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Table 4 Multivariable analyses

From: Is cyberbullying perpetration associated with anxiety, depression and suicidal ideation among lebanese adolescents? Results from a cross-sectional study

Model 1: Linear regression (using the ENTER method) taking the anxiety score as the dependent variable.

 

Unstandardized Beta

Standardized Beta

p

95% CI

Sex (females vs. males*)

3.00

0.18

< 0.001

1.88–4.13

Influence of problems on work (kind of hard vs. not at all*)

6.74

0.40

< 0.001

5.55–7.92

Influence of problems on work (very/extremely hard vs. not at all*)

12.26

0.43

< 0.001

10.18–14.34

Sexual cyberbullying in cyberspace (yes vs. no*)

2.89

0.11

0.004

0.93–4.85

Embarrassing and inserting malicious content in cyberspace (yes vs. no*)

2.66

0.12

0.002

1.01–4.31

Age

0.78

0.09

0.014

0.16–1.40

Parents status (divorced vs. married*)

-0.55

-0.02

0.668

-3.04-1.95

Model 2: Linear regression (using the ENTER method) taking the depression score as the dependent variable.

 

Unstandardized Beta

Standardized Beta

p

95% CI

Sex (females vs. males*)

1.82

0.15

< 0.001

0.94–2.70

Influence of problems on work (kind of hard vs. not at all*)

4.23

0.34

< 0.001

3.30–5.16

Influence of problems on work (very/extremely hard vs. not at all*)

8.55

0.40

< 0.001

6.92–10.18

Sexual cyberbullying in cyberspace (yes vs. no*)

2.37

0.12

0.003

0.83–3.91

Embarrassing and inserting malicious content in cyberspace (yes vs. no*)

2.32

0.14

< 0.001

1.03–3.62

Age

0.88

0.13

< 0.001

0.39–1.36

Parents status (divorced vs. married*)

0.02

0.001

0.983

-1.94- 1.98

  1. *Reference group; numbers in bold indicate significant p-values. Nagelkerke R2 = 0.412 for model 1 and 0.361 for model 2