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作 者:吴明 颜廷梅[2] 潘磊磊[1] 游弋[1] 马英顺[1] 高青 卢春明[1] WU Ming;YAN Ting-mei;PAN Lei-lei(Liaoning Provincial Center for Disease Control and Prevention, Shenyang,Liaoning Province 110005,China)
机构地区:[1]辽宁省疾病预防控制中心,辽宁沈阳110005 [2]中国医科大学
出 处:《中国公共卫生》2019年第2期139-143,共5页Chinese Journal of Public Health
基 金:国家心血管病高危人群早期筛查与综合干预项目
摘 要:目的了解辽宁省心血管疾病高危人群检出率及其影响因素,为心血管病有效防控提供依据。方法于2014—2017年采用多阶段分层随机整群抽样方法对辽宁省3个城镇和3个农村项目点,抽取6个区/县的居民进行调查。收集调查对象性别、教育程度、职业等基本信息;测量身高、体重、腰围、肺功能;检测血糖、血脂以及尿常规;收集吸烟、饮酒情况,高血压、糖尿病及心血管病史以及用药史等心血管病危险因素。结果共收集问卷138 554份,查出高危个体36 435例,高危率为26.3%。其中男性高危16 111例,高危率为25.8%;女性20 324例,高危率为26.7%,男性高危率低于女性,差异有统计学意义(χ~2=14.155,P<0.001)。随着年龄增长,男、女性高危检出率均增高,65~75岁人群高危检出率达39.4%。logistic回归分析结果显示,性别、年龄、婚姻状况、文化程度、职业、收入、吸烟、饮酒、高血压史、糖尿病史及各项血脂指标(甘油三酯除外)均为心血管病高危人群的影响因素(P均<0.001)。结论辽宁省心血管疾病高危人群检出率较高,需加强对心血管疾病高危人群的防治,以降低辽宁省心血管疾病的发病率和死亡率。Objective To explore the detection rate of populations at high risk of cardiovascular disease(CVD) among residents and its influencing factors in Liaoning province for providing evidences to effective prevention and control of CVD.Methods We conducted a survey among 35-75 years old residents selected with stratified multistage random sampling in 3 urban districts and 3 rural towns of Liaoning province between 2014 and 2017. The participants’ information on demography,education, income, smoking, alcohol drinking, history of hypertension, diabetes, CVD and medication relevant to the diseases were collected with a questionnaire interview;the participants’ height, weight, waist circumference were measured and their blood glucose, blood lipid, urinalysis, and lung function were detected. Results Of the 138 554 participants surveyed,36 435(26.3%) were identified as the individuals at a high-risk of CVD and the male participants had a significantly lower ratio of the at high CVD risk compared to the female participants(25.8% vs. 26.7%, 16 111 vs. 20 324 in number)(χ^2=14.155, P < 0.001). Among the participants, the ratio of the individuals at a high-risk of CVD increased with the increment of their ages and the participants aged 65-75 had the highest ratio(39.4%). The results of logistic regression analysis revealed following influencing factors of being at a high-risk of CVD for the participants: gender, age, marital status, education,occupation, income, smoking, alcohol drinking, hypertension history, diabetes history, and all routine blood lipids indicators(except for triglyceride)(all P < 0.001). Conclusion The detection rate of individuals at high risk of cardiovascular disease is relatively high among 35-75 years old urban and rural residents in Liaoning province and interventions on cardiovascular disease need to be promoted among the high-risk populations.
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