Evaluation of
bullying and cyber victimization in adolescents
Maryam Zavar Mousavi 1, Maryam
Kousha 1, Mahsah
Hosein Pour 1, Sara Dehbozorgi
2*, Marzie Farid 2
1 Kavosh Cognitive
Behavior Sciences and Addiction Research Center, Department of Psychiatry,
School of Medicine, Guilan University of Medical
Sciences, Rasht, Iran
2
Research Center for Psychiatry and Behavior Science, Department of Psychiatry,
Shiraz University of Medical Sciences, Shiraz, Iran
*Corresponding
Author: Sara Dehbozorgi
* Email: Dehbozorgi.sa@gmail.com
Abstract
Introduction: In recent years, with the change in people’s lifestyles and the advent
of technology, the method of bullying has changed. In the 21st century, bullies
use new methods to harass their former peers. This type of bullying is bullying
behaviours through electronic and digital media. In
addition, its main feature is the lack of dependence on face-to-face
communication between the victim and the bully. According to statistics, this
problem has affected more than 32% of teens worldwide since 2007.
Materials
and Methods: The present study was a cross-sectional analytical study examining
cyberbullying and victimization rates in adolescents aged 12 to 18. In this
study, 254 children of working parents and clients referred to Shafa Educational and Medical Center of Guilan
University of Medical Sciences were evaluated by a CBVEQ questionnaire (during
2021).
Results: The scores from the factors of victimization and cyberbullying in this
study were obtained. They showed that the average score of adolescents was
22.79 in the context of cyber victimization. Moreover, the score was 20.27 in
the context of cyberbullying. Besides, Boys were more likely than girls to be
victims of cyberbullying. The rate of cyberbullying in adolescents aged 15 to
18 was higher than the younger ages. Furthermore, the lower the parents’
educational level, the rate of cyberbullying and victimization increased in
adolescents.
Conclusion: The findings of this study and a recent study about the extent of
cyberbullying and victimization among teenagers suggest that preventive
strategies and interventions of parents and schools are needed.
Keywords: Bullying, Victimization, Cyber Bullying, Cyber Victimization, Teenager
Introduction
In recent years, with people’s lifestyle changes and technology
introduction into their lives, the way of bullying has also changed. Today, the
American Psychological Association considers bullying a form of behavioural aggression in which one person intentionally
and systematically harasses and offends another (1, 2).
In the 21st century, bullies are using new methods of
harassment and bullying than their previous peers. This new bullying refers to
bullying behaviour through electronic and digital
media. The main feature of this new bullying is the lack of dependence on
face-to-face communication between the bully and the victim. This latest type
of bullying is called cyberbullying
and victimization (3).
Various studies on bullying and cyberbullying found that approximately
43% of children were targeted by bullying and harassment online. Moreover, 70%
of students reported experiencing bullying and harassment online. Girls were
twice as likely as boys to be victims of cyberbullying (4).
A study investigated the risks of child and adolescent victimization
through cyberbullying during the entry/exit restrictions of COVID-19 (5). This study found
that with the increasing use of social media among children and adolescents
during restrictions, most became cyberbullying victims. Besides, where young
people were bullied, most posts and comments contained content about sex and
sexual opinions. There were videos about the images of young girls and the
trending of videos about school children fighting and insulting each other. A
notable finding of this study was the use of fake accounts to commit
cyberbullying (5).
As Aguaded (2014) points out, the most
thoughtful response to a bullying society requires the development of media
competence (6). Consequently,
according to studies by Livingstone et al (2017), families and schools should
seek to maximize the use of media for learning and entertainment (7, 8). Other researchers
pointed to the need to reinforce the idea of educating children to become
friends on social media (9).
Furthermore, the parental attachment was critical to preventing
adolescent misconduct (10).
According to the social control theory, the individual’s association
with society is essential in reducing deviant behaviours.
Besides, research showed that students with more significant family problems
were more involved in cyberbullying. Additionally, school bullying, like cyberbullying,
was negatively related to family support for adolescents (10).
