Table 1. Comparison of sample characteristics to population values, numbers per category except where noted.
| Sample | Population | Comparison | |||||
|---|---|---|---|---|---|---|---|
| mean / N | sd / % | mean / N | sd / % | Chi-square / t | p | ||
| sex | 456.348 | <0.001 | |||||
| female | 1008 | (79.4) | 42,052,500 | (50.7) | |||
| male | 238 | (18.8) | 40,966,700 | (49.3) | |||
| age | 42.1 | (13.3) | 44.4 | N/A | -6.099 | <0.001 | |
| education status | 1631.960 | <0.001 | |||||
| lowest secondary school | 19 | (1.5) | N/A1 | (29.6) | |||
| inter-mediate secondary school | 144 | (11.3) | N/A1 | (29.9) | |||
| highest secondary school (including university degree and PhD) | 1083 | (85.3) | N/A1 | (32.5) | |||
| other | 23 | (1.8) | N/A1 | (7.8) | |||
| relationship status | 141.151 | <0.001 | |||||
| unmarried | 692 | (55.4) | 34,661,000 | (41.9) | |||
| married | 433 | (34.1) | 35,351,000 | (42.7) | |||
| separated | 44 | (3.5) | 1,725,000 | (2.1) | |||
| divorced | 61 | (4.8) | 5,727,000 | (6.9) | |||
| widowed | 18 | (1.4) | 5,321,000 | (6.4) | |||
| working in the health sector | 35.598 | <0.001 | |||||
| yes | 193 | (16.2) | 3,657,135 | (10.8) | |||
| no | 1001 | (83.8) | 30,134,730 | (89.2) | |||
| number of children at home | 35.224 | <0.001 | |||||
| none | 853 | (67.3) | N/A1 | (72.1) | |||
| one | 182 | (14.4) | N/A1 | (14.2) | |||
| two | 192 | (15.2) | N/A1 | (10.2) | |||
| three or more | 40 | (3.2) | N/A1 | (3.5) | |||
| housing space (in m2) | 93.4 | (48.8) | 94.1 | N/A | -0.547 | 0.585 | |
| COVID-19 status | 5.078 | 0.024 | |||||
| without COVID-19 diagnosis | 1217 | (97.5) | 80,081,589 | (96.3) | |||
| with COVID-19 diagnosis | 31 | (2.5) | 3,073,442 | (3.7) | |||
1 Absolute numbers for the population were not available, but percentage data was. Chi-square tests were done by comparing the actual number of participants per category in the sample with the expected number of participants given the population percentages. Categories are not raw data, but have been modified in order to match the categories for which population data was available. This means that some categories were dropped for this comparison (such as the diverse category for gender) while others have been recoded (such as the highest secondary school category, which here includes also the university degree and PhD entries that had their own categories in the raw data). More detail is available in supplement D.