Table 2 Univariate analysis of the differences in attitudes to consent COVID-19 information has been disclosed timely among the included residents stratified by geographic characteristics
Variables | Eastern China | Central China | Western China | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
N (%) | χ2 | P | Evidence Degrees | N (%) | χ2 | P | Evidence Degrees | N (%) | χ2 | P | Evidence Degrees | |
Total | 421 (100) | NA | NA | NA | 1470 (100) | NA | NA | NA | 470 (100) | NA | NA | NA |
Consent COVID-19 information has been released timely. | ||||||||||||
 Yes | 277 (65.80) | NA | NA | NA | 1124 (76.46) | NA | NA | NA | 303 (64.47) | NA | NA | NA |
 No | 144 (34.20) | 346 (23.54) | 167 (35.53) | |||||||||
Gender | ||||||||||||
 Male | 181 (42.99) | 5.126 | 0.024 | High | 558 (37.96) | 3.937 | 0.047 | High | 203 (43.19) | 0.048 | 0.826 | Low |
 Female | 240 (57.01) | 912 (62.04) | 267 (56.81) | |||||||||
Age group, y | ||||||||||||
 18–44 | 323 (76.72) | 18.673 | < 0.001 | High | 1175 (79.93) | 18.164 | < 0.001 | High | 347 (73.83) | 44.103 | < 0.001 | High |
 45–59 | 61 (14.49) | 232 (15.78) | 76 (16.17) | |||||||||
  > 60 | 37 (8.79) | 63 (4.29) | 47 (10.00) | |||||||||
Highest educational level | ||||||||||||
 Primary school or below | 17 (4.04) | 1.302 | 0.522 | Low | 27 (1.84) | 8.786 | 0.012 | High | 24 (5.11) | 2.555 | 0.279 | Low |
 Middle school | 24 (5.70) | 123 (8.37) | 39 (8.30) | |||||||||
 College degree or above | 380 (90.26) | 1320 (89.80) | 407 (86.60) | |||||||||
Place of residence | ||||||||||||
 Urban | 288 (64.41) | 8.912 | 0.003 | High | 754 (51.29) | 15.953 | < 0.001 | High | 330 (70.21) | 3.396 | 0.065 | Low |
 Rural | 133 (31.59) | 716 (48.71) | 140 (29.79) | |||||||||
Employment status | ||||||||||||
 Employed | 270 (64.13) | 0.006 | 0.940 | Low | 508 (34.56) | 3.078 | 0.079 | Low | 236 (50.21) | 38.391 | < 0.001 | High |
 Unemployed | 151 (35.87) | 962 (65.44) | 234 (49.79) | |||||||||
Have a chronic disease (diagnosed by a doctor) | ||||||||||||
 Yes | 286 (67.93) | 3.773 | 0.052 | Low | 985 (67.01) | 0.012 | 0.912 | Low | 350 (74.47) | 0.647 | 0.421 | Low |
 No | 135 (32.07) | 485 (32.99) | 120 (25.53) | |||||||||
Marital status | ||||||||||||
 Unmarried | 222 (52.73) | 1.491 | 0.222 | Low | 1061 (72.18) | 4.981 | 0.026 | High | 277 (58.94) | 24.806 | < 0.001 | High |
 Married | 199 (47.27) | 409 (27.82) | 193 (41.06) | |||||||||
The primary way to get information about the COVID-19 | ||||||||||||
 Traditional Media (Television, Radio and Newspapers) | 238 (56.53) | 0.249 | 0.618 | High | 850 (57.82) | 0.377 | 0.539 | High | 273 (58.09) | 0.153 | 0.696 | High |
 Emerging media (Weibo, WeChat and Interent news) | 183 (43.47) | 620 (42.18) | 197 (41.91) | |||||||||
COVID-19 have a large impact on your life | ||||||||||||
 Strongly disagree | 103 (24.47) | 7.361 | 0.118 | Low | 395 (26.87) | 2.569 | 0.632 | Low | 122 (25.96) | 9.503 | 0.050 | High |
 Disagree | 181 (42.99) | 596 (40.54) | 187 (39.79) | |||||||||
 Not sure | 105 (24.94) | 342 (23.27) | 155 (24.47) | |||||||||
 Agree | 16 (3.80) | 82 (5.58) | 26 (5.53) | |||||||||
 Strongly agree | 16 (3.80) | 55 (3.74) | 20 (4.26) | |||||||||