Improving the Short-Term Prediction of Suicidal Behavior
Open accessAbstract
Aspirational Goal 3 of the National Action Alliance for Suicide Prevention's Research Prioritization Task Force is to predict who is at risk for attempting suicide in the near future. Despite decades of research devoted to the study of risk and protective factors for suicide and suicidal behavior, surprisingly little is known about the short-term prediction of these behaviors. In this paper, we propose several questions that, if answered, could improve the identification of short-term, or imminent, risk for suicidal behavior. First, what factors predict the transition from suicidal thoughts to attempts? Second, what factors are particularly strong predictors of making this transition over the next hours, days, or weeks? Third, what are the most important objective markers of short-term risk for suicidal behavior? And fourth, what method of combining information about risk and protective factors yields the best prediction? We propose that the next generation of research on the assessment and prediction of suicidal behavior should shift, from cross-sectional studies of bivariate risk and protective factors, to prospective studies aimed at identifying multivariate, short-term prediction indices, examining methods of synthesizing this information, and testing the ability to predict and prevent suicidal events.
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Prediction of suicide and suicidal behaviour can only improve substantially over chance by the examination of multiple risk factors simultaneously, with a specific focus on imminent suicide risk.
“Consequently, there is a nearly universal acknowledgement that prediction of suicide and suicidal behaviour can only improve substantially over chance by the examination of multiple risk factors simultaneously, with a specific focus on imminent suicide risk 203,205 .”
From Suicide and suicide risk (2019) · cites this paper as [205]
In “Breakthroughs Needed,” section 4 (page unavailable), the paper argues for combining multiple risk factors and reports promising results from indices based on longer-term factors. The Introduction and Conclusions (pages unavailable) emphasize imminent risk, but the paper does not establish that multivariate assessment is the only way to improve prediction substantially over chance, particularly for imminent risk. (LLM, conf=0.85)
Experimental — accuracy not yet measuredState-sensitive phenomena are more promising for short-term risk and likely poor indicators of long-term risk.
“Contrastingly, state-sensitive phenomena are more promising candidates for short-term risk (Glenn & Nock, 2014) and likely poor indicators of long-term risk.”
From Sleep and suicide: A systematic review and meta-analysis of longitudinal studies (2020) · cites this paper as Glenn & Nock, 2014
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- Authors
- Glenn, C. R., & Nock, M. K.
- Affiliations
- Harvard University (US)
- Corresponding author
- Glenn, Catherine R.
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 47
- Issue
- 3
- Pages
- S176-S180
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC5258198
- OpenAlex
- W2043203750
- Cited by
- 328
- References
- 26
- Citations by year
- 2026: 23 · 2025: 18 · 2024: 27 · 2023: 25 · 2022: 31 · 2021: 44 · 2020: 30 · 2019: 37 · 2018: 33 · 2017: 22 · 2016: 20 · 2015: 15 · 2014: 1
- FWCI
- 23.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institute of Mental Health (F32MH097354)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Keywords
- suicidal behavior, short-term forecasting, suicide attempts, suicidal ideation, risk and protective factors, suicide prevention, prospective study
- MeSH terms
- Suicide Prevention, Forecasting, Humans, Research, Research Design, Risk Factors, Suicide, Suicide, Attempted, Time Factors, Suicidal Ideation
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