Table 2. Binary logistic regression model for predicting the occurrence of multiple sclerosis.
β (S.E): regression coefficient b (standard error for β); OR (95% CI): odds ratio (confidence interval); statistical significance for p<0.05; OSI: oxidative stress index; 8-oxodG: 8-oxo-7,8-dihidro-2’-deoxiguanosine; χ2: chi-squared test.
| Predictors | β (S.E.) | p | OR (95% CI) |
|---|---|---|---|
| Passive smoking | 2.38 (0.57) | <0.001 | 10.83 (3.54–33.12) |
| OSI | 3.00 (1.23) | 0.014 | 20.12 (1.82–222.62) |
| 8-oxodG/creatinine | 0.69 (0.19) | <0.001 | 1.99 (1.35–2.92) |
| Constant | -2.86 (0.63) | ||
| The whole model | χ2(df 5. N351) = 54.37; p < 0.001 | ||