Multiple Regression Analysis between the Activity of Cholinesterase and some Biochemical Factors of Female Agricultural Workers.
10.2185/jjrm.30.128
- VernacularTitle:農村婦人におけるコリンエステラーゼ活性と数種の生物化学的要因の間の重回帰分析
- Author:
Mitsuru Ando
;
Shota Hirosaki
;
Kenji Tamura
;
Toshimitsu Taya
- Publication Type:Journal Article
- From:Journal of the Japanese Association of Rural Medicine
1981;30(2):128-133
- CountryJapan
- Language:Japanese
-
Abstract:
The regression analysis between the activity of serum cholinesterase and some biochemical factors of female agricultural workers was examined.
To normalize the value of the factors, logarithmic value was calculated. Multiple regression analysis between the activity of cholinesterase and the factors related to liver function, such as the activity of GOT, GPT and total cholesterol content were calculated. The most significant factor related to cholinesterase was total cholesterol content, and the activity of GPT was the second. The Multiple regression coefficients of the equation between the cholinesterase and total cholesterol and GPT were from 9.7 to 18.3.
Using all biochemical factors as independent variables, the most suitable equation was determined from calculating the predictive sum of square (PSS). The activity of cholinesterase (ln (ChE)) depends upon the following factors, age, ln (GPT), ln (TCh) and Broca index. Hemoglobin content could also be added as a variable. The equation is;
ln (ChE) =0.002126 (age) +0.04028 ln (GPT) +0.2112 ln (TCh) +0.002188 (Broca index)-1.5687+α Where α is the parameter of each population.
From this equation, the standard value of the activity of cholinesterase of each woman was calculated. The estimate of cholinesterase activity may be useful to examine the inhibitory effect of pesticides on cholinesterase.
