Table 3.
Multiple regression analysis for risk factors of metabolic syndrome.
| OR | Inverse of OR | 95%CI | p-Value | |
|---|---|---|---|---|
| Entire model | <0.0001 ** | |||
| Age (/years) | 1.0550 | 0.9478 | 1.0356, 1.0749 | <0.0001 ** |
| Sex (male/female) | 2.9514 | 0.3388 | 1.8572, 4.6902 | <0.0001 ** |
| Smoking habit (yes/no) | 1.1390 | 0.8779 | 0.5497, 2.3602 | 0.7262 |
| WBC (/units) | 1.0004 | 0.9996 | 1.0000, 1.0003 | <0.0001 ** |
| UA (/units) | 1.2275 | 0.8147 | 1.0443, 1.4428 | 0.0129 * |
| LDL (/units) | 0.9976 | 1.0024 | 0.9915, 1.0037 | 0.4455 |
| Skin carotenoid (/units) | 0.9973 | 1.0026 | 0.9973, 0.9956 | 0.0023 ** |
Multivariate logistic regression analysis was performed with the following factors: age, sex, the presence of smoking habit, WBC, UA and skin carotenoid. p values were calculated using the likelihood ratio test. Odds ratios for continuous variables are expressed as the odds ratio associated with a one-unit increase. The * and ** correspond to the significance levels at 5% (p < 0.05) and 1% (p < 0.01), respectively. OR, odds ratio; CI, confidence interval; WBC, white blood cell; UA, uric acid.