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The Effects of Smartphone Addiction and Cyber Victimisation on Suicidal Ideation of Adolescents in Turkey

Yıl 2024, Cilt: 11 Sayı: 2, 34 - 57, 31.12.2024

Öz

This study aims to examine whether gender, smartphone addiction, and the level of cyberbullying victimisation are significant predictors of suicidal ideations. The correlational model was used in the study. The participants of the study consisted of 211 high school students. The convenience sampling method was used in the selection of the participants. Among the participants, 137 are female, 74 are male, 157 are ninth, and 54 are tenth-grade high school students. Three scales, namely Smartphone Addiction, Cyber Bullying / Victimisation, and Suicidal Ideations, were used to collect data in the study. In addition to these scales, students' gender and grade information were asked. For the statistical analysis, correlation and linear hierarchical regressions were utilized to evaluate how well variables predicted suicide ideation. The study revealed that grade and gender were not significant predictors of suicidal ideations. Still, smartphone addiction and cyberbullying victimisation were significant predictors of suicidal ideations.

Kaynakça

  • Anderson, W. L. (2010). Cyber stalking (cyberbullying)-proof and punishment. Insights to a Changing World Journal, 4(3), 18-23.
  • Arıcak, O. T., Kınay, H., & Tanrıkulu, T. (2012). The first psychometric findings of the cyberbullying scale. Journal of Hasan Ali Yücel Education Faculty, 9(1), 101-114.
  • Ayas, T. & Horzum, M. B. (2010). Cyberbully/victim scale development study. Academic Overview: International Refereed E-Journal of Social Sciences, 19, 1-17
  • Ayas, T. (2014). Prediction cyber bullying with respect to depression, anxiety and gender variables. Online Journal of Technology Addiction and Cyberbullying, 1(1), 1-17.
  • Bae, S. M. (2015). The relationships between perceived parenting style, learning motivation, friendship satisfaction, and the addictive use of smartphones with elementary school students of South Korea: Using multivariate latent growth modeling. School Psychology International, 36(5), 513-531.
  • Batıgün, A. D. (2005). Suicide probability: A review in terms of reasons for living, hopelessness and loneliness. Turkish Journal of Psychiatry, 16(1), 29-39.
  • Bian, M., & Leung, L. (2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33(1), 61-79.
  • Bolle, C. L. (2014). Who is a smartphone addict? The impact of personal factors and type of usage on smartphone addiction in a Dutch population [Unpublished master dissertation]. University of Twente.
  • Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49-57.
  • Choi, H. S., Lee, H. K., & Ha, J. C. (2012). The influence of smartphone addiction on mental health, campus life and personal relations-Focusing on K university students. Journal of the Korean Data and Information Science Society, 23(5), 1005-1015.
  • De Man, A. F., Leduc, C. P., & Labreche‐Gauthier, L. (1992). Correlates of suicide ideation in French‐Canadian adults and adolescents: A comparison. Journal of Clinical Psychology, 48(6), 811-816.
  • Bayam, G., Dilbaz, N., Bitlis, V., Polat, H., & Tuzer, T. (1995). Validity and reliability of suicidal ideation scale. Crisis, 3, 253-255.
  • Elevli, S. (2012). Predictors of suicide probability in adolescents: Loneliness, anger expression, guilt and shame [Unpublished master dissertation]. Muğla Sıtkı Koçman University.
  • Feinberg, T. & Robey, N. (2008). Cyberbullying. Principal Leadership, 9(1), 10-14
  • Ferrara, P., Ianniello, F., Cutrona, C., Quintarelli, F., Vena, F., Del Volgo, V.,& Chiaretti, A. (2014). A focus on recent cases of suicides among Italian children and adolescents and a review of literature. Italian Journal of Pediatrics, 40(1), 1-5.
  • Gross, E. F. (2004). Adolescent Internet use: What we expect, what teens report. Journal of Applied Developmental Psychology, 25(6), 633-649.
  • Harriss, L., Hawton, K., & Zahl, D. (2005). Value of measuring suicidal intent in the assessment of people attending hospital following self-poisoning or self-injury. The British Journal of Psychiatry, 186(1), 60-66.
  • Hinduja, S., & Patchin, J. W. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14(3), 206-221.
