ArticleFrontiers in psychiatry2023
Korean adolescent suicide and search volume for "self-injury" on internet search engines.
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- The recent trend in youth suicide and its associated factors in South Korea: a time series analysis.The Lancet regional health. Western Pacific · 2026Article
- Are online search trends associated with changes in dental sealant utilization?: focusing on key influencing factors.BMC oral health · 2026Article
- Temporal relationship of suicide-related internet searches and suicide rates in Korea: A prewhitened cross-correlation analysis.PloS one · 2026Article
- Predicting Suicide Attempt Trends in Youth: A Machine Learning Analysis Using Google Trends and Historical Data.Journal of clinical medicine · 2025Article
- Association of parental depression with adolescent children's psychological well-being and health behaviors.BMC public health · 2024Article
- Machine learning prediction of suicide attempt counts in Poland: Insights from Google trends and historical data.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Many adolescents with suicidal ideation receive support through the Internet. However, they also find ways to attempt suicide or strengthen their suicidal ideation through this medium. This study analyzed the association between the search volume of suicide-related terms and the number of suicides among Korean adolescents. We also analyzed the correlations between the search volumes of suicide-related terms. Methods: We selected seven words (suicide, self-injury, depression, academic score, school violence, outcasts, and family trouble) related to adolescent suicide. A dataset was constructed by combining data from the most commonly used search engine in Korea (Naver Datalab) and the daily number of adolescent suicides in school settings ( Results: Significant associations were found between suicide attempts and search term volumes, which differed according to sex and time interval. Among the search terms, "self-injury" was most strongly associated with suicide, and this association was significant at all time intervals (daily, weekly, and monthly) in female adolescents and in the total population. Further, the association was strongest in the daily suicide data. More search term volumes were related to suicide in the daily and weekly data than in the monthly data. There were positive correlations between "suicide," "self-injury," and "depression" search volumes. Conclusion: Further studies with larger sample sizes, more search terms, and analysis of time intervals between suicide-related term search and suicide death are required. These studies can contribute to the establishment of an online suicide prevention system to detect suicide risk in adolescents and provide interventions.
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