Table 2. Multivariate analysis of obesity and BED effectsa on BP illness burden.
N | Effect | OR | 95% CI | p-Value | ||
---|---|---|---|---|---|---|
Binary outcomesb | 711 | Obesity | 1.348 | 0.975 | 1.865 | 0.0709 |
≥1 Suicide attempt (Y/N) | BED | 2.165 | 1.296 | 3.613 | 0.0032 | |
Psychosis (Y/N) | 709 | Obesity | 0.792 | 0.583 | 1.075 | 0.1346 |
BED | 2.046 | 1.217 | 3.440 | 0.0069 | ||
Ordinal outcomec | ||||||
Substance abuse comorbidity sum | 716 | Obesity | 0.733 | 0.556 | 0.967 | 0.0279 |
BED | 1.589 | 1.001 | 2.524 | 0.0497 | ||
Estimate | St. Err. | t-Value | p-Value | |||
| ||||||
Continuous outcomesd | 561 | Obesity | 0.053 | 0.124 | 0.43 | 0.6671 |
Mood instability sum | BED | 0.433 | 0.205 | 2.11 | 0.0353 | |
Anxiety disorder comorbidity sum | 715 | Obesity | 0.038 | 0.111 | 0.34 | 0.7321 |
BED | 0.890 | 0.189 | 4.77 | < 0.0001 | ||
CIRS | 636 | Obesity | 1.018 | 0.287 | 3.54 | 0.0004 |
BED | 0.743 | 0.486 | 1.53 | 0.1266 |
Interactions between obesity and BED were also explored for each outcome, but none were included in the above models due to non-significance (p-values > 0.05).
Logistic regression.
Ordinal logistic regression.
Linear regression.