  • Hinduja, S., & Patchin, J. W. (2019). Connecting adolescent suicide to the severity of bullying and cyberbullying. Journal of School Violence, 18(3), 333-346.
  • Hoff, D. L., & Mitchell, S. N. (2009). Cyberbullying: Causes, effects, and remedies. Journal of Educational Administration, 47(5), 652-665.
  • Jeong, H. & Lee, Y. (2015). Smartphone addiction and empathy among nursing students. Advanced Science and Technology Letters, 88(47), 224-228.
  • Kaltiala-Heino, R., Rimpelä, M., Marttunen, M., Rimpelä, A., & Rantanen, P. (1999). Bullying, depression, and suicidal ideation in Finnish adolescents: School survey. BMJ, 319(7206), 348-351.
  • Katsumata, Y., Matsumoto, T., Kitani, M., & Takeshima, T. (2008). Electronic media use and suicidal ideation in Japanese adolescents. Psychiatry and Clinical Neurosciences, 62(6), 744-746.
  • Kelly, E. V., Newton, N. C., Stapinski, L. A., Slade, T., Barrett, E. L., Conrod, P. J., & Teesson, M. (2015). Suicidality, internalising problems and externalising problems among adolescent bullies, victims and bully-victims. Preventive Medicine, 73, 100–105
  • Kim, H. J., Min, J. Y., Min, K. B., Lee, T. J., & Yoo, S. (2018). Relationship among family environment, self-control, friendship quality, and adolescents' smartphone addiction in South Korea: Findings from nationwide data. PloS one, 13(2), Article e0190896.
  • Kim, M. H., Min, S., Ahn, J. S., An, C., & Lee, J. (2019). Association between high adolescent smartphone use and academic impairment, conflicts with family members or friends, and suicide attempts. PloS one, 14(7), Article e0219831.
  • Kjoler, M., & Helweg-Larsen, M. (2000). Suicidal ideation and suicide attempts among adult Danes. Scandinavian Journal of Public Health, 28(1), 54-61.
  • Ko, K. S., Lee, M. J., & Kim, Y. E. (2012). A research on addictive use of smartphone by university students. Journal of Digital Contents Society, 13(4), 501-516.
  • Kowalski, R. M., & Witte, J. (2006). Youth internet survey. Unpublished manuscript, Clemson University. Retrieved April 9, 2021, from http://www.camss.clemson.edu/
  • Kowalski, R. M.,& Limber, S. P. (2007). Electronic bullying among middle school students. Journal of Adolescent Health, 41(6), S22-S30.
  • Kumar, C. S., Mohan, R., Ranjith, G., & Chandrasekaran, R. (2006). Gender differences in medically serious suicide attempts: A study from South India. Psychiatry Research, 144(1), 79-86.
  • Kwon, Y. S., & Paek, K. S. (2016). The influence of smartphone addiction on depression and communication competence among college students. Indian Journal of Science and Technology, 9(41), 1-8.
  • Langhinrichsen-Rohling, J., Arata, C., Bowers, D., O'Brien, N., & Morgan, A. (2004). Suicidal behavior, negative affect, gender, and self-reported delinquency in college students. Suicide and Life-Threatening Behavior, 34(3), 255-266.
  • Levine, S., Ancill, R. U., & Roberts, A. P. (1989). Assessment of suicide risk by computer‐delivered self‐rating questionnaire: preliminary findings. Acta Psychiatrica Scandinavica, 80(3), 216-220.
  • Litwiller, B. J., & Brausch, A. M. (2013). Cyber bullying and physical bullying in adolescent suicide: the role of violent behavior and substance use. Journal of Youth and Adolescence, 42(5), 675-684.
  • Long, J., Liu, T. Q., Liao, Y. H., Qi, C., He, H. Y., Chen, S. B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry, 16(1), 408.
  • Medrano, J. L. J., Lopez Rosales, F., & Gámez-Guadix, M. (2018). Assessing the links of sexting, cybervictimisation, depression, and suicidal ideation among university students. Archives of Suicide Research, 22(1), 153-164.
  • Messias, E., Castro, J., Saini, A., Usman, M., & Peeples, D. (2011). Sadness, suicide, and their association with video game and internet overuse among teens: results from the youth risk behavior survey 2007 and 2009. Suicide and Life‐Threatening Behavior, 41(3), 307-315.
  • Molina, J. A., & Duarte, R. (2006). Risk determinants of suicide attempts among adolescents. American Journal of Economics and Sociology, 65(2), 407-434.
  • Murray, A. L., McKenzie, K., Murray, K. R., & Richelieu, M. (2016). Do close supportive relationships moderate the effect of depressive symptoms on suicidal ideation? British Journal of Guidance & Counselling, 44(1), 99-107.
  • Nam, Y. (2019). The cause of college students' cyberbullying in Korea: Effect of prior victimisation [Unpublished doctoral dissertation]. Michigan State University.
