Table 1.
Sociodemographic characteristics of the sample, N = 303.
| Gender | n | % | mean | SD |
|---|---|---|---|---|
| Male | 186 | 61.4 | ||
| Female | 113 | 37.3 | ||
| Non-binary | 4 | 1.3 | ||
| Age | 49.3 | 15.6 | ||
| Education (years) | 13.3 | 2.6 | ||
| Household income (per month) | ||||
| <1000€ | 46 | 15.5 | ||
| 1000-1999€ | 98 | 33.1 | ||
| 2000-2999€ | 84 | 28.4 | ||
| 3000-3999€ | 27 | 9.1 | ||
| 4000-4999€ | 25 | 8.4 | ||
| >5000€ | 16 | 5.3 | ||
| Change in household income due to COVID-19 | ||||
| Income reduction | 146 | 48.3 | ||
| No change | 145 | 48 | ||
| Income increase | 11 | 3.6 | ||
| Distress and isolation due to lockdown | ||||
| No/mildly distr | 28 | 9.2 | ||
| Moderately distr | 86 | 28.4 | ||
| Highly distr. | 189 | 62.5 | ||
| COVID-19 positives | 5 | 1.7 | ||
| Hospitalization of | ||||
| relatives | 43 | 14.1 | ||