Volume 12, Issue 1 (2024)                   Health Educ Health Promot 2024, 12(1): 31-36 | Back to browse issues page

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Ruiz-Guaranda E, Saavedra-López M, Calle-Ramírez X, Hernández R, Ezcurra-Zavaleta G, Rojas-Pisfil M et al . Cyber Victimization and Depression in High School Students in Northern Peru. Health Educ Health Promot 2024; 12 (1) :31-36
URL: http://hehp.modares.ac.ir/article-5-72131-en.html
1- Department of Psychology, Faculty of Social Sciences, National University of Tumbes, Tumbes, Perú
2- Research Department, Norbert Wiener Private University, Lima, Perú
3- Department of Administration, Faculty of Economic Sciences, National University of Tumbes, Tumbes, Perú
Abstract:   (549 Views)
Aims: Cyber victimization can generate a series of negative effects on the mental, physical, and social health of those affected, triggering anxiety, depression, and other emotional problems. The aim of the study was to determine the relationship between cyber victimization and depression in high school students in the province of Tumbes, located in northern Peru.
Instrument & Methods: The sample of this non-experimental, cross-sectional, and quantitative study consisted of 372 high school students between 11 and 18 years of age. The Cyber Victimization Questionnaire (CBV) was used as an instrument, obtaining a Cronbach's Alpha reliability of 0.902 in a pilot test. The Beck Depression Inventory-II was also used, with a Cronbach's Alpha reliability of 0.921.
Findings: Using Spearman's Rho correlation method, there was a significant and positive relationship between cyber victimization and depression (two-sided p-value=0.0001). Likewise, the linear regression model showed that cyber victimization was a significant predictor of depression to a degree of 32.2% (R2=0.322; p-value =0.0001).
Conclusion: Cyber victimization is significantly related to and predictive of depression.
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Article Type: Descriptive & Survey | Subject: Health Education and Health Behavior
Received: 2023/10/26 | Accepted: 2023/12/12 | Published: 2024/01/6
* Corresponding Author Address: Elky J. Ruiz-Guaranda, National University of Tumbes, Av. University S/N Pampa Grande Town Center, Tumbes, Perú. Postal Code: 24000 (elkyruiz943@gmail.com)

1. DataReportal. Global Overview Report. Singapore: DataReportal. 2023- [cited 26 January, 2023]. Available from: https://datareportal.com/reports/digital-2023-global-overview-report [Link]
2. Derevensky JL, Hayman V, Lynette G. Behavioral addictions. Pediatr Clin North Am. 2019;66(6):1163-82. [Link] [DOI:10.1016/j.pcl.2019.08.008]
3. Duke É, Monta C. Smartphone addiction, daily interruptions and self-reported productivity. Addict Behav Rep. 2017;6:90-5. [Link] [DOI:10.1016/j.abrep.2017.07.002]
4. Gonçalves S, Dias P, Correia AP. Nomophobia and lifestyle: Smartphone use and its relationship to psychopathologies. Comput Hum Behav. 2020;2:100025. [Link] [DOI:10.1016/j.chbr.2020.100025]
5. Lozano-Blasco R, Quilez-Robres A, Rodriguez-Araya R, Casanovas-López R. Addiction to new technologies and cyberbullying in the costa rican context. Educ Sci. 2020;12(12):876. [Link] [DOI:10.3390/educsci12120876]
