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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