  • Nishina, A., Juvonen, J., & Witkow, M. R. (2005). Sticks and stones may break my bones, but names will make me feel sick: The psychosocial, somatic, and scholastic consequences of peer harassment. Journal of Clinical Child and Adolescent Psychology, 34(1), 37-48.
  • Nixon, C. L. (2014). Current perspectives: the impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5, 143–158.
  • Park, H. S., Schepp, K. G., Jang, E. H., & Koo, H. Y. (2006). Predictors of suicidal ideation among high school students by gender in South Korea. Journal of School Health, 76(5), 181-188.
  • Polat, R. (2017). Dijital hastalik olarak nomofobi. Yeni Medya Elektronik Dergisi, 1(2), 164-172.
  • Pompili, M., Serafini, G., Innamorati, M., Biondi, M., Siracusano, A., Di Giannantonio, M., ... & Möller-Leimkühler, A. M. (2012). Substance abuse and suicide risk among adolescents. European Archives of Psychiatry and Clinical Neuroscience, 262(6), 469-485.
  • Price, M., & Dalgleish, J. (2010). Cyberbullying: Experiences, impacts and coping strategies as described by Australian young people. Youth Studies Australia, 29(2), 51-59.
  • Richards, B. M. (1999). Suicide and internalised relationships: A study from the perspective of psychotherapists working with suicidal patients. British Journal of Guidance & Counselling, 27(1), 85-98.
  • Şar, A. H., Ayas, T., & Horzum, M. B. (2015). Developing the smartphone addiction scale and its validity and reliability study. Online Journal of Technology Addiction & Cyberbullying, 2(1), 1-17.
  • Schenk, A. M., Fremouw, W. J., & Keelan, C. M. (2013). Characteristics of college cyberbullies. Computers in Human Behavior, 29(6), 2320-2327.
  • Schenk, A. M.,& Fremouw, W. J. (2012). Prevalence, psychological impact, and coping of cyberbully victims among college students. Journal of School Violence, 11(1), 21-37.
  • Schneider, S. K., O'donnell, L., Stueve, A., & Coulter, R. W. (2012). Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American Journal of Public Health, 102(1), 171-177.
  • Lee, M.-J., (2014, April 14). Smartphones worsen cyberbullying. The wall street journal. http://blogs.wsj.com/korearealtime/2014/04/15/smartphones-a-boon-for- cyberbullying-2/.
  • Shain, B. N. (2007). Suicide and suicide attempts in adolescents. Pediatrics, 120(3), 669-76.
  • Sourander, A., Klomek, A. B., Ikonen, M., Lindroos, J., Luntamo, T., Koskelainen, M., & Helenius, H. (2010). Psychosocial risk factors associated with cyberbullying among adolescents: A population-based study. Archives of General Psychiatry, 67(7), 720-728.
  • Takeuchi, T., & Nakao, M. (2013). The relationship between suicidal ideation and symptoms of depression in Japanese workers: A cross-sectional study. BMJ Open, 3(11), Article e003643. Doi: 10.1136/bmjopen-2013-003643.
  • Thomas, H. V., Crawford, M., Meltzer, H., & Lewis, G. (2002). Thinking life is not worth living. Social Psychiatry and Psychiatric Epidemiology, 37(8), 351-356.
  • Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17.
  • Ubertini, M. (2010). Cyberbullying may reduce adolescent's well-being: Can life satisfaction and social support protect them? [Unpublished doctoral dissertation]. Hofstra University.
  • Van Geel, M., Vedder, P., & Tanilon, J. (2014). A meta-analysis on the relation between peer victimisation, cyberbullying and suicide in children and adolescents. JAMA Pediatrics, 168(5), 435-442.
  • Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181-188.
  • Whetstone, L. M., Morrissey, S. L., & Cummings, D. M. (2007). Children at risk: the association between perceived weight status and suicidal thoughts and attempts in middle school youth. Journal of School Health, 77(2), 59-66.
  • Won-jun, L. (2013). An exploratory study on addictive use of smartphone: Developing SAUS (Smartphone Addictive Use Scale). Journal of Convergence Information Technology, 8(12), 403.
  • World Health Organization. (2015). Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices: Meeting report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, 27-29 August 2014. World Health Organization.
  • Ybarra, M. L., Espelage, D. L., & Mitchell, K. J. (2007). The co-occurrence of Internet harassment and unwanted sexual solicitation victimisation and perpetration: Associations with psychosocial indicators. Journal of Adolescent Health, 41(6), 31-41.

