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中国老年前期女性血沉参考值与地理因素的关系
引用本文:葛淼,董维,郑慧,许淑菊,王芝云,张玮.中国老年前期女性血沉参考值与地理因素的关系[J].西安交通大学学报(医学版),1999,20(3):396-398.
作者姓名:葛淼  董维  郑慧  许淑菊  王芝云  张玮
作者单位:1. 陕西师范大学地理系,西安,710062
2. 西安医科大学基础医学院物理教研室
3. 西安市中医医院医疗器械科
摘    要:为制定中国老年前期女性血沉参考值的统一标准提供科学依据,本文收集了中国各地用温氏法制定的健康老年前期女性血沉参考值,并对其与地理因素的关系进行了研究。发现海拔高度是影响老年前期女性血沉参考值最主要的因素,随着海拔高度的逐渐增大,老年前期女性血沉参考值在逐渐的减少,相关性很显著,用逐步回归分析的方法推导出了一个回归方程。可用之估算某地区的老年前期女性血沉参考值

关 键 词:血沉  参考值  地理要素  回归分析  血液流变学

RELATIONSHIP BETWEEN REFERENCE VALUE OF CHINESE PRESENIAL WOMEN'S ERYTHROCYTE SEDIMENTATION RATE(ESR) AND GEOGRAPHICAL FACTORS
Ge Miao ,Dong Wei ,Zheng Hui et al.RELATIONSHIP BETWEEN REFERENCE VALUE OF CHINESE PRESENIAL WOMEN'S ERYTHROCYTE SEDIMENTATION RATE(ESR) AND GEOGRAPHICAL FACTORS[J].Journal of Xi‘an Jiaotong University:Medical Sciences,1999,20(3):396-398.
Authors:Ge Miao  Dong Wei  Zheng Hui
Institution:Shaanxi Teachers University
Abstract:In order to supply a basis for uniting the reference value standard of chinese presenial women's ESR, a research was made about relationship between the reference value of chinese healthy presenial women's ESR and five geographical factors ,which were determined by the way of wintrobe laws.It was found that altitude was the main factor affecting the reference value of chinese pesenial women's ESR.As the altitude increased gradually ,the reference value of Chinese presenial women's ESR decreased gradually, the correlation was quite obvious. Applying the method of mathematical regression analysis ,one regression equation was given out.If geographical index values were obtained from some areas, the reference value of chinese presenial women's ESR of this area could be reckoned using regression equation.Furthermore according to the similarity of the reference value of chinese presenial 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.
Keywords:erythrocyte sedimentation rate  reference value  geographical elements  regression analysis  hemorheology
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