little E. J Altern Complement Med 2019;25:643-7. [2.] Zandonadi R. Nutrients 2022;14:4412. [3.] Lites T. MMWR Morb Mortal Wkly Rep 2023;72:788-92.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».