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Table 1 Socio-demographic characteristics

From: Stronger association of perceived health with socio-economic inequality during COVID-19 pandemic than pre-pandemic era

 

2018 (N = 1200)

2021 (N = 1000)

Wald Fc

2018

2021

Walf Fc Adjusted for Propensity scored

years

mean (SD)

years

mean (SD)

p-value

   

Age (yrs)

 

46.97

14.18

47.96

14.66

0.27

   

N

%

N

%

p-value

%a

%b

p-value

Sex

Male

592

49.33

503

50.3

0.65

49.4

49.36

0.9786

Female

608

50.67

497

49.7

 

50.6

50.64

 

Age (yrs)

20–29

194

16.17

166

16.60

< 0.001

16.02

16.01

0.9781

30–39

212

17.67

166

16.60

 

17.1

17.28

 

40–49

249

20.75

205

20.50

 

20.34

20.36

 

50–59

239

19.92

209

20.90

 

20.3

20.48

 

60–69

269

22.42

164

16.40

 

19.73

20

 

≥70

37

3.08

90

9.00

 

6.51

5.88

 

Educational level

College graduate

539

44.92

541

54.10

< 0.001

49.27

49.26

0.9623

Highschool graduate

537

44.75

361

36.10

 

40.54

40.79

 

Middle school or less

124

10.33

98

9.80

 

10.19

9.96

 

Monthly household income

≥5000

249

20.75

276

27.60

< 0.001

24.19

23.84

0.9944

4000-5000

300

25.00

275

27.50

 

26.05

26.11

 

3000-4000

344

28.67

228

22.80

 

25.99

26.09

 

< 3.000

307

25.58

221

22.10

 

23.77

23.96

 

Marital Status

Not married

884

73.67

714

71.40

0.2

72.12

72.49

0.7856

Married

316

26.33

286

28.60

 

27.88

27.51

 

Residence

Urban

543

45.25

460

46.00

0.7

44.83

45.08

0.8659

Rural/suburban

657

54.75

540

54.00

 

55.17

54.92

 

Religion

Having religion

491

40.92

360

36.00

0.02

38.62

38.49

 

No religion

709

59.08

640

64.00

 

61.37

61.51

 

Employment status

Occupied

840

70.00

747

74.70

0.01

72.2

62.2

0.9978

Non-occupied

360

30.00

253

25.30

 

27.8

27.8

 
  1. aPercentage weighted to reflect all eligible participants. Before COVID group sample size = 1200, weighted = 2273.80
  2. bAfter COVID group sample size = 1000, weighted = 2192.88
  3. cF statistics based on Wald Chi-square test statistics
  4. dPropensity score summarize difference in observable characteristics between before COVID group and after COVID group (i.e., age, sex, marital status, educational level, monthly household income, residential area, religion, and employment status etc.)