Wu X, Qin Y, Cui L, Su J, Chen L L, Tao R, Zhou J Y, Wu M
School of Public Health, Nanjing Medical University, Nanjing 211166, China Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):78-84. doi: 10.3760/cma.j.cn112338-20210201-00083.
To investigate the detection types and aggregation of high-risk population of cardiovascular disease (CVD) in Jiangsu province and the related influencing factors to provide reference for the prevention and control of cardiovascular disease. A total of 120 211 participants were included in the investigation. Information was collected by questionnaire based survey, physical examination and biochemical tests. test and multivariate logistic regression were used for statistical analysis. The detection rate of CVD high risk was 25.03%. The detection rates were 19.01%, 4.85%, 3.18% and 5.31% for hypertension, dyslipidemia, cardiovascular history and WHO assessed risk ≥20% types, respectively. Male, rural, old age, low education level, low family income, drinking, waist circumference exceeding standard, overweight and obesity were risk factors of CVD (all <0.01). The composition ratios of aggregation of 1, 2 and ≥3 high risk types of CVD were 74.01%, 22.91% and 3.08%, respectively. With the increase of aggregation types, the correlation strength increased with age, rural residents, education level and annual family income. Targeted measures should be carried out according to different influencing factors for the prevention and control of CVD in Jiangsu province in order to achieve the maximum prevention and control effect with the minimum cost.
为调查江苏省心血管疾病（CVD）高危人群的检出类型、聚集情况及相关影响因素，为心血管疾病的防控提供参考。本次调查共纳入120211名参与者。通过问卷调查、体格检查和生化检测收集信息，并采用检验和多因素logistic回归进行统计分析。CVD高危检出率为25.03%。高血压、血脂异常、心血管病史和WHO评估风险≥20%类型的检出率分别为19.01%、4.85%、3.18%和5.31%。男性、农村地区、年龄大、文化程度低、家庭收入低、饮酒、腰围超标、超重和肥胖是CVD的危险因素（均P<0.01）。CVD 1种、2种和≥3种高危类型聚集的构成比分别为74.01%、22.91%和3.08%。随着聚集类型的增加，关联强度随年龄、农村居民、文化程度和家庭年收入增加而增强。江苏省应根据不同影响因素采取针对性措施防控CVD，以最小成本实现最大防控效果。
