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Multiple regression analysis of the cholinesterase activity with certain physiochemical factors
Abstract:
Nineteen hundred sixteen agricultural workers who have been living in a rural area in central Japan were studied. Their age, blood pressure, Broca index, hemoglobin content, serum total cholesterol, and activity of serum cholinesterase and transaminase (GOT and GPT) were determined. The relation between the cholinesterase activity and certain physiochemical factors of the subjects was studied. Cholinesterase activity (ChE) is related to certain factors such as age, hemoglobin content (Hb), serum total cholesterol (TCh), transaminase activity (GPT), and Broca index (BI). A multiple regression equation exists between the cholinesterase activity and these factors: ln ChE = a (age) + b (Hb2) + c X ln GPT + d X ln TCh + e BI + f, where a, b, c, d, e, and f are constants. The estimated value of cholinesterase activity agrees with its measured activity. The partial correlation coefficients of the equation can be classified into the following three classes: (1) The partial correlation coefficients of total cholesterol and Broca index are nearly constant without distinction of sex and season. (2) The coefficient of hemoglobin content has a small seasonal and sexual difference. (3) The coefficients of age and GPT have a great seasonal and sexual difference. Using the equation, the most probable value of cholinesterase activity can be estimated. Therefore, the significant changes of its activity may be attributed to the toxic effects of insecticides or the abnormality of liver function.