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Table 1 Characteristics of observations in the cases (i.e., living alone with cognitive impairment) and the comparators (original and matched, i.e., living with others and with normal cognition) in CHARLS 2011–2018

From: Catastrophic health expenditure among Chinese adults living alone with cognitive impairment: findings from the CHARLS

 

Before Propensity Score Matching

After Propensity Score Matching

 

Case

(n = 909)

Original comparators

(n = 37,432)

P value

SMD

Case

(n = 573)

Matched comparators

(n = 900)

P value

SMD

Covariates

 Wave

  

< 0.001

0.442

  

0.942

0.033

  1

189 (20.8)

9932 (26.5)

  

166 (29.0)

259 (28.8)

  

  2

128 (14.1)

8503 (22.7)

  

102 (17.8)

151 (16.8)

  

  4

159 (17.5)

8857 (23.7)

  

106 (18.5)

175 (19.4)

  

  5

433 (47.6)

10,140 (27.1)

  

199 (34.7)

315 (35.0)

  

Age, years

71.9 ± 9.5

58.1 ± 8.6

< 0.001

1.524

69.5 ± 9.6

67.8 ± 9.5

< 0.001

0.180

Middle-aged adults (45–59, years)

93 (10.2)

22,004 (58.8)

< 0.001

1.188

85 (14.8)

182 (20.2)

0.011

0.142

Older adults (≥ 60, years)

816 (89.8)

15,428 (41.2)

  

488 (85.2)

718 (79.8)

  

 Sex

  

< 0.001

0.445

  

0.867

0.012

  Female

623 (68.5)

17,632 (47.1)

  

370 (64.6)

576 (64.0)

  

  Male

286 (31.5)

19,800 (52.9)

  

203 (35.4)

324 (36.0)

  

 Marital status

  

< 0.001

4.177

  

0.264

0.066

  Currently married

39 (4.3)

35,365 (94.5)

  

39 (6.8)

77 (8.6)

  

  Others

870 (95.7)

2067 (5.5)

  

534 (93.2)

823 (91.4)

  

 Residence areas

  

< 0.001

0.469

  

0.103

0.091

  Rural

744 (81.8)

22,932 (61.3)

  

433 (75.6)

644 (71.6)

  

  Others

165 (18.2)

14,500 (38.7)

  

140 (24.4)

256 (28.4)

  

 Alcohol consumption

  

< 0.001

0.253

  

0.737

0.021

  Non-drinker

615 (67.7)

20,751 (55.4)

  

368 (64.2)

587 (65.2)

  

  Drinker

294 (32.3)

16,681 (44.6)

  

205 (35.8)

313 (34.8)

  

 Smoking status

  

< 0.001

0.182

  

0.836

0.032

  Non-smoker

580 (63.8)

20,560 (54.9)

  

361 (63.0)

562 (62.4)

  

  Ever smoker

133 (14.6)

6584 (17.6)

  

79 (13.8)

118 (13.1)

  

  Current smoker

196 (21.6)

10,288 (27.5)

  

133 (23.2)

220 (24.4)

  

 Education

  

< 0.001

1.378

  

0.003

0.162

  No schooling

640 (70.4)

5366 (14.3)

  

320 (55.8)

430 (47.8)

  

  Primary school or more

269 (29.6)

32,066 (85.7)

  

253 (44.2)

470 (52.2)

  

 Disease counts

1.8 ± 1.5

1.5 ± 1.4

< 0.001

0.206

1.7 ± 1.5

1.6 ± 1.5

0.262

0.067

  0

195 (21.5)

10,313 (27.6)

< 0.001

0.213

134 (23.4)

205 (22.8)

0.077

0.139

  1

269 (29.6)

11,248 (30.0)

  

171 (29.8)

299 (33.2)

  

  2

181 (19.9)

8129 (21.7)

  

108 (18.8)

194 (21.6)

  

   ≥ 3

264 (29.0)

7742 (20.7)

  

160 (27.9)

202 (22.4)

  

Outcomes

 Catastrophic health expenditure

  

0.229

  

< 0.001

  Yes

179 (19.7)

6768 (18.1)

  

112 (19.5)

106 (11.8)

  

  No

730 (80.3)

30,664 (81.9)

  

461 (80.5)

794 (88.2)

  
  1. CHARLS China Health and Retirement Longitudinal Study; SMD standardized mean difference
  2. “Others” for marital status included “separated”, “divorced”, “widowed” and “never married”
  3. “Others” for residence areas included “city/town”, “combination zone between urban and rural areas”, and “special area”
  4. Mann-Whitney U test was used for two continuous variables (age and disease counts). Chi-square test was used for the rest of the variables. All the tests were used to present the differences between the cases and the matched comparators with P value showing the significance
  5. Data is shown as mean ± standard deviation or numbers (percentages)
  6. Percentages may not add up to 100 because of rounding