摘要
目的为制定中国成年人主动脉根部内径参考值的统一标准提供科学依据。方法收集了中国28个市(县)卫生单位和有关科研单位测定的2125例健康成年人主动脉根部内径参考值,运用相关分析和回归分析的方法,研究了其与海拔高度(X1),年日照时数(X2),年平均气温(X3),年平均相对湿度(X4),年降水量(X5),气温年较差(X6)和年平均风速(X7)7个地理环境指标之的关系。结果中国成年人主动脉根部内径正常参考值与地理因素之间有显著相关性。用向后回归分析的方法推出:Y=17.31+0.003043X5+0.1702X6+1.362X7±2.27。用该方程计算出中国2232个观测点的参考值,应用GIS空间插值分析拟合出中国成人主动脉根部内径参考值地理分布趋势图。结论若已知中国某地的年降水量,气温年较差和年平均风速,可用该方程计算出该地主动脉根部内径参考值;从空间趋势分布图也可得到中国成人主动脉根部内径参考值的地理分布规律:整体呈东北西南走向,东北地区参考值高于西南地区。
Objective To supply a scientific standard for unifying the reference value of adult aortic root diameter in various region of China. Methods Data of 2125 healthy adults from 28 hospital or institue of different areas were collected. Correlation and regression analysis was used to study the relationship between the 7 geographical factors of altitude （X1 ） , annual sunshine hours （X2 ） , the annual average temperature （X3 ） , annual average relative humidity （X4 ） , annual precipitation （X5 ） , annual temperature range （X6 ） and annu- al average wind speed （X7 ） ,and aortic root diameter. Results There was a significant correlation between the reference value of adult aortic root diameter and geographical factors. The linear regression equation from backward regression analysis was Y = 17.31 ＋ 0. 003043 X5 ＋ 0. 1702X6 ＋ 1. 362X7 ± 2.27. weused this equation to calculate the 2232 observation point reference value. Then wefit the geograph- ical distribution trends map of Chinese adult aortic root diameter reference value by using the GIS spatial interpolation analysis. Conclu- sion If the data of annual precipitation, annual temperature range and the annual average wind speed in some areas were obtained, the reference value of aortic root diameter canld be calculated. We could also know the geographical distribution of adult aortic root diameter in China from the spatial trends maps. The reference value in Northeast was higher than that in Southwest.
出处
《医学研究杂志》
2013年第10期31-33,共3页
Journal of Medical Research
基金
国家自然科学基金资助项目(40971060)
关键词
主动脉根部内径参考值地理环境相关分析
回归分析
Reference value of aortic root diameter
Geographical factors
Correlation analysis
Regression analysis
