Skip to main content

Table 1 Demographics and characteristics of all post-stroke elderly

From: Pressure pain threshold and somatosensory abnormalities in different ages and functional conditions of post-stroke elderly

 

All participants (n = 43)

Lower-aged (n = 19)

Higher-aged (n = 24)

p

Sex, male n (%)

27 (62.8%)

14 (73.7%)

13 (54.2%)

0.189

BMI (kg/m2)

23.24 (21.48–26.03)

23.89 (22.60–27.34)

23.14 (21.27–24.31)

0.276

Smoking n (%)

21 (48.8%)

12 (63.2%)

9 (37.5%)

0.182

Drinking n (%)

16 (37.2%)

11 (57.9%)

5 (20.8%)

0.409

Days between stroke onset and assessment

324.00 (195.00–537.00)

489.00 (230.00–726.00)

295.5 (127.75–471.50)

0.053

Stroke type

   

0.326

 Hemorrhage n (%)

11 (25.6%)

8 (42.1%)

3 (12.5%)

N/A

 Ischemia n (%)

32 (74.4%)

11 (57.9%)

21 (87.5%)

N/A

Right-side affected n (%)

19 (44.2%)

8 (42.1%)

11 (45.8%)

0.807

MMSE

28.00 (22.00–30.00)

29.00 (21.00–30.00)

26.00 (22.00–30.00)

0.478

Barthel Index

65.00 (45.00–85.00)

65.00 (45.00–85.00)

67.00 (46.25–84.75)

0.893

FM-UL

18.00 (11.00–53.00)

15.00 (6.00–36.00)

20.00 (16.25–53.00)

0.101

FM-LL

20.00 (13.00–27.00)

15.00 (9.00–20.00)

20.50 (12.25–27.50)

0.962

FM-MF

40.00 (25.00–77.00)

21.00 (14.00–30.00)

42.00 (29.25–77.75)

0.365

FM-JP

38.00 (30.00–44.00)

30.00 (18.00–36.00)

38.00 (24.50–44.00)

0.748

FMA-BF

10.00 (8.00–11.00)

7.00 (4.00–10.00)

10.00 (8.00–11.00)

0.776

FMA-SF

20.00 (14.00–24.00)

14.00 (10.00–21.00)

19.50 (12.50–24.00)

0.664

FMA-ROM

37.00 (28.00–44.00)

30.00 (27.00–34.00)

37.50 (24.00–44.00)

0.775

  1. All elderly were divided into the lower-aged and the higher-aged groups based on the median age (71) of them
  2. BMI Body mass index, MMSE Mini-Mental State Exam, FM Fugl-Meyer Assessment, UL Upper limb, LL Lower limb, MF Motor function, JP Joint pain, BF Balance function, S Sensory function, ROM RZange of motion of joints
  3. Data were presented as median (Q1-Q3) or as the number of participants (%). p-values came from the Mann–Whitney U-test for quantitative data and the Chi-square test for qualitative data