Table 5.
Factors associated with contemplating retiring early
Pre-pandemic | Post-pandemic | ||||
---|---|---|---|---|---|
Retiring early | Yes | No | Yes | No | P-value |
Gender | |||||
Male | 22 | 53 | 35 | 41 | 0.04* |
Female | 55 | 174 | 86 | 147 | 0.003* |
Age (years) | |||||
25–34 | 9 | 33 | 14 | 29 | 0.33 |
35–44 | 13 | 69 | 20 | 63 | 0.24 |
45–54 | 33 | 73 | 49 | 57 | 0.03* |
55–64 | 22 | 49 | 37 | 36 | 0.02* |
Working status | |||||
Less than full time | 18 | 61 | 27 | 54 | 0.16 |
Full time | 59 | 162 | 94 | 130 | 0.001* |
Occupation | |||||
Doctor | 34 | 78 | 59 | 55 | 0.001* |
Nurse | 24 | 80 | 39 | 67 | 0.04* |
Other | 15 | 60 | 19 | 57 | 0.56 |
Ethnicity | |||||
White | 60 | 190 | 96 | 155 | <0.001* |
Non-White | 16 | 34 | 23 | 30 | 0.31 |
Long COVID | |||||
Yes | 11 | 17 | 19 | 10 | 0.07 |
No | 66 | 210 | 102 | 178 | 0.002* |
Remote working | |||||
Yes, all the time | 4 | 20 | 7 | 17 | 0.49 |
Yes, sometimes | 48 | 111 | 74 | 87 | 0.004* |
No | 25 | 92 | 40 | 80 | 0.04* |
Burnout | |||||
Yes | 51 | 125 | 78 | 99 | 0.004* |
No | 26 | 102 | 43 | 89 | 0.03* |
Statistical analyses are performed using the two-tailed Fisher's exact test.
*P < 0.05