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Table 1 Participants’ demographic characteristics and frequency distribution of behavior related to suicide and self-harm. No. (%)

From: Associations between Chinese adolescents subjected to traditional and cyber bullying and suicidal ideation, self-harm and suicide attempts

Variables

Total (n = 2647)

Suicidal ideation, suicide attempts, and self-harm

Suicide attempts (n = 110)

Suicidal ideation plus self-harm (n = 79)

Suicidal ideation only (n = 439)

Self-harm only (n = 35)

Gender a

 Girls

1292 (51.2)

76 (5.9)

54 (4.2)

256 (19.8)

18 (1.4)

 Boys

1231 (48.8)

32 (2.6)

25 (2.0)

172 (14.0)

16 (1.3)

Grade

 7th

1269 (47.9)

53 (4.2)

35 (2.8)

217 (17.1)

20 (1.6)

 8th

789 (29.8)

33 (4.2)

24 (3.0)

118 (15.0)

10 (1.3)

 9th

589 (22.3)

24 (4.1)

20 (3.4)

104 (17.7)

5 (0.8)

Urbanity of school

 Urban

998 (37.7)

46 (4.6)

35 (3.5)

209 (20.9)

15 (1.5)

 Suburban

1111 (42.0)

52 (4.7)

28 (2.5)

158 (14.2)

14 (1.3)

 Island

538 (20.3)

12 (2.2)

16 (3.0)

72 (13.4)

6 (1.1)

Type of school

 Government-funded

2062 (77.9)

83 (4.0)

59 (2.9)

319 (15.5)

33 (1.6)

 Private

585 (22.1)

27 (4.6)

20 (3.4)

120 (20.5)

2 (0.3)

Bullying victimization

 Combined bullying

92 (3.5)

13 (14.1)

7 (7.6)

33 (35.9)

0

 Cyber bullying only

146 (5.5)

10 (6.8)

9 (6.2)

40 (27.4)

5 (3.4)

 Traditional bullying only

350 (13.2)

20 (5.7)

14 (4.0)

70 (20.0)

9 (2.6)

 Neither

2059 (77.8)

67 (3.3)

49 (2.4)

296 (14.4)

21 (1.0)

  1. a There were 124 missing data in gender