Türkiye'de Akıllı Telefon Bağımlılığı ve Siber Mağduriyetin Ergenlerde İntihar Düşüncesi Üzerindeki Etkileri

Yıl 2024, Cilt: 11 Sayı: 2, 34 - 57, 31.12.2024

Öz

Bu çalışmanın amacı cinsiyet, akıllı telefon bağımlılığı ve siber zorbalık mağduriyeti düzeyinin intihar düşüncelerinin anlamlı yordayıcıları olup olmadığını incelemektir. Çalışmada korelasyonel model kullanılmıştır. Çalışmanın katılımcıları 211 lise öğrencisinden oluşmaktadır. Katılımcıların seçiminde kolayda örnekleme yöntemi kullanılmıştır. Katılımcıların 137'si kadın, 74'ü erkek, 157'si lise dokuzuncu sınıf ve 54'ü lise onuncu sınıf öğrencisidir. Çalışmada veri toplamak için Akıllı Telefon Bağımlılığı, Siber Zorbalık/Mağduriyet ve İntihar Düşünceleri olmak üzere üç ölçek kullanılmıştır. Bu ölçeklere ek olarak öğrencilerin cinsiyet ve sınıf bilgileri de sorulmuştur. İstatistiksel analiz için değişkenlerin intihar düşüncelerini ne kadar iyi yordadığını değerlendirmek amacıyla korelasyon ve doğrusal hiyerarşik regresyonlardan yararlanılmıştır. Çalışma, sınıf ve cinsiyetin intihar düşüncelerinin anlamlı yordayıcıları olmadığını ortaya koymuştur. Yine de akıllı telefon bağımlılığı ve siber zorbalık mağduriyeti intihar düşüncelerinin anlamlı yordayıcılarıydı.

