Table 3.
Logistic regression models examining the effects of COVID-19 misinformation beliefs on frequent mask wearing outside the home
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| Misinformation beliefs (Ref. = completely agree or agree) | COVID engineered | COVID is like a common cold | The 5G network spreads COVID | Eating garlic prevents COVID |
| Neither agree or disagree | 0.24** | 0.26* | 0.56 | 0.67 |
| (0.08–0.70) | (0.09–0.78) | (0.16–1.97) | (0.21–2.09) | |
| Disagree or completely disagree | 0.18** | 0.20** | 0.10*** | 0.14*** |
| (0.06–0.53) | (0.08–0.55) | (0.04–0.26) | (0.05–0.38) | |
| Observations | 518 | 518 | 518 | 518 |
| Pseudo R2 | 0.09 | 0.08 | 0.12 | 0.11 |
All models control for age, ethnicity, educational level, profession, whether participants had chronic diseases, and whether they had flulike symptoms in the past 6 months. Odds ratios are reported. Confidence intervals are in parentheses.
*** P < 0.001; ** P < 0.01; * P < 0.05 (two-tailed tests).