TABLE 3.
Comparison of SCL-90 scores and internship experience scores with demographic data.
| Characteristic | Case (N = 241) | Internship experience_total | t/F | P | SCL_total score | t/F | P |
|---|---|---|---|---|---|---|---|
| Age (y) | 9.798 | 0.002 | 4.278 | 0.04 | |||
| 16–18 | 30 | 31.27 ± 3.27 | 123.97 ± 47.79 | ||||
| 19–21 | 123 | 29.13 ± 4.56 | 108.36 ± 28.48 | ||||
| 22–25 | 88 | 28.24 ± 4.39 | 106.95 ± 29.69 | ||||
| Gender | −0.819 | 0.414 | 0.658 | 0.511 | |||
| Male | 72 | 28.68 ± 5.09 | 111.82 ± 30.53 | ||||
| Female | 169 | 29.24 ± 4.13 | 108.92 ± 32.94 | ||||
| Education | 10.128 | 0.002 | 3.475 | 0.064 | |||
| Higher vocational | 31 | 30.9 ± 3.74 | 121.55 ± 45.42 | ||||
| Junior college | 93 | 29.46 ± 4.62 | 108.9 ± 32.49 | ||||
| Bachelor’s degree | 117 | 28.27 ± 4.3 | 107.38 ± 27.04 | ||||
| Major | 0.063 | 0.803 | 0.15 | 0.699 | |||
| Nursing | 120 | 29.57 ± 4.45 | 110.74 ± 35.93 | ||||
| Radiological medicine | 1 | 25 ± NA | 127 ± NA | ||||
| Medical imaging technology | 13 | 28.54 ± 3.82 | 111.15 ± 26.58 | ||||
| Psychiatry | 12 | 30.42 ± 3.87 | 112 ± 32.72 | ||||
| Clinical medicine | 44 | 26.75 ± 4.68 | 103.57 ± 20.91 | ||||
| Pharmacy | 4 | 33.25 ± 2.06 | 120.5 ± 37.75 | ||||
| Rehabilitation therapy | 5 | 31.8 ± 3.27 | 111.6 ± 25.44 | ||||
| Traditional Chinese medicine | 3 | 30.33 ± 2.08 | 93 ± 5.2 | ||||
| Medical laboratory technology | 21 | 28.62 ± 4.09 | 115.48 ± 26.26 | ||||
| General medicine | 5 | 27.4 ± 3.71 | 126.4 ± 77.52 | ||||
| Midwifery | 6 | 29.5 ± 3.21 | 105.33 ± 27.6 | ||||
| Stomatology | 1 | 35 ± NA | 90 ± NA | ||||
| Medical information engineering | 2 | 28 ± 0 | 110.5 ± 23.33 | ||||
| Health services and management | 1 | 35 ± NA | 96 ± NA | ||||
| Anesthesiology | 1 | 27 ± NA | 90 ± NA | ||||
| Biomedical engineering | 2 | 34.5 ± 0.71 | 96 ± 8.49 | ||||