Table 4.
Linear regression analysis examining the effect of severe obesity on log LOS and log FIM efficiency.
| Model | Variable | Beta-coefficient (SE) | P value |
|---|---|---|---|
| Overall LOS model R2 = 0.1798 |
Intercept | 4.44 (0.46) | <0.0001 |
| Severe obesity | 0.51 (0.23) | 0.03 | |
| Retired (versus employed) | 0.67 (0.26) | 0.01 | |
| Age (per one year increase) | −0.02 (0.009) | 0.04 | |
| smoking former | −0.26 (0.19) | 0.17 | |
| Diabetes | −0.26 (0.22) | 0.25 | |
| Rehab LOS model R2 = 0.1693 |
Intercept | 4.14 (0.37) | <0.0001 |
| Severe obesity | 0.46 (0.18) | 0.02 | |
| Retired (versus employed) | 0.47 (0.21) | 0.03 | |
| Diabetes | −0.32 (0.18) | 0.08 | |
| Age (per one year increase) | −0.01 (0.01) | 0.09 | |
| Mental illness | −0.21 (0.15) | 0.16 | |
| FIM efficiency model R2 = 0.3133 |
Intercept | −2.12 (0.59) | 0.0006 |
| Severe obesity | −0.63 (0.33) | 0.06 | |
| Unemployed (versus employed) | −0.84 (0.27) | 0.003 | |
| Heart Disease | −0.60 (0.34) | 0.08 | |
| Mental illness | 0.65 (0.25) | 0.01 | |
| Asthma | 1.01 (0.63) | 0.11 | |
| Current smoker (versus never) | 0.60 (0.30) | 0.05 | |
| Age | 0.02 (0.01) | 0.07 | |
| HTN | 0.52 (0.32) | 0.10 | |
| Venous thromboembolic disease | 0.68 (0.42) | 0.13 | |
| Dementia | −0.66 (0.42) | 0.13 | |
| PVD | −0.55 (0.40) | 0.18 | |
| DM | 0.37 (0.30) | 0.23 | |
LOS: length of stay; FIM: functional independence measure.