Nock Matthew K, Banaji Mahzarin R
Department of Psychology, Harvard University, Cambridge, MA 02138, USA.
J Consult Clin Psychol. 2007 Oct;75(5):707-15. doi: 10.1037/0022-006X.75.5.707.
Suicide is a leading cause of death that is difficult to predict because clinical assessment has relied almost exclusively on individuals' self-report of suicidal thoughts. This is problematic because there often is motivation to conceal such thoughts. The authors tested the ability of the Self-Injury Implicit Association Test (SI-IAT), a reaction-time measure of implicit associations between self-injury and oneself, to detect and predict suicide ideation and attempts. Participants were adolescents who were nonsuicidal (n = 38), suicide ideators (n = 37), or recent suicide attempters (n = 14). Analyses revealed large between-group differences on the SI-IAT, with nonsuicidal adolescents showing large negative associations between self-injury and themselves, suicide ideators showing small positive associations, and suicide attempters showing large positive associations on this performance-based test. The SI-IAT accurately predicted current suicide ideation and attempt status as well as future suicide ideation, and it incrementally improved prediction of these outcomes above and beyond the use of known risk factors. Future research is needed to refine this assessment method and to further develop and examine performance-based assessment of suicide risk in clinical settings.
自杀是一种主要的死亡原因,难以预测,因为临床评估几乎完全依赖于个体对自杀想法的自我报告。这存在问题,因为人们往往有隐瞒此类想法的动机。作者测试了自我伤害内隐联想测验(SI-IAT),一种测量自我伤害与自身之间内隐联想的反应时间指标,检测和预测自杀意念及自杀未遂的能力。参与者为非自杀青少年(n = 38)、有自杀意念者(n = 37)或近期自杀未遂者(n = 14)。分析显示,在SI-IAT上存在显著的组间差异,在这项基于表现的测试中,非自杀青少年在自我伤害与自身之间表现出强烈的负相关,有自杀意念者表现出微弱的正相关,自杀未遂者表现出强烈的正相关。SI-IAT准确地预测了当前的自杀意念和未遂状态以及未来的自杀意念,并且在使用已知风险因素之外,它还逐步提高了对这些结果的预测能力。未来需要开展研究来完善这种评估方法,并进一步开发和检验临床环境中基于表现的自杀风险评估。