Table 2 Baseline data comparison between the non-depressive and depressive groups
From: Machine learning-driven identification of key risk factors for predicting depression among nurses
Characteristic | Non-depression group, N = 2701 | Depression group, N = 231 | P2 |
|---|---|---|---|
Gender | >0.999 | ||
Man | 2 (0.74%) | 0 (0.00%) | |
Female | 268 (99.26%) | 23 (100.00%) | |
Age | 0.689 | ||
Median (IQR) | 32.00 (29.00, 36.00) | 31.00 (30.00, 35.00) | |
Title | 0.803 | ||
Primary | 122 (45.19%) | 10 (43.48%) | |
Intermediate | 136 (50.37%) | 13 (56.52%) | |
Senior or Positive height | 12 (4.44%) | 0 (0.00%) | |
Year of working | 0.730 | ||
Median (IQR) | 10.00 (7.00, 14.00) | 9.00 (8.00, 12.50) | |
Habitation | >0.999 | ||
Rural or Township | 4 (1.48%) | 0 (0.00%) | |
City | 266 (98.52%) | 23 (100.00%) | |
Seek psychological assistance during the epidemic | >0.999 | ||
No | 265 (98.15%) | 23 (100.00%) | |
Female | 5 (1.85%) | 0 (0.00%) | |
Taken any psychotropic drugs before | 0.003 | ||
No | 265 (98.15%) | 19 (82.61%) | |
Yes | 5 (1.85%) | 4 (17.39%) | |
Entered or passed through high-risk areas in the past month | 0.221 | ||
No | 252 (93.33%) | 20 (86.96%) | |
Yes | 18 (6.67%) | 3 (13.04%) | |
Isolation location | 0.002 | ||
Home quarantine | 159 (58.89%) | 6 (26.09%) | |
Hospital isolation | 111 (41.11%) | 17 (73.91%) | |
SI count | <0.001 | ||
Median (IQR) | 5.00 (1.00, 8.00) | 11.00 (7.50, 15.00) | |
PSS count | <0.001 | ||
Median (IQR) | 16.00 (11.00, 17.00) | 20.00 (17.00, 24.50) |