Biopsychosocial Determinants, Diet Quality, Gastrointestinal Health, and Disease Activity in Adults With Rheumatoid Arthritis: Cross-Sectional Descriptive Study
Notice bibliographique
Résumé
BACKGROUND: Rheumatoid arthritis (RA) causes pain, fatigue, joint deformity, disability, and an increased risk for serious sequelae, often despite treatment, in 1.3 million Americans. RA is affected by numerous biopsychosocial determinants, which greatly complicate treatment, including altered efficacy. OBJECTIVE: The purpose of this study is to examine associations between individual biopsychosocial determinants, diet quality, gastrointestinal (GI) health, and disease activity in adults with RA. METHODS: This cross-sectional, descriptive study has been approved by the Northern Arizona University Internal Review Board (# 2111208-12). We will include 96 adults with RA recruited from across Arizona using social media and community events (through the Arthritis Foundation) and various primary care and rheumatology practices in Flagstaff and the greater Phoenix metro area. Individual biopsychosocial factors will be measured with a demographic survey and direct measures. The Arizona Food Frequency Questionnaire will measure dietary intake for the past 6 months, and Healthy Eating Index-2020 scores will be calculated from these data. The Automated Self-Administered 24-hour diet recall will measure recent dietary intake. Fecal analyses for gut microbiome diversity and composition and fecal calprotectin will measure current GI health. Disease activity will be measured by the Health Assessment Questionnaire-Disability Index and pain scale, Disease Activity Score of 28 Joints, and hematology results (C-reactive protein and erythrocyte sedimentation rate). In addition to descriptive statistics, hierarchical linear regression will examine hypothesized associations between diet quality, GI health, and disease activity. We hypothesize that individual biopsychosocial determinants will be associated with diet quality, which will be indirectly associated with disease activity through gut microbiome diversity and level of GI inflammation in adults with RA. RESULTS: This study was funded in February 2024. As of December 19, 2025, a total of 80 individuals have been recruited. Data analysis has not yet commenced at the time of manuscript submission. Study results are expected to be published in fall 2026. CONCLUSIONS: RA is a complicated disease that impacts millions. Few individuals reach sustained remission, even while following provider recommendations. A better understanding of the various factors that impact this complicated disease has the potential to support changes in research and care that will improve the lives of people with RA. The knowledge gained in this study will provide a foundation to inform future interventional research targeting diet quality to support GI health and decrease RA disease activity. Further, the details of this research plan provide methodological resources for other RA researchers, and research results have the potential to improve communication between rheumatology providers and patients. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/79889.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».