Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116845
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dc.contributorSchool of Nursing-
dc.creatorGuo, L-
dc.creatorGuo, Y-
dc.creatorMontayre, J-
dc.creatorNing, W-
dc.creatorNamassevayam, G-
dc.creatorZhang, M-
dc.creatorXie, Y-
dc.creatorZhou, X-
dc.creatorZhao, P-
dc.creatorWang, J-
dc.creatorDi, R-
dc.date.accessioned2026-01-21T03:53:14Z-
dc.date.available2026-01-21T03:53:14Z-
dc.identifier.issn1176-6344-
dc.identifier.urihttp://hdl.handle.net/10397/116845-
dc.language.isoenen_US
dc.publisherDove Medical Press Ltd.en_US
dc.rights© 2025 Guo et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v4.0) License (http://creativecommons.org/licenses/by-nc/4.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).en_US
dc.rightsThe following publication Guo L, Guo Y, Montayre J, Ning W, Namassevayam G, Zhang M, Xie Y, Zhou X, Zhao P, Wang J, Di R. Identification of Proactive Health Behavior Clusters in Atrial Fibrillation-Related Ischemic Stroke Patients: A Multi-Center Latent Class Analysis. Vasc Health Risk Manag. 2025;21:749-758 is available at https://doi.org/10.2147/VHRM.S534357.en_US
dc.subjectAtrial fibrillationen_US
dc.subjectIschemic strokeen_US
dc.subjectLatent class analysisen_US
dc.subjectMulti-center studyen_US
dc.subjectProactive health behavioren_US
dc.titleIdentification of proactive health behavior clusters in atrial fibrillation-related ischemic stroke patients : a multi-center latent class analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage749-
dc.identifier.epage758-
dc.identifier.volume21-
dc.identifier.doi10.2147/VHRM.S534357-
dcterms.abstractObjective: This study aims to identify latent classes of proactive health behavior and to explore the predictive factors associated with various clusters of proactive health behavior among patients with atrial fibrillation-related ischemic stroke.-
dcterms.abstractMethods: A multi-center cross-sectional study was conducted, recruiting a total of 1,250 participants through cluster random sampling from January 2023 to May 2024. Latent class analysis was performed to identify classes of proactive health behavior within the sample of atrial fibrillation-related ischemic stroke patients. Additionally, multinomial regression analyses were utilized to investigate the predictive factors associated with the different latent classes identified. This study adhered to the STROBE checklist.-
dcterms.abstractResults: Out of the 1,250 participants, 1,196 (91.6%) completed the survey, including 809 males and 387 females, with 71% of them reporting moderate or lower levels of proactive health behavior. The findings revealed three latent classes: (1) low proactive health behavior with health responsibility deficiency (n=426, 35.6%); (2) moderate proactive health behavior with stress and coping disorder (n=464, 38.7%); and (3) high proactive health behavior with light physical activity (n=306, 25.5%). Factors correlated with the latent classes of proactive health behavior were identified. Protective factors included a high level of stroke knowledge, strong awareness of health beliefs, and better environmental and social support (all p < 0.05). Conversely, risk factors for the latent classes of proactive health behavior included low education, being unmarried, lack of thrombolysis, and low household income (all p < 0.05).-
dcterms.abstractConclusion: This study successfully identified three different latent classes of proactive health behaviors and their related predictors in Chinese atrial fibrillation-related ischemic stroke patients. These findings provide theoretical guidance and practical insights for the development of targeted intervention programs aimed at improving proactive health behaviors in patients with atrial fibrillation-related ischemic stroke patients.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationVascular health and risk management, 2025, v. 21, p. 749-758-
dcterms.isPartOfVascular health and risk management-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105015055114-
dc.identifier.pmid40933385-
dc.identifier.eissn1178-2048-
dc.description.validate202601 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis study was funded by the National Natural Science Foundation of China (grant number 72204225), the China Postdoctoral Science Foundation (grant number 2023M733234), the Medical Science and Technology Project of Henan Province (grant number LHGJ20220429), and Chinese Nursing Association Foundation (grant number ZHKY202316).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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