Tracking search engine queries for suicide in the United Kingdom, 2004–2013
Abstract
Objectives First, to determine if a cyclical trend is observed for search activity of suicide and three common suicide risk factors in the United Kingdom: depression, unemployment, and marital strain. Second, to test the validity of suicide search data as a potential marker of suicide risk by evaluating whether web searches for suicide associate with suicide rates among those of different ages and genders in the United Kingdom. Study design Cross-sectional. Methods Search engine data was obtained from Google Trends, a publicly available repository of information of trends and patterns of user searches on Google. The following phrases were entered into Google Trends to analyse relative search volume for suicide, depression, job loss, and divorce, respectively: 'suicide'; 'depression + depressed + hopeless'; 'unemployed + lost job'; 'divorce'. Spearman's rank correlation coefficient was employed to test bivariate associations between suicide search activity and official suicide rates from the Office of National Statistics (ONS). Results Cyclical trends were observed in search activity for suicide and depression-related search activity, with peaks in autumn and winter months, and a trough in summer months. A positive, non-significant association was found between suicide-related search activity and suicide rates in the general working-age population (15-64 years) (ρ = 0.164; P = 0.652). This association is stronger in younger age groups, particularly for those 25-34 years of age (ρ = 0.848; P = 0.002). Conclusions We give credence to a link between search activity for suicide and suicide rates in the United Kingdom from 2004 to 2013 for high risk sub-populations (i.e. male youth and young professionals). There remains a need for further research on how Google Trends can be used in other areas of disease surveillance and for work to provide greater geographical precision, as well as research on ways of mitigating the risk of internet use leading to suicide ideation in youth.
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This methodology has also been replicated in the UK, but in both cases, not specifically looking at adolescent populations.
“This methodology has also been replicated in the UK [37], but in both cases, not specifically looking at adolescent populations.”
From Social media, internet use and suicide attempts in adolescents (2019) · cites this paper as [37]
Cites
Stuckler, D., Basu, S., Suhrcke, M., Coutts, A., & McKee, M. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61124-7 · Cited by 1,486 · see citing works
Self-citationThe use of google trends in health care research: a systematic review
Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109583 · Cited by 1,086 · see citing works
Digital disease detection - harnessing the Web for public health surveillance
Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0900702 · Cited by 819 · see citing works
Kessler, R. C., Sampson, N. A., Berglund, P., Gruber, M. J., Al-Hamzawi, A., Andrade, L., Bunting, B., Demyttenaere, K., Florescu, S., de Girolamo, G., et al. (2015) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796015000189 · Cited by 636 · see citing works
Increase in state suicide rates in the USA during economic recession
Reeves, A., Stuckler, D., McKee, M., Gunnell, D., Chang, S.-S., & Basu, S. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61910-2 · Cited by 347 · see citing works
Self-citationEconomic suicides in the Great Recession in Europe and North America
Reeves, A., McKee, M., & Stuckler, D. (2014) · British Journal of Psychiatry · doi:10.1192/bjp.bp.114.144766 · Cited by 268 · see citing works
Reeves, A., McKee, M., Gunnell, D., Chang, S.-S., Basu, S., Barr, B., & Stuckler, D. (2015) · European Journal of Public Health · doi:10.1093/eurpub/cku168 · Cited by 166 · see citing works
Self-citationSuicidal Disclosures among Friends: Using Social Network Data to Understand Suicide Contagion
Mueller, A. S., & Abrutyn, S. (2015) · Journal of Health and Social Behavior · doi:10.1177/0022146514568793 · Cited by 132 · see citing works
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Google Trends in Infodemiology and Infoveillance: Methodology Framework
Mavragani, A., & Ochoa, G. (2019) · JMIR Public Health and Surveillance · doi:10.2196/13439 · Cited by 520 · see citing works
Mavragani, A., Ochoa, G., & Tsagarakis, K. P. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9366 · Cited by 390 · 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
- Authors
- Arora, V. S., Stuckler, D., & McKee, M.
- Affiliations
- European Observatory on Health Systems and Policies (BE)
- Corresponding author
- Arora, V.S.
- ORCID
- McKee, M.
- Venue
- Public Health
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 137
- Pages
- 147-153
- ISSN
- 0033-3506 (ISSN-L)
- OpenAlex
- W2295664815
- Cited by
- 43
- References
- 8
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 3 · 2021: 5 · 2020: 6 · 2019: 6 · 2018: 6 · 2017: 3 · 2016: 1
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Public Health (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della Ricerca - Bocconi (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- suicide, web search queries, Google Trends, suicide risk factors, depression, unemployment, marital strain, divorce, seasonal variation, suicide rates, young adults, suicidal ideation, internet use, suicide surveillance
- MeSH terms
- Adolescent, Adult, Cross-Sectional Studies, Depression, Divorce, Female, United Kingdom, Humans, Male, Middle Aged, Population Surveillance, Risk Factors, Seasons, Suicide, Unemployment, Reproducibility of Results, Internet, Young Adult, Information Seeking Behavior, Search Engine
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