Researchers also noted the importance of using evidence-based research
on bullying interventions in schools to inform students better and prevent
cyberbullying (11).
The issue of victimization and cyberbullying in adolescents has been
one of the hot topics in the field of psychiatry and, in the last three years, has been examined by various researchers in different countries (12-17).According to the
studies, behaviours that occurred in adolescence were
the source of people’s problems during childhood.
One of the pathological and destructive behaviours
during childhood is bullying. If childhood and adolescence bullying behaviours are not attended to, they become more violent
and aggressive in the next years (18).Therefore, paying
attention to the issue of cyberbullying and its profound psychological effects
is one of the most critical concerns of the country’s education at present.
It is necessary to conduct more studies at the national level and in
the provinces to solve this cyberbullying crisis. Consequently, the prevalence
and distribution of cyberbullying and its psychological effects can be
determined, and preventive strategies can be identified to avoid the increasing
growth of this harassment. For this aim, this study was conducted on employees’
and clients’ cyber-sacrificed children of Shafa
Educational and Medical Center of Guilan University
of Medical Sciences during the year 1400 (2022-2023), and its increasing
importance in setting current policies was noted.
Materials and Methods
The present study consisted of a clinical and
cross-secctional trial . The
statistical population included adolescents aged 12 to 18 years whose parents
were employees of or referrals to Shafa Medical
Center of Guilan University of Medical Sciences. The
participants were selected since they were available and eligible for
admission. The sample size required for this study was estimated to be 233
people.
The data was collected using an online
questionnaire. The questionnaire included patient information and a
cyberbullying victim experience questionnaire. First, parents were informed
about the research process, goals, and possible consequences of the problem.
Then, after obtaining consent to participate in the study, parents were asked
to participate in an online questionnaire, which included demographic and
bullying and cyberbullying questions.
Subsequently, a safe environment was provided for
their children and the parents were reassured that their children won’t be
harmed. If the child was present, the adolescents were provided additional
information about their previous access to cyberspace. However, if the
adolescents had previous mental illness in the past that they received the
treatment they were excluded from the study.
After completing the re-processing, the
individuals were assured that the information obtained would remain completely
confidential. Besides, they were told there was no need to mention the person’s
name, address, or telephone number in the questionnaire. In addition, if the
participants thought they had any problems regarding cyberbullying, they were
referred to the counsellors and specialists of the Child and Adolescent
Psychiatric Clinic of Shafa Hospital.
Measures
The Cyberbullying Victim Experience Questionnaire (CBVEQ) was designed
and validated by Antoniadou et al. (2016) to assess the cyberbullying
experience among adolescents. The scoring method of this questionnaire was in
the form of a 5-point Likert scale (1 = never, 2 = once or twice, 3 =
sometimes, 4 = most of the time, 5 = every day). This questionnaire had two
factors: 1 is the cyber victim factor, 2 is the cyberbullying factor, and each
factor had 12 questions (19).
In a study conducted in Iran,
Cronbach’s alpha coefficient of this scale for cyberbullying, cyber victim, and
the whole scale were reported to be 0.75, 0.78, and 0.79, respectively (20).
Statistical Analysis
Statistical analyses were presented
cross-sectionally. Using the Kolmogorov-Smirnov test, it was found that the
scores obtained in the field of victimization and cyberbullying from the CBVEQ
questionnaire did not have a normal distribution (P = 0.001). Therefore, Mann
Whitney U and Kruskal Wallis tests were used for examining the variables.
Besides, a regression model was used to investigate the relationship between
independent factors and dependent factors of the study. All data were analyzed
in SPSS 26 software, and a significant level below 0.05 is acceptable.
Results
Findings showed that about 75% of the parents of the studied adolescents
had a diploma to a bachelor’s degree (Table 1).
Table 1. Personal characteristics of the participants.
