Table 5.
Logistic regression models for hanging presence (‘postural’ subcategory) 1.
| Independent Variables | Unadjusted Odds Ratio and p-Value | Adjusted Odds Ratio * | 95% CI * | p-Value * | Positively and Significantly Predicts Hanging? * (Result the Same if Age, Sex and Scanning Level not Controlled for?) |
|---|---|---|---|---|---|
| Floating limb presence vs. absence 2 | 0.81 (0.675) | 0.74 | 0.29–1.93 | 0.723 | No (Unadjusted relationship is also negative) |
| Leg-lifting presence vs. absence 2 | 0.64 (0.764) | 0.53 | 0.16–1.75 | 0.851 | No (Unadjusted relationship is also negative) |
| Withdrawn presence vs. absence 3 | 0.84 (0.561) | 0.84 | 0–5.19 | 0.561 | No (Unadjusted relationship is also negative) |
* Adjusted for sex, age, and scanning level. 1 One-tailed p-values are reported here. 2 Interaction not tested due to insufficient observations. 3 Based on a univariable analysis since there were too few observations to fit a multivariable model.