Skip to main content
. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: J Adolesc Health. 2019 Jul 17;65(5):613–620. doi: 10.1016/j.jadohealth.2019.05.006

Table 1.

Descriptive statistics of study variables at baseline in overall sample and by cyberbullying roles at baseline (n, %)

Cyberbullying roles
Overall Sample Noninvolved Witness Only Witness and Victim Witness and Perpetrator Witness, Victim, and Perpetrator Overall Group Contrast
(N = 2,768) (n = 1,324) (n = 907) (n = 286) (n = 64) (n = 187) p

n (%) n (%) n (%) n (%) n (%) n (%)
Female sex, n (%) 1,480 (53.5) 635 (48.0) 559 (61.6)ab 202 (70.6)ab 27 (42.2) 86 (46.0) < .001c
Race/ethnicity, n (%) < .001c
 Hispanic 1,301 (47.0) 682 (52.6)b 415 (46.3)ab 102 (36.3)a 35 (54.7)b 67 (37.0)a
 Asian 501 (18.1) 225 (17.4)b 177 (19.8) 44 (15.7)b 9 (14.1) 46 (25.4)a
 White 444 (16.0) 179 (13.8) 153 (17.1)a 74 (26.3)ab 5 (7.8) 33 (18.2)
 Multiracial 175 (6.3) 70 (5.4) 64 (7.1) 25 (8.9)a 4 (6.3) 12 (6.6)
 Black 119 (4.3) 64 (4.9) 29 (3.1)a 12 (4.3) 5 (7.8) 10 (5.5)
 Native Hawaiian 108 (3.9) 47 (3.6) 28 (3.1) 14 (5.0) 5 (7.8) 11 (6.1)
 Other 41 (1.5) 19 (1.5) 14 (1.6) 5 (1.8) 1 (1.6) 2 (1.1)
 American Indian 29 (1.0) 10 (0.8) 14 (1.6) 5 (1.8) 0 (0.0) 0 (0.0)
Parent graduated high school, n (%) 1,687 (60.9) 766 (69.5) 567 (70.7) 189 (72.4) 46 (74.2) 119 (71.3) .83c
Age (years), M (SD) 15.5 (0.5) 15.5 (0.6) 15.5 (0.4) 15.5 (0.4) 15.5 (0.4) 15.5 (0.4) .66d
Baseline past-6-month substance use, n (%)
 Alcohol 742 (26.8) 258 (19.7)b 293 (32.8)ab 90 (31.6)ab 27 (42.2)a 74 (40.2)a < .001c
 E-cigarettes 422 (15.2) 146 (11.1)b 153 (17.1)ab 58 (20.4)ab 15 (23.8)a 50 (27.2)a < .001c
 Marijuana (combustible) 402 (14.5) 139 (10.6)b 144 (16.1)ab 51 (17.9)ab 15 (23.4)ab 53 (28.8)a < .001c
 Hookah 279 (10.1) 89 (6.8)b 101 (11.3)ab 41 (14.5)a 15 (23.4)a 33 (18.0)a < .001c
 Marijuana (edible) 207 (7.5) 66 (5.0)b 69 (7.7)ab 28 (9.8)ab 11 (17.2)a 33 (18.0)a < .001c
 Cigarettes 195 (7.0) 62 (4.7)b 62 (6.9)b 32 (11.2)a 10 (15.6) 29 (15.8)a < .001c
 Prescription painkillers 141 (5.1) 42 (3.2)b 47 (5.3)ab 24 (8.4)a 7 (10.9)a 21 (11.4)a < .001c
 Cigars 81 (2.9) 21 (1.6)b 29 (3.2)ab 14 (4.9)a 6 (9.5)a 11 (6.0)a < .001c
 Prescription stimulants 81 (2.9) 24 (1.8)b 24 (2.7)b 12 (4.2)ab 5 (7.8)a 16 (8.7)a < .001c
Number of substances used
 0 1745 (63.7) 954 (72.7)b 519 (58.1)ab 159 (55.8)a 25 (39.1)a 88 (47.8)a < .001c
 1 385 (14.1) 151 (11.5) 146 (16.3)a 41 (14.4) 17 (26.6)ab 30 (16.3) .001c
 2 224 (8.2) 89 (6.8) 87 (9.7)a 29 (10.2) 4 (6.3) 15 (8.2) .09c
 ≥ 3 386 (14.1) 119 (9.1)b 142 (15.9)ab 56 (19.6)ab 18 (28.1)a 51 (27.7)a < .001c
Lifetime cyberbullying frequencye, M (SD)
 Witness 1.5 (1.3) 0.2 (0.4)b 2.4 (0.7)ab 2.9 (0.8)ab 3.1 (0.7)a 3.2 (0.8)a < .001d
 Perpetration 0.3 (0.7) 0.0 (0.1)b 0.1 (0.3)ab 0.3 (0.4)ab 2.2 (0.5)ab 2.5 (0.8)a < .001d
 Victimization 0.5 (1.0) 0.0 (0.2)b 0.2 (0.4)ab 2.5 (0.7)ab 0.3 (0.4)ab 2.6 (0.8)a < .001d
a

Pairwise significant differences between respective group and noninvolved group (uncorrected p < .05).

b

Pairwise significant differences between respective group and the witness, victim, and perpetrator group (uncorrected p < .05).

c

Calculated using the χ2 test.

d

Calculated using analysis of variance.

e

Quantitative estimate of frequency of involvement in respective form of cyberbullying (0 = never, 1 = once, 2 = a few times, 3 = several times, 4 = many times).