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Table 5 Uni-variate and multivariate logistic regression analyses showing associations between various variables of adolescent cyberbullying and mental health level

From: Prevalence and related risks of cyberbullying and its effects on adolescent

Characteristics

Uni-variate

Multivariate

cOR

95% C.I

p-value

aOR

95% C.I

p-value

Lower

Upper

Lower

Upper

Age (years)

1.2

1.12

1.4

 < 0.001

1.2

0.9

1.5

0.183

Gender

Female*

1

   

1

   

Male

1.9

0.9

3.7

0.081

2.2

0.9

5.2

0.075

Being Cyberbullied Before

No*

        

Yes

2.8

1.8

4.3

 < 0.001

-

-

-

-

Academic Performance affected Cyberbullying

No*

1

       

Yes

6.5

2.2

19.5

0.001

2.5

0.7

9.4

0.174

Frequency of harassments

Days or Weeks*

1

   

1

   

Months or years

1.9

1.1

3.3

0.029

2.8

1.2

6.4

0.017

Thinking about leaving school as a result of being Cyberbullied

No*

1

       

Yes

3.0

1.1

8.5

0.035

-

-

-

-

Have you thought about getting rid of the bully on you?

No*

1

       

Yes

2.8

1.3

5.7

0.006

1.9

0.8

4.4

0.128

Thinking to stop using Electronic Devices

No*

1

   

1

   

Yes

3.0

1.1

8.5

0.035

1.3

0.3

4.8

0.737

Thinking about hurting yourself as a result of being Cyberbullied

No*

1

       

Yes

6.4

1.9

22.3

0.003

3.6

0.9

15.0

0.078

  1. * Reference category, CI Confidence Interval, cOR Crude Odds ratio, aOR Adjusted Odds ratio