title: Normal reference value of whole blood viscosity (230s(-1)) of old women and geographical factors.
abstract: OBJECTIVE
  This paper aims at supplying a scientific basis for standardizing the normal reference value of whole blood viscosity (230s(-1)) of Chinese old women.
  
  
  METHODS
  The research is made to study the relationship between the normal reference value of 6707 samples of whole blood viscosity (230s(-1)) of old women and seven geographical factors in 70 areas in China.
  
  
  RESULTS
  It is found that the correlation between geographical factors and the normal reference value of whole blood viscosity (230s(-1)) of old women is quite significant (F=30.137, P=0.000). According to the normal reference value of old women's whole blood viscosity (230s(-1)) and geographical factors, one regression equation is inferred by using the method of enter regression analysis: Ŷ=13.47+0.0006383X1-0.001083X2-0.1379X3-0.05098X4-0.0008578X5-0.06221X6+0.2114X7±0.55. In the above equation, Ŷ is the reference value of whole blood viscosity (230s(-1)) of old women (mPa·s); X1 is the altitude (m); X2 is the annual sunshine duration (h); X3 is the annual mean air temperature; X4 is the annual mean relative humidity; X5 is the annual precipitation amount; X6 is the annual range of air temperature; X7 is the annual mean wind speed (m/s); and 0.55 is the value of the residual standard deviations.
  
  
  CONCLUSIONS
  If geographical values are obtained in a certain area, the normal reference value of whole blood viscosity (230s(-1)) of old women in this area can be obtained by using the regression equation. Furthermore, according to the geographical factors, China can be divided into eight regions: Northeast China Region, North China Region, Shanxi-Shaanxi-Inner Mongolia Region, Middle and lower reaches of the Yangtze River Region, Southeast China Region, Northwest China Region, Southwest China Region and Qinghai-Tibet Plateau Region.
authors.affiliation: Department of Geography, Shaanxi Normal University, Xi'an, 710062 Shaanxi, China. Electronic address: gemiao@snnu.edu.cn.
authors.forename: Miao
authors.initials: M
authors.lastname: Ge
authors.forename: Linlin
authors.initials: L
authors.lastname: Gu
authors.forename: Jinwei
authors.initials: J
authors.lastname: He
authors.forename: Ranyin
authors.initials: R
authors.lastname: Xue
authors.forename: Shaofang
authors.initials: S
authors.lastname: Yang
authors.forename: Congxia
authors.initials: C
authors.lastname: Wang
authors.forename: Haiyan
authors.initials: H
authors.lastname: Fu
mesh_terms: D000367:Age Factors; D000375:Aging / Q000097:blood*; D000531:Altitude; D001809:Blood Viscosity; D005260:Female; D006801:Humans; D006813:Humidity; D011891:Rain; D012016:Reference Values; D012044:Regression Analysis; D012737:Sex Factors; D013472:Sunlight; D013696:Temperature; D014887:Weather; D014919:Wind
keywords: Correlation analysis; Geographical factors; Normal reference value; Regression analysis; Whole blood viscosity