This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1565) Depression and Mood Disorders; Suicide Prevention (1702) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1924) Intentional Self-Harm (138) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2139)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46254, first published .
Association Between Internet Searches Related to Suicide/Self-harm and Adolescent Suicide Death in South Korea in 2016-2020: Secondary Data Analysis

Association Between Internet Searches Related to Suicide/Self-harm and Adolescent Suicide Death in South Korea in 2016-2020: Secondary Data Analysis

Association Between Internet Searches Related to Suicide/Self-harm and Adolescent Suicide Death in South Korea in 2016-2020: Secondary Data Analysis

Authors of this article:

Won-Seok Choi1 Author Orcid Image ;   Junhee Han2 Author Orcid Image ;   Hyun Ju Hong3 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Arai T, Tsubaki H, Wakano A, Shimizu Y. Association Between School-Related Google Trends Search Volume and Suicides Among Children and Adolescents in Japan During 2016-2020: Retrospective Observational Study With a Time-Series Analysis. Journal of Medical Internet Research 2024;26:e51710 View
  2. Rajabi M, Bagian Kulehmarzi M, Mahmoudian Dastnaei T. A Structural Model of Cognitive Reactivity and Early Life Experiences with Suicide Resiliency: The Mediation of Psychological Pain. International Journal of High Risk Behaviors and Addiction 2024;13(4) View
  3. Liu L, Tian Y, Fan H, Wang J, Chen C, Liu Z, Geng F, Mo D, Luo X, Wen X, Zhao X, Hao M, Xia L, Liu H. Associations between internet addiction and suicidal ideation in depressed adolescents: the mediating effect of insomnia as well as sex differences. BMC Psychiatry 2024;24(1) View
  4. Li W, Chen L, Wang W, Zhou H, Zhai L. Predicting suicide risk in patients with digestive system tumors: A retrospective cohort study. Surgery 2025;180:109047 View
  5. Li M, Liu F, Han X, Wang J, Li N. The Association Between Internet Addiction and Non‐Suicidal Self‐Injury Among Adolescents: A Meta‐Analysis. Journal of Adolescence 2025;97(6):1433 View
  6. Ammerman B, Kleiman E, O’Brien C, Knorr A, Bell K, Ram N, Robinson T, Reeves B, Jacobucci R. Smartphone-based text obtained via passive sensing as it relates to direct suicide risk assessment. Psychological Medicine 2025;55 View
  7. Sung M, Subramanian S, Kim R. The Gender Distribution and Association between Sociodemographic Factors and Hospital-Presenting Self-Injury: Analysis from the Korea National Hospital Discharge In-Depth Injury Survey. Archives of Suicide Research 2025:1 View
  8. Kachlik Z, Walaszek M, Nazar W, Sokołowska M, Karbiak A, Pilarska E, Cubała W. Predicting Suicide Attempt Trends in Youth: A Machine Learning Analysis Using Google Trends and Historical Data. Journal of Clinical Medicine 2025;14(18):6373 View
  9. Walaszek M, Kachlik Z, Nazar W, Sokołowska M, Karbiak A, Pilarska E, Waszak P, Cubała W. Machine learning prediction of suicide attempt counts in Poland: Insights from Google trends and historical data. International Journal of Clinical and Health Psychology 2025;25(4):100644 View
  10. Park K, BAIK M, Hwang Y, Shin Y, Lee H, Lee R, LEE S, SUN J, LEE A, YOON S, Lee D, Moon J, Bak J, Cho K, Paik J, Park S. Iterative LLM-Guided Sampling and Expert-annotated Benchmark Corpus for Harmful Suicide Content Detection (Preprint). JMIR Medical Informatics 2025 View
  11. Lee M, Bhang S. Annual Trends in Suicide Among Children Under 13 Years in South Korea, 2013–2022: Based on the Intentional Self-Harm (Suicide) Report of Statistics Korea. JAACAP Open 2025 View