| Literature DB >> 36231436 |
Marko Mikkola1, Noora Ellonen1, Markus Kaakinen2, Iina Savolainen1, Anu Sirola3, Izabela Zych4, Hye-Jin Paek5, Atte Oksanen1.
Abstract
This article introduces and applies an integrative model of cyberharassment victimization. The model combines routine activity theory (RAT), the general theory of crime (GTC), and the personal resources approach to analyze risk factors for victimization while acknowledging the protective role of a sense of mastery. Survey respondents were aged 15 to 25 years (N = 4816) from the U.S., Finland, Spain, and South Korea. Logistic regression models were used to analyze cyberharassment victimization. RAT-related factors were positively associated with cyberharassment victimization. Low self-control was positively associated with cyberharassment victimization in the U.S., Finland, and Spain but not in South Korea. The sense of mastery was negatively associated with cyberharassment victimization in the U.S., Finland, and South Korea but not in Spain. Protective factors against cyberharassment victimization should be utilized in future studies as adequate knowledge of protective factors could assist policymakers in generating preventative measures against cyberharassment. Our study demonstrates the benefits of integrating criminological theories and protective factors in studies using cross-national data to gain a better understanding of the dynamics of cyberharassment.Entities:
Keywords: cyberharassment; general theory of crime; routine activity theory; sense of mastery; victimization
Mesh:
Year: 2022 PMID: 36231436 PMCID: PMC9566085 DOI: 10.3390/ijerph191912138
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Descriptive statistics. Categorical variables are presented as frequencies (n) and proportions (%). Continuous variables are presented as means (M), standard deviations (SD), and Cronbach’s alphas (α).
| United States | Finland | Spain | South Korea | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables |
|
| Range | α |
|
| Range | α |
|
| Range | α |
|
| Range | α |
| Danger Sites | 0.79 | 1.79 | 0–9 | 0.86 | 0.92 | 1.36 | 0–9 | 0.70 | 1.09 | 1.90 | 0–9 | 0.84 | 0.42 | 1.92 | 0–9 | 0.85 |
| Social Media Sharing | 7.36 | 3.62 | 0–14 | 0.76 | 5.25 | 3.08 | 0–14 | 0.76 | 7.60 | 3.44 | 0–14 | 0.75 | 4.73 | 3.36 | 0–14 | 0.72 |
| Loneliness | 5.51 | 1.85 | 3–9 | 0.82 | 5.52 | 1.78 | 3–9 | 0.83 | 5.10 | 1.77 | 3–9 | 0.81 | 5.23 | 1.73 | 3–9 | 0.84 |
| Impulsivity | 1.90 | 1.60 | 0–5 | 0.64 | 1.96 | 1.68 | 0–5 | 0.68 | 2.05 | 1.58 | 0–5 | 0.67 | 1.55 | 1.46 | 0–5 | 0.63 |
| Mastery | 17.30 | 3.48 | 7–28 | 0.63 | 17.10 | 3.62 | 7–28 | 0.70 | 17.30 | 3.34 | 7–28 | 0.65 | 18.33 | 3.46 | 7–28 | 0.74 |
| Age | 20.05 | 3.19 | 15–25 | - | 21.29 | 2.85 | 15–25 | - | 20.07 | 3.16 | 15–25 | - | 20.61 | 3.24 | 15–25 | - |
| Cat.variables | coding |
| % | coding |
| % | coding |
| % | coding |
| % | ||||
| Cyberharassment Victim | Yes | 282 | 23.3 | Yes | 250 | 20.8 | Yes | 222 | 18.3 | Yes | 78 | 6.5 | ||||
| No | 930 | 76.7 | No | 950 | 79.2 | No | 990 | 81.7 | No | 1114 | 93.5 | |||||
| Participants Sex | Male | 604 | 49.83 | Male | 600 | 50.00 | Male | 621 | 51.24 | Male | 591 | 49.58 | ||||
| Female | 608 | 50.17 | Female | 600 | 50.00 | Female | 591 | 48.76 | Female | 601 | 50.42 | |||||
Zero-order correlation matrix. Dependent variable cyberharassment victimization.
| United States | Finland | Spain | South Korea | |
|---|---|---|---|---|
| Variables | ||||
| Danger Sites | 0.18 ** | 0.09 ** | 0.18 ** | 0.22 ** |
| Social Media Sharing | 0.16 ** | 0.20 ** | 0.14 ** | 0.16 ** |
| Sex | 0.07 * | 0.03 | 0.06 * | −0.03 |
| Age | 0.10 ** | −0.07 * | 0.07 * | −0.08 ** |
| Loneliness | 0.18 ** | 0.15 ** | 0.13 ** | 0.13 ** |
| Impulsivity | 0.18 ** | 0.13 ** | 0.12 ** | 0.08 ** |
| Mastery | −0.16 ** | −0.14 ** | −0.09 ** | −0.12 ** |
* p < 0.05. ** p < 0.01.
Logistic regression country tables for cyberharassment victimization by type of routine activity, low self-control, sense of mastery, and control variables.
| Harassment | United States | Finland | Spain | South Korea | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | OR |
| AME | OR |
| AME | OR |
| AME | OR |
| AME |
| Routine Activity | ||||||||||||
| Danger Sites | 1.27 | <0.001 | 0.038 *** | 1.21 | 0.031 | 0.028 * | 1.27 | <0.001 | 0.034 *** | 1.42 | 0.001 | 0.019 ** |
| Social Media Sharing | 1.32 | <0.001 | 0.045 *** | 1.73 | <0.001 | 0.082 *** | 1.28 | 0.005 | 0.035 ** | 1.54 | 0.002 | 0.024 ** |
| Loneliness | 1.25 | 0.004 | 0.035 ** | 1.41 | <0.001 | 0.051 *** | 1.23 | 0.010 | 0.029 ** | 1.38 | 0.020 | 0.018 * |
| Low Self-Control | ||||||||||||
| Impulsivity | 1.34 | <0.001 | 0.047 *** | 1.19 | 0.014 | 0.027 ** | 1.22 | 0.012 | 0.028 * | 1.08 | 0.591 | 0.004 |
| Mastery | ||||||||||||
| Sense of Mastery | 0.80 | 0.006 | −0.035 ** | 0.83 | 0.017 | −0.02 8** | 0.88 | 0.152 | −0.018 | 0.68 | 0.015 | −0.022 * |
| Control variables | ||||||||||||
| Age | 1.06 | 0.013 | 0.009 * | 0.97 | 0.278 | −0.004 | 1.03 | 0.185 | 0.005 | 0.90 | 0.007 | −0.006 ** |
| Female sex | 1.60 | 0.002 | 0.075 ** | 0.92 | 0.613 | −0.013 | 1.51 | 0.010 | 0.057 ** | 0.76 | 0.275 | −0.015 |
| Model | 1212 | 1200 | 1212 | 1192 | ||||||||
| LR χ² | 126.20 | 103.46 | 77.21 | 75.53 | ||||||||
| Nagelkerke R² | 0.149 | 0.129 | 0.100 | 0.156 | ||||||||
| Model significance | 0.000 | 0.000 | 0.000 | 0.000 | ||||||||
* p < 0.05. ** p < 0.01. *** p < 0.001. AME = average marginal effects, OR = odds ratio.