Variable |
Situation |
Number |
Gender |
Boy |
117
(46.1%) |
Girl |
137(53.9%) |
|
Age |
12-14 |
115(45.3%) |
15-18 |
139(54.7%) |
|
(Age) Mean ± SD ( min-max ) |
14/85±1/82(12-18) |
|
Mothers education |
Unlettered |
12(4.7%) |
Primary education |
1(0.4%) |
|
High school |
38(15%) |
|
Diploma |
101(39.8%) |
|
Associates degree |
17(6.7%) |
|
Bachelors degree |
69(27.2%) |
|
Masters degree |
9(3.5%) |
|
Doctorate |
7(2.8%) |
|
Fathers education |
unlettered |
3(1.2%) |
Primary education |
4(1.6%) |
|
High school |
21(8.3%) |
|
Diploma |
77(30,3) |
|
Associates degree |
22(8.7%) |
|
Bachelors degree |
92(36.2%) |
|
Masters degree |
23(9.1%) |
|
Doctorate |
12(4.7%) |
Based on the CBVEQ questionnaire, the scores of
the victimization and cyberbullying factors were examined. The results showed
that adolescents’ average internet victimization score was 22.79. Moreover, in
cyberbullying, the score was 20.27 (Table 2).
Table 2. Cyber victim and cyberbullying factors obtained from the CBVEQ
questionnaire.
Factor |
Number |
Range of achievable points |
Mean ± SD |
Minimum points earned |
Maximum points earned |
Cyber victim |
254 |
12-60 |
22/79±8/42 |
12 |
52 |
Cyberbullying |
254 |
12-60 |
20/27±8/88 |
12 |
54 |
Using the Mann-Whitney U test, it was determined that there is a
statistically significant difference between the scores obtained in the Cyber victimization according
to gender(P=0.019). According to our study, boys had more cyber victimization
than girls.
It was also found that there is no statistically significant difference
between the scores obtained in the area of cyber victimization from the CBVEQ
questionnaire according to the age groups of children and adolescents under
investigation (P=0.093). Adolescents between the ages of 15 and 18 have been
cyber victimization little more.
Using the Kruskal Wallis test, it was determined that there is a
statistically significant difference between the scores obtained in cyber
victimization, according to the education of the mothers (P=0.0001). It was
also determined that there is a statistically significant difference among the
points obtained in the cyber victimization, according to the education of the
fathers, it can be seen (P=0.0001).
Adolescents whose parents had illiterate/primary education have been
bullied more than other adolescents. Also, teenagers whose parents had
master's/doctorate degrees have been victims less than others. (Table 3).
Table 3. Comparison of the points obtained in cyber victimization, according to
some individual characteristics.
P value |
Mean ± SD |
Number |
Situation |
Variable |
P=0.019 |
9.11±24.3 |
117 |
Boy |
Gender |
7.58±21.51 |
137 |
Girl |
||
P=0.093 |
7.77±21.67 |
115 |
12-14 year |
Age (year) |
8.84±23.72 |
139 |
15-18 year |
||
P=0.0001 |
7.2±27.61 |
13 |
Illiterate/elementary |
Mother's education |
8.53±24.44 |
139 |
Sub Diploma /
Diploma |
||
7.47±20.3 |
86 |
Associate /
Bachelor |
||
7.92±18 |
16 |
Master's degree/ Ph.D |
||
P=0.0001 |
13.08±31.28 |
7 |
illiterate/elementary |
Father's education |
8.22±24.69 |
98 |
Sub Diploma /
Diploma |
||
8.1±21.72 |
114 |
Associate /
Bachelor |
||
6.64±19.28 |
35 |
Master's degree/ Ph.D |
Using the Kolmogorov-Smirnov test, it was determined that the data on
cyberbullying does not have a normal distribution (P=0.001).
Using the Mann-Whitney U test, it was determined that there is no
statistically significant difference between the scores of cyberbullying,
according to gender (P=0.732). The amount of cyberbullying in girls and boys
was not much different.
It was also found that there is a statistically significant difference
between the scores of cyberbullying, according to age (P=0.004). Teenagers in
the age group of 15 to 18 years were more likely to commit cyberbullying.
