{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:06:48Z","timestamp":1758931608908,"version":"3.44.0"},"reference-count":47,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T00:00:00Z","timestamp":1751932800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Musculoskeletal Care"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>To identify factors associated with physical activity levels among patients with ankylosing spondylitis (AS) who are undergoing home\u2010based rehabilitation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A 6\u2010month follow\u2010up study of 225 AS patients in remission was conducted in a hospital. Data were collected at patient discharge (T0) and at 1\u00a0month (T1), 3\u00a0months (T2) and 6\u00a0months (T3) postdischarge via questionnaires that assessed a range of physiological, psychological, social and cognitive variables. The influence of these variables on physical activity levels was examined via generalised estimating equations (GEEs).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Physical activity levels significantly fluctuated over time, as they exhibited an initial decrease followed by a slight increase. Lower levels were observed at 3\u00a0months postdischarge (T0: 74.3\u00a0\u00b1\u00a081.9; T1: 70.1\u00a0\u00b1\u00a079.3; T2: 60.5\u00a0\u00b1\u00a073.1; T3: 75.4\u00a0\u00b1\u00a080.1). Univariate analysis revealed that anxiety level, depression severity, perceived exercise benefits\/impairment, exercise self\u2010efficacy and social support significantly influenced physical activity (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.001). The GEE model revealed that educational level, the absence of biologics, the Bath Ankylosing Spondylitis Functional Index (BASFI) score, anxiety, perceived exercise benefits\/barriers and social support were significant predictors of physical activity (<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.05). Specifically, patients with lower education levels and those not receiving biologics had higher physical activity levels, whereas increased BASFI scores, anxiety and perceived barriers were associated with reduced physical activity.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Physical activity is essential for improving the functional outcomes of AS patients, and various factors significantly influence their engagement in physical activities. This study provides a foundational framework for tailored home rehabilitation strategies and emphasises the need for personalised approaches in long\u2010term management.<\/jats:p><\/jats:sec>","DOI":"10.1002\/msc.70131","type":"journal-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T10:50:17Z","timestamp":1751971817000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Factors Associated With Physical Activity in Home\u2010Based Rehabilitation Patients With Ankylosing Spondylitis: A Prospective Longitudinal Study"],"prefix":"10.1002","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7835-6918","authenticated-orcid":false,"given":"Heng\u2010Ying","family":"Fang","sequence":"first","affiliation":[{"name":"Department of Nursing The Third Affiliated Hospital of Sun Yat\u2010Sen University  Guangzhou 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