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Table 2 Social demographic characteristics of the respondents

From: Inequity in the healthcare utilization among latent classes of elderly people with chronic diseases and decomposition analysis in China

Variables

All

N = 7565

Latent class

P

Musculoskeletal system group

Hypertension group

Respiratory system group

Digestive system group

Cardiovascular system group

N = 1506

N = 784

N = 977

N = 937

N = 3361

Dependent variables

 Frequency of one-month outpatient visit, mean (SD)

0.423 (0.017)

0.463 (0.036)

0.668 (0.057)

0.419 (0.046)

0.279 (0.029)

0.390 (0.029)

 < 0.05

 Frequency of one-year inpatient visit, mean (SD)

0.414 (0.012)

0.344 (0.027)

0.804 (0.048)

0.536 (0.034)

0.202 (0.022)

0.378 (0.018)

 < 0.05

Health need factors

Age

      

 < 0.05

 60 − 69

4467 (59.0%)

949 (63.0%)

449 (57.3%)

525 (53.7%)

582 (62.1%)

1962 (58.4%)

 

 70 − 79

2408 (31.8%)

454 (30.1%)

266 (33.9%)

335 (34.3%)

274 (29.2%)

1079 (32.1%)

 

  ≥ 80

69 0 (9.2%)

103 (6.8%)

69 (8.8%)

117 (12.0%)

81 (8.6%)

320 (9.5%)

 

Gender

      

 < 0.05

 Male

3629 (48.0%)

682 (45.3%)

327 (41.7%)

573 (58.6%)

405 (43.2%)

1642 (48.9%)

 

 Female

3936 (52.0%)

824 (54.7%)

457 (58.3%)

404 (41.4%)

532 (56.8%)

1719 (51.1%)

 

SRH

      

 < 0.05

 Very good

535 (7.1%)

91 (6.0%)

17 (2.2%)

50 (5.1%)

89 (9.5%)

288 (8.6%)

 

 Good

717 (9.5%)

139 (9.2%)

26 (3.3%)

83 (8.5%)

116 (12.4%)

353 (10.5%)

 

 Fair

3571 (47.2%)

751 (49.9%)

261 (33.3%)

426 (43.6%)

475 (50.7%)

1658 (49.3%)

 

 Poor

2092 (27.7%)

409 (27.2%)

328 (41.8%)

318 (32.5%)

191 (20.4%)

846 (25.2%)

 

 Very poor

650 (8.6%)

116 (7.7%)

152 (19.4%)

100 (10.2%)

66 (7.0%)

216 (6.4%)

 

Socioeconomic factors

Education

      

 < 0.05

 Junior high school or below

6883 (91.0%)

1380 (91.6%)

715 (91.2%)

922 (94.4%)

897 (95.7%)

2969 (88.3%)

 

 Senior high school or above

682 (9.0%)

126 (8.4%)

69 (8.8%)

55 (5.6%)

40 (4.3%)

392 (11.6%)

 

 Marital status

      

 < 0.05

 Partnered

5781 (76.4%)

1163 (77.2%)

576 (73.5%)

722 (73.9%)

698 (74.5%)

2622 (78.0%)

 

 Single

1784 (23.6%)

343 (22.8%)

208 (26.5%)

255 (26.1%)

239 (25.5%)

739 (22.0%)

 

Number of children

      

 < 0.05

  ≤ 2

3168 (41.9%)

650 (43.2%)

302 (38.5%)

363 (37.2%)

349 (37.2%)

1504 (44.7%)

 

  ≥ 3

4397 (58.1%)

856 (56.8%)

482 (61.5%)

614 (62.8%)

588 (62.8%)

1857 (55.3%)

 

Residence

      

 < 0.05

 Rural

4677 (61.8%)

1004 (66.7%)

483 (61.6%)

669 (68.5%)

650 (69.4%)

1871 (55.7%)

 

 Urban

2888 (38.2%)

502 (33.3%)

301 (38.4%)

308 (31.5%)

287 (30.6%)

1490 (44.3%)

 

Insurance coverage

      

 < 0.05

 UEBMI

1111 (14.7%)

173 (11.5%)

124 (15.8%)

97 (9.9%)

76 (8.1%)

641 (19.1%)

 

 URRBMI/URBMI/NRCMS

6035 (79.8%)

1249 (82.9%)

621 (79.2%)

834 (85.4%)

804 (85.8%)

2527 (75.2%)

 

 Others

419 (5.5%)

84 (5.6%)

39 (5.0%)

46 (4.7%)

57 (6.1%)

193 (5.7%)

 

Per capita household outcome

      

 < 0.05

 Lowest

1513 (20.0%)

300 (19.9%)

120 (15.3%)

223 (22.8%)

252 (26.9%)

618 (18.4%)

 

 Second

1513 (20.0%)

301 (20.0*)

132 (16.8%)

206 (21.1%)

208 (22.2%)

666 (19.8%)

 

 Third

1513 (20.0%)

321 (21.3%)

171 (21.8%)

185 (18.9%)

172 (18.4%)

664 (19.8%)

 

 Fourth

1513 (20.0%)

297 (19.7%)

177 (22.6%)

175 (17.9%)

164 (17.5%)

700 (20.8%)

 

 Highest

1513 (20.0%)

287 (19.1%)

184 (23.5%)

188 (19.2%)

141 (15.0%)

713 (21.2%)

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