The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic †
Abstract
:1. Introduction
- There was a significant association between the cyberbullying training experience and the likelihood of individuals helping a friend who had been cyberbullied.
- There was a significant association between cyberbullying training experience and depression.
- There was a significant association between gender and depression.
2. Methodology
3. Results
3.1. Descriptive Statistics
3.2. Hypotheses Testing
4. Discussion
Implications
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- López-Bueno, R.; López-Sánchez, G.F.; Casajús, J.A.; Calatayud, J.; Tully, M.A.; Smith, L. Potential health-related behaviors for pre-school and school-aged children during COVID-19 lockdown: A narrative review. Prev Med. 2021, 143, 106349. [Google Scholar] [CrossRef] [PubMed]
- Hussain, W. Role of social media in COVID-19 pandemic. Int. J. Front. Sci. 2020, 4, 59–60. [Google Scholar] [CrossRef]
- Nguyen, L.H.; Drew, D.A.; Graham, M.S.; Joshi, A.D.; Guo, C.-G.; Ma, W.; Mehta, R.S.; Warner, E.T.; Sikavi, D.R.; Lo, C.-H.; et al. Risk of COVID-19 among front-line health-care workers and the general community: A prospective cohort study. Lancet Public Health 2020, 5, e475–e483. [Google Scholar] [CrossRef]
- Hinduja, S.; Patchin, J.W. Bullying, cyberbullying, and suicide. Arch. Suicide Res. 2010, 14, 206–221. [Google Scholar] [CrossRef]
- Chan, N.; Ahrumugam, P.; Scheithauer, H.; Schultze-Krumbholz, A.; Ooi, P.B. A hermeneutic phenomenological study of students’ and school counsellors’ “lived experiences” of cyberbullying and bullying. Comput. Educ. 2020, 146, 103755. [Google Scholar] [CrossRef]
- Smith, P.K. School bullying. Sociol. Probl. E Práticas 2013, 71, 81–98. [Google Scholar] [CrossRef]
- Alsawalqa, R.O. Cyberbullying, social stigma, and self-esteem: The impact of COVID-19 on students from East and Southeast Asia at the University of Jordan. Heliyon 2021, 7, e06711. [Google Scholar] [CrossRef]
- Fore, H.H. Violence against children in the time of COVID-19: What we have learned, what remains unknown and the opportunities that lie ahead. Child Abus. Negl. 2021, 116, 104776. [Google Scholar] [CrossRef] [PubMed]
- Han, Z.; Wang, Z.; Li, Y. Cyberbullying involvement, resilient coping, and loneliness of adolescents during COVID-19 in rural China. Front. Psychol. 2021, 12, 664612. [Google Scholar] [CrossRef]
- Wang, W.; Xie, X.; Wang, X.; Lei, L.; Hu, Q.; Jiang, S. Cyberbullying and depression among chinese college students: A moderated mediation model of social anxiety and neuroticism. J. Affect. Disord. 2019, 256, 54–61. [Google Scholar] [CrossRef]
- Hase, C.N.; Goldberg, S.B.; Smith, D.; Stuck, A.; Campain, J. Impacts of traditional bullying and cyberbullying on the mental health of the middle school and high school students. Psychol. Sch. 2015, 52, 607–617. [Google Scholar] [CrossRef]
- Wright, M.; Wachs, S.; Harper, B. The moderation of empathy in the longitudinal association between witnessing cyberbullying, depression, and anxiety. Cyberpsychology: J. Psychosoc. Res. Cyberspace 2018, 12, 6. [Google Scholar] [CrossRef] [Green Version]
- Limone, P.; Toto, G.A. Psychological and emotional effects of digital technology on children in COVID-19 pandemic. Brain Sci. 2021, 11, 1126. [Google Scholar] [CrossRef] [PubMed]
- Schultze-Krumbholz, A.; Zagorscak, P.; Scheithauer, H. 11—A school-based cyberbullying preventive intervention approach: The Media Heroes program *. In Reducing Cyberbullying in Schools; Campbell, M., Bauman, S., Eds.; Academic Press: Cambridge, MA, USA, 2018; pp. 145–158. [Google Scholar]
- Pieschl, S.; Urbasik, S. Does the cyber bullying prevention program surf-fair work? An evaluation study. In From Cyber Bullying to Cyber Safety: Issues and Approaches in Educational Contexts; Hanewald, R., Ed.; Nova Science Publishers: Hauppauge, NY, USA, 2013; pp. 205–224. [Google Scholar]
- Ortega Ruiz, R.; Rey Alamillo, R.D.; Casas Bolaños, J.A. Knowing, building and living together on internet and social networks: The ConRed cyberbullying prevention program. Int. J. Confl. Violence 2012, 6, 302–312. [Google Scholar] [CrossRef]
- Palladino, B.E.; Nocentini, A.; Menesini, E. Evidence-based intervention against bullying and cyberbullying: Evaluation of the NoTrap! program in two independent trials. Aggress. Behav. 2016, 42, 194–206. [Google Scholar] [CrossRef]
- Salmivalli, C.; Kärnä, A.; Poskiparta, E. Counteracting bullying in Finland: The KiVa program and its effects on different forms of being bullied. Int. J. Behav. Dev. 2011, 35, 405–411. [Google Scholar] [CrossRef]
- Salvatore, A.J. An Anti-Bullying Strategy: Action Research in a 5/6 Intermediate School. Ph.D. Thesis, University of Hartford, West Hartford, CT, USA, 2006. [Google Scholar]
- Malaysia Is 2nd in Asia for Youth Cyberbullying 2022. Available online: https://www.thestar.com.my/news/nation/2022/01/14/malaysia-is-2nd-in-asia-for-youth-cyberbullying (accessed on 18 May 2022).