6. Rodríguez-Enríquez M, Bennasar-Veny M, Leiva A, Garaigordobil M, Yañez AM. Cybervictimization among secondary students: Social networking time, personality traits and parental education. BMC Public Health. 2019;19(1):1499. [Link] [DOI:10.1186/s12889-019-7876-9]
7. MacDonald CD, Roberts-Pittman B. Cyberbullying among college students: Prevalence and demographic differences. Procedia Soc Behav Sci. 2010;9:2003-9. [Link] [DOI:10.1016/j.sbspro.2010.12.436]
8. Hutson E. Cyberbullying in Adolescence. ANS Adv Nurs Sci. 2016;39(1):60-70. [Link] [DOI:10.1097/ANS.0000000000000104]
9. Peter IK, Petermann F. Cyberbullying: A concept analysis of defining attributes and additional influencing factors. Comput Hum Behav. 2018;86:350-66. [Link] [DOI:10.1016/j.chb.2018.05.013]
10. Alhujailli A, Karwowski W. Emotional and Stress Responses to Cyberbullying. Adv Design Incl. 2019;776:33-43. [Link] [DOI:10.1007/978-3-319-94622-1_4]
11. Larzabal-Fernández A, Ramos-Noboa MI, Hong AE. Cyberbullying and its relationship with perceived stress in high school students in the province of Tungurahua. Ciencias Psicol. 2019;13(1):150-7. [Link] [DOI:10.22235/cp.v13i1.1816]
12. Lee MHL, Kaur M, Shaker V, Yee A, Sham R, Siau CS, . Cyberbullying, social media addiction and associations with depression, anxiety, and stress among medical students in Malaysia. Int J Environ Res Public Health. 2023;20(4):3136. [Link] [DOI:10.3390/ijerph20043136]
13. Brewer G, Kerslake J. Cyberbullying, self-esteem, empathy and loneliness. Comput Hum Behav. 2015;48:255-60. [Link] [DOI:10.1016/j.chb.2015.01.073]
14. Cénat JM, Hébert M, Blais M, Lavoie F, Guerrier M, Derivois D. Cyberbullying, psychological distress and self-esteem among youth in Quebec schools. J Affect Disord. 2014;169:7-9. [Link] [DOI:10.1016/j.jad.2014.07.019]
15. Marco JH, Tormo-Irun MP, Galán-Escalante A, Gonzalez-García C. Is cybervictimization associated with body dissatisfaction, depression, and eating disorder psychopathology?. Cyberpsychol Behav Soc Netw. 2018;21(10):611-7. [Link] [DOI:10.1089/cyber.2018.0217]
16. Lei H, Mao W, Cheong CM, Wen Y, Cui Y, Cai Z. The relationship between self-esteem and cyberbullying: A meta-analysis of children and youth students. Curr Psychol. 2020;39(3):830-42. [Link] [DOI:10.1007/s12144-019-00407-6]
17. Nagata JM, Yang JH, Singh G, Kiss O, Ganson KT, Testa A, et al. Cyberbullying and sleep disturbance among early adolescents in the U.S. Acad Pediatr. 2022;23(6):1220-5. [Link] [DOI:10.1016/j.acap.2022.12.007]
18. Schneider SK, O'Donnell L, Stueve A, Coulter RWS. Cyberbullying, school bullying, and psychological distress: A regional census of high school students. Am J Public Health. 2012;102(1):171-7. [Link] [DOI:10.2105/AJPH.2011.300308]
19. Kanwal H, Jami H. Exploring modes, strategies, and psychosocial consequences of cyberbullying perpetration and victimization among university students. Pak J Psychol Res. 2020;34(4):787-817. [Link] [DOI:10.33824/PJPR.2019.34.4.43]
20. Resnik F, Bellmore A. Connecting online and offline social skills to adolescents' peer victimization and psychological adjustment. J Youth Adolesc. 2019;48(2):386-98. [Link] [DOI:10.1007/s10964-018-0953-z]
21. 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. [Link] [DOI:10.1016/j.jad.2019.05.061]
22. Zhang D, Huebner ES, Tian L. Longitudinal associations among neuroticism, depression, and cyberbullying in early adolescents. Comput Hum Behav. 2020;112:106475. [Link] [DOI:10.1016/j.chb.2020.106475]
