Xie et al reported models for identify a Chinese adult at risk for Type 2 diabetes. The authors are from the University of Melbourne, Shenzhen University, Peking Union Medical College and Tulane University.
Patient selection: Chinese adult
Parameters:
(1) sex
(2) waist to hip ratio
(3) waist circumference in cm
(4) age
(5) body mass index
value of X for a female =
= (0.048 * (age)) + (0.02 * (waist circumference)) + (4.01 * (waist to hip ratio))
value of X for a male =
= (0.033 * (age)) + (0.019 * (waist circumference)) + (3.691 * (waist to hip ratio)) + (0.043 * (BMI))
probability of diabetes =
= 1 / (1 + EXP((-1) * X))
NOTE: These equations give unacceptable results. To be noted is that the equations to determine X do not have a constant, which is typical for a logistic regression equation. No correction was published and there is no supplemental file on-line.
An attempt was made to try to estimate the constants based on available data. The following constants were derived:
(1) female: -10.19
(2) male: -10.78
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