Abstract：Objective To investigate the spatial distribution and the influencing factors of hypertensive patients aged 45 years and above,and to provide evidence for the prevention and control of hypertension among middle-aged and elderly population.Methods Multi-stage stratified random sampling method was used to collect 150 counties（cities or districts）from 30 provinces（municipalities or autonomous regions）from CHARLS database in 2015 according to the per capita GDP in different areas. Then the probability proportionate to size sampling method was used to select three villages（neighborhood committees）,80 families were randomly selected from each village（neighborhood committees）,and residents aged 45 years and above were interviewed. Spatial analysis was based on the vector map of China's provincial boundaries,Geoda and ArcGIS 10.2 software were used to analyze the prevalence and influencing factors of hypertension at provincial levels.Results The health data of 14 880 people aged 45 years and above in 28 provinces（municipalities or autonomous regions）were obtained,including 4 203 patients with hypertension（28.25%）and 5 408 people with pre-hypertension（36.34%）. The results of local spatial analysis showed that the clustering regions of hypertension patients were in northeast and eastern parts of China. The results of spatial regression analysis showed that males,age of 80 years and above and overweight were the main risk factors for hypertension（all P<0.05）,which had greater influence on the middle part of China,north and northeast of China,and the east and north of China,respectively.Conclusion Males,age of 80 years and above and overweight were the main risk factors for hypertension in middle-aged and elderly population in China. The main prevention and control areas of hypertension were eastern and northeast China.
谭利明, 陈露, 龙鸣燕, 符昌艳, 周璐璐, 张天成. 中老年人群高血压患病的空间分布及影响因素分析[J]. 预防医学, 2019, 31(3): 236-242.
TAN Li-ming, CHEN Lu, LONG Ming-yan, FU Chang-yan, ZHOU Lu-lu, ZHANG Tian-cheng. Spatial distribution and influencing factors among middle-aged and elderly patients with hypertension. Preventive Medicine, 2019, 31(3): 236-242.