Partial Least Square Regression Analysis between Normal Reference Value (Wintrobe) of Chinese Old Women’s Erythrocyte Sedimentation Rate (ESR) and Chinese Geographical Factors
Ge Miao · Science Technology and Engineering · 2007
In order to supply a basis for uniting the normal reference value (Wintrobe) standard of Chinese old women’s ESR, a research is made about relationship between the normal reference value (Wintrobe) of Chinese healthy old women’s ESR and five geographical factors, which are determined by the way of wintrobe laws. It is found that altitude is the main factor affecting the normal reference value (Wintrobe) of Chinese old women’s ESR. As the altitude increase gradually, the normal reference value (wintrobe) of Chinese old women’s ESR decreases gradually, the correlation is quite obvious. Applying the method of partial least square regression analysis, one regression equation is given out. If geographical index values are obtained in some areas, the normal reference value (wintrobe) of Chinese old women’s ESR of this area can be reckoned using regression equation.Furthermore, according to the similarity of the normal reference value (Wintrobe) of Chinese old 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.