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Table 1 Summary statistics and description of independent variables before and after coarsened exact matching

From: Comparison of inequity in health-related quality of life among unemployed and employed individuals in China

Variables

Description of variables

 

Before matching

 

After matching

Obs.

Employed

Unemployed

p-value

Obs.

Employed

Unemployed

p-value

N

 

10,622

10,337

285

 

7857

7574

283

 

Gender

 

10,622

   

7857

   

 Malea

  

5472 (52.94)

134 (47.02)

0.048

 

3563 (47.35)

134 (47.35)

1.000

 Female

Female = 1, male = 0

 

4865 (47.06)

151 (52.98)

  

3961 (52.65)

149 (52.65)

 

Age (years)

 

10,622

   

7857

   

 15–29a

  

2055 (19.27)

27 (9.47)

< 0.001

 

718 (9.54)

27 (9.54)

1.000

 30–44

30–44 = 1, other = 0

 

3974 (38.44)

102 (35.79)

  

2712 (36.04)

102 (36.04)

 

 > 45

> 45 = 1, other = 0

 

4308 (41.68)

156 (54.74)

  

4094 (54.42)

154 (54.42)

 

Marital status

 

10,622

   

7857

   

 Single a

  

1065 (10.30)

15 (5.26)

< 0.001

 

399 (5.30)

15 (5.30)

1.000

 Marriage

Marriage = 1, other = 0

 

8984 (86.91)

247 (86.67)

  

6567 (87.28)

247 (87.28)

 

 Widowed and divorced

Widowed and divorced = 1, other = 0

 

288 (2.79)

23 (8.07)

  

558 (7.42)

21 (7.42)

 

Education status

 

10,622

   

7857

   

 Elementary school and below a

  

2028 (19.62)

20 (7.02)

< 0.001

 

532 (7.07)

20 (7.07)

1.000

 Middle school

Middle school = 1, other = 0

 

4600 (44.50)

116 (40.70)

  

3084 (40.99)

116 (40.99)

 

 Senior high school

Senior high school = 1, other = 0

 

2143 (20.73)

126 (44.21)

  

3323 (44.17)

125 (44.17)

 

 College degree and above

College degree and above = 1, other = 0

 

1566 (15.15)

23 (8.07)

  

585 (7.77)

22 (7.77)

 

Health insurance

 

10,622

   

7857

   

 No a

  

227 (2.20)

11 (3.86)

< 0.001

 

143 (1.89)

11 (3.89)

< 0.001

 Basic medical insurance

Basic medical insurance = 1, other = 0

 

7382 (71.43)

158 (55.44)

  

5504 (72.67)

158 (55.83)

 

 Commercial insurance and other insurance

Commercial insurance and other insurance = 1, other = 0

 

2726 (26.38)

116 (40.70)

  

1927 (25.44)

114 (40.28)

 

Smoking status b

 

10,610

   

7848

   

 No smoking a

  

6801 (65.86)

189 (66.78)

0.262

 

5030 (65.68)

187 (66.55)

0.286

 Non-daily smoking

Non-daily smoking = 1, other = 0

 

464 (4.49)

7 (2.47)

  

330 (4.28)

7 (2.49)

 

 Daily smoking

Daily smoking = 1, other = 0

 

3062 (29.65)

87 (30.74)

  

2207 (30.04)

87 (30.96)

 

Drinking alcohol b

 

10,444

   

7717

   

 No a

  

7659 (75.35)

213 (76.34)

0.703

 

5718 (76.85)

211 (76.17)

0.792

 Yes

Yes = 1, No = 0

 

2506 (24.65)

66 (23.66)

  

1722 (23.15)

66 (23.83)

 

Economic status (Yuan) b

 

10,322

   

7857

   

 Lowest group a

  

2047 (19.83)

74 (25.96)

< 0.001

 

1954 (25.80)

73 (25.80)

0.998

 Lower group

Lower group = 1, other = 0

 

2064 (20.00)

58 (20.35)

  

1526 (20.14)

57 (20.14)

 

 Medium group

Medium group = 1, other = 0

 

2056 (19.92)

65 (22.81)

  

1740(22.97)

65 (22.97)

 

 Higher group

Higher group = 1, other = 0

 

2074 (20.09)

48 (16.84)

  

1284 (16.96)

48 (16.96)

 

 Highest group

Highest group = 1, other = 0

 

2081 (20.16)

40 (14.04)

  

1070 (14.13)

40 (14.13)

 
  1. N (%) and chi-square test were performed for categorical variables and binary variables
  2. aReference group in the Tobit regression
  3. bThere were missing values. Before the matching, there were 12 missing values for smoking status, 178 missing values for drinking alcohol and 300 missing values for economic status. After the matching, there were 9 missing values for smoking status and 140 missing values for drinking alcohol