Table 7.
Binary logistic regression associating FAS diagnosis and select physical features as a function of multifaceted case management participation status.
| B | SE | Sig | Odds ratio | 95% CI |
||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Predicting FAS (n = 63) | ||||||
| Not in MCM vs. in MCM (reference) | 1.147 | .540 | .034 | 3.15 | 1.093 | 9.081 |
| Constant | −.336 | .414 | .416 | .714 | – | – |
| Predicting OFC ≤3rd centile (n = 91) | ||||||
| Not in MCM vs. in MCM (reference) | 1.671 | .475 | <.001 | 5.317 | 2.094 | 13.496 |
| Constant | −1.170 | .382 | .002 | .310 | – | – |
| Predicting OFC ≤10th centile (n = 91) | ||||||
| Not in MCM vs. in MCM (reference) | 1.452 | .455 | .001 | 4.271 | 1.750 | 10.424 |
| Constant | −.427 | .332 | .198 | .652 | – | – |
| Predicting PFL ≤3rd centile (n = 91) | ||||||
| Not in MCM vs. in MCM (reference) | .900 | .436 | .039 | 2.461 | 1.047 | 5.782 |
| Constant | −.318 | .329 | .332 | .727 | – | – |