Table 5. Linear regression analysis for subjective increase in burden for the total sample.
| Independent Variables | Model 3: Increase in Burden (F(12, 4311) = 15.025, p < .001, adjusted R² = .037) | ||||||
|---|---|---|---|---|---|---|---|
| R² | Δ R² | B (95% CI) | SE | β | t | p | |
| Step 1: Control Variables | .016 | .016 | |||||
| Gendera | .113 [.028, .197] | .043 | .040 | 2.623 | .009 | ||
| Ageb | |||||||
| 31–40 | -.077 [-.208, .053] | .067 | -.027 | -1.160 | .246 | ||
| 41–50 | .156 [.015, .297] | .072 | .052 | 2.165 | .030 | ||
| 51–60 | .146 [.007, .285] | .071 | .053 | 2.066 | .039 | ||
| >60 | .290 [.107, .472] | .093 | .062 | 3.111 | .002 | ||
| Professional experiencec | |||||||
| 3–6 years | .122 [-.053, .297] | .089 | .030 | 1.371 | .171 | ||
| >6 years | .314 [.151, .477] | .083 | .115 | 3.783 | < .001 | ||
| unknown | .278 [.091, .464] | .095 | .071 | 2.920 | .004 | ||
| Contact with SARS-CoV-2d | .052 [-.024, .128] | .039 | .020 | 1.348 | .178 | ||
| Step 2: Resources | .040 | .024 | |||||
| Sense of Coherence | -.055 [-.066, -.044] | .006 | -.166 | -9.945 | < .001 | ||
| Social Support | .011 [.001, .022] | .005 | .037 | 2.221 | .026 | ||
| Religiosity | .050 [.015, .0.85] | .018 | .043 | 2.819 | .005 | ||
Notes. N = 4324. Δ R² = Change in R². SE = Standard Error.
a Reference group = male.
b Reference group = Age 18–30.
c Reference group = Professional experience <3 years.
d Having contact with either COVID-19 infected patients or contaminated material; Reference group = no.