The Role of Depression in the Effect of Technology-Facilitated Sexual Violence on Suicidal Ideation in Early Adult

https://doi.org/10.22146/jpsi.56058

Salma Ghina Sakinah Safari(1*), Margaretha Margaretha(2)

(1) Faculty of Psychology, Universitas Airlangga
(2) Faculty of Psychology, Universitas Airlangga
(*) Corresponding Author

Abstract


The phenomenon of suicide ideation is a problem that needs to be examined at this time. This study investigates the role of technology-facilitated sexual violence experience and depression on the appearance of suicidal ideation in emerging adults. A quantitative research was conducted on a sample of 322 respondents aged 18–25 years. Three scales were used in this research: the Technology-Facilitated Sexual Violence Victimization Scale is established by Henry & Powell (2014), to measure the respondents’ technology-facilitated sexual violence experiences; Lovibond & Lovibond’s (1995) Depression, Anxiety, Stress Scale to measure the respondents’ depression, anxiety, and stress; and Beck’s (1979) Scale of Suicidal Ideation established to measure the appearance of the respondents’ suicide ideation. The data were analyzed using the statistical correlation test, multivariate linear regression hierarchy, and path analysis. From the results, technology-facilitated sexual violence was found to have a significant effect on suicidal ideation in early adults. Furthermore, it was found that depression partially mediates the relationship between technology-facilitated sexual violence and suicidal ideation in early adults. This study is beneficial to developing a positive internet intervention approach to create more conducive virtual spaces.

Keywords


Technology-Facilitated Sexual Violence; Suicidal Ideation; Depression

Full Text:

PDF


References

Almeida, J., Johnson, R. M., Corliss, H. L., Molnar, B. E., & Azrael, D. (2009). Emotional distress among lgbt youth: The influence of perceived discrimination based on sexual orientation. Journal of Youth and Adolescence, 38(7), 1001–1014. https://doi.org/10.1007/s10964-009-9397-9

APJII. (2018). Penetrasi & Profil Perilaku Pengguna Internet Indonesia. Apjii, 51. www.apjii.or.id

Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist. https://doi.org/10.1037/0003-066X.55.5.469

Arnett, J. J., Žukauskienė, R., & Sugimura, K. (2014). The new life stage of emerging adulthood at ages 18-29 years: implications for mental health. The lancet. Psychiatry, 1(7), 569–576. https://doi.org/10.1016/S2215-0366(14)00080-7

Auerbach, R. P., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., ... & Kessler, R. C. (2018). WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. Journal of abnormal psychology, 127(7), 623.

Barak, A. (2005). Sexual harassment on the internet. Social Science Computer Review, 23(1), 77–92. https://doi.org/10.1177/0894439304271540

Becker, M. W., Alzahabi, R., & Hopwood, C. J. (2013). Media multitasking is associated with symptoms of depression and social anxiety. Cyberpsychology, Behavior, and Social Networking. https://doi.org/10.1089/cyber.2012.0291

Coker, A. L., Davis, K. E., Arias, I., Desai, S., Sanderson, M., Brandt, H. M., & Smith, P. H. (2002). Physical and mental health effects of intimate partner violence for men and women. American Journal of Preventive Medicine. https://doi.org/10.1016/S0749-3797(02)00514-7

De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting depression via social media. Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013.

Hango, D. (2016). Insights on Canadian Society Cyberbullying and cyberstalking among Internet users aged 15 to 29 in Canada. Insights on Canadian Society.

Harrison, C. (2006). Cyberspace and child abuse images: A feminist perspective. Affilia - Journal of Women and Social Work. https://doi.org/10.1177/0086109906292313

Ibrahim, N., Amit, N., & Suen, M. W. Y. (2014). Psychological factors as predictors of suicidal ideation among adolescents in Malaysia. PLoS ONE, 9(10), 7–12. https://doi.org/10.1371/journal.pone.0110670

Irwin, J. A., Coleman, J. D., Fisher, C. M., & Marasco, V. M. (2014). Correlates of Suicide Ideation Among LGBT Nebraskans. Journal of Homosexuality, 61(8), 1172–1191. https://doi.org/10.1080/00918369.2014.872521

Jelenchick, L. A., Eickhoff, J. C., & Moreno, M. A. (2013). Facebook depression? social networking site use and depression in older adolescents. Journal of Adolescent Health. https://doi.org/10.1016/j.jadohealth.2012.05.008

Kim, J., Larose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic internet use: The relationship between internet use and psychological well-being. Cyberpsychology and Behavior. https://doi.org/10.1089/cpb.2008.0327

Landstedt, E., & Persson, S. (2014). Bullying, cyberbullying, and mental health in young people. Scandinavian Journal of Public Health. https://doi.org/10.1177/1403494814525004

Lardier, D. T., Barrios, V. R., Garcia-Reid, P., & Reid, R. J. (2016). Suicidal ideation among suburban adolescents: The influence of school bullying and other mediating risk factors. Journal of Child and Adolescent Mental Health, 28(3), 213–231. https://doi.org/10.2989/17280583.2016.1262381

