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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