Publication:
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)

No Thumbnail Available

Date

2018-02

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

American Psychological Association (APA)
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Nock, Matthew K., Alexander J. Millner, Thomas E. Joiner, Peter M. Gutierrez, Georges Han, Irving Hwang, Andrew King, James A. Naifeh, Nancy A. Sampson, Alan M. Zaslavsky, Murray B. Stein, Robert J. Ursano, and Ronald C. Kessler. 2017. 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). Journal of Abnormal Psychology.

Research Data

Abstract

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 U.S. 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 (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.

Description

Other Available Sources

Keywords

Clinical Psychology

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Referenced By

Related Stories