Table 5.
Comparison of PREW frequencies according to occupational classes
Occupational Classes | PREW, n(%) | Non-PREW, n(%) | Row total n (%) | OR (95% CI) | P |
---|---|---|---|---|---|
Managers | 2 (15.4) | 11 (84.6) | 13 (100) | 0.60 (0.12-2.80) | 0.738 |
Professionals (excluding healthcare professionals) | 2 (10.5) | 17 (89.5) | 19 (100) | 0.37 (0.08-1.68) | 0.257 |
Healthcare workers | 6 (9.7) | 56 (90.3) | 62 (100) | 0.28 (0.11-0.70) | 0.004* |
Clerical support workers | 3 (14.3) | 18 (85.7) | 21 (100) | 0.54 (0.15-1.90) | 0.422 |
Service and sales workers | |||||
Shopkeepers | 7 (%58.3) | 5 (41.7) | 12 (100) | 5.32 (1.61-17.55) | 0.007* |
Sales and Personal service workers | 12 (40) | 18 (60) | 30 (100) | 2.63 (1.17-5.90) | 0.016* |
Manual workers | 8 (22.9) | 27 (77.1) | 35 (100) | 1.00 (0.42-2.37) | 0.987 |
Drivers | 7 (58.3) | 5 (41.7) | 12 (100) | 5.32 (1.61-17.55) | 0.007* |
Cleaners and helpers | 4 (40) | 6 (60) | 10 (100) | 2.36 (0.64-8.72) | 0.241 |
Protective services workers and armed forces | 2 (10.5) | 17 (89.5) | 19 (100) | 0.37 (0.08-1.68) | 0.257 |
OR=Odds ratio; CI=confidence interval; PREW=pandemic-related economic worsening; non-PREW=non-pandemic related economic worsening; *=P <0 .05. The Chi-square test was performed on the groups of those who are in the one certain occupational class and those who are not