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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

From: Timeliness of information disclosure during the low transmission period of COVID-19: resident-level observational study in China

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