Kaynakça

  • Anderson, W. L. (2010). Cyber stalking (cyberbullying)-proof and punishment. Insights to a Changing World Journal, 4(3), 18-23.
  • Arıcak, O. T., Kınay, H., & Tanrıkulu, T. (2012). The first psychometric findings of the cyberbullying scale. Journal of Hasan Ali Yücel Education Faculty, 9(1), 101-114.
  • Ayas, T. & Horzum, M. B. (2010). Cyberbully/victim scale development study. Academic Overview: International Refereed E-Journal of Social Sciences, 19, 1-17
  • Ayas, T. (2014). Prediction cyber bullying with respect to depression, anxiety and gender variables. Online Journal of Technology Addiction and Cyberbullying, 1(1), 1-17.
  • Bae, S. M. (2015). The relationships between perceived parenting style, learning motivation, friendship satisfaction, and the addictive use of smartphones with elementary school students of South Korea: Using multivariate latent growth modeling. School Psychology International, 36(5), 513-531.
  • Batıgün, A. D. (2005). Suicide probability: A review in terms of reasons for living, hopelessness and loneliness. Turkish Journal of Psychiatry, 16(1), 29-39.
  • Bian, M., & Leung, L. (2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33(1), 61-79.
  • Bolle, C. L. (2014). Who is a smartphone addict? The impact of personal factors and type of usage on smartphone addiction in a Dutch population [Unpublished master dissertation]. University of Twente.
  • Chiu, S. I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49-57.
  • Choi, H. S., Lee, H. K., & Ha, J. C. (2012). The influence of smartphone addiction on mental health, campus life and personal relations-Focusing on K university students. Journal of the Korean Data and Information Science Society, 23(5), 1005-1015.
  • De Man, A. F., Leduc, C. P., & Labreche‐Gauthier, L. (1992). Correlates of suicide ideation in French‐Canadian adults and adolescents: A comparison. Journal of Clinical Psychology, 48(6), 811-816.
  • Bayam, G., Dilbaz, N., Bitlis, V., Polat, H., & Tuzer, T. (1995). Validity and reliability of suicidal ideation scale. Crisis, 3, 253-255.
  • Elevli, S. (2012). Predictors of suicide probability in adolescents: Loneliness, anger expression, guilt and shame [Unpublished master dissertation]. Muğla Sıtkı Koçman University.
  • Feinberg, T. & Robey, N. (2008). Cyberbullying. Principal Leadership, 9(1), 10-14
  • Ferrara, P., Ianniello, F., Cutrona, C., Quintarelli, F., Vena, F., Del Volgo, V.,& Chiaretti, A. (2014). A focus on recent cases of suicides among Italian children and adolescents and a review of literature. Italian Journal of Pediatrics, 40(1), 1-5.
  • Gross, E. F. (2004). Adolescent Internet use: What we expect, what teens report. Journal of Applied Developmental Psychology, 25(6), 633-649.
  • Harriss, L., Hawton, K., & Zahl, D. (2005). Value of measuring suicidal intent in the assessment of people attending hospital following self-poisoning or self-injury. The British Journal of Psychiatry, 186(1), 60-66.
  • Hinduja, S., & Patchin, J. W. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14(3), 206-221.
  • Hinduja, S., & Patchin, J. W. (2019). Connecting adolescent suicide to the severity of bullying and cyberbullying. Journal of School Violence, 18(3), 333-346.
  • Hoff, D. L., & Mitchell, S. N. (2009). Cyberbullying: Causes, effects, and remedies. Journal of Educational Administration, 47(5), 652-665.
  • Jeong, H. & Lee, Y. (2015). Smartphone addiction and empathy among nursing students. Advanced Science and Technology Letters, 88(47), 224-228.
  • Kaltiala-Heino, R., Rimpelä, M., Marttunen, M., Rimpelä, A., & Rantanen, P. (1999). Bullying, depression, and suicidal ideation in Finnish adolescents: School survey. BMJ, 319(7206), 348-351.
  • Katsumata, Y., Matsumoto, T., Kitani, M., & Takeshima, T. (2008). Electronic media use and suicidal ideation in Japanese adolescents. Psychiatry and Clinical Neurosciences, 62(6), 744-746.
  • Kelly, E. V., Newton, N. C., Stapinski, L. A., Slade, T., Barrett, E. L., Conrod, P. J., & Teesson, M. (2015). Suicidality, internalising problems and externalising problems among adolescent bullies, victims and bully-victims. Preventive Medicine, 73, 100–105
