Table 6.
Standardized coefficients from hierarchical regression models of COVID-19 health services disruptions
| Variables | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 |
|---|---|---|---|---|---|
| Demographic characteristics | |||||
| Age | .037 | .053 | .024 | .032 | .027 |
| Gender | .059 | .045 | .072 | .080 | .070 |
| Years education | −.091 | −.066 | −.035 | −.026 | −.003 |
| Exposure to information | |||||
| COVID-19 Knowledge | −.110* | −.114* | −.081 | −0.69 | |
| Phone Screen-time | .007 | .029 | .027 | .018 | |
| Perceived vulnerability | |||||
| Self-Concern about COVID-19 | .240** | .246** | .244** | ||
| Concern for others about COVID-19 | −.070 | −.073 | −.048 | ||
| General Medical Mistrust | |||||
| Medical Mistrust | .199** | .178** | |||
| Trust sources | |||||
| Government | .102 | ||||
| CDC | −.180** | ||||
| State Health Department | .011 | ||||
| Online / Social Media | .011 | ||||
|
F(3,449) = 2.32, p = .075 R2 = .015 |
F(5,447) = 2.40, p = .036 R2 = .026 R2 Δ = .011 |
F(7,445) = 4.09, p < .001 R2 = .060 R2 Δ = .034** |
F(8,444) = 6.08, p < .001 R2 = .099 R2 Δ = .039** |
F(12,440) =4.99, p < .001 R2 = .120 R2 Δ = .021* |
|
Note: R2 Δ = R2 change, * p < .05, ** p < .01