Abstract: Objective To investigate the detection rate of the high stroke-risk individuals among middle-aged and elderly community residents, and analyze clustering characteristics of risk factors. Methods The cluster random sampling method was adopted to randomly select three districts in Xi'an （Baqiao District, Yanta District, and Weiyang District）, three communities in each district, a total of 9 communities, and to conduct questionnaire survey, physical survey, and physiological and biochemical indicators testing for permanent residents aged 40 and over in the area under their jurisdiction. According to the National High Stroke-Risk Individuals Screening and Intervention Program, the high-risk situation of stroke among the survey objects was evaluated, and the results were analyzed using descriptive analysis methods. Results A total of 18 312 residents completed the survey, including 8 483 males, accounting for 46.32%, and 9 829 females, accounting for 53.68%. The age range was 40-93 years old, of which 50-59 years old accounted for a high proportion, accounting for 30.13%. There were 3 325 residents with high stroke-risk, with a high-risk rate of 18.16%. There were significant differences in the detection rate of the high stroke-risk individuals among the middle-aged and elderly community residents of different genders and ages （P＜0.05 or P＜0.01）. The first three of the eight risk factors detected in the high stroke-risk individuals were lack of sports （71.40%）, hypertension （70.86%）, and smoking （47.67%）, respectively. Among the 3 325 high stroke-risk individuals, 1 880 cases （56.54%） with three risk factors, 894 cases （26.89%） with four risk factors, 404 cases （12.15%） with five risk factors, and 147 cases （4.42%） with six or more risk factors. The clustering of risk factors in high stroke-risk individuals was significantly different in different genders and ages, and the clustering of risk factors in males and older people was significantly higher （P＜0.05）. Conclusions The high-risk rate of stroke among middle-aged and elderly community residents in Xi'an is high, and the clustering of multiple risk factors is serious. It is necessary to strengthen the education and intervention of residents' healthy lifestyles.

Key words: Stroke, High risk individuals, Screening, Risk factor, Clustering