Table 2.
Regression analyses for gravidity and biomarkers (oxidative stress and antioxidant defense, 8-OHdG and Cu-Zn SOD).
| 8-OHdG† | β Coeff (SE) | P value | Model R2 |
|---|---|---|---|
| Intercept | 0 | 0.004 | 0.067 |
| Age | −0.076 (0.23) | 0.387 | |
| BMI | −0.096 (0.32) | 0.140 | |
| Marital status | −0.038 (4.15) | 0.595 | |
| Education (years) | −0.047 (2.19) | 0.572 | |
| Menopausal status | −0.108 (5.50) | 0.155 | |
| Smoking | 0.029 (5.18) | 0.660 | |
| Long-term Health Problems | −0.048 (3.78) | 0.474 | |
| Gravidity | 0.231 (1.10) | 0.008 | |
| Rural/urban sample | −0.027 (7.61) | 0.841 | |
| Alcohol use | −0.092 (3.77) | 0.156 | |
| Gravidity * Rural/urban sample | −0.120 (2.47) | 0.278 | |
| Cu-Zn SOD‡ | β Coeff (SE) | P value | Model R2 |
| Intercept | 0 | <0.001 | 0.159 |
| Age | 0.027 (0.03) | 0.766 | |
| BMI | 0.006 (0.042) | 0.925 | |
| Marital status | −0.070 (0.54) | 0.361 | |
| Education (years) | −0.052 (0.29) | 0.560 | |
| Menopausal status | −0.117 (0.76) | 0.146 | |
| Smoking | −0.050 (0.72) | 0.468 | |
| Long-term Health Problems | −0.004 (0.49) | 0.954 | |
| Alcohol use | −0.071 (0.51) | 0.303 | |
| Gravidity | 0.263 (0.15) | 0.006 | |
| Rural/urban sample | −0.094 (0.97) | 0.499 | |
| Gravidity * Rural/urban sample | −0.188 (0.31) | 0.091 |
†
8-Oxo-2’-deoxyguanosine;
‡
Copper-zinc superoxide dismutase Presents association between biomarkers and gravidity, possible confounding variables, and residence location. N = 263.