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Table 3 Overview of the characteristics of the testing 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

235

128

Sex

  

0.83

 Male

123 (52.3%)

65 (50.8%)

 

 Female

112 (47.7%)

63 (49.2%)

 

Age

14.0 (10.0, 17.0)

15.0 (11.0, 16.0)

0.73

Race

  

1.00

 Han

233 (99.1%)

127 (99.2%)

 

 Nhan

2 (0.9%)

1 (0.8%)

 

Grade

  

0.83

 2

69 (29.4%)

36 (28.1%)

 

 3

68 (28.9%)

34 (26.6%)

 

 4

95 (40.4%)

57 (44.5%)

 

 7

2 (0.9%)

0 (0.0%)

 

 8

1 (0.4%)

1 (0.8%)

 

Family size

4.0 (4.0, 4.0)

4.0 (4.0, 4.0)

0.47

Only child

  

0.54

 Yes

17 (7.2%)

12 (9.4%)

 

 No

218 (92.8%)

116 (90.6%)

 

Employment status

  

0.02

 Father working

72 (30.6%)

25 (19.5%)

 

 Mother working

3 (1.3%)

3 (2.3%)

 

 Parents working

31 (13.2%)

11 (8.6%)

 

 No parent working

129 (54.9%)

89 (69.5%)

 

Location of the household

  

0.74

 City

91 (38.7%)

47 (36.7%)

 

 Rural

144 (61.3%)

81 (63.3%)

 

Mother education

2.0 (1.0, 3.0)

2.0 (1.0, 3.0)

0.89

Father education

2.0 (2.0, 3.0)

2.0 (2.0, 4.0)

0.11

Game of online

2.0 (1.0, 3.0)

1.0 (0.0, 2.5)

0.19

Parental phubbing behavior

22.0 (17.0, 27.0)

23.5 (17.0, 28.0)

0.38

General self-efficacy

23.0 (20.0, 26.0)

27.5 (22.0, 31.0)

 < 0.01