| Original Model |  | Model after internal validation | |
---|---|---|---|---|
Variable | Regression coefficient | Odds Ratio (95% CI) | p-value | Regression coefficienta |
Model 1—Cut-off value for low or high PA levels at 50.0% of the cohort (64.4 min standing/walking) | ||||
 Intercept | 2.042 | - | .000 | 1.942 |
 SPPB | -.251 | .778 (.677 – .894) | .000 | -.239 |
 AM-PAC (independent) | -.894 | .409 (.159 – 1.054) | .064 | -.850 |
 Sex (female) | -.519 | .595 (.269 – 1.313) | .199 | -.493 |
Model 2—Cut-off value for low or high PA levels at 33.3% of the cohort (47.2 min standing/walking) | ||||
 Intercept | 7.008 | - | .022 | 6.255 |
 SPPB | -.305 | .737 (.608 – .894) | .002 | -.275 |
 AM-PAC (independent) | -1.124 | .325 (.115 – .921) | .034 | -1.012 |
 Age | -.078 | .925 (.861 – .994) | .034 | -.070 |
 Walking aid |  |  |  |  |
  Crutch/Cane | -.006 | .994 (.248 – 3.977) | .993 | -.006 |
  Walker | 1.281 | 3.601 (1.317 – 9.843) | .013 | 1.153 |
To estimate the individual probability of low PA levels during hospitalisation:   Model 1: P(Low PA) = 1 / (1 + e(−(1.942 − .239*SPPB − .850*AM−PAC − .493*Female))) *100%   Model 2: P(Low PA) = 1 / (1 + e(−(6.255 − .275*SPPB − 1.012*AM−PAC − .070*Age − .006*Crutch/Cane + 1.153*Walker))) *100% |