Table 3.
Regression analysis predicting distress during self-isolation from demographic, health-related, and belief variables.
| Predictor | Tolerance | Beta | f2 |
| Age | .67 | −0.25*** | .07a |
| Female sex | .86 | −0.01 | .00 |
| United States (vs. Canadian) resident | .93 | −0.02 | .00 |
| Asian ancestry | .96 | −0.02 | .00 |
| Unemployed | .94 | 0.00 | .00 |
| College education | .96 | 0.01 | .00 |
| Occupational risk of exposure to COVID-19 | .97 | 0.02 | .00 |
| Beliefs about the dangers of COVID-19 | .92 | 0.44*** | .29c |
| Belief that COVID-19 threat is exaggerated | .68 | 0.07*** | .00 |
| Belief in robust personal health | .66 | 0.03 | .00 |
| Pre-existing general medical condition | .79 | 0.04 | .00 |
| Pre-existing mental health condition | .85 | 0.15*** | .03a |
Note. a = small effect, b = medium effect, c = large effect.
*p < .01, **p < .005, ***p < .001.