Table 9.
Association between perceptions of misinformation drivers and demographic characteristics.
| Drivers of misinformation | Gender, odds ratio (95% CI)a | Age groups, odds ratio (95% CI) | ||||
| Women | Men | 18-40 | 41-60 | ≥61 | ||
| Social media | Reference | 1.06 (0.88-1.27) | Reference | 0.73 (0.60-0.89) | 0.79 (0.60-1.04) | |
| International health authority | Reference | 1.45 (1.20-1.76) | Reference | 0.76 (0.61-0.93) | 0.48 (0.34-0.66) | |
| Federal health authority | Reference | 1.36 (1.11-1.65) | Reference | 0.65 (0.52-0.80) | 0.46 (0.33-0.63) | |
| Provincial health authority | Reference | 1.47 (1.20-1.79) | Reference | 0.58 (0.46-0.72) | 0.36 (0.26-0.52) | |
| News media | Reference | 1.46 (1.22-1.76) | Reference | 0.51 (0.41-0.62) | 0.42 (0.31-0.56) | |
| Academia | Reference | 1.86 (1.51-2.29) | Reference | 0.64 (0.50-0.81) | 0.54 (0.38-0.75) | |
| Other source | Reference | 1.68 (1.25-2.26) | Reference | 1.06 (0.77-1.47) | 1.21 (0.74-1.98) | |
aOdds ratio estimates with 95% CIs of the response of “agree/strongly agree” with statements in the left column for different levels of the demographic variables.