Table A1.
Influence of demographic factors on COVID-19 vaccination intention among the total sample (n = 7259)
Characteristics | aOR | p-Value | 95%CI |
---|---|---|---|
Age | 0.994 | 0.021 | 0.989–0.999 |
Have NCD (yes vs. no) | 0.979 | 0.790 | 0.836–1.146 |
Health status | 1.004 | 0.097 | 0.999–1.009 |
Male (vs. female) | 1.014 | 0.834 | 0.893–1.150 |
Education (vs. primary school and below) | |||
Middle or high school | 1.341 | 0.002 | 1.118–1.609 |
Senior high school | 1.343 | 0.003 | 1.107–1.630 |
Associate/bachelor and above | 1.319 | 0.013 | 1.060–1.642 |
Married (vs. single/divorced/widowed) | 1.035 | 0.685 | 0.875–1.225 |
Employed (vs. unemployed) | 1.363 | <0.001 | 1.183–1.571 |
Annual household income in 2019 (vs. ≤ CNY 50,000) | |||
CNY 50,000–100,000 | 0.881 | 0.108 | 0.755–1.028 |
CNY 100,000–150,000 | 0.973 | 0.797 | 0.789–1.200 |
≥CNY 150,000 | 0.691 | 0.001 | 0.550–0.868 |
Urban (vs. rural) | 1.023 | 0.761 | 0.884–1.184 |
Province (vs. Jilin) | |||
Guangdong | 1.543 | <0.001 | 1.240–1.921 |
Zhejiang | 1.484 | 0.001 | 1.170–1.881 |
Hubei | 3.934 | <0.001 | 3.173–4.877 |
Gansu | 1.113 | 0.308 | 0.906–1.367 |
Chongqing | 3.545 | <0.001 | 2.748–4.574 |
Respondents who had vaccine hesitancy (reported “unsure” or “no” for the vaccination) as reference group.