摘要
目的了解辽宁省西部地区城乡居民心脑血管疾病患病情况及影响因素分布,为有关部门制订相应卫生政策提供依据。方法 2014年7—9月采取分层随机整群抽样相结合的方法,对辽宁省西部两县区2 312户4 210名城乡居民进行了心脑血管疾病患病情况调查。结果有效问卷4 205份,有效率为99.9%。辽宁省西部地区城乡居民心脑血管疾病患病率为4.8%,标化率为3.9%,农村居民(6.8%)、男性(6.1%)、60岁以上居民(14.7%)心脑血管疾病患病率较高;居民高血压、糖尿病、高血脂、超重、肥胖、吸烟发生率分别为18.0%、10.3%、2.9%、34.3%、6.4%、23.5%。结论辽宁省西部地区城乡居民心脑血管疾病患病率较高,尤其是农村居民,需加强农村地区主要心脑血管疾病危险因素的整合管理。
Objective To understand the prevalence and influence factors of cardiovascular and cerebrovascular diseases among urban and rural residents in the western region of Liaoning province,and to provide basis for formulating appropriate health policies.Methods The method of stratified random cluster sampling was adopted from July to September2014,and an investigation on prevalence of cardiovascular and cerebrovascular diseases was carried out in2312households of4210residents in western region of Liaoning province.Results A total of4205valid questionnaires,effective rate was99.9%.The prevalence rates of cardiovascular and cerebrovascular diseases in the western region of Liaoning province was4.8%,and the standardized rate was3.9%.Rural residents(6.8%),male(6.1%)and above60years old residents(14.7%)had higher prevalence.The incidence rates of hypertension,diabetes mellitus,hyperlipemia,overweight,obesity and smoking residents were18.0%,10.3%,2.9%,34.3%,6.4%and23.5%,respectively.Conclusion The prevalence of cardiovascular and cerebrovascu?lar diseases in the western region of Liaoning province,especially in the rural area is higher.The management measures of main influence factors of cardiovascular and cerebrovascular diseases are needed to ameliorate.
作者
张博强
田园梦
游弋
潘磊磊
邢立莹
马英顺
刘文利
李宁
ZHANG Boqiang;TIAN Yuanmeng;YOU Yi;PAN Leilei;XING Liying;MA Yingshun;LIU Wenli;LI Ning(Disease Prevention and Control Center of Liaoning Province,Shenyang 110005,China;Disease Prevention and Control Center of Chaoyang,Liaoning 122000,China)
出处
《现代医药卫生》
2018年第5期674-676,共3页
Journal of Modern Medicine & Health
基金
中央财政转移支付地方慢病示范区项目(财社[2014]37号)
关键词
心血管疾病
市区人口
农村人口
患病率
数据收集
辽宁
Cardiovascular diseases
Urban population
Rural population
Prevalence
Data collection
Liaoning