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Table 2 Demographic characteristics and hypertension prevalence of study population in China, 2011–2018 [n(%) /mean(sd)]

From: Changing inequity in health service utilization and financial burden among patients with hypertension in China: evidence from China Health and Retirement Longitudinal Study (CHARLS), 2011–2018

Variables

Demographic Characteristics and hypertension prevalence

2011 wave

2013 wave

2015 wave

2018 wave

Total

Hypertension

Total

Hypertension

Total

Hypertension

Total

Hypertension

Total

16,970

4283 (25.2%)

17,557

5180 (29.5%)

16,102

4810 (29.9%)

19,732

6496 (32.9%)

Age (years)

 45–54

6144 (36.2%)

1046 (17.0%)

5801 (33.0%)

1155 (19.9%)

5398 (33.5%)

960 (17.8%)

5665 (29.6%)

1168 (20.6%)

 55–64

6282 (37.0%)

1666 (26.5%)

6513 (37.1%)

1959 (30.1%)

5496 (34.1%)

1668 (30.3%)

6260 (32.7%)

2033 (32.5%)

 65–74

3087 (18.2%)

1039 (33.7%)

3542 (20.2%)

1386 (39.1%)

3590 (22.3%)

1466 (40.8%)

4935 (25.8%)

2091 (42.4%)

 75 and above

1457 (8.6%)

532 (36.5%)

1701 (9.7%)

680 (40.0%)

1618 (10.0%)

716 (44.3%)

2285 (11.9%)

1063 (46.5%)

\({\chi }^{2}\)

 

439.3***

 

505.2***

 

742.8***

 

775.9***

Sex

 Male

8288 (48.8%)

1959 (23.6%)

8504 (48.4%)

2403 (28.3%)

7770 (48.3%)

2206 (28.4%)

9304 (47.2%)

3037 (32.6%)

 Female

8682 (51.2%)

2324 (26.8%)

9053 (51.6%)

2777 (30.7%)

8332 (51.7%)

2604 (31.3%)

10,428 (52.8%)

3459 (33.2%)

\({\upchi }^{2}\)

 

22.0***

 

12.3***

 

15.7***

 

0.6

Marital status

 Married or Partnered

13,586 (80.1%)

3364 (24.8%)

14,206 (80.9%)

4097 (28.8%)

13,023 (80.9%)

3764 (28.9%)

16,800 (85.1%)

5285 (31.5%)

 Unmarried and Others

3383 (19.9%)

918 (27.1%)

3351 (19.1%)

1083 (32.3%)

3078 (19.1%)

1045 (34.0%)

2932 (14.9%)

1211 (41.3%)

\({\upchi }^{2}\)

 

8.1**

 

15.8***

 

30.3***

 

109.6***

Education

 Primary school and below

11,301 (66.6%)

2908 (25.7%)

11,615 (66.2%)

3554 (30.6%)

10,919 (67.9%)

3300 (30.2%)

12,923 (65.5%)

4413 (34.1%)

 Secondary school

5302 (31.3%)

1263 (23.8%)

5585 (31.8%)

1511 (27.1%)

4824 (30.0%)

1397 (29.0%)

6383 (32.3%)

1949 (30.5%)

 College and above

361 (2.1%)

108 (29.9%)

355 (2.0%)

114 (32.1%)

343 (2.1%)

113 (32.9%)

426 (2.2%)

134 (31.5%)

\({\upchi }^{2}\)

 

11.3**

 

24.0***

 

4.1

 

25.7***

Residence status

 Rural

9774 (57.6%)

2241 (22.9%)

10,065 (57.5%)

2777 (27.6%)

8424 (55.2%)

2418 (28.7%)

11,054 (58.1%)

3516 (31.8%)

 Urban

3814 (22.5%)

1250 (32.8%)

4060 (23.2%)

1445 (35.6%)

3656 (24.0%)

1231 (33.7%)

3966 (20.8%)

1491 (37.6%)

 Rural-to-urban

3369 (19.9%)

789 (23.4%)

3390 (19.4%)

944 (27.8%)

3185 (20.9%)

873 (27.4%)

4005 (21.1%)

1316 (32.9%)

\({\upchi }^{2}\)

 

148.3***

 

94.5***

 

39.6***

 

44.4***

Health insurance

 None

1119 (6.6%)

243 (21.7%)

681 (3.9%)

178 (26.1%)

1331 (8.6%)

390 (29.3%)

593 (3.0%)

169 (28.5%)

 UEBMI

1746 (10.3%)

587 (33.6%)

2034 (11.7%)

724 (35.6%)

1567 (10.1%)

527 (33.6%)

2549 (12.9%)

934 (36.6%)

 URRBMI

13,129 (77.7%)

3165 (24.1%)

13,825 (79.4%)

3939 (28.5%)

11,416 (73.5%)

3355 (29.4%)

15,277 (77.4%)

4965 (32.5%)

 Others

904 (5.3%)

270 (29.9%)

875 (5.0%)

287 (32.8%)

1228 (7.9%)

372 (30.3%)

1311 (6.6%)

426 (32.5%)

\({\upchi }^{2}\)

 

91.5***

 

51.4***

 

12.6**

 

22.6***

Socioeconomic group

 Quintile1 (lowest)

2855 (20.0%)

671 (23.5%)

2326 (20.0%)

669 (28.8%)

2183 (20.0%)

638 (29.2%)

3301 (19.7%)

1025 (31.1%)

 Quintile2

2855 (20.0%)

649 (22.7%)

2326 (20.0%)

663 (28.5%)

2182 (20.0%)

629 (28.8%)

3411 (20.4%)

1112 (32.6%)

 Quintile3

2855 (20.0%)

726 (25.4%)

2329 (20.0%)

633 (27.2%)

2182 (20.0%)

585 (26.8%)

3427 (20.5%)

1108 (32.3%)

 Quintile4

2854 (20.0%)

735 (25.8%)

2327 (20.0%)

690 (29.7%)

2182 (20.0%)

669 (30.7%)

3378 (20.2%)

1171 (34.7%)

 Quintile5 (highest)

2853 (20.0%)

820 (28.7%)

2322 (20.0%)

711 (30.6%)

2181 (20.0%)

647 (29.7%)

3224 (19.3%)

1098 (34.1%)

\({\upchi }^{2}\)

 

33.1***

 

7.5

 

8.5

 

12.5*

  1. *** p < 0.001
  2. ** p < 0.01
  3. *p < 0.05 significance test