Title: Stroke risk perception among high-risk population: A latent profile analysis
Abstract:
Stroke is a significant public health challenge, Patients with three or more risk factors to be at high-risk of stroke, and they have a higher incidence of stroke than healthy individuals or those at low-risk of stroke. The risk perception is important to the formation of individual health prevention behavior, is a key element in understanding how persons become motivated to change health behaviors.Hence, understanding the process of risk perception and influencing factor will be of high significance to take targeted prevention. We aimed to identify possible potential classes of risk perception of the high-risk of stroke population in China and to explore the factors and characteristics that influence their perception. A cross-sectional survey was conducted by using convenience sampling to collect data from 845 high-risk stroke people in Zhengzhou and Luohe, Henan, China, from January to May 2023. Latent profile analysis identified four classes of risk perception models which were as follows: Class 1(low risk perception group, 10.5%,N=89), Class 2 (Insufficient self-risk perception group, 16.1%, N=136), Class 3 (Accurate risk perception group, 25.3%, N=214) and Class 4(Medium Risk Perception group, 48.1%, N=406). The multinomial logistic regression analysis showed that the statistically significant influencing factors were the social support Rating Scale Score, family monthly income, age, educational level, working situation, family monthly income, Risk factors for stroke, and living condition. This study has identified four different latent classes of risk perception and their predictive factors in people at high-risk of stroke. There is heterogeneity in risk perception among high-risk stroke, and mostly possess a moderate level of risk perception. The study allowed healthcare professionals to identify different clusters of risk perception in high-risk stroke populations and provided tailored guidance based on the latent classification characteristics. It had significance for promoting primary prevention among people with high-risk of stroke.
Audience Take Away:
- Most people at high-risk of stroke have a moderate level of risk perception
- Our latent profile analysis identified four profiles of risk perception in high-risk of stroke.
- This analysis will provide valuable insights for primary prevention of stroke, and provide a basis for healthcare staff to development targeted perception.
- Specifically, Healthcare professionals should be concerned to lower educational level, family monthly income and the social Support Rating Scale, and emphasis on risk management for people living alone and aged <60 years at high-risk of stroke.
