摘要
为制定中年男性血沉参考值的统一标准提供科学依据.收集了中国301个单位用温氏法测定的23 001例健康中年男性血沉参考值.运用相关分析和多元非线性回归分析的方法,研究了其与地理因素的关系.结果发现海拔高度是影响中年男性血沉参考值最主要的因素,随着海拔高度的逐渐增大,中年男性血沉参考值在逐渐的减小,相关性很显著(r1=-0.610).利用SPSS软件得到非线性回归方程:Y∧=4.684-2.22×1-0 3x1+1.271×1-0 2x2-4.869×1-0 6x22+4.869×1-0 10x32-0.433exp{3.424-68.787/x3}+0.140 6x4-6.676×1-0 3x24+1.309×1-0 4x34+0.5019 lnx5±5.75.由此模型如果知道了中国某地的地理因素,就可以估算这个地区的中年男性血沉参考值.依据中年男性血沉参考值与地理因素的依赖关系把中国分为青藏区,西南区,西北区,东南区,华北区,东北区等6个区.
In order to supply a basis for uniting the reference value standard of Chinese middle scent men＇s ESR. A research is made about relationship between the reference value of 23001 examples Chinese healthy middle scent men＇ s ESR and five geographical factors in Chinese 301 areas,which are determined by the way of Wintrobe laws, by using the method correlation analysis and nonlinear regression analysis. It is found that altitude is the main factor affecting the reference value of Chinese middlescent men＇ s ESR. As the altitude increase gradually, the reference value of Chinese middlescent men＇s ESR decrease gradually, the correlation is quite obvious （r1=- 0.610）. Applying the SPSS software, one nonlinear regression equations are given out. =4.684-2.22×10^-3x1＋1.271×10^-2x2-4.869×10^-6x22＋4.869×10^-10x32-0.433exp{3.424-68.787/x3}＋0.140 6x4-6.676×10-3x24＋1.309×10-4x34＋0.5019lnx5±5.75. If geographical index values are obtained in some areas, the reference value of Chinese middle scent men＇ s ESR of this area can be reckoned using nonlinear regression equation. Furthermore, according to the similarity of the reference value of Chinese middle scent men＇ s ESR, taking the altitude as the main dividing basis and considering effects of other geographical factors and population distribution, China can be divided into six regions：Qingzang, Southwest, Northwest, Southeast, North and Northeast.
出处
《纺织高校基础科学学报》
CAS
2005年第3期278-281,共4页
Basic Sciences Journal of Textile Universities
基金
国家自然科学基金资助项目(49771007
40141002
40371004)
关键词
血沉
参考值
地理要素
非线性回归分析
血液流变学
erythrocyte sedimentation rate
reference value
geographical elements
nonlinear regression analysis
hemorheology
作者简介
通讯作者：刘新平（1949-）,男,陕西省汉中市人,陕西师范大学教授.E-mail： liuxinping@snnu.edu.cn
