Glenn Catherine R, Nock Matthew K
Department of Psychology, Harvard University, Cambridge, Massachusetts.
Department of Psychology, Harvard University, Cambridge, Massachusetts.
Am J Prev Med. 2014 Sep;47(3 Suppl 2):S176-80. doi: 10.1016/j.amepre.2014.06.004.
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.
美国国家预防自杀行动联盟研究优先排序特别工作组的理想目标3是预测谁在近期有自杀企图的风险。尽管数十年来致力于自杀及自杀行为的风险和保护因素研究,但令人惊讶的是,对于这些行为的短期预测知之甚少。在本文中,我们提出了几个问题,如果得到解答,可能会改善对自杀行为短期或即将发生风险的识别。第一,哪些因素可预测从自杀念头到自杀企图的转变?第二,哪些因素是未来数小时、数天或数周内促成这种转变的特别有力的预测因素?第三,自杀行为短期风险的最重要客观指标是什么?第四,哪种整合风险和保护因素信息的方法能产生最佳预测效果?我们建议,下一代关于自杀行为评估和预测的研究应从双变量风险和保护因素的横断面研究,转向旨在识别多变量短期预测指标、研究综合这些信息的方法以及测试预测和预防自杀事件能力的前瞻性研究。