Identification of Proactive Health Behavior Clusters in Atrial Fibrillation-Related Ischemic Stroke Patients: A Multi-Center Latent Class Analysis
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.
Authors
- Genoosha Namassevayam (ORCID: https://orcid.org/0000-0002-0985-610X)
- Jed Montayre (ORCID: https://orcid.org/0000-0002-2435-8061)
- Mengyu Zhang (ORCID: https://orcid.org/0000-0002-5992-6321)
- Wenjing Ning
- Lina Guo (ORCID: https://orcid.org/0000-0001-9843-6627)
- Yuying Guo
- Juanjuan Wang (ORCID: https://orcid.org/0000-0003-1445-0195)
- Yuying Xie
- Peng Zhao (ORCID: https://orcid.org/0000-0003-2034-6810)
- Xueliang Zhou (ORCID: https://orcid.org/0000-0001-6973-3112)
- Ruiqing Di
Institutions
- Hong Kong Polytechnic University (HK)
- Zhengzhou University (CN)
- Eastern University, Sri Lanka (LK)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Vascular Health and Risk Management
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/vhrm.s534357
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation