Table 2.
Characteristics of the proxies
| Toal (N = 325) |
Baseline (N = 157) |
Intervention (N = 168) |
p | ||
|---|---|---|---|---|---|
| Demographics | |||||
| Gender, male (n, %) | 159(48.9) | 72(45.9) | 87(51.8) | 0.286 | |
| Age, median (IQR) |
49.0 (40.0, 57.0) |
49.0 (40.0,57.8) |
49.0 (42.0,57.0) |
0.880 | |
| Education (n, %) | 0.732 | ||||
| Junior high school | 32(9.8) | 14(8.9) | 18(10.7) | ||
| High school | 71(21.8) | 32(20.4) | 39(23.2) | ||
| University | 180(55.4) | 92(58.6) | 88(52.4) | ||
| Master or doctor’s degree | 42(12.9) | 19(21.1) | 23(13.7) | ||
| Occupation (n, %) | 0.192 | ||||
| Experts, technicians, and related workers | 87(26.8) | 40(25.5) | 47(28.0) | ||
| Government officials and business operations of enterprises and institutions | 33(10.2) | 20(12.7) | 13(7.7) | ||
| Affairs workers and related workers | 31(9.5) | 12(7.6) | 19(11.3) | ||
| Business and service industry workers | 69(21.2) | 38(24.2) | 31(18.5) | ||
| Agriculture, animal husbandry, forestry workers and fishermen, hunters | 5(1.5) | 1(0.6) | 4(2.4) | ||
| Production and related workers, transportation equipment operators and laborers | 18(5.5) | 9(5.7) | 9(5.4) | ||
| others | 82(25.2) | 37(23.6) | 45(26.8) | ||
| Income# (n, %) | 0.553 | ||||
| < 5000 | 85(26.2) | 44(28.0) | 41(24.4) | ||
| 5000 ~ 10,000 | 118(36.3) | 56(35.7) | 62(36.9) | ||
| 10,000 ~ 15,000 | 60(18.5) | 27(17.2) | 33(19.6) | ||
| 15,000 ~ 20,000 | 31(9.5) | 18(11.5) | 13(7.7) | ||
| > 20,000 | 31(9.5) | 12(7.6) | 19(11.3) |
#: RMB per month