
Reference value of presenile human hematocrit and geographical factors
Author(s) -
Miao Ge,
Qingsheng Yang,
Zhiyuan Ren,
Hongxian Zhang,
Yanfang Zhang,
Shuyan Yin
Publication year - 2002
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.2051
Subject(s) - hematocrit , altitude (triangle) , value (mathematics) , regression analysis , stepwise regression , reference values , linear regression , mathematics , statistics , medicine , geometry
The aim of this study was to provide a scientific basis for a unified standard of the reference value of healthy presenile human hematocrit in China. We studied the relationship between the reference values of healthy presenile human hematocrit, tested according to Wintrobe’s laws, and five geographical factors. It was found that altitude is the most important factor affecting the reference value of the hematocrit. As the altitude gradually increases, the reference value of the hematocrit also increases. The relationship is quite significant. By using the method of stepwise regression analysis, two multivariate regression equations were deduced: Yˆ 1 = 39.7 + 0.00328X 1 + 0.00169X 2 + 0.00117X 5 ± 2.3, Yˆ 2 = 38.8 + 0.00275X 1 + 0.000578X 2 –0.00298X 4 ± 2.2 In these equations, Yˆ 1 is the reference value of presenile men’s hematocrit (%); Yˆ 2 is the reference value of presenile women’s hematocrit (%); X 1 is altitude (m); X 2 is the average annual hours of sunshine (h); X 4 is the average annual temperature (°C), and X 5 is the average annual precipitation (mm). If the geographical index values in a particular area in China are known, the reference value of presenile human hematocrit in this area can be calculated approximately by means of the regression equations. J. Clin. Lab. Anal. 16:26–29, 2002. © 2002 Wiley‐Liss, Inc.