Table 3. Binary logistic regression analysis of independent risk factors for elevated blood pressure (methods: forward:conditional).
Characteristic | Binary logistic regression |
||||
---|---|---|---|---|---|
Men (N=4,851) |
Women (N=4,186) |
||||
OR (95% CI) | P | OR (95% CI) | P | ||
Age (y) | 1.034 (1.029-1.039) | 0.000 | 1.056 (1.048-1.063) | 0.004 | |
Smoking (Yes =1, No =0) | 1.164 (1.108-1.215) | 0.003 | 1.123 (1.104-1.145) | 0.009 | |
Hgb (Group 2 =1, Group 3, 4, 5, 6 =0) | 1.216 (1.138-1.293) | 0.000 | 1.287 (1.229-1.363) | 0.000 | |
Hyperuricemia (Yes =1; No =0) | 1.004 (1.001-1.006) | 0.039 | – | 0.238 | |
Dyslipidemia (Yes =1, No =0) | 1.115 (1.089-1.146) | 0.009 | 1.139 (1.072-1.194) | 0.004 | |
DM (Yes =1, No =0) | 1.265 (1.115-1.347) | 0.000 | 1.154 (1.097-1.208) | 0.012 | |
Obesity (Yes =1, No =0) | 1.109 (1.083-1.131) | 0.013 | 1.088 (1.064-1.115) | 0.034 |
DM, diabetes mellitus.