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Table 2 Predictors associated with the logistic regression model

From: Predictive models for diabetes mellitus using machine learning techniques

Variables Estimated coefficient Odds ratio 95% CI for odds ratio P Value
Intercept −11.816    < 0.0001
Age
 Middle-Aged (40–64) (Reference) 1.000   
 Elderly (85–90) −0.829 0.436 (0.31, 0.61) < 0.0001
 Senior (65–84) −0.127 0.881 (0.78, 0.99) 0.036
 Young (< 40) 0.238 1.269 (0.90, 1.79) 0.170
Male −0.250 0.779 (0.69, 0.88) < 0.0001
FBS 1.963 7.122 (6.45, 7.87) < 0.0001
BMI 0.023 1.024 (1.01, 1.03) < 0.0001
HDL −0.894 0.409 (0.34, 0.49) < 0.0001
TG 0.158 1.171 (1.09, 1.26) < 0.0001
sBP −0.001 0.999 (0.96, 1.00) 0.560
LDL −0.011 0.990 (0.93, 1.05) 0.740