Changing physical activity behavior among individuals with inflammatory arthritis: an umbrella review of current behaviors, behavioral determinants, and behavior change interventions
Notice bibliographique
Résumé
INTRODUCTION: Physical activity is internationally recommended as an effective component of inflammatory arthritis (IA) care. It contributes to managing IA symptoms, enhancing quality of life, and reducing cardiovascular disease risk. However, many individuals with IA are insufficiently active to realize these multi-faceted benefits. Supporting physical activity behavior change remains a major challenge within IA care. Therefore, we conducted an umbrella review to understand current evidence on: (1) physical activity levels and associated patient characteristics, (2) barriers and facilitators, and (3) effectiveness and characteristics of physical activity behavior change interventions. METHODS: An umbrella review approach captured review-level evidence and provided big picture insights on the physical activity behavior change research landscape in IA. A systematic search for physical activity, IA, review articles, and physical activity outcomes was completed using EMBASE, MEDLINE, CINAHL, and SPORTDiscus. Article selection was completed by 3 authors using Covidence, followed by data extraction of article characteristics, research methods, populations and interventions, and key findings. After assessing study overlap between reviews and methodological quality (AMSTAR-2), a narrative synthesis was completed to summarize evidence on each of the 3 topics of interest. RESULTS: 32 reviews covering 421 original articles, were included in the umbrella review. Of these, 7 were related to topic 1, 6 to topic 2, 15 to topic 3, and 4 to more than one topic. Individuals with IA frequently reported lower physical activity levels or decreased intensity compared to adults without IA. Physical function, education level, motivation, and physical activity history were associated with current physical activity in rheumatoid arthritis and spondyloarthritis. Behavioral barriers (symptoms, safety concerns) and facilitators (effective treatment, self-efficacy) were noted. Interventions using digital technology, health coaching, and other components can effectively increase physical activity behaviors, though comparative effectiveness data was lacking. AMSTAR-2 overall confidence ratings were low or critically low for 13/15 reviews of physical activity interventions. CONCLUSIONS: The umbrella review provided a comprehensive overview of physical activity behavior change research in IA. Findings highlighted the need to improve physical activity support, leveraging effective intervention strategies in IA care. Given low overall confidence ratings, further high-quality research is needed to understand behaviors and intervention effects long-term, compare effectiveness of intervention strategies, support underserved populations with lower physical activity levels and greater barriers, and inform clinical recommendations.
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 | 0,017 | 0,052 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,007 | 0,006 |
| Bibliométrie | 0,025 | 0,019 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».