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Enregistrement W4411433296 · doi:10.1016/j.ard.2025.06.1750

ABS0635 FACTORS ASSOCIATED WITH PHYSICAL ACTIVITY IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS. INSIGHTS FROM THE IMAS STUDY

2025· article· en· W4411433296 sur OpenAlexaff
M. Garrido-Cumbrera, F. Sommerfleck, D. Poddubnyy, J. Correa-Fernández, John B. Lowe, Christine Bundy, Souzi Makri, Shashank Akerkar, Victoria Navarro‐Compán

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSpondyloarthritis Studies and Treatments
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineAxial spondyloarthritisPhysical therapyIntensive care medicineAnkylosing spondylitisInternal medicineSacroiliitis

Résumé

récupéré en direct d'OpenAlex

Background: Physical activity is a key component in the management of axial spondyloarthritis (axSpA), with evidence indicating that regular exercise can reduce symptoms and enhance overall functional capacity. Objectives: This study aims to identify the factors associated with physical activity engagement in patients with axSpA. Methods: IMAS is a cross-sectional online survey conducted from 2017 to 2022, of 5,557 unselected patients with axial spondyloarthritis (axSpA) across Europe, North America, Latin America, Asia, and South Africa. The sample was categorized into two groups according to the following question "Do you do any physical or sporting activity?": patients who reported that they engaged in physical activity and those who did not. The independent variables evaluated included sociodemographic factors (age, gender, and patient organizations membership), disease characteristics (diagnostic delay, HLA-B27, uveitis, inflammatory bowel disease, and psoriasis), patient-reported outcomes (disease activity [BASDAI 0-10], spinal stiffness [3-12], functional limitation [0-54], and mental health [GHQ-12]), mental comorbidities (anxiety, depression, and sleep disorders), and previous treatments (non-steroidal anti-inflammatory drugs [NSAIDs], conventional synthetic disease-modifying antirheumatic drugs [csDMARDs], and biologic disease-modifying antirheumatic drugs [bDMARDs]). Mann-Whitney tests, chi-square tests, and logistic regression analyses assessed the relationships between these factors and physical activity among axSpA patients. Results: Among the 5476 participants who responded to the question on physical activity, 81.6% reported engaging in physical activity. This proportion was higher in North America (84.7%) and Europe (82.2%), and lowest in South Africa (79.3%), Asia (78.7%) and Latin America (76.3%; Figure 1). Patients who engaged in physical activity were more likely to be members of patient organizations, have a longer diagnostic delay, exhibit a higher prevalence of uveitis, report lower disease activity, experience less spinal stiffness, have less functional limitation, and report better mental health. Additionally, the patients had a lower anxiety score. In the multivariate logistic regression analysis, factors significantly associated with engagement in physical activity included membership in a patient organization (OR = 1.41), presence of uveitis (OR = 1.36), lower disease activity (OR = 0.95), reduced spinal stiffness (OR = 0.95), fewer functional limitations (OR = 0.99), and better mental health (OR= 0.98; Table 1). Conclusion: 8 out of 10 patients with axial spondyloarthritis (axSpA) engage in physical activity, with slight regional variations observed. Patients engaged in physical activity reported lower disease activity, reduced spinal stiffness, fewer functional limitations, and better mental health. Furthermore, membership of patient organizations was associated with higher levels of physical activity. Although causal relationships cannot be established from this study, the findings underscore the importance of promoting physical activity, particularly among those least active, given the positive impact on patient-reported outcomes. These results suggest that physical activity should be considered as a key component of disease management. REFERENCES: NIL . Figure 1Physical activity by region (N= 5,557) Table 1Logistic regression analysis of factors associated with physical activity (N= 4,548)Univariable logistic regressionMultivariable logistic regressionOR95% CIOR95% CIMember of patient organization1.401.22, 1.611.411.20, 1.66Diagnostic delay1.010.99, 1.02--Uveitis. Yes1.441.20, 1.731.361.11, 1.65BASDAI (0-10)0.890.85, 0.920.950.90, 0.99Spinal stiffness (3-12)0.920.89, 0.950.950.92, 0.99Functional limitation (0-54)0.990.98, 0.990.990.98, 0.99GHQ-12 (0-12)0.950.93, 0.960.980.96, 0.99Anxiety. Yes0.830.71, 0.960.860.73. 1.03 Acknowledgements: This study was supported by Novartis Pharma AG. As of 2 January 2024, IMAS is owned solely by ASIF, following an in-kind donation of the project by Novartis Pharma AG. The authors would like to thank all patients who participated in the study. Disclosure of Interests: Marco Garrido-Cumbrera Novartis, Fernando Sommerfleck Abbvie, Eli Lilly, Janssen, Novartis, Abbvie, Novartis, Janssen, Denis Poddubnyy AbbVie, BMS, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB, AbbVie, MSD, Novartis, and Pfizer, José Correa-Fernández: None declared, Jo Lowe No personal funding, but ASIF has received funding from Novartis, UCB, Lilly, Abbvie, Boehringer Ingleheim, Pfizer, Janssen, Christine Bundy AbbVie, Amgen, Celgene, Janssen, Lilly, Novartis and Pfizer, Souzi Makri Novartis, GSK and Bayer, Shashank Murlidhar Akerkar Pfizer, Novartis, Eli Lilly, Jansen, Victoria Navarro-Compán AbbVie, Eli Lilly, Fresenius Kabi, Janssen, MSD, Novartis, Pfizer, UCB Pharma, AbbVie, Alfasigma, Eli Lilly, Galapagos, MoonLake, MSD, Novartis, Pfizer, UCB Pharma, AbbVie, Novartis. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,023
Tête enseignante GPT0,281
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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