Table 4.
Logistic regression analysis
| Han | Kazak | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||||
| B | S.E. | Wald | P | OR | 95% CI | B | S.E. | Wald | P | OR | 95% CI | |
| Dominant model | 2.131 | 0.664 | 10.318 | 0.001* | 8.426 | 2.295-30.933 | 1.677 | 0.492 | 11.603 | 0.001* | 1.874 | 0.71-4.915 |
| Hypertension | 1.971 | 0.571 | 11.902 | 0.001* | 7.181 | 2.343-22.011 | 0.701 | 0.336 | 4.354 | 0.037* | 4.962 | 2.571-9.584 |
| SBP | 0.109 | 0.023 | 23.205 | 0.000* | 1.115 | 1.067-1.165 | 0.024 | 0.013 | 3.579 | 0.059 | 1.024 | 0.999-1.050 |
| DBP | 1.280 | 0.0413 | 9.586 | 0.002* | 3.597 | 1.600-8.090 | 0.090 | 0.095 | 0.902 | 0.342 | 9.147 | 7.509-11.004 |
| Constant | ||||||||||||
*
indicated significant difference compared to control.