Table 4 Parameter estimates for logistic regression models developed with different parameters
From: Sensor-based characterization of daily walking: a new paradigm in pre-frailty/frailty assessment
Model Features | Parameter | Parameter Estimate | Std. Error | χ2 | p-value |
|---|---|---|---|---|---|
MODEL 1: Age | Age | −0.0885 | 0.03 | 9.75 | 0.002 |
MODEL 2: Total number of steps | Total number of steps | 0.0001 | 0.00 | 12.54 | 0.001 |
MODEL 3: Gait performance parameters | Age (years) | −0.1191 | 0.04 | 8.27 | 0.004 |
BMI (kg/m2) | −0.1772 | 0.06 | 8.49 | 0.004 | |
Stride variability (%) | −0.2507 | 0.11 | 5.39 | 0.020 | |
Dominant frequency (Hz) | 6.6265 | 2.14 | 9.62 | 0.002 | |
Max no. of continuous steps | 0.0001 | 0.00 | 0.33 | 0.565 |