Risk factors for the transition from suicide ideation to suicide attempt: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Open accessAbstract
Prior research has shown that most known risk factors for suicide attempts in the general population actually predict suicide ideation rather than attempts among ideators. Yet clinical interest in predicting suicide attempts often involves the evaluation of risk among patients with ideation. We examined a number of characteristics of suicidal thoughts hypothesized to predict incident attempts in a retrospective analysis of lifetime ideators (N = 3,916) drawn from a large (N = 29,982), representative sample of United States Army soldiers. The most powerful predictors of first nonfatal lifetime suicide attempt in a multivariate model controlling for previously known predictors (e.g., demographics, mental disorders) were: recent onset of ideation, presence and recent onset of a suicide plan, low controllability of suicidal thoughts, extreme risk-taking or "tempting fate," and failure to answer questions about the characteristics of one's suicidal thoughts. A predictive model using these risk factors had strong accuracy (area under the curve [AUC] = .93), with 66.2% of all incident suicide attempts occurring among the 5% of soldiers with highest composite predicted risk. This high concentration of risk in this retrospective study suggests that a useful clinical decision support model could be constructed from prospective data to identify those with highest risk of subsequent suicide attempt. (PsycINFO Database Record
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Nonresponse to questions about suicidal thinking is a particularly strong predictor of the transition from suicidal thinking to suicide attempts.
“These findings are consistent with prior work finding that nonresponse to questions about suicidal thinking is a particularly strong predictor of the transition from suicidal thinking to suicide attempts14”
From A pilot study using frequent inpatient assessments of suicidal thinking to predict short-term postdischarge suicidal behavior (2021) · cites this paper as [14]
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References 43 · Cited by 193
- Authors
- Nock, M. K., Millner, A. J., Joiner, T. E., Gutierrez, P. M., Han, G., Hwang, I., King, A., Naifeh, J. A., Sampson, N. A., Zaslavsky, A. M., Stein, M. B., Ursano, R. J., & Kessler, R. C.
- Affiliations
- Harvard University (US)
- Florida State University (US)
- Veterans Health Administration (US)
- Uniformed Services University of the Health Sciences (US)
- University of California San Diego (US)
- ORCID
- Venue
- Journal of Abnormal Psychology
- Published
- 2018-02
- Volume
- 127
- Issue
- 2
- Pages
- 139-149
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- PMC
- PMC5851467
- OpenAlex
- W2792170027
- Cited by
- 193
- References
- 43
- Citations by year
- 2026: 15 · 2025: 18 · 2024: 19 · 2023: 22 · 2022: 23 · 2021: 34 · 2020: 26 · 2019: 18 · 2018: 16 · 2017: 1
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- Military Suicide Research Consortium (W81XWH-10-2– 0181)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Homicide, Infanticide, and Child Abuse
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- suicidal ideation, suicide attempts, risk factors, Army soldiers, suicide planning, risk-taking, clinical decision support, suicide risk prediction, military personnel
- MeSH terms
- Female, Humans, Male, Military Personnel, Retrospective Studies, Risk Factors, ROC Curve, Suicide, Attempted, United States, Suicidal Ideation
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