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Table 2 Overview of the characteristics of the training dataset

From: How to predict the electronic health literacy of Chinese primary and secondary school students?: establishment of a model and web nomograms

Factor EHL = 0 EHL = 1 p-value
N 585 287
Sex    0.89
 Male 285 (48.7%) 138 (48.1%)  
 Female 300 (51.3%) 149 (51.9%)  
Age 14.0 (11.0, 17.0) 16.0 (13.0, 17.0)  < 0.01
Race    0.52
 Han 576 (98.5%) 285 (99.3%)  
 Nhan 9 (1.5%) 2 (0.7%)  
Grade     < 0.01
 2 190 (32.5%) 53 (18.5%)  
 3 166 (28.4%) 80 (27.9%)  
 4 223 (38.1%) 152 (53.0%)  
 5 1 (0.2%) 0 (0.0%)  
 7 5 (0.9%) 2 (0.7%)  
Family size 4.0 (4.0, 4.0) 4.0 (4.0, 4.0) 0.44
Only child    1.00
 Yes 67 (11.5%) 32 (11.1%)  
 No 518 (88.5%) 255 (88.9%)  
Employment status    0.05
 Father working 172 (29.4%) 71 (24.7%)  
 Mother working 18 (3.1%) 9 (3.1%)  
 Parents both working 82 (14.0%) 27 (9.4%)  
 No parent working 313 (53.5%) 180 (62.7%)  
Location of the household     < 0.01
 City 233 (39.8%) 79 (27.5%)  
 Rural 352 (60.2%) 208 (72.5%)  
Mother education 2.0 (1.0, 3.0) 2.0 (1.0, 3.0) 0.04
Father education 2.0 (2.0, 3.0) 2.0 (2.0, 4.0) 0.76
Game time of online 2.0 (0.0, 3.0) 2.0 (1.0, 3.0) 0.33
Parental phubbing behavior 21.0 (17.0, 25.0) 24.0 (19.0, 28.0)  < 0.01
General self-efficacy 23.0 (20.0, 26.0) 27.0 (23.0, 31.0)  < 0.01