Table 6. Employment status and impact of illness on work.
| Full sample | Tested positive | Tested negative/not tested | p-valuea* | ||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| Total n | 2550 | 675 | 1793 | ||||
| Employment status at time of survey completion (n = 2507) | |||||||
| Working full-time | 919 | 36.7 | 306 | 45.3 | 606 | 33.8 | <0.001 |
| Working part-time | 340 | 13.6 | 72 | 10.7 | 265 | 14.8 | |
| Furloughed | 58 | 2.3 | 9 | 1.3 | 47 | 2.6 | |
| Working reduced hours | 243 | 9.7 | 65 | 9.6 | 176 | 9.8 | |
| Unemployed/Looking for work | 45 | 1.8 | 9 | 1.3 | 36 | 2.0 | |
| Unpaid (Volunteer, Carer) | 14 | 0.6 | 3 | 0.4 | 11 | 0.6 | |
| Student | 61 | 2.4 | 20 | 3.0 | 41 | 2.3 | |
| Homemaker | 101 | 4.0 | 16 | 2.4 | 79 | 4.4 | |
| Unable to work | 478 | 19.1 | 133 | 19.7 | 342 | 19.1 | |
| Made redundant/took early retirement | 47 | 1.9 | 6 | 0.9 | 39 | 2.2 | |
| Retired | 155 | 6.2 | 27 | 4.0 | 115 | 6.4 | |
| Off sick | 46 | 1.8 | 9 | 1.3 | 36 | 2.0 | |
| Lost job or had/chose to stop work (n = 2483) | |||||||
| No | 1947 | 78.4 | 562 | 83.9 | 1362 | 76.4 | <0.001 |
| No but was furloughed | 165 | 6.7 | 25 | 3.7 | 136 | 7.6 | |
| Yes | 371 | 14.9 | 83 | 12.4 | 284 | 15.9 | |
| Had time off sick (n = 2484) | |||||||
| No | 709 | 28.5 | 171 | 25.3 | 535 | 29.8 | <0.001 |
| No but was furloughed | 126 | 5.1 | 20 | 3.0 | 105 | 5.9 | |
| Yes | 1649 | 66.4 | 484 | 71.7 | 1153 | 64.3 | |
| Time off sick, days (median, IQR) (n = 1564) | 60 | 54 | 60 | 0.56 | |||
| 20 to 129 | 22 to 129 | 20 to 129 | |||||
| Loss of income due to COVID-19 illness (n = 2479) | |||||||
| No | 1548 | 62.4 | 450 | 66.7 | 1092 | 60.9 | 0.008 |
| Yes | 931 | 37.6 | 225 | 33.3 | 701 | 39.1 | |
| Days income lost/too ill to work (median, IQR) (n = 622) | 120 | 84 | 129 | <0.001 | |||
| 50 to 172 | 30 to 151 | 60 to 172 | |||||
aComparisons between those with and without lab-confirmation of COVID-19 used t-test or Mann Whitney U for continuous and chi square test for categorical variables.