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. 2020 Mar 15;16(10):1745–1752. doi: 10.7150/ijbs.45221

Table 5.

Results of multiple binary logistic regression analysis on factors significantly associated with attitudes towards COVID-19

Variable OR (95%CI) P
A1: disagree with final success (vs. agree)
Marital status (others* vs. married) 2.00 (1.01, 3.96) 0.046
COVID-19 knowledge score 0.82 (0.77, 0.88) <0.001
A1: unknown about final success (vs. agree)
Gender (female vs. male) 1.50 (1.21, 1.85) <0.001
Age-group (16-29 vs. 50+ years) 1.76 (1.13, 2.75) 0.013
Age-group (30-49 vs. 50+ years) 1.54 (1.01, 2.37) 0.048
Education (master's degree and above vs. middle school and below) 2.23 (1.54, 3.23) <0.001
Education (bachelor's degree vs. middle school and below) 2.00 (1.45, 2.78) <0.001
Education (associate's degree vs. middle school and below) 1.61 (1.13, 2.28) 0.008
Occupation (unemployment vs. mental labor) 1.86 (1.30, 2.65) 0.001
Occupation (students vs. mental labor) 0.73 (0.53, 0.99) 0.043
Residence place (Hubei vs. other parts of China) 1.40 (1.15, 1.70) 0.001
COVID-19 knowledge score 0.81 (0.77, 0.85) <0.001
A2: no confidence of winning
Education (master's degree and above vs. middle school and below) 4.98 (2.64, 9.40) <0.001
Education (bachelor's degree vs. middle school and below) 5.04 (2.82, 9.03) <0.001
Education (associate's degree vs. middle school and below) 3.13 (1.66, 5.90) <0.001
COVID-19 knowledge score 0.75 (0.70, 0.80) <0.001

*“Others” included re-married, co-habiting, separated, divorced, and widowed.