Screening Of High Risk Population Of Stroke And Analysis Of Influencing Factors In A Community Of Qiqihar City

Objective:This article analyzes the current situation of stroke screening and high-risk populations by aligning the resident residents over 40 years old in a community in the Qiqihar city(including:basic information of screening population,risk of screening population factor distribution,risk stratification of high-risk stroke patients),and analysis of influencing factors(including:Sociodemographic characteristics,daily behavioral life,past medical history,family medical history).Provides more targeted recommendations for stroke prevention and control in the region to effectively control the incidence of stroke in the region and the incidence of high-risk stroke patientsMethods:Literature review was used to extensively review relevant literature on screening for high-risk stroke patients and its influencing factors.Through the questionnaire survey method,the"2017 Cardiovascular and Cerebrovascular Disease Risk Factors Community,Township Population Screening Table"designed by the National Health and Health Commission's Brain Prevention Committee was selected,and screening points were selected according to national requirements,and community screening was conducted in Qiqihar city.Select more than 40 permanent residents for screening,screening content including basic information,family medical history,lifestyle,past medical history and control,stroke risk rating,physical examination,electrocardiogram,etc.,a total of 1018 people were screened.Statistical analysis mainly includes:using the frequency and composition ratio to describe the specific situation of stroke screening,using the chi-square test to compare differences among different sociodemographic characteristics,different daily behavioral life,different past medical history,and different family medical history in the high-risk groups of stroke patients'positive rate;Stepwise logistic regression was used to analyze the independent influencing factors among high-risk stroke patients.Results:1.The basic situation of the stroke screening population and its high-risk population in this study:screening high-risk groups accounted for 40%of the t otal screening population,non-high-risk groups accounted for 60%of the total screening population.Among the high-risk groups screened,previous stroke acc ounted for 13.5%of the total screening population;former transient ischemic at tack authors(TIA)accounted for 2.9%of the total screening population;risk f actors greater than three accounted for total screening 23.6%of the population.Among non-high-risk groups,low-risk groups accounted for 48.9%of the total screening population.The risk factors for high-risk groups ranks:hypertension,lack of exercise,dyslipidemia,family history of stroke,obesity,smoking histo ry,diabetes,atrial fibrillation,or valvar heart disease.2.According to the positive rate analysis of the differences between socio demographic characteristics,daily behavioral life,past medical history and famil y medical history in high-risk stroke patients,this study found that different sociode mographic characteristics were compared between high-risk groups of stroke patients positive rate.Gender(?~2=17.132,P<0.001),age group(?~2=14.106,P=0.003),marital st atus(?~2=4.486,P=0.034),living status(?~2=7.182,P=0.007),education status(?~2=13.302,P=0.004),retirement status(?~2=10.923,P=0.001),average annual income(?~2=2=9.146,P=0.027)and medical payment methods(?~2=8.341,P=0.039)showed significant diff erences in screening of the high-risk population of stroke.Different daily behaviors and lives were compared and analyzed in the screening of stroke high-risk gro ups.There were significant differences in screening of stroke high-risk groups positive rate among different drinking conditions(?~2=27.404,P<0.001),salty tast e(?~2=64.656,P<0.001),meat and vegetable habits(?~2=26.896,P<0.001),vegetabl e consumption frequency(?~2=36.789,P<0.001),fruit consumption frequency(?~2=62.792,P<0.001),and the differences were statistically significant.Different med ical history in cerebral apoplexy in high-risk population screening positive rate for difference comparative analysis,heart cerebrovascular disease(?~2=270.021,P<0.001),heart disease,?~2=65.067,P<0.001),hypertension(?~2=169.483,P<169.483),dyslipidemia(?~2=103.973,P<0.001)in cerebral apoplexy signifi cant differences in the high-risk population screening,history of diabetes in pe ople at high risk of stroke in screening does not exist significant differences,T he difference was not statistically significant(?~2=0.002,P>0.05).Different family medical histories were compared and analyzed in screening for high-risk grou ps with stroke positive rate.Family medical histories of coronary heart disease(?~2=3.074,P>0.05),family medical histories of hypertension(?~2=2=4.323,P>0.05),and family medical histories of diabetes(?~2=1.813,P>0.05)did not show signi ficant differences in screening for high-risk groups with stroke positive rate.3.The main influencing factors affecting the high-risk positive rate of stroke screening:the results of Stepwise logistic regression model analysis showed:gender,living conditions,education status,drinking,taste,frequency of fruit consumption,history of cerebrovascular disease,history of hypertension,history of heart disease,history of dyslipidemia have difference between the high-risk group of stroke was statistically significant(P<0.05).Men have a higher risk of stroke than women(OR=1.501,95%CI:1.015~2.219).The probability that a single resident population becomes a high-risk group of strokes is 2.696 times more likely to live with others(95%CI:0.992~0.341).For those who are educated at college and above,the possibility of becoming a high-risk group for stroke is 1.472(0.945~2.292)for junior high school/high school,1.791(1.018~3.152)for junior high school,and3.333(1.460~7.609)for primary school and below.Compared with non-drinking people,the more alcoholic people are more likely to be at high risk of stroke,the small amount of drinking and regular heavy drinking OR(95%CI)are:2.192(1.430~3.361),3.283(1.367~7.885);Compared with people with weak taste,people with high risk of stroke are more likely to have salty taste(OR=2.153,95%CI:1.357~3.416).The frequency of eating fruits daily was>=5 days/week,the frequency was 3-4 days/week and<=2 days/week were more likely to be a high-risk group for stroke,OR(95%CI)was 2.025(1.130~3.629)and 3.452(1.978~6.023),respectively.In addition,the history of cerebrovascular,cardiac,hypertension and dyslipidemia all can increase the possibility of becoming a high-risk group for stroke.With OR(95%CI)in order:0.012(0.005~0.029)?0.416(0.229~0.757)?0.154(0.091~0.261)?0.097(0.045~0.205).Conclusions:1.This study shows that the high-risk positive rate of stroke screening in people aged 40 and over in the region is at a high level in the country.The top three rankings for risk factors screening in the region are hypertension,lack of exercise,and dyslipidemia.2.In terms of sociodemographic characteristics,gender,age,retirement status,living conditions,education status,marital status,annual income status,and medical payment methods are significantly different in the high-risk positive rate of stroke screening.Among them,gender,education status and living conditions are independent factors that influence the high-risk positive rate of stroke screening.3.In daily behavior and life,there are significant differences in drinking,taste,salty habits,vegetarian habits,vegetable frequency,and fruit frequency in the high-risk positive rate of stroke screening.Among them,drinking,salty taste,fruit consumption frequency is an independent factor affecting the high-risk positive rate of stroke screening.4.In the past medical history,there was a significant difference in the history of cerebrovascular disease,history of dyslipidemia,history of hypertension,and history of heart disease in the high-risk positive rate of stroke screening.Among them,the history of cerebrovascular disease,history of dyslipidemia,history of hypertension,and history of heart disease are independent factors that influence the high-risk positive rate of stroke screening.