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. 2023 Mar 31;27(1):9–16. doi: 10.4103/ijoem.ijoem_85_22

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