23. Medrano JLJ, Lopez Rosales F, Gámez-Guadix M. Assessing the links of sexting, cybervictimization, depression, and suicidal ideation among university students. Arch Suicide Res. 2018;22(1):153-64. [Link] [DOI:10.1080/13811118.2017.1304304]
24. Tennant JE, Demaray MK, Coyle S, Malecki CK. The dangers of the web: Cybervictimization, depression, and social support in college students. Comput Hum Behav. 2015;50:348-57. [Link] [DOI:10.1016/j.chb.2015.04.014]
25. Wang Z, Xie Q, Xin M, Wei C, Yu C, Zhen S, et al. Cybervictimization, depression, and adolescent internet addiction: The moderating effect of prosocial peer affiliation. Front Psychol. 2020; 11. [Link] [DOI:10.3389/fpsyg.2020.572486]
26. Cole DA, Zelkowit RL, Nick E, Martin NC, Roeder KM, Sinclair-McBride K, et al. Longitudinal and incremental relation of cybervictimization to negative self-cognitions and depressive symptoms in young adolescents. J Abnorm Child Psychol. 2016;44(7):1321-32. [Link] [DOI:10.1007/s10802-015-0123-7]
27. Landoll RR, La Greca AM, Lai BS, Chan SF, Herge WM. Cyber victimization by peers: Prospective associations with adolescent social anxiety and depressive symptoms. J Adolesc. 2015;42,77-86. [Link] [DOI:10.1016/j.adolescence.2015.04.002]
28. Tee XY, Siah PC, Lokithasan KA. The relationships between cybervictimization and depression among adolescents: A scoping review based on Scopus database. Vulnerable Child Youth Stud, 2023;18(3):367-81. [Link] [DOI:10.1080/17450128.2022.2147623]
29. Gao L, Liu J, Yang J, Wang X. Longitudinal relationships among cybervictimization, peer pressure, and adolescents' depressive symptoms. J Affect Disord. 2021;286:1-9. [Link] [DOI:10.1016/j.jad.2021.02.049]
30. Genoveva C, Huamaní A. Adolescence, cyberbullying and depression, risks in a globalized world. Revista Científica Electrónica de Educación y Comunicación En La Sociedad Del Conocimiento. 2019;19(1):210-34. [Link] [DOI:10.30827/eticanet.v19i1.11867]
31. Gonzales BRV. Impact of cyberbullying on depression in university students in the district of Lima. HAMUT'AY. 2021;8(3):15-31. [Link] [DOI:10.21503/hamu.v8i3.2325]
32. Hernández-Sampieri R, Mendoza C. Metodología de la investigación. New York: Editorial Mc Graw Hill Education; 2018. [Spanish] [Link]
33. Fisher L, Navarro A. Introducción a la investigación de mercados. México: La Paz Academic Headquarters; 1996. [Spanish] [Link]
34. Hernández RM, Saavedra-López M, Calle-Ramirez X, Cjuno J, Escobedo F. Latin American scientific production on mental health in times of Covid-19. Asian J Psychiatr. 2021;65: 102856. [Link] [DOI:10.1016/j.ajp.2021.102856]
35. Saavedra-López MA, Hernández RM, Ortega-Pauta BI, Barreto M, Calle-Ramírez XM, Vicuña-Peri, LA. Depression in Ibero-America in the COVID-19 context: An analysis of scientific production in Scopus. Arch Venezolanos de Farmacol Terapeutica. 2022;41(1):64-70. [Link]
36. Albikawi ZF. Anxiety, depression, self-esteem, internet addiction and predictors of cyberbullying and cybervictimization among female nursing university students: A cross sectional study. Int J Environ Res Public Health. 2023;20(5):4293. [Link] [DOI:10.3390/ijerph20054293]
37. Wright MF. Cyber victimization on college campuses: Longitudinal associations with suicidal ideation, depression, and anxiety. Int Crim Justice Rev. 2016;41(2):190-203. [Link] [DOI:10.1177/0734016816634785]
