摘要
目的 为制定中年女性血沉参考值的统一标准提供科学依据。方法 搜集了中国2 91个单位用温氏法制定的2 0 0 2 8例健康中年女性血沉参考值,运用灰色关联度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女性参考值最主要的因素,随着海拔高度的逐渐增大而中年女性血沉参考值在逐渐的减少(灰色关r1(y,x1) =0 .73185 )。用GM(1,N)模型与灰色微分方程的方法得到了一个灰色微分模型,y∧(k) =0 .0 0 86 6 4z( 1) (k) +0 .0 0 0 1881x1( 1) (k) +0 0 0 0 0 8914x2 ( 1)(k) - 0 .0 0 9112x3 ( 1) (k) - 0 .0 35 88x4( 1) (k) +0 .0 0 0 82 6 7x5( 1) (k)±4 .70。结论 如果知道了中国某地的地理因素,利用此模型并求出其相应的近似时间响应式,就可以估算出这个地区的中年女性血沉参考值。依据中年女性血沉参考值与地理因素依赖关系把中国分为青藏区,西南区,西北区,东南区,华北区,东北区等六个区。
AIM To supply a basis for uniting the reference value of Chinese middle-aged women's ESR.Methods A research is made about relationship between the reference value of 20 028 cases of Chinese healthy middle-aged women's ESR and five geographical factors in Chinese 291 areas, which are determined by the way of wintrobe laws,using the methods of grey correlation degree analysis. Results It is found that altitude is the main factor affecting the reference value of Chinese middle-aged women's ESR. As the altitude increases gradually, the reference value decreases gradually (r_1(y, x_1)=0.73185). Applying the method of grey differential calculus equation and Grey Model(1, N),one model is given out: y∧(k)=0.008664z^((1))(k)+0.0001881x_1^((1))(k)+0.00008914x_2^((1))(k)-0.009112x_3^((1))(k)-0.03588x_4^((1))(k)+0.0008267x_5^((1))(k)±4.70.Conclusion If geographical index values are obtained in some areas, the reference value of Chinese middle-aged women's ESR of this area can be reckoned using grey differential models. Furthermore, according to the similarity of the reference value of Chinese middle-aged women'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 region.
出处
《中国血液流变学杂志》
CAS
2005年第1期9-12,21,共5页
Chinese Journal of Hemorheology
基金
国家自然科学基金资助项目 (4 97710 0 7
40 14 10 0 2
40 3 710 0 4)
关键词
血沉
参考值
地理要素
灰色关联度
GM(1
N)
血液流变学
erythrocyte sedimentation rate
reference value
geographical elements
grey correlation degree
GM(1
N)
hemorheology