Skip to main content

Table 4 Characteristics of subpopulations with different extent of ageing-dependent health burden in the older Chinese adults

From: Could an optimally fitted categorization of difference between multi-disease score and multi-symptom score be a practical indicator aiding in improving the cost-effectiveness of healthcare delivery for older adults in developing countries?

Variables

All

Subpopulations with different health decline (Percentage distribution)

 < -1.34 (least decline) n = 2,694

-1.34 to -1.03 (moderate decline) n = 2,702

 > -1.03 (largest decline) n = 2,697

N

Statistics (p value)

Age

8,093

1008.05 (p < 0.001)

 60–69

3,348 (41.37%)

1,597 (59.28%)

1,122 (41.52%)

629 (23.32%)

 70–79

3,185 (39.35%)

879 (32.63%)

1,177 (43.56%)

1,129 (41.86%)

  ≥ 80

1,560 (19.28%)

218 (8.09%)

403 (14.91%)

939 (34.82%)

Sex

8,093

3.53 (p = 0.17)

 Female

3,786 (46.78%)

1,222 (45.36%)

1,274 (47.15%)

1,290 (47.83%)

 Male

4,307 (53.22%)

1,472 (54.64%)

1,428 (52.85%)

1,407 (52.17%)

Residency

8,093

262.78 (p < 0.001)

 Urban

6,265 (77.62%)

2,132 (79.37%)

2,102 (77.94%)

2,031 (75.56%)

 Rural

1,806 (22.38%)

554 (20.63%)

595 (22.06%)

657 (24.44%)

Source/setting

8,071

11.50 (p = 0.003)

 Community

3,885 (48.00%)

1,579 (58.61%)

1,319 (48.82%)

987 (36.60%)

 Hospital

4,208 (52.00%)

1,115 (41.39%)

1,383 (51.18%)

1,710 (63.40%)

Educational attainment (Years)

7,924

228.61 (p < 0.001)

  ≤ 5

2,138 (26.98%)

467 (17.91%)

702 (26.50%)

969 (36.32%)

 6–9

1,596 (20.14%)

573 (21.98%)

539 (20.35%)

484 (18.14%)

  ≥ 9

4,190 (52.88%)

1,567 (60.11%)

1,408 (53.15%)

1,215 (45.54%)

Personal Income (Quartile)

6,872

112.58 (p < 0.001)

 Lowest

1,721 (25.04%)

513 (19.80%)

597 (26.84%)

611 (29.70%)

 Second

1,712 (24.91%)

611 (23.58%)

592 (26.62%)

509 (24.74%)

 Third

1,712 (24.91%)

756 (29.18%)

553 (24.87%)

403 (19.59%)

 Highest

1,727 (25.13%)

711 (27.44%)

482 (21.67%)

534 (25.96%)