Table 1 Characteristics of female medical workers during the COVID-19 pandemic
Demographics | Â | Â |
|---|---|---|
Age, years (mean ± SD) | 31.84 ± 5.97 |  |
Engagement time, seconds (mean ± SD) | 516.59 ± 254.58 |  |
Region(n[%]) | Â | Â |
Nanjing, jiangsu province | 8 | 5.000% |
Changzhou, jiangsu province | 1 | 0.625% |
Suzhou, jiangsu province | 54 | 33.750% |
Zhenjiang, jiangsu province | 48 | 30.000% |
Nantong, jiangsu province | 1 | 0.625% |
Hangzhou, zhejiang province | 46 | 28.750% |
Shanghai | 2 | 1.250% |
Medical profession (n[%]) | Â | Â |
Nurse | 151 | 94.375% |
Doctor | 9 | 5.625% |
Rank(n[%]) | Â | Â |
Primary | 82 | 51.250% |
Middle | 64 | 40.000% |
Senior | 14 | 8.750% |
Workplace(n[%]) | Â | Â |
Cabin | 140 | 87.500% |
Hospital | 9 | 5.625% |
sampling site | 11 | 6.875% |
Basic disease(n[%]) | Â | Â |
Yes | 16 | 10.000% |
No | 144 | 90.000% |
Medication(n[%]) | Â | Â |
Yes | 18 | 11.250% |
No | 142 | 88.750% |
Regular exercise(n[%]) | Â | Â |
Yes | 65 | 40.625% |
No | 95 | 59.375% |
Marital status(n[%]) | Â | Â |
Single | 49 | 30.625% |
Married | 29 | 18.125% |
With child | 82 | 51.250% |