Table 6 Multinomial logistic regression results for GAIT and COG tasks to distinguish newly diagnosed PD and early PSP patients.

From: Gait analysis may distinguish progressive supranuclear palsy and Parkinson disease since the earliest stages

Variables

GAIT task

COG dual task

Odds Ratio (95% CI)

p-value

Odds Ratio (95% CI)

p-value

Cycle duration

NI

NI

NI

NI

Stance duration

NI

NI

NI

NI

Swing duration

NI

NI

NI

NI

Variability of swing’s duration

NI

NI

NI

NI

Stance phase

1.303

(1.087–1.561)

0.040*

1.280

(1.072–1.529)

0.006**

Swing phase

NI

NI

NI

NI

Single support phase

NI

NI

NI

NI

Double support phase

NI

NI

NI

NI

Mean velocity

NI

NI

NI

NI

Mean velocity

NI

NI

NI

NI

Cadence^

0.960

(0.893–1.033)

0.274

0.843

(0.735–0.967)

0.014*

Cycle length

0.000

(0.000–0.143)

0.021*

NI

NI

Cycle length

NI

NI

NI

NI

Step length

NI

NI

0.078

(0.000–1630.00)

0.615

Variability of the length of step

NI

NI

NI

NI

Step width

NI

NI

NI

NI

  1. Odds ratio (95% confidence interval) and p-value for each variable were considered in the model.
  2. PD Parkinson’s disease, PSP progressive supranuclear palsy, NI not included.
  3. *Significance level at 0.05.
  4. **Significance level at 0.01.