Using the Kruskal Wallis test, it was found that there is a
statistically significant difference between the scores of cyberbullying,
according to the education of the mothers of the investigated children
(P=0.001). It was also found that there is a statistically significant
difference between the points of cyberbullying can be seen according to the
education of the fathers (P=0.028).
Adolescents whose mothers had illiterate/primary education have
committed cyberbullying more than others. On the other hand, adolescents whose
mothers had a master's/doctorate degree did not necessarily bully less than
others.
Adolescents whose fathers had a sub diploma/diploma have committed
cyberbullying more than others (Table 4).
Table 4. Comparison of the points obtained in cyberbullying, according to some
individual characteristics.
P value |
Mean ± SD |
Number |
Situation |
Variable |
P=0.732 |
8.55±20.11 |
117 |
Boy |
Gender |
9.18±20.4 |
137 |
Girl |
||
P=0.004 |
7.48±18.32 |
115 |
12-14 year |
Age (year) |
9.62±21.89 |
139 |
15-18 year |
||
P=0.001 |
9.76±27.61 |
13 |
Illiterate/elementary |
Mother's education |
9.14±21.35 |
139 |
Sub Diploma /
Diploma |
||
7.43±17.94 |
86 |
Associate /
Bachelor |
||
10.78±20.31 |
16 |
Master's degree/ Ph.D |
||
P=0.028 |
8.42±17 |
7 |
illiterate/elementary |
Father's education |
9.64±22.53 |
98 |
Sub Diploma /
Diploma |
||
6.98±18.57 |
114 |
Associate /
Bachelor |
||
10.97±20.17 |
35 |
Master's degree/ Ph.D |
In addition, the Spearman Rho correlation coefficient was used. This
evaluation showed a positive correlation between the scores of internet
victimization and bullying in male children (P = 0.0001). The finding conveyed
that in male children, the increase or decrease of scores in cyberbullying was
correlated with the increase or decrease of the scores from internet
victimization.
Furthermore, a positive correlation was found between internet
victimization and cyberbullying scores (P = 0.0001) in female children, using
the Spearman Rho correlation coefficient. This finding signified that the
increase or decrease in cyberbullying scores was correlated with the increase
or decrease in internet victimization scores in female children (Table 5).
Table 5. Correlation between the scores of Internet victimization and Internet
bullying by gender of adolescents 12 to 18 years.
Gender |
Variable |
|
Points earned in cyber victimization |
Boy |
Points earned in
internet bullying |
Spearman Rho |
0/337 |
P-Value |
P=0/0001 |
||
Type of
correlation |
Positive
correlation |
||
Girl |
Points earned in
internet bullying |
Spearman Rho |
0/439 |
P-Value |
P=0/0001 |
||
Type of
correlation |
Positive
correlation |
Discussion
The current study investigated the involvement of adolescents aged 12
to 18 in being bullied and internet victims (through the CBVEQ questionnaire)
in Guilan province. This study was one of the first
on the frequency and extent of adolescent involvement in cyberbullying in Guilan. Therefore, there was no previous background to
compare the findings of this study. However, the results of this study can be
compared with future research.
The present study showed that the mean scores of the adolescents were
22.79 in the internet victimization field and 20.27 in the field of internet
bullying. The scores reflected a relatively high rate of conflict. The
differences between the results of the studies can mostly be related to
different methods and tools used to determine the prevalence and involvement of
adolescents in cyberbullying.
In li study’s the demographic variables,
gender and school scores were closely related to cyberbullying. In particular,
male students had a higher rate of cyberbullying than female students(22). In addition, according to Goa’s research(2016), male students were
more likely than female students to commit cybercrime, which is consistent with
the current study’s results (23).
The present paper’s results showed no significant difference between
girls and boys regarding cyberbullying. This finding was consistent with the
study by Agnes Zsila et al. (2018). However, in Zsila’s study, there was no significant gender difference,
even in the case of cyberbullying victims. In the current study, boys were more
likely than girls to be victims of cyberbullying. The reason for this
difference can be the different cultural contexts of countries, differences in
friendship groups and intimacy of girls’ relationships, and the extent of
adolescents’ involvement with social spaces (24).
