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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-4-72131-en.html
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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
* 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)
Abstract   (2058 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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