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Table 1 Demographic and clinical characteristics

From: Automated and accurate assessment for postural abnormalities in patients with Parkinson’s disease based on Kinect and machine learning

MDS-UPDRS-III 3.13 score

0

1

2

3

4

p-value

Number

13

12

33

6

6

 

Male (%)

6 (46.2)

7 (58.3)

27 (81.8)

5 (83.3)

3 (50.0)

0.084

Age

64.0 ± 6.0

70.3 ± 7.4

69.3 ± 6.3

62.0 ± 11.2

71.3 ± 5.5

0.018*

Onset age

61.2 ± 7.0

67.5 ± 8.3

63.1 ± 7.5

57.3 ± 10.8

64.0 ± 7.1

0.170

Duration (years)

2.8 ± 2.8

2.8 ± 2.0

6.2 ± 3.6

4.7 ± 3.3

7.3 ± 5.5

0.003**

Hoehn-Yahr

1.5 ± 0.5

1.8 ± 0.8

2.4 ± 0.9

2.7 ± 0.5

2.3 ± 0.5

0.001**

F1 (degree)

3.2 ± 4.5

5.8 ± 4.2

9.4 ± 6.3

10.3 ± 12.0

10.3 ± 5.5

0.010*

F2 (degree)

0.7 ± 0.9

1.1 ± 1.0

2.3 ± 1.8

4.3 ± 4.8

2.3 ± 1.6

0.008**

F3 (degree)

26.5 ± 8.0

34.0 ± 9.9

42.6 ± 9.3

47.8 ± 14.7

54.5 ± 19.0

 < 0.001***

F4 (degree)

18.7 ± 3.4

20.7 ± 3.4

23.9 ± 4.9

25.3 ± 5.9

41.8 ± 15.1

 < 0.001***

F5 (degree)

8.4 ± 4.0

9.8 ± 3.1

11.9 ± 5.7

13.2 ± 5.6

25.8 ± 18.9

 < 0.001***

F6 (degree)

31.1 ± 5.5

31.9 ± 5.0

36.0 ± 6.5

37.7 ± 2.2

39.7 ± 6.5

0.013*

F7 (%)

20.2 ± 4.2

22.1 ± 3.3

25.2 ± 4.1

26.8 ± 4.0

46.7 ± 12.9

 < 0.001***

F8 (degree)

14.2 ± 7.9

19.8 ± 9.0

25.5 ± 9.1

29.2 ± 12.1

20.8 ± 17.0

0.008**

  1. *p < 0.05, **p < 0.01, ***p < 0.001