Research Article

Research on the Relationship Model between Professional Identity and Life Meaning of Clinical Medical Freshmen based on Artificial Intelligence Medical Image Detection

Table 4

Comparison of professional identity scores between different groups (n = 773).

VariableNCognitionEmotionalityBehaviorFitnessTotal scores

Age≤18 years39221.76 ± 2.5335.16 ± 4.6724.78 ± 3.6315.48 ± 2.8097.18 ± 11.95
>18 years38121.72 ± 2.7935.45 ± 4.6425.05 ± 3.8215.58 ± 3.0297.80 ± 12.48

t0.230.86−1.030.460.70
0.820.390.300.650.48
GenderMale35321.78 ± 2.9435.10 ± 5.0124.89 ± 4.1515.83 ± 3.0297.60 ± 13.45
Female42021.70 ± 2.4035.47 ± 4.3224.93 ± 3.3315.28 ± 2.7997.38 ± 11.07

t0.44−1.090.152.600.25
0.660.280.880.010.80
NationalityHan nationality63221.68 ± 2.7435.10 ± 4.7624.79 ± 3.8515.46 ± 2.9697.03 ± 12.59
Minority14121.99 ± 2.7835.18 ± 4.0425.45 ± 3.0715.87 ± 2.6899.50 ± 10.16

t−1.26−2.51−1.91−1.51−2.17
0.210.010.060.130.03
Political statusCommunist youth league67321.75 ± 2.6835.35 ± 1.6424.89 ± 3.7615.47 ± 2.9397.47 ± 12.26
Other10021.61 ± 2.5534.91 ± 4.7524.99 ± 3.4515.88 ± 2.7097.38 ± 11.90

t0.510.88−0.24−1.290.07
0.610.380.810.200.94
Class cadreYes41321.78 ± 2.6535.37 ± 4.7724.87 ± 3.8315.52 ± 3.0697.53 ± 12.57
No36021.69 ± 2.6835.22 ± 4.5124.96 ± 3.6015.55 ± 2.7397.43 ± 11.80

t0.430.45−0.34−0.160.12
0.660.650.730.870.90
First choiceYes61021.91 ± 2.5735.71 ± 4.4525.13 ± 3.6715.72 ± 2.9198.48 ± 11.82
No16321.09 ± 2.9033.75 ± 5.0724.09 ± 3.8214.82 ± 2.7993.74 ± 12.95

t3.554.873.183.564.46
<0.001<0.0010.002<0.001<0.001
Only childYes26222.09 ± 2.6335.85 ± 4.5525.46 ± 3.5116.05 ± 2.7599.45 ± 11.85
No51121.56 ± 2.6635.02 ± 4.6824.63 ± 3.8015.27 ± 2.9696.47 ± 12.28

t2.652.372.953.573.23
0.0080.0180.003<0.0010.001
Place of residenceUrban48321.94 ± 2.5935.68 ± 4.6025.19 ± 3.7815.83 ± 2.9198.64 ± 12.26
Rural29021.40 ± 2.7534.67 ± 4.6824.44 ± 3.5915.04 ± 2.8595.55 ± 11.91

t2.752.952.713.663.43
0.0060.0030.007<0.0010.001
Father’s occupationNonmedical staff74921.72 ± 2.6835.28 ± 4.6724.88 ± 3.7315.50 ± 2.9397.38 ± 12.25
Medical staff2422.42 ± 2.0435.83 ± 4.2325.83 ± 3.3616.67 ± 2.10100.75 ± 10.75

F−1.27−0.57−1.23−1.95−1.33
0.210.570.220.050.18
Mother’s occupationNonmedical staff73821.71 ± 2.6835.26 ± 4.6724.87 ± 3.7315.48 ± 2.9397.32 ± 12.24
Medical staff3522.31 ± 2.2636.20 ± 4.3125.74 ± 3.6016.66 ± 2.03100.91 ± 11.16

F−1.31−1.17−1.35−2.35−1.70
0.190.240.180.020.09
Father’s educationPrimary school or below13721.15 ± 2.9034.66 ± 4.7924.40 ± 3.6615.01 ± 2.8995.22 ± 12.46
Junior high school31521.46 ± 2.5934.81 ± 4.8124.60 ± 3.6815.20 ± 2.9796.08 ± 12.22
Senior high school13322.37 ± 2.6835.93 ± 4.5025.42 ± 3.9615.67 ± 3.0599.39 ± 12.37
Vocational or junior college10821.96 ± 2.5435.66 ± 4.3924.69 ± 3.6815.82 ± 2.5198.14 ± 11.60
Undergraduate or above8022.51 ± 2.2536.79 ± 3.9026.45 ± 3.2117.09 ± 2.41102.84 ± 10.27

F6.504.425.438.477.18
<0.0010.002<0.001<0.001<0.001
Mother’s educationPrimary school or below21.30 ± 2.7834.74 ± 4.8424.31 ± 3.9614.75 ± 3.1095.09 ± 12.72
Junior high school21.52 ± 2.6634.70 ± 4.7424.49 ± 3.6015.23 ± 2.8095.94 ± 11.95
Senior high school21.92 ± 2.2535.80 ± 3.8725.48 ± 3.3515.84 ± 2.6199.04 ± 10.51
Vocational or junior college22.45 ± 2.5236.17 ± 4.5025.53 ± 3.6416.40 ± 2.59100.55 ± 11.76
Undergraduate or above22.39 ± 2.7337.05 ± 4.3026.45 ± 3.5117.07 ± 2.67102.96 ± 11.79

F5.356.017.0113.459.49
<0.001<0.001<0.001<0.001<0.001
Family monthly income (RMB)<300019421.66 ± 2.7635.64 ± 4.5825.20 ± 3.5615.40 ± 3.0797.90 ± 12.24
3000–600035821.65 ± 2.6534.96 ± 4.6824.60 ± 3.7015.35 ± 2.7596.56 ± 12.15
6000–1000014121.83 ± 2.6035.33 ± 4.5024.99 ± 3.7615.79 ± 2.8597.95 ± 11.47
>100008022.18 ± 2.6135.95 ± 4.9125.46 ± 4.1016.18 ± 3.2299.76 ± 13.44

F0.971.541.812.271.76
0.410.200.150.080.15