Mereish, E. H., Ocleirigh, C., & Bradford, J. B. (2014). Interrelationships between LGBT-based victimization, suicide, and substance use problems in a diverse sample of sexual and gender minorities. Psychology, Health and Medicine, 19(1), 1–13. https://doi.org/10.1080/13548506.2013.780129

Moreno, M. A., Jelenchick, L. A., Egan, K. G., Cox, E., Young, H., Gannon, K. E., & Becker, T. (2011). Feeling bad on facebook: Depression disclosures by college students on a social networking site. Depression and Anxiety. https://doi.org/10.1002/da.20805

Nock, M. K., Selby, E., Joiner, T. E., & Ribeiro, J. D. (2014). Comprehensive Theories of Suicidal Behaviors. In The Oxford Handbook of Suicide and Self-Injury. https://doi.org/10.1093/oxfordhb/9780195388565.013.0016

Pantic, I., Damjanovic, A., Todorovic, J., Topalovic, D., Bojovic-Jovic, D., Ristic, S., & Pantic, S. (2012). Association between online social networking and depression in high school students: Behavioral physiology viewpoint. Psychiatria Danubina.

Pashang, S., Khanlou, N., & Clarke, J. (2018). Today’s youth and mental health: Hope, power, and resilience. In INYI Journal. Springer. https://doi.org/10.25071/1929-8471.36

Quayle, E., & Taylor, M. (2002). Paedophiles, Pornography and the Internet: Assessment Issues. In British Journal of Social Work. https://doi.org/10.1093/bjsw/32.7.863

Quayle, E., & Taylor, M. (2006). Young people who sexually abuse: The role of the new technologies. In Children and Young People who Sexually Abuse Others: Current Developments and Practice Responses 2nd Edition. https://doi.org/10.4324/9780203000847-20

Radovic, A., Gmelin, T., Stein, B. D., & Miller, E. (2017). Depressed adolescents’ positive and negative use of social media. Journal of Adolescence. https://doi.org/10.1016/j.adolescence.2016.12.002

Rudd, M. D. (1990). An Integrative Model of Suicidal Ideation. Suicide and Life‐Threatening Behavior, 20(1), 16–30. https://doi.org/10.1111/j.1943-278X.1990.tb00651.x

Sampasa-Kanyinga, H., Roumeliotis, P., & Xu, H. (2014). Associations between cyberbullying and school bullying victimization and suicidal ideation, plans and attempts among Canadian schoolchildren. PLoS ONE, 9(7). https://doi.org/10.1371/journal.pone.0102145

Sadock, B. J., Sadock, V. A., Ruiz, P., & Kaplan, H. I. (2017). Kaplan and Sadock’s comprehensive textbook of psychiatry (10th ed.). Wolters Kluwer.

Santrock, J. (2002). Life-span Development Perkembangan Hidup Jilid 1 Edisi Kelima. Jakarta: Erlangga.

Santrock, J. W. (2006). Life-span development (10th ed.). In Life-span development (10th ed.). http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=psyc5&NEWS=N&AN=2005-12496-000

Schneider, S. K., O’donnell, L., Stueve, A., & Coulter, R. W. S. (2012). Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American Journal of Public Health. https://doi.org/10.2105/AJPH.2011.300308

Shrout, P., & Bolger, N. (2002). Mediation in Experimental and Nonexperimental Studies: New. Psychological Methods. https://doi.org/10.1037//1082-989x.7.4.422

Sinclair, K. O., Bauman, S., Poteat, V. P., Koenig, B., & Russell, S. T. (2012). Cyber and bias-based harassment: Associations with academic, substance use, and mental health problems. Journal of Adolescent Health, 50(5), 521–523. https://doi.org/10.1016/j.jadohealth.2011.09.009

Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents’ well-being and social self-esteem. Cyberpsychology and Behavior. https://doi.org/10.1089/cpb.2006.9.584

West, B. J. (2014). Cyber-Violence Against Women.

World Health Organisation. (2016). Depression: Definition. World Health Organization.

World Health Organization. (2021). Suicide worldwide in 2019: global health estimates.

Zimmerman, A. G., & Ybarra, G. J. (2014). Online aggression: The influences of anonymity and social modeling. Psychology of Popular Media Culture, 5(2), 181–193. https://doi.org/10.1037/ppm0000038



DOI: https://doi.org/10.22146/jpsi.56058

Article Metrics

Abstract views : 2899 | views : 2294

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 Jurnal Psikologi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Published by Faculty of Psychology Universitas Gadjah Mada, Indonesia Building D-6th Floor No. D-606. Jl. Sosio Humaniora No. 1, Bulaksumur Yogyakarta, 55281
Email: jurnalpsikologi@ugm.ac.id
Phone/whatsApp: +6289527548628

Web
Analytics Made Easy - StatCounter View My Stats