School of Psychology, Ulster University, Coleraine, Northern Ireland.
Psychol Med. 2019 Nov;49(15):2591-2599. doi: 10.1017/S0033291718003562. Epub 2018 Dec 3.
Death by suicide is often preceded by attempted suicide, suicidal ideation and non-suicidal self-injury. These extreme thoughts and behaviours have been considered in terms of a continuum of suicidality. Little known research, however, has considered a suicide continuum that extends beyond these extreme thoughts and behaviours and incorporates a much wider array of phenomena that may vary in severity and may constitute a broader negative self-evaluation (NSE) continuum.
Harvesting key indicators of NSE from a British epidemiological survey (N = 8580), the current study used exploratory factor analysis, confirmatory factor analysis and factor mixture modelling to (i) identify the dimensional structure of NSE in the general population and (ii) profile the distribution of the resultant NSE dimensions. Multinomial logistic regression was then used to differentiate between classes using an array of risk variables, psychopathology outcome variables and a suicide attempt indicator.
A 4-factor model that reflected graded levels of NSE was identified; (F1) Low self-worth & subordination (F2) depression, (F3) suicidal thoughts, (F4) self-harm (SH). Seven classes suggested a clear pattern of NSE severity. Classes characterised by higher levels across the dimensions exhibited greater risk and poorer outcomes. The greatest risk for suicide attempt was associated with a class characterised by engagement in SH behaviour.
Low self-worth, subordination and depression, while representative of distinct groups in the population are also highly prevalent in those who entertain suicidal thoughts and engage in SH behaviour. The findings promote further investigation into the genesis and evolution of suicidality and internal threat.
自杀死亡通常先于自杀未遂、自杀意念和非自杀性自伤。这些极端的想法和行为被认为是自杀倾向的连续体。然而,鲜为人知的研究已经考虑了一个自杀连续体,它不仅包括这些极端的想法和行为,还包括了更广泛的可能在严重程度上有所不同的现象,并可能构成更广泛的负面自我评估(NSE)连续体。
从英国一项流行病学调查(N=8580)中提取 NSE 的关键指标,本研究使用探索性因素分析、验证性因素分析和因素混合建模,(i)确定一般人群中 NSE 的维度结构,(ii)分析所得 NSE 维度的分布情况。然后使用多项逻辑回归,使用一系列风险变量、精神病理学结果变量和自杀企图指标对类进行区分。
确定了一个反映 NSE 分级水平的 4 因素模型;(F1)低自我价值感和服从,(F2)抑郁,(F3)自杀意念,(F4)自伤(SH)。七个类别的 NSE 严重程度呈现出清晰的模式。在各个维度上表现出更高水平的类别表现出更大的风险和更差的结果。与 SH 行为相关的类别与自杀企图的最大风险相关。
低自我价值感、服从和抑郁虽然代表了人群中的不同群体,但在那些有自杀意念和从事 SH 行为的人群中也很普遍。研究结果促进了对自杀倾向的起源和演变以及内部威胁的进一步研究。