38. Prihadi K, Hui YL, Chua M, Chang CK. Cyber-victimization and perceived depression: serial mediation of self-esteem and learned-helplessness. Int J Eval Res Educ. 2019;8(4):563-74. [Link] [DOI:10.11591/ijere.v8i4.20266]
39. Thapar A, Eyre O, Patel V, Brent D. Depression in young people. Lancet. 2022;400(10352):617-31. [Link] [DOI:10.1016/S0140-6736(22)01012-1]
40. Zaraza Morales DR, Contreras Moreno JR. The mental health recovery model and its relevance to Colombian nursing. Rev Colomb Psiquiatr. 2020;49(4):305-10. [Link] [DOI:10.1016/j.rcpeng.2018.10.007]
41. Alguera-Lara V, Dowsey MM, Ride J, Kinder S, Castle D. Shared decision making in mental health: The importance for current clinical practice. Australas Psychiatr. 2017;25(6):578-82. [Link] [DOI:10.1177/1039856217734711]
42. Islam MS, Rahman ME, Moonajilin MS, van Os J. Prevalence of depression, anxiety and associated factors among school going adolescents in Bangladesh: Findings from a cross-sectional study. PloS One. 2021;16(4):e0247898. [Link] [DOI:10.1371/journal.pone.0247898]
43. Bhattarai D, Shrestha N, Paudel S. Prevalence and factors associated with depression among higher secondary school adolescents of Pokhara Metropolitan, Nepal: A cross-sectional study. BMJ Open. 2020;10(12):e044042. [Link] [DOI:10.1136/bmjopen-2020-044042]
44. Chekol AT, Wale MA, Abate AW, Beo EA, Said EA, Negash BT. Predictors of depression among school adolescents in Northwest, Ethiopia, 2022: institutional based cross-sectional. BMC Psychiatry. 2023;23(1):429. [Link] [DOI:10.1186/s12888-023-04899-2]
45. Tang WC, Lin MP, You J, Wu JYW, Chen, KC. Prevalence and psychosocial risk factors of nonsuicidal self-injury among adolescents during the COVID-19 outbreak. Curr Psychol. 2023;42(20):17270-9. [Link] [DOI:10.1007/s12144-021-01931-0]
46. Shafi RM, Nakonezny PA, Miller KA, Desai J, Almorsy AG, Ligezka AN, et al. Altered markers of stress in depressed adolescents after acute social media use. J Psychiatr Res. 2021;136:149-56. [Link] [DOI:10.1016/j.jpsychires.2021.01.055]
47. Jensen ML, Carpentier FRD, Corvalán C, Popkin BM, Evenson KR, Adair L, et al. Television viewing and using screens while eating: Associations with dietary intake in children and adolescents. Appetite, 2022;168:105670. [Link] [DOI:10.1016/j.appet.2021.105670]
48. Schunk F, Zeh F, Trommsdorff G. Cybervictimization and well-being among adolescents during the COVID-19 pandemic: The mediating roles of emotional self-efficacy and emotion regulation. Comput Hum Behav. 2020;126:107035. [Link] [DOI:10.1016/j.chb.2021.107035]
49. Alrajeh SM, Hassan HM, Al-Ahmed AS, Alsayed Hassan D. An investigation of the relationship between cyberbullying, cybervictimization and depression symptoms: A cross sectional study among university students in Qatar. PloS one. 2021;16(12):e0260263. [Link] [DOI:10.1371/journal.pone.0260263]
50. Tran HGN, Thai TTT, Dang NTT, Vo DK, Duong MHT. Cyber-victimization and its effect on depression in adolescents: A systematic review and meta-analysis. Trauma, Violence Abuse. 2023;24(2):1124-39. [Link] [DOI:10.1177/15248380211050597]
51. Barrera-Mesa C, Caro-Caro E, Rey-Alamillo R. Victims of cyberviolence: forms, prevalence and gender differences. J Res Dev Innovation, 2022;12(2):239-50. [Link] [DOI:10.19053/20278306.v12.n2.2022.15268]

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