  • Kim, H. J., Min, J. Y., Min, K. B., Lee, T. J., & Yoo, S. (2018). Relationship among family environment, self-control, friendship quality, and adolescents' smartphone addiction in South Korea: Findings from nationwide data. PloS one, 13(2), Article e0190896.
  • Kim, M. H., Min, S., Ahn, J. S., An, C., & Lee, J. (2019). Association between high adolescent smartphone use and academic impairment, conflicts with family members or friends, and suicide attempts. PloS one, 14(7), Article e0219831.
  • Kjoler, M., & Helweg-Larsen, M. (2000). Suicidal ideation and suicide attempts among adult Danes. Scandinavian Journal of Public Health, 28(1), 54-61.
  • Ko, K. S., Lee, M. J., & Kim, Y. E. (2012). A research on addictive use of smartphone by university students. Journal of Digital Contents Society, 13(4), 501-516.
  • Kowalski, R. M., & Witte, J. (2006). Youth internet survey. Unpublished manuscript, Clemson University. Retrieved April 9, 2021, from http://www.camss.clemson.edu/
  • Kowalski, R. M.,& Limber, S. P. (2007). Electronic bullying among middle school students. Journal of Adolescent Health, 41(6), S22-S30.
  • Kumar, C. S., Mohan, R., Ranjith, G., & Chandrasekaran, R. (2006). Gender differences in medically serious suicide attempts: A study from South India. Psychiatry Research, 144(1), 79-86.
  • Kwon, Y. S., & Paek, K. S. (2016). The influence of smartphone addiction on depression and communication competence among college students. Indian Journal of Science and Technology, 9(41), 1-8.
  • Langhinrichsen-Rohling, J., Arata, C., Bowers, D., O'Brien, N., & Morgan, A. (2004). Suicidal behavior, negative affect, gender, and self-reported delinquency in college students. Suicide and Life-Threatening Behavior, 34(3), 255-266.
  • Levine, S., Ancill, R. U., & Roberts, A. P. (1989). Assessment of suicide risk by computer‐delivered self‐rating questionnaire: preliminary findings. Acta Psychiatrica Scandinavica, 80(3), 216-220.
  • Litwiller, B. J., & Brausch, A. M. (2013). Cyber bullying and physical bullying in adolescent suicide: the role of violent behavior and substance use. Journal of Youth and Adolescence, 42(5), 675-684.
  • Long, J., Liu, T. Q., Liao, Y. H., Qi, C., He, H. Y., Chen, S. B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry, 16(1), 408.
  • Medrano, J. L. J., Lopez Rosales, F., & Gámez-Guadix, M. (2018). Assessing the links of sexting, cybervictimisation, depression, and suicidal ideation among university students. Archives of Suicide Research, 22(1), 153-164.
  • Messias, E., Castro, J., Saini, A., Usman, M., & Peeples, D. (2011). Sadness, suicide, and their association with video game and internet overuse among teens: results from the youth risk behavior survey 2007 and 2009. Suicide and Life‐Threatening Behavior, 41(3), 307-315.
  • Molina, J. A., & Duarte, R. (2006). Risk determinants of suicide attempts among adolescents. American Journal of Economics and Sociology, 65(2), 407-434.
  • Murray, A. L., McKenzie, K., Murray, K. R., & Richelieu, M. (2016). Do close supportive relationships moderate the effect of depressive symptoms on suicidal ideation? British Journal of Guidance & Counselling, 44(1), 99-107.
  • Nam, Y. (2019). The cause of college students' cyberbullying in Korea: Effect of prior victimisation [Unpublished doctoral dissertation]. Michigan State University.
  • Nishina, A., Juvonen, J., & Witkow, M. R. (2005). Sticks and stones may break my bones, but names will make me feel sick: The psychosocial, somatic, and scholastic consequences of peer harassment. Journal of Clinical Child and Adolescent Psychology, 34(1), 37-48.
  • Nixon, C. L. (2014). Current perspectives: the impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5, 143–158.
  • Park, H. S., Schepp, K. G., Jang, E. H., & Koo, H. Y. (2006). Predictors of suicidal ideation among high school students by gender in South Korea. Journal of School Health, 76(5), 181-188.
  • Polat, R. (2017). Dijital hastalik olarak nomofobi. Yeni Medya Elektronik Dergisi, 1(2), 164-172.
  • Pompili, M., Serafini, G., Innamorati, M., Biondi, M., Siracusano, A., Di Giannantonio, M., ... & Möller-Leimkühler, A. M. (2012). Substance abuse and suicide risk among adolescents. European Archives of Psychiatry and Clinical Neuroscience, 262(6), 469-485.
