Table 9
Model 2 Logistic regression: risk of cyber-bullying of adults, by selected characteristics of Internet users, 2009

Table 9
Model 2 Logistic regression: risk of cyber-bullying of adults, by selected characteristics of Internet users, 2009
Characteristics of Internet users Cyber-bullying
odds ratio
Age group  
18 to 24 years 1.43Note *
25 years or over reference
Marital status  
Single 2.16Note ***
Separated or divorced 1.74Note ***
Married, common-law or widowed reference
Member of a visible minority  
Visible minority 0.69Note *
Non-visible minority reference
Language spoken at home  
Non-official language 1.14
French 0.61Note ***
English reference
Sexual orientation  
Homosexual or bisexual 1.86Note **
Heterosexual reference
Activity limitation  
Activity limitation 1.79Note ***
No activity limitation reference
Use of social networking sites  
Yes 2.13Note ***
No reference
Use of chat sites  
Yes 2.38Note ***
No reference
Trust in family membersNote 1  
They can be trusted a lot 0.62Note ***
Cannot be trusted at all or can be more or less trusted reference
Violent victimizations during the 12 months preceding the survey  
Two or more 3.22Note ***
One 1.63Note **
None reference
* significantly different from reference category (p < 0.05)
** significantly different from reference category (p < 0.01)
*** significantly different from reference category (p < 0.001)
1. Answers were based upon the question: "How much do you trust people in your family?" using a 5-point scale with 1 being "Cannot be trusted at all" and 5 being "Can be trusted a lot". For the purposes of this analysis, answers 1 through 4 were combined into the category "Cannot be trusted at all or can be more or less trusted".
Note: Based upon all Canadians aged 18 and over who used the Internet at least once during the 12 months preceding the survey. Excludes data for Yukon, the Northwest Territories and Nunavut. Non-significant variables were excluded from the model. These variables include: sex, personal income, main activity, education, place of residence, immigration status, Aboriginal identity, drug use, number of close friends living in the neighbourhood, frequency of Internet use, methods of protection (antivirus, changing password).
Source: Statistics Canada, General Social Survey, 2009.
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