Analysis of stroke-related risk factors among urban community residents: A case-control study based on propensity score matching

doi:10.3969/j.issn.1006-7795.2025.03.017

Abstract

Abstract: Objective To analyze stroke-related risk factors and their impact on urban community residents in Beijing, focusing on chronic diseases, psychological health, and quality of life, to provide evidence for community screening and intervention strategies. Methods Data were collected from residents aged 50+ in 19 communities by using questionnaires and a WeChat App. Propensity score matching (PSM) balanced baseline characteristics. Logistic regression (univariate and stepwise) and mediation effect analysis were conducted by using SPSS and R. Results After PSM, 87 stroke cases and 348 controls showed balanced baseline characteristics. The stroke group had higher chronic disease prevalence and lower psychological and quality of life scores. Hypertension increased stroke risk (P=0.002). Cognitive-12 Scale (Cog-12) was positively, and European Quality of Life-5 Dimensions (EQ-5D) negatively, associated with stroke (P<0.001). Hypertension mediated stroke risk through Cog-12 and EQ-5D, with EQ-5D contributing 26.72%. Conclusion In this urban community study, stroke prevention should focus on managing chronic diseases, improving cognitive health and quality of life, and addressing psychological health. Digital tools can enhance follow-up and assessment, optimizing community-based stroke management strategies.

Key words: community screening, stroke risk factors, community health services, propensity score matching, chronic disease control

CLC Number:

R743.3

Ren Qianwei, Zhou Siyi, Jin Xinyue, Guo Fuzhen, Guan Zhongjun. Analysis of stroke-related risk factors among urban community residents: A case-control study based on propensity score matching[J]. Journal of Capital Medical University, 2025, 46(3): 520-526.

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