Skip to main content
. 2026 Jul 14;13:1760463. doi: 10.3389/fmed.2026.1760463

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