Table 4.
Coefficient-Level Estimates for a Linear Regression Model Fitted to Estimate Variation in Average Amygdala Volume
| Predictor | β | 95% CI | t | p |
|---|---|---|---|---|
| Intercept | 0.01 | −0.06 to 0.08 | 3.53 | <.001 |
| Cortisol Slope | 0.04 | −0.03 to 0.12 | 0.57 | .572 |
| Disadvantage Factor | −0.14 | −0.23 to −0.05 | 1.93 | .055 |
| Infant Age at Scan | −0.03 | −0.12 to 0.06 | −0.71 | .481 |
| Infant Sex | −0.10 | −0.17 to −0.02 | −2.44 | .016 |
| Infant Birth Weight | −0.06 | −0.15 to 0.02 | −1.51 | .133 |
| Total Gray Matter Volume | 0.77 | 0.67 to 0.88 | 14.24 | <.001 |
| Maternal Tobacco Use | −0.08 | −0.16 to 0 | −2.08 | .039 |
| Maternal Cannabis Use | 0.08 | −0.01 to 0.16 | 1.81 | .071 |
| Cortisol Slope × Disadvantage Factor | −0.14 | −0.22 to −0.07 | −3.60 | <.001 |
Outcome = bilateral amygdala volume. One outlier −5 SD from the mean of cortisol area under the curve with respect to ground was removed.