Table 3 Mixed-Effect Logistic Regression Analysis on the Influencing Factors of Residents’ attitudes to consent COVID-19 information has been disclosed timely during the low transmission period of the COVID-19
Variables | Coefficient | S.E. | P | Evidence Degrees | OR | 95% CI |
|---|---|---|---|---|---|---|
Gender (Ref: Female) | ||||||
 Male | 0.109 | 0.097 | 0.262 | Low | 1.115 | 0.922 ~ 1.350 |
Age group, y (Ref: 18–44) | ||||||
 45–59 | − 0.648 | 0.144 | < 0.001 | High | 0.523 | 0.394 ~ 0.694 |
  > 60 | −2.378 | 0.394 | < 0.001 |  | 0.093 | 0.043 ~ 0.201 |
Highest educational level (Ref: Primary school or below) | ||||||
 Middle school | −0.202 | 0.306 | 0.509 | Low | 0.817 | 0.448 ~ 1.489 |
 College degree or above | −0.403 | 0.266 | 0.129 | Low | 0.668 | 0.397 ~ 1.125 |
Place of residence (Ref: Rural) | ||||||
 Urban | −0.431 | 0.109 | < 0.001 | High | 0.650 | 0.525 ~ 0.804 |
Region (Ref: Eastern China) | ||||||
 Central China | −0.578 | 0.128 | < 0.001 | High | 0.561 | 0.437 ~ 0.720 |
 Western China | 0.132 | 0.147 | 0.370 | Low | 1.141 | 0.855 ~ 1.523 |
Employment status (Ref: Unemployed) | ||||||
 Employed | 0.232 | 0.134 | 0.083 | Low | 1.261 | 0.970 ~ 1.639 |
Have a chronic disease (diagnosed by a doctor) (Ref: No) | ||||||
 Yes | −0.084 | 0.103 | 0.414 | Low | 0.92 | 0.752 ~ 1.124 |
Marital status (Ref: Unmarried) | ||||||
 Married | 0.12 | 0.135 | 0.375 | Low | 1.128 | 0.865 ~ 1.471 |
The primary way to get information about the COVID-19 [Ref: Traditional Media (Television, Radio and Newspapers)] | ||||||
 Emerging media (Weibo, WeChat and Interent news) | 0.008 | 0.096 | 0.932 | Low | 1.008 | 0.835 ~ 1.217 |
COVID-19 have a large impact on your life (Ref: Strongly disagree) | ||||||
 Disagree | −0.164 | 0.117 | 0.162 | Low | 0.849 | 0.674 ~ 1.068 |
 Not sure | −0.125 | 0.133 | 0.347 | Low | 0.883 | 0.681 ~ 1.145 |
 Agree | −0.209 | 0.239 | 0.381 | Low | 0.811 | 0.508 ~ 1.296 |
 Strongly agree | −0.729 | 0.296 | 0.014 | High | 0.482 | 0.270 ~ 0.861 |