Abstract：Objective To explore the factors affecting carotid plaque formation among high-risk populations for stroke, so as to provide the reference for early intervention for carotid atherosclerosis among the populations. Methods Permanent residents were selected from Minhang District, Shanghai Municipality using the multi-staged cluster random sampling method from April to September 2021. Basic information, family history of stroke and past medical history were collected by the Community and Township Population Screening Scale for Cardiovascular and Cerebrovascular Disease Risk Factors. High-risk populations for stroke were identified according to the Technical Specifications for Stroke Screening and Prevention. Carotid plaque status was assessed using carotid ultrasonography. Factors affecting carotid plaque formation were analyzed using a multivariable logistic regression model. Results Among the 25 666 permanent residents surveyed, 8 459 were identified as high-risk populations for stroke, including 3 362 males and 5 097 females, with a male-to-female ratio of 0.66︰1. The median age was 66.00 (quartile range, 11.00) years. Carotid plaque were detected in 4 305 cases among high-risk population for stroke, accounting for 50.89%. Multivariable logistic regression analysis showed that advanced age (OR=1.052, 95%CI: 1.043-1.061), family history of stroke (OR=1.297, 95%CI: 1.103-1.526), hypertension (OR=1.245, 95%CI: 1.025-1.512) and diabetes (OR=1.439, 95%CI: 1.241-1.669) were associated with a higher risk of carotid plaque formation in male high-risk population for stroke, advanced age (OR=1.058, 95%CI: 1.051-1.066), lack of exercise (OR=1.138, 95%CI: 1.001-1.294), family history of stroke (OR=1.201, 95%CI: 1.062-1.357), significant overweight or obesity (OR=1.269, 95%CI: 1.127-1.430) and hypertension (OR=1.169, 95%CI: 1.003-1.362) were associated with a higher risk of carotid plaque formation in female high-risk population for stroke. Conclusion The main influencing factors for carotid plaque formation among high-risk populations for stroke include age, family history of stroke, exercise, significant overweight or obesity, hypertension and diabetes, with gender differences observed.
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