Skip to main content

Table 1 Sociodemographic characteristics of Chinese adults with stroke according to the CHARLS survey cycle

From: Comparative analysis of sleep duration and stroke prevalence in China and the U.S. before and during COVID-19

Characteristic

2018 CHARLS Database

2020 CHARLS Database

Total

(n = 13,514)

Non-stroke

(n = 12,367)

Stroke

(n = 1147)

P

Total

(n = 9,441)

Non-stroke

(n = 8615)

Stroke

(n = 826)

P

Sleeptime

6.16 ± 2.08

6.17 ± 2.04

6.03 ± 2.43

0.047

6.02 ± 2.00

6.04 ± 1.97

5.79 ± 2.26

0.002

Age

64.73 ± 9.22

64.43 ± 9.20

67.86 ± 8.86

 < 0.001

66.30 ± 8.76

66.06 ± 8.74

68.79 ± 8.53

 < 0.001

Sex. n(%)

   

0.025

   

0.015

Female

7226 (53.47)

6649 (53.76)

577 (50.31)

 

5056 (53.55)

4633 (53.78)

423 (51.21)

 

Male

6288 (46.53)

5718 (46.24)

570 (49.69)

 

4385 (46.45)

3982 (46.22)

403 (48.79)

 

Marital status,n(%)

   

 < 0.001

   

0.002

Nonmarried,n(%)

2338 (17.30)

2075 (16.78)

263 (22.93)

 

1732 (18.35)

1547 (17.96)

185 (22.40)

 

Married

11,176 (82.70)

10,292 (83.22)

884 (77.07)

 

7709 (81.65)

7068 (82.04)

641 (77.60)

 

Ethnicity,n(%)

   

0.013

   

0.559

non-Han ethnicity

1044 (7.73)

934 (7.55)

110 (9.59)

 

684 (7.24)

620 (7.20)

64 (7.75)

 

Han ethnicity

12,470 (92.27)

11,433 (92.45)

1037 (90.41)

 

8757 (92.76)

7995 (92.80)

762 (92.25)

 

Education,n(%)

   

0.072

   

0.028

Primary school or below

9017 (66.72)

8218 (66.45)

799 (69.66)

 

6680 (70.76)

6065 (70.40)

615 (74.46)

 

Middle school

2877 (21.29)

2660 (21.51)

217 (18.92)

 

1890 (20.02)

1753 (20.35)

137 (16.59)

 

high school or abover

1620 (11.99)

1489 (12.04)

131 (11.42)

 

871 (9.23)

797 (9.25)

74 (8.96)

 

Hypertension,n(%)

   

 < 0.001

   

 < 0.001

No

7793 (57.67)

7469 (60.39)

324 (28.25)

 

5217 (55.26)

4988 (57.90)

229 (27.72)

 

Yes

5721 (42.33)

4898 (39.61)

823 (71.75)

 

4224 (44.74)

3627 (42.10)

597 (72.28)

 

Diabetes,n(%)

   

 < 0.001

   

 < 0.001

No

11,648 (86.19)

10,794 (87.28)

854 (74.46)

 

7942 (84.12)

7341 (85.21)

601 (72.76)

 

Yes

1866 (13.81)

1573 (12.72)

293 (25.54)

 

1499 (15.88)

1274 (14.79)

225 (27.24)

 

Dyslipidemia,n(%)

   

 < 0.001

   

 < 0.001

No

10,358 (76.65)

9717 (78.57)

641 (55.88)

 

6798 (72.01)

6388 (74.15)

410 (49.64)

 

Yes

3156 (23.35)

2650 (21.43)

506 (44.12)

 

2643 (27.99)

2227 (25.85)

416 (50.36)

 

Drinking,n(%)

   

 < 0.001

   

 < 0.001

No

9218 (68.23)

8341 (67.46)

877 (76.46)

 

6345 (67.21)

5719 (66.38)

626 (75.79)

 

Yes

4293 (31.77)

4023 (32.54)

270 (23.54)

 

3096 (32.79)

2896 (33.62)

200 (24.21)

 

Smoking,n(%)

   

 < 0.001

   

 < 0.001

No

10,004 (74.04)

9096 (73.57)

908 (79.16)

 

7086 (75.06)

6426 (74.59)

660 (79.90)

 

Yes

3507 (25.96)

3268 (26.43)

239 (20.84)

 

2355 (24.94)

2189 (25.41)

166 (20.10)

 

Poverty level,n(%)

   

0.006

   

0.011

Low

2224 (25.01)

1990 (24.57)

234 (29.47)

 

2378 (25.19)

2139 (24.83)

239 (28.93)

 

Middle

4446 (49.99)

4083 (50.41)

363 (45.72)

 

4670 (49.47)

4265 (49.51)

405 (49.03)

 

High

2224 (25.01)

2027 (25.02)

197 (24.81)

 

2393 (25.35)

2211 (25.66)

182 (22.03)

Â