- Gaffney, H.; Farrington, D.P.; Espelage, D.L.; Ttofi, M.M. Are cyberbullying intervention and prevention programs effective? A systematic and meta-analytical review. Aggress. Violent Behav. 2019, 45, 134–153. [Google Scholar] [CrossRef]
- Lovibond, P.F.; Lovibond, S.H. The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the beck depression and anxiety inventories. Behav. Res. Ther. 1995, 33, 335–343. [Google Scholar] [CrossRef]
- IBM Corp. IBM SPSS Statistics for Windows, Version 26.0; IBM Corp.: Armonk, NY, USA, 2019. [Google Scholar]
- Liu, C.-H.; Yin, X.-R.; Huang, P.-S. Cyberbullying: Effect of emergency perception on the helping tendencies of bystanders. Telemat. Inform. 2021, 62, 101627. [Google Scholar] [CrossRef]
- Haddock, A.D.; Jimerson, S.R. An examination of differences in moral disengagement and empathy among bullying participant groups. J. Relatsh. Res. 2017, 8, e15. [Google Scholar] [CrossRef]
- Lambe, L.J.; Cioppa, V.D.; Hong, I.K.; Craig, W.M. Standing up to bullying: A social ecological review of peer defending in offline and online contexts. Aggress. Violent Behav. 2019, 45, 51–74. [Google Scholar] [CrossRef]
- Zych, I.; Ttofi, M.M.; Farrington, D.P. Empathy and callous–unemotional traits in different bullying roles: A systematic review and meta-analysis. Trauma Violence Abus. 2016, 20, 3–21. [Google Scholar] [CrossRef] [PubMed]
- Hutson, E.; Kelly, S.; Militello, L.K. Systematic review of cyberbullying interventions for youth and parents with implications for evidence-based practice. Worldviews Evid. Based Nurs. 2018, 15, 72–79. [Google Scholar] [CrossRef] [PubMed]
- Toi, M.; Batson, C.D. More evidence that empathy is a source of altruistic motivation. J. Personal. Soc. Psychol. 1982, 43, 281–292. [Google Scholar] [CrossRef]
- Marzo, R.R.; Vinay, V.; Bahari, R.; Chauhan, S.; Ming, D.A.F.; Fernandez, S.F.A.N.; Johnson, C.C.P.; Thivakaran, A.Q.A.; Rahman, M.M.; Goel, S. Depression and anxiety in Malaysian population during third wave of the COVID-19 pandemic. Clin. Epidemiol. Glob. Heal. 2021, 12, 100868. [Google Scholar] [CrossRef]
- Xiong, J.; Lipsitz, O.; Nasri, F.; Lui, L.M.W.; Gill, H.; Phan, L.; Chen-Li, D.; Iacobucci, M.; Ho, R.; Majeed, A.; et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J. Affect. Disord. 2020, 277, 55–64. [Google Scholar] [CrossRef]
- Kuehner, C. Why is depression more common among women than among men? Lancet Psychiatry 2017, 4, 146–158. [Google Scholar] [CrossRef]
- Eid, R.S.; Gobinath, A.R.; Galea, L.A.M. Sex differences in depression: Insights from clinical and preclinical studies. Prog. Neurobiol. 2019, 176, 86–102. [Google Scholar] [CrossRef]
- Costa, P.T.; Terracciano, A.; McCrae, R.R. Gender differences in personality traits across cultures: Robust and surprising findings. J. Pers. Soc. Psychol. 2001, 81, 322–331. [Google Scholar] [CrossRef]
- Hakulinen, C.; Elovainio, M.; Pulkki-Råback, L.; Virtanen, M.; Kivimäki, M.; Jokela, M. Personality and depressive symptoms: Individual participation meta-analysis of 10 Cohort Studies. Depress. Anxiety 2015, 32, 461–470. [Google Scholar] [CrossRef]
