Table 2 Logistic regression and fit results
From: Development of a flexible self-calculation scoring model to determine stroke occurrence
Variable | Z value | P value | Coefficients | CI [0.025, 0.975] |
|---|---|---|---|---|
Univariate logistic regression | Â | Â | Â | Â |
 Age | -76.1 | < 0.001 | -0.73 | [-0.75, -0.71] |
 Average glucose level | -41.5 | < 0.001 | -1.42 | [-1.49, -1.36] |
 Body mass index | -25.7 | < 0.001 | -0.76 | [-0.82, -0.70] |
 Ever-married status | -48.8 | < 0.001 | -0.77 | [-0.80, -0.74] |
 Heart disease | -45.8 | < 0.001 | -2.99 | [-3.12, -2.86] |
 Hypertension | -36.8 | < 0.001 | -1.52 | [-1.60, -1.44] |
 Residence type | -1.5 | 0.137 | -1.00 | [-2.32, 0.32] |
 Sex | -1.0 | 0.305 | -1.00 | [-2.92, 0.91] |
 Smoking status | -31.1 | < 0.001 | -0.93 | [-0.98, -0.87] |
 Work type | -43.0 | < 0.001 | -0.59 | [-0.62, -0.57] |
Multivariable logistic regression | Â | Â | Â | Â |
 Constant | -59.2 | < 0.001 | -4.19 | [-4.32, -4.05] |
 Age | -16.9 | < 0.001 | -0.94 | [-1.04, -0.83] |
 Average glucose level | -4.3 | < 0.001 | -0.37 | [-0.54, -0.20] |
 Heart disease | -4.8 | < 0.001 | -0.34 | [-0.48, -0.20] |
 Hypertension | -2.7 | 0.007 | -0.26 | [-0.44, -0.07] |