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Table 1 Socio-demographic characteristics of adolescents

From: Childhood trauma and psychological sub-health among Chinese adolescents: the mediating effect of Internet addiction

Variables

Total Participants

(n= 866)

PSH

(n= 223,25.8%)

PH

(n= 643,74.2%)

Z/X2

P

Age

12.96 (1.50)

13.05 (1. 52)

12.92 (1.50)

1.15

0.25

Gender

   

3.23

0.07

 Male

441 (50.9%)

102 (45.7%)

339 (52.7%)

  

 Female

425 (49.1%)

121 (54.3%)

304 (47.3%)

  

Grade

   

2.57

0.11

 Primary school

350 (40.4%)

80 (35.9%)

270 (42.0%)

  

 Middle school

516 (59.6%)

143 (64.1%)

373 (58.0%)

  

Left behind status

   

17.72

<0.001

 Yes

423 (48.8%)

136 (61.0%)

287 (44.6%)

  

 No

443 (51.2%)

87 (39.0%)

356 (55.4%)

  

Only child

   

0.01

0.93

 Yes

355 (41.0%)

92 (41.3%)

263 (40.9%)

  

 No

511 (59.0%)

131 (58.7%)

380 (59.1%)

  

Father’s educational level

   

2.96

0.09

 <9 years

525 (60.6%)

146 (65.5%)

379 (58.9%)

  

 ≥9yeaes

341 (39.4%)

77 (34.5%)

264 (41.1%)

  

Mother’s educational level

   

1.22

0.27

 <9 years

560 (64.7%)

151 (67.7%)

409 (63.6%)

  

 ≥9 years

306 (35.3%)

72 (32.3%)

234 (36.4%)

  

Parents’ marital status

   

3.25

0.07

 Married

721 (83.3%)

177 (79.4%)

544 (84.6%)

  

 Parental divorce or death of a parent

145 (16.7%)

46 (20.6%)

99 (15.4%)

  

Economic situation

   

3.33

0.19

 Better

192 (22.2%)

47 (21.1%)

145 (22.6%)

  

 General

625 (72.2%

158 (70.9%)

467 (72.6%)

  

 Poor

49 (5.7%)

18 (8.1%)

31 (4.8%)

  

Accommodation type

   

13.00

<0.001

 Yes

193 (22.3%)

69 (30.9%)

124 (19.3%)

  

 No

673 (77.7%)

154 (69.1%)

519 (80.7%)

  

NSSI

   

117.21

<0. 001

 Yes

308 (35.6%)

146 (65.5%)

162 (25.2%)

  

 No

558 (64.4%)

77 (34.5%)

481 (74.8%)

  
  1. PSH: psychological sub-health, PH: psychological health, NSSI: Non-suicidal self-injury. The standard deviation and the percentage are in parentheses. Bolded P values < 0.05