Table 3.
Summary of Beta regression model of variables related to PAI score.
Variable | Estimate | St. Error | p-value |
---|---|---|---|
(Intercept) | 0.4007 | 0.7996 | .61 |
age | -0.0125 | 0.0042 | .003* |
early abortion (Yes vs No) | 0.0060 | 0.0399 | 0.88 |
high-risk pregnancy (Yes vs No) | 0.0501 | 0.0507 | .32 |
early chilbirth (Yes vs No) | -0.1310 | 0.0374 | .0005⁎⁎ |
married (Yes vs No) | 0.0505 | 0.0361 | .16 |
high education level (Yes vs No) | -0.1069 | 0.0373 | .004* |
gestational age† | 0.5359 | 0.0409 | <.0001⁎⁎ |
BDI-II-total score | -0.0035 | 0.0035 | .32 |
STAI form Y2 | -0.0137 | 0.0029 | <.0001⁎⁎ |
STAI form Y1 | -0.0552 | 0.0165 | .0008⁎⁎ |
Covid-19-Perceptions Risk Index† | -0.2216 | 0.2755 | .42 |
STAI form Y1: Covid-19-Perceptions Risk Index† | 0.0189 | 0.0056 | .0008⁎⁎ |
Note. Parameter estimates are log odds ratios: positive values suggest high probability to increase PAI. The term with “:” in the last row indicates the interaction term between the two variables;
values on the log scale;
p-value < 0.01.
p-value < 0.001.