- Kendler, K.S.; Gardner, C.O. Sex differences in the pathways to major depression: A Study of opposite-sex twin pairs. Am. J. Psychiatry 2014, 171, 426–435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hankin, B.L.; Young, J.F.; Abela, J.R.Z.; Smolen, A.; Jenness, J.L.; Gulley, L.D.; Technow, J.R.; Gottlieb, A.B.; Cohen, J.R.; Oppenheimer, C.W. Depression from childhood into late adolescence: Influence of gender, development, genetic susceptibility, and peer stress. J. Abnorm. Psychol. 2015, 124, 803–816. [Google Scholar] [CrossRef] [PubMed]
Variables | Mean | Std. Deviation | Skewness | Kurtosis |
---|---|---|---|---|
Depression | 10.92 | 10.127 | 0.775 | <0.000 |
Variables | Frequency (n) | Percentage (%) |
---|---|---|
Gender | ||
Male | 776 | 57.2 |
Female | 580 | 42.8 |
Age | ||
13-15 years old | 786 | 58.0 |
16-18 years old | 570 | 42.0 |
Race | ||
Malay | 337 | 24.9 |
Chinese | 796 | 58.7 |
Indians | 200 | 14.7 |
Others | 23 | 1.7 |
Cyberbullying experience | ||
Yes | 61 | 4.5 |
No | 1121 | 82.7 |
Prefer not to say | 174 | 12.8 |
Previously had been receiving cyberbullying training | ||
Yes | 609 | 44.0 |
No | 747 | 55.1 |
Depression score | ||
Absent | 665 | 49.0 |
Mild | 96 | 7.1 |
Moderate | 358 | 26.4 |
Severe | 131 | 9.7 |
Extremely severe | 106 | 7.8 |
Variables | Previously Had Received Cyberbullying Training | ||
---|---|---|---|
No (%) | Yes (%) | Total | |
How likely would you help a friend who had been cyberbullied | |||
Not likely at all | 33 (4.4) | 7 (1.1) | 40 |
Not very likely | 84 (11.2) | 25 (4.1) | 109 |
I don’t know | 205 (27.4) | 134 (22.0) | 339 |
Somewhat likely | 38 (5.1) | 14 (2.3) | 52 |
Very likely | 387 (51.8) | 429 (70.4) | 816 |
Total | 747 | 609 | 1356 |
Pearson Chi-square | 63.559 | ||
Degree of freedom | 4 | ||
p-value | <0.000 |
Variable | Depression | Nagelkerke R Square | |
---|---|---|---|
OR | 95% C.I. | ||
Gender | 0.067 | ||
Male (Ref) | - | - | |
Female | 2.117 * | (1.084, 4.133) | |
Previously receiving cyberbullying training | |||
No (Ref) | - | - | |
Yes | 0.453 * | (0.239, 0.859) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Pang, K.Y.; Ku, W.L.; Teng, J.H.J.; Lew, R.W.; Ooi, P.B. The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic. Proceedings 2022, 82, 101. https://doi.org/10.3390/proceedings2022082101
Pang KY, Ku WL, Teng JHJ, Lew RW, Ooi PB. The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic. Proceedings. 2022; 82(1):101. https://doi.org/10.3390/proceedings2022082101
Chicago/Turabian StylePang, Khong Yun, Wen Li Ku, Jaclyn Hui Jie Teng, Ren Wen Lew, and Pei Boon Ooi. 2022. "The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic" Proceedings 82, no. 1: 101. https://doi.org/10.3390/proceedings2022082101
APA StylePang, K. Y., Ku, W. L., Teng, J. H. J., Lew, R. W., & Ooi, P. B. (2022). The Relationship between Cyberbullying Training Experience, Gender, and Depression among the Malaysian Adolescents during the COVID-19 Pandemic. Proceedings, 82(1), 101. https://doi.org/10.3390/proceedings2022082101