ArticleJournal of medical Internet research2016
Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google Search Queries.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Epidemiological trends and determinants of suicide in Iran with insights into the COVID-19 period, 1980-2021.Population health metrics · 2025Article
- A Worldwide Study of the Relationship Between Gini Coefficients and Suicide Rates.International journal of environmental research and public health · 2025Article
- 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 · 2024Observational
- Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model.JMIR public health and surveillance · 2021Article
- Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework.JMIR research protocols · 2020Article
- Infodemiology and Infoveillance: Scoping Review.Journal of medical Internet research · 2020Article
- The relationship between depression and sexual health service utilization among men who have sex with men (MSM) in Côte d'Ivoire, West Africa.BMC international health and human rights · 2019Article
- How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study.Journal of medical Internet research · 2019Observational
- Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States.Journal of medical Internet research · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet search query data reflect the attitudes of the users, using which we can measure the past orientation to commit suicide. Examinations of past orientation often highlight certain predispositions of attitude, many of which can be suicide risk factors.
objectiveTo investigate the relationship between past orientation and suicide rate by examining Google search queries.
methodsWe measured the past orientation using Google search query data by comparing the search volumes of the past year and those of the future year, across the 50 US states and the District of Columbia during the period from 2004 to 2012. We constructed a panel dataset with independent variables as control variables; we then undertook an analysis using multiple ordinary least squares regression and methods that leverage the Akaike information criterion and the Bayesian information criterion.
resultsIt was found that past orientation had a positive relationship with the suicide rate (P ≤ .001) and that it improves the goodness-of-fit of the model regarding the suicide rate. Unemployment rate (P ≤ .001 in Models 3 and 4), Gini coefficient (P ≤ .001), and population growth rate (P ≤ .001) had a positive relationship with the suicide rate, whereas the gross state product (P ≤ .001) showed a negative relationship with the suicide rate.
conclusionsWe empirically identified the positive relationship between the suicide rate and past orientation, which was measured by big data-driven Google search query.
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