Table 5.
Binary logistic regression with post-partum depression (yes vs. no) as dependent variable, and antenatal hair steroid levels (cortisol; cortisone; testosterone; progesterone; DHEA) as predictors.
| Dimension | Variables | Coefficient | Standard Error | Wald | p | Nagelkerke R2 |
|---|---|---|---|---|---|---|
| Depression (yes vs. no) |
Intercept | 2.99 | 1.074 | 7.729 | 0.003 | 0.924 |
| Cortisol prenatal | −0.526 | 0.150 | 12.366 | 0.000 | ||
| Cortisol postnatal | 1.083 | 0.307 | 12.471 | 0.001 | ||
| Cortisone postnatal | −0.304 | 0.131 | 5.440 | 0.020 | ||
| Progesterone prenatal | −0.019 | 0.007 | 7.043 | 0.008 | ||
| Progesterone postnatal | −0.024 | 0.011 | 4.759 | 0.029 | ||
| DHEA prenatal | 0.211 | 0.099 | 4.525 | 0.033 | ||
| Excluded variables | Cortisone prenatal, testosterone prenatal, testosterone postnatal, DHEA postnatal, (all Wald’s < 1.8, all p’s > 0.10). | |||||
Notes: DHEA = dehydroepiandrosterone.