Table 4.
Regression analysis predicting excessive avoidance from demographic, health-related, and belief variables.
| Predictor | Tolerance | Beta | f2 |
| Age | .72 | −0.12*** | .01 |
| Female sex | .89 | 0.08*** | .01 |
| United States (vs. Canadian) resident | .95 | −0.10*** | .01 |
| Asian ancestry | .96 | −0.03** | .00 |
| Unemployed | .94 | −0.02 | .00 |
| College education | .95 | 0.05*** | .00 |
| Occupational risk of exposure to COVID-19 | .97 | −0.05*** | .00 |
| Beliefs about the dangers of COVID-19 | .91 | 0.37*** | .16b |
| Belief that COVID-19 threat is exaggerated | .69 | −0.13*** | .01 |
| Belief in robust personal health | .66 | −0.06*** | .00 |
| Pre-existing general medical condition | .81 | 0.00 | .00 |
| Pre-existing mental health condition | .87 | 0.04*** | .00 |
Note: a = small effect, b = medium effect, c = large effect.
*p < .01, **p < .005, *** p < .001.