This study showed that cyberbullying in teenagers aged 15 to 18 is
higher than among teenagers in lower age groups. The rate of cyber
victimization in bullying was also higher in the same age group, but there was
no significant difference. This finding is consistent with the study of Ding et
al. who reported that
older students are less likely to be victims of cyberbullying,
there was no correlation. In our study, both cyberbullying and cyber
victimization increased with age; The reason for this difference can be
attributed to the level of parental support at a younger age in different
societies, dependence on friends at a younger age, and the role of empathic
relationships in friendships, younger teenagers being more vulnerable, hours of
using cyberspace which naturally the higher it is, the more it is and the type
of virtual groups that older teenagers participate in. In other words, older
teenagers have more courage to do this and parental supervision is less (25).
On the other hand, the findings showed that a higher level of parents’
education resulted in a lower rate of internet victimization in adolescents.
Moreover, the adolescents whose parents were illiterate or had primary
education were more vulnerable to cyberbullying. Internet bullying was also
reported more in adolescents whose mothers had primary education. These
findings were consistent with a study by Camerini et
al. (2020) reported in a systematic review. Camerini
et al. (2020) showed that family social support and parental attachment reduced
the risk of bullying and cyberbullying. The more accurate and comprehensive the
control and supervision of the family, the greater the empathy between family
members (4).
Besides, another critical finding in this study was that the rate of
scores was relatively high for cyberbullying in adolescents whose parents had a
master’s/doctoral degree. This finding could indicate that parents who spent
more time outside the home and interacted less with their children provided the
space for teens to have more access to cyberspace. Especially mothers could
have a significant impact on adolescents’ skills in their social relationships.
This impact is because mothers are usually considered the moral role models of
their children in Iran, and there is a deep dependence between mother and
child. In other words, the finding demonstrated that the less interaction
between the family members, the more alone time adolescents spend in
cyberspace.
As empathy and love at home diminish, children increasingly try to hide
their problems from their parents. As a result, they would try to cope with
these psychological stresses on their own by turning to high-risk groups.
However, the more they work in these groups, the more psychological tensions
overwhelm them.
In addition, this study found that an increase or decrease in
cyberbullying was associated with an increase or decrease in cyber victimization.
In traditional societies, a bully is considered a strong and valuable person.
Even the victims, who have tasted the harassment and violence of the social
space, try to become a bully themselves after a while to feel more socially
accepted by gaining the support and attention of others.
The cyber bullies in traditional societies try to align more people
with themselves by gathering fans in cyberspace. On the other hand, adolescents
who were victims usually try to hide the violence and refuse to inform parents
and teachers in schools. Thus, the necessary legal and social prosecution is
not employed for a bully. Consequently, this cycle continues into adulthood and
involves more and more people. Bullies continue to operate through physical,
verbal, and psychological violence in such a society. Besides, victims suffer
extreme stress and anxiety, social isolation, and severe psychological damage
by concealing their problems.
Conclusions
The findings of this study and the extent of adolescents’
involvement with cyberbullying and victimization suggest that the authorities
need more effective measures to adopt preventive strategies and interventions
for parents and schools. To better formulate preventive cyberbullying and
victimization measures, we need to consider all the factors mentioned in this
study for designing an interactive model.
Author contribution
All the authors of this article researched the subject with
intellectual participation, wrote the manuscript, and approved the final
manuscript.
Acknowledgments
The authors would like to thank the staff of the Shafa
Medical Center of Guilan University of Medical
Sciences who helped us in this study, and we would like to thank Guilan University of Medical Sciences.
Conflict of interest
The authors of this study have no conflicts of interest to declare.
Statement of Ethics
All methods and procedures were approved by the Animal Care and Use
Committee of Guilan University of Medical Sciences,
with code IR.GUMS.REC.1400.199
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