  • Price, M., & Dalgleish, J. (2010). Cyberbullying: Experiences, impacts and coping strategies as described by Australian young people. Youth Studies Australia, 29(2), 51-59.
  • Richards, B. M. (1999). Suicide and internalised relationships: A study from the perspective of psychotherapists working with suicidal patients. British Journal of Guidance & Counselling, 27(1), 85-98.
  • Şar, A. H., Ayas, T., & Horzum, M. B. (2015). Developing the smartphone addiction scale and its validity and reliability study. Online Journal of Technology Addiction & Cyberbullying, 2(1), 1-17.
  • Schenk, A. M., Fremouw, W. J., & Keelan, C. M. (2013). Characteristics of college cyberbullies. Computers in Human Behavior, 29(6), 2320-2327.
  • Schenk, A. M.,& Fremouw, W. J. (2012). Prevalence, psychological impact, and coping of cyberbully victims among college students. Journal of School Violence, 11(1), 21-37.
  • Schneider, S. K., O'donnell, L., Stueve, A., & Coulter, R. W. (2012). Cyberbullying, school bullying, and psychological distress: A regional census of high school students. American Journal of Public Health, 102(1), 171-177.
  • Lee, M.-J., (2014, April 14). Smartphones worsen cyberbullying. The wall street journal. http://blogs.wsj.com/korearealtime/2014/04/15/smartphones-a-boon-for- cyberbullying-2/.
  • Shain, B. N. (2007). Suicide and suicide attempts in adolescents. Pediatrics, 120(3), 669-76.
  • Sourander, A., Klomek, A. B., Ikonen, M., Lindroos, J., Luntamo, T., Koskelainen, M., & Helenius, H. (2010). Psychosocial risk factors associated with cyberbullying among adolescents: A population-based study. Archives of General Psychiatry, 67(7), 720-728.
  • Takeuchi, T., & Nakao, M. (2013). The relationship between suicidal ideation and symptoms of depression in Japanese workers: A cross-sectional study. BMJ Open, 3(11), Article e003643. Doi: 10.1136/bmjopen-2013-003643.
  • Thomas, H. V., Crawford, M., Meltzer, H., & Lewis, G. (2002). Thinking life is not worth living. Social Psychiatry and Psychiatric Epidemiology, 37(8), 351-356.
  • Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17.
  • Ubertini, M. (2010). Cyberbullying may reduce adolescent's well-being: Can life satisfaction and social support protect them? [Unpublished doctoral dissertation]. Hofstra University.
  • Van Geel, M., Vedder, P., & Tanilon, J. (2014). A meta-analysis on the relation between peer victimisation, cyberbullying and suicide in children and adolescents. JAMA Pediatrics, 168(5), 435-442.
  • Wang, J. L., Wang, H. Z., Gaskin, J., & Wang, L. H. (2015). The role of stress and motivation in problematic smartphone use among college students. Computers in Human Behavior, 53, 181-188.
  • Whetstone, L. M., Morrissey, S. L., & Cummings, D. M. (2007). Children at risk: the association between perceived weight status and suicidal thoughts and attempts in middle school youth. Journal of School Health, 77(2), 59-66.
  • Won-jun, L. (2013). An exploratory study on addictive use of smartphone: Developing SAUS (Smartphone Addictive Use Scale). Journal of Convergence Information Technology, 8(12), 403.
  • World Health Organization. (2015). Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices: Meeting report, Main Meeting Hall, Foundation for Promotion of Cancer Research, National Cancer Research Centre, Tokyo, Japan, 27-29 August 2014. World Health Organization.
  • Ybarra, M. L., Espelage, D. L., & Mitchell, K. J. (2007). The co-occurrence of Internet harassment and unwanted sexual solicitation victimisation and perpetration: Associations with psychosocial indicators. Journal of Adolescent Health, 41(6), 31-41.
Toplam 65 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Rehberlik ve Psikolojik Danışmanlık (Diğer)
Bölüm Makaleler
Yazarlar

Mehmet Barış Horzum 0000-0003-3567-0779

Tuncay Ayas 0000-0003-2613-5643

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 23 Eylül 2024
Kabul Tarihi 25 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 11 Sayı: 2

Kaynak Göster

APA Horzum, M. B., & Ayas, T. (2024). The Effects of Smartphone Addiction and Cyber Victimisation on Suicidal Ideation of Adolescents in Turkey. Online Journal of Technology Addiction and Cyberbullying, 11(2), 34-57.