The association between suicidality and Internet addiction and activities in Taiwanese adolescents
Abstract
Objective The aims of this cross-sectional study were to examine the associations of suicidal ideation and attempt with Internet addiction and Internet activities in a large representative Taiwanese adolescent population. Methods 9510 adolescent students aged 12-18 years were selected using a stratified random sampling strategy in southern Taiwan and completed the questionnaires. The five questions from the Kiddie Schedule for Affective Disorders and Schizophrenia were used to inquire as to the participants' suicidal ideation and attempt in the past one month. The Chen Internet Addiction Scale was used to assess participants' Internet addiction. The kinds of Internet activities that the adolescents participated in were also recorded. The associations of suicidal ideation and attempt with Internet addiction and Internet activities were examined using logistic regression analysis to control for the effects of demographic characteristics, depression, family support and self-esteem. Results After controlling for the effects of demographic characteristics, depression, family support and self-esteem, Internet addiction was significantly associated with suicidal ideation and suicidal attempt. Online gaming, MSN, online searching for information, and online studying were associated with an increased risk of suicidal ideation. While online gaming, chatting, watching movies, shopping, and gambling were associated with an increased risk of suicidal attempt, watching online news was associated with a reduced risk of suicidal attempt. Conclusions The results of this study indicated that adolescents with Internet addiction have higher risks of suicidal ideation and attempt than those without. Meanwhile, different kinds of Internet activities have various associations with the risks of suicidal ideation and attempt.
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Risk of suicide attempts was decreased with watching news online (OR 0.73, 95% CI 0.54-0.98, P=0.038).
“decreased watching news online (OR 0.73, 95% CI 0.54-0.98, P =0.038)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Internet addiction was associated with suicide attempts (OR 1.59, 95% CI 1.29-1.96, P<0.001).
“Internet addiction was associated with suicide attempts (OR 1.59, 95% CI 1.29-1.96, P <0.001).”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Risk of suicide attempts was increased with shopping (OR 1.48, 95% CI 1.15-1.90, P=0.002).
“shopping (OR 1.48, 95% CI 1.15-1.90, P =0.002)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Risk of suicide attempts was increased with Internet 'Chatting' (OR 1.34, 95% CI 1.10-1.63, P=0.003).
“Risk of suicide attempts were increased with Internet 'Chatting' (OR 1.34, 95% CI 1.10-1.63, P =0.003)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Risk of suicide attempts was increased with online gaming (OR 1.31, 95% CI 1.05-1.63, P=0.017).
“online gaming (OR 1.31, 95% CI 1.05-1.63, P =0.017)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Risk of suicide attempts was increased with gambling online (OR 2.43, 95% CI 1.38-4.30, P=0.002).
“gambling online (OR 2.43, 95% CI 1.38-4.30, P =0.002)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Risk of suicide attempts was increased with watching movies (OR 1.26, 95% CI 1.03-1.53, P=0.025).
“watching movies (OR 1.26, 95% CI 1.03-1.53, P =0.025)”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as Lin, 2014
Cites
Yen, J.-Y., Ko, C.-H., Yen, C.-F., Wu, H.-Y., & Yang, M.-J. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.02.002 · Cited by 817 · see citing works
Self-citationFamily factors of Internet addiction and substance use experience in Taiwanese adolescents
Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9948 · Cited by 481 · see citing works
Self-citationThe CES-D as a Screen for Depression and Other Psychiatric Disorders in Adolescents
GARRISON, C. Z., ADDY, C. L., JACKSON, K. L., McKEOWN, R. E., & WALLER, J. L. (1991) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199107000-00017 · Cited by 357 · see citing works
The effects of Internet addiction on the lifestyle and dietary behavior of Korean adolescents
Kim, Y., Park, J. Y., Kim, S. B., Jung, I.-K., Lim, Y. S., & Kim, J.-H. (2010) · Nutrition Research and Practice · doi:10.4162/nrp.2010.4.1.51 · Cited by 202 · see citing works
Ko, C.-H., Yen, J.-Y., Yen, C.-F., Chen, C.-S., & Wang, S.-Y. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0095 · Cited by 102 · cited 1× · see citing works
“Internet addiction was also found to be associated with low self-esteem [13], inappropriate dietary behavior and poor diet quality [17], self injurious behavior [18], and frustration intolerance [19] among adolescents.”
