Skip to main content

Table 5 Logistic regression model using IMU (G-STRIDE) variables

From: Predictors of fall risk in older adults using the G-STRIDE inertial sensor: an observational multicenter case–control study

Characteristic

log(OR)a

95% CIa

p-value

Total distance (m)

0.00

0.00, 0.00

0.4

GCT ST

29

2.5, 59

0.032

StancePushing time (% GCT)

0.06

-0.40, 1.1

0.8

Swing (% GCT)

-0.11

-0.68, 1.0

0.8

Stance—Loading time (% GCT)

0.27

-0.36, 1.4

0.4

Stance—FootFlat time (% GCT)

-0.06

-0.52, 1.0

0.9

Stance—FootFlat time STD

-0.79

-1.5, -0.15

0.015

Toe off angle (deg)

0.04

-0.05, 0.13

0.4

Heel strike angle (deg)

-0.05

-0.24, 0.13

0.6

Heel strike angle STD

-0.56

-1.6, 0.38

0.2

Cadence (steps/min)

0.04

-0.22, 0.32

0.7

StepSpeed (m/s)

-2.8

-19, 12

0.7

StrideLength—SL (m)

0.52

-13, 15

 > 0.9

Clearance (m)

4.1

-12, 23

0.6

Clearance STD

-13

-80, 46

0.7

  1. aOR Odds Ratio, CI Confidence Interval