Self-Management among Stroke Survivors in the United States, 2016 to 2021

Author:

Vemuri Ajith Kumar1ORCID,Hejazian Seyyed Sina1ORCID,Vafaei Sadr Alireza2ORCID,Zhou Shouhao2ORCID,Decker Keith3ORCID,Hakun Jonathan1ORCID,Abedi Vida2ORCID,Zand Ramin1

Affiliation:

1. Department of Neurology, College of Medicine, The Pennsylvania State University, 30 Hope Drive, Hershey, PA 17033, USA

2. Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA 17033, USA

3. Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, USA

Abstract

Background: Self-management among stroke survivors is effective in mitigating the risk of a recurrent stroke. This study aims to determine the prevalence of self-management and its associated factors among stroke survivors in the United States. Methods: We analyzed the Behavioral Risk Factor Surveillance System (BRFSS) data from 2016 to 2021, a nationally representative health survey. A new outcome variable, stroke self-management (SSM = low or SSM = high), was defined based on five AHA guideline-recommended self-management practices, including regular physical activity, maintaining body mass index, regular doctor checkups, smoking cessation, and limiting alcohol consumption. A low level of self-management was defined as adherence to three or fewer practices. Results: Among 95,645 American stroke survivors, 46.7% have low self-management. Stroke survivors aged less than 65 are less likely to self-manage (low SSM: 56.8% vs. 42.3%; p < 0.0001). Blacks are less likely to self-manage than non-Hispanic Whites (low SSM: 52.0% vs. 48.6%; p < 0.0001); however, when adjusted for demographic and clinical factors, the difference was dissipated. Higher education and income levels are associated with better self-management (OR: 2.49, [95%CI: 2.16–2.88] and OR: 1.45, [95%CI: 1.26–1.67], respectively). Further sub-analysis revealed that women are less likely to be physically active (OR: 0.88, [95%CI: 0.81–0.95]) but more likely to manage their alcohol consumption (OR: 1.57, [95%CI: 1.29–1.92]). Stroke survivors residing in the Stroke Belt did not self-manage as well as their counterparts (low-SSM: 53.1% vs. 48.0%; p < 0.001). Conclusions: The substantial diversity in self-management practices emphasizes the need for tailored interventions. Particularly, multi-modal interventions should be targeted toward specific populations, including younger stroke survivors with lower education and income.

Publisher

MDPI AG

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