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Problematic social media use: Results from a large-scale nationally representative adolescent sample
Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169839 · Cited by 984 · see citing works
Marchant, A., Hawton, K., Stewart, A., Montgomery, P., Singaravelu, V., Lloyd, K., Purdy, N., Daine, K., & John, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181722 · Cited by 464 · see citing works
Kaess, M., Durkee, T., Brunner, R., Carli, V., Parzer, P., Wasserman, C., Sarchiapone, M., Hoven, C., Apter, A., Balazs, J., et al. (2014) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-014-0562-7 · Cited by 298 · see citing works
Social media, internet use and suicide attempts in adolescents
Sedgwick, R., Epstein, S., Dutta, R., & Ougrin, D. (2019) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000547 · Cited by 260 · see citing works
“Control groups in those with social media or internet use as the exposure were either lower level internet users [19], nonusers [23], occasional users [24] or those not meeting the defined threshold for pathological [18■], problematic [18■,22,25■■] or addicted [26] internet behaviours.”
Ko, C.-H., Liu, T.-L., Wang, P.-W., Chen, C.-S., Yen, C.-F., & Yen, J.-Y. (2014) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.05.003 · Cited by 187 · see citing works
Self-citationJasso-Medrano, J. L., & López-Rosales, F. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.003 · Cited by 119 · see citing works
Chou, W., Chang, Y., & Yen, C. (2018) · The Kaohsiung Journal of Medical Sciences · doi:10.1016/j.kjms.2018.01.016 · Cited by 97 · see citing works
Self-citationA 2-year longitudinal study of prospective predictors of pathological Internet use in adolescents
Strittmatter, E., Parzer, P., Brunner, R., Fischer, G., Durkee, T., Carli, V., Hoven, C. W., Wasserman, C., Sarchiapone, M., Wasserman, D., et al. (2016) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-015-0779-0 · Cited by 98 · see citing works
Chou, W.-P., Ko, C.-H., Kaufman, E. A., Crowell, S. E., Hsiao, R. C., Wang, P.-W., Lin, J.-J., & Yen, C.-F. (2015) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2015.06.004 · Cited by 72 · see citing works
Self-citationInternet gaming disorder: feeling the flow of social games
Hu, E., Stavropoulos, V., Anderson, A., Scerri, M., & Collard, J. (2019) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2018.10.004 · Cited by 61 · see citing works
Lee, S. Y., Park, E.-C., Han, K.-T., Kim, S. J., Chun, S.-Y., & Park, S. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716635550 · Cited by 42 · see citing works
Alpaslan, A. H., Soylu, N., Kocak, U., & Guzel, H. I. (2016) · Acta Paediatrica · doi:10.1111/apa.13355 · Cited by 26 · see citing works
- Authors
- Lin, I.-H., Ko, C.-H., Chang, Y.-P., Liu, T.-L., Wang, P.-W., Lin, H.-C., Huang, M.-F., Yeh, Y.-C., Chou, W.-J., & Yen, C.-F.
- Affiliations
- Kaohsiung Medical University (TW)
- University at Buffalo, State University of New York (US)
- Chang Gung University (TW)
- Corresponding author
- Chou, Wen-Jiun
- Yen, Cheng-Fang
- ORCID
- Venue
- Comprehensive Psychiatry
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 55
- Issue
- 3
- Pages
- 504-510
- ISSN
- 0010-440X (ISSN-L)
- OpenAlex
- W1972472782
- Cited by
- 152
- References
- 5
- Citations by year
- 2026: 1 · 2025: 13 · 2024: 12 · 2023: 13 · 2022: 14 · 2021: 11 · 2020: 22 · 2019: 15 · 2018: 14 · 2017: 9 · 2016: 11 · 2015: 10 · 2014: 7
- FWCI
- 9.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Comprehensive Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Science Council (93-2413-H- 037-005-SSS)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- internet addiction, suicidal ideation, suicide attempts, adolescents, online games, online chat, online gambling, online news, online shopping, depression, self-esteem, family support, Taiwanese adolescents
- MeSH terms
- Adolescent, Adolescent Behavior, Child, Cross-Sectional Studies, Female, Humans, Male, Surveys and Questionnaires, Self Concept, Students, Suicide, Suicide, Attempted, Taiwan, Behavior, Addictive, Internet, Suicidal Ideation
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