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理论能否预测入狱时的自杀过程?预测高危监狱人群自杀意念的动态风险因素。

Can theory predict the process of suicide on entry to prison? Predicting dynamic risk factors for suicide ideation in a high-risk prison population.

作者信息

Slade Karen, Edelman Robert

机构信息

<location>Division of Psychology, Nottingham Trent University, Nottingham, UK</location>

<location>Department of Psychology, University of Roehampton, London, UK</location>

出版信息

Crisis. 2014;35(2):82-9. doi: 10.1027/0227-5910/a000236.

Abstract

BACKGROUND

Each year approximately 110,000 people are imprisoned in England and Wales and new prisoners remain one of the highest risk groups for suicide across the world. The reduction of suicide in prisoners remains difficult as assessments and interventions tend to rely on static risk factors with few theoretical or integrated models yet evaluated.

AIMS

To identify the dynamic factors that contribute to suicide ideation in this population based on Williams and Pollock's (2001) Cry of Pain (CoP) model.

METHOD

New arrivals (N = 198) into prison were asked to complete measures derived from the CoP model plus clinical and prison-specific factors. It was hypothesized that the factors of the CoP model would be predictive of suicide ideation.

RESULTS

Support was provided for the defeat and entrapment aspects of the CoP model with previous self-harm, repeated times in prison, and suicide-permissive cognitions also key in predicting suicide ideation for prisoners on entry to prison.

CONCLUSION

An integrated and dynamic model was developed that has utility in predicting suicide in early-stage prisoners. Implications for both theory and practice are discussed along with recommendations for future research.

摘要

背景

每年约有11万人被关押在英格兰和威尔士的监狱中,新入狱者仍是全球自杀风险最高的群体之一。由于评估和干预往往依赖于静态风险因素,且很少有经过评估的理论或综合模型,因此降低囚犯自杀率仍然很困难。

目的

基于威廉姆斯和波洛克(2001年)的痛苦呼喊(CoP)模型,确定导致该人群自杀意念的动态因素。

方法

要求新入狱的囚犯(N = 198)完成从CoP模型以及临床和特定于监狱的因素中得出的测量。假设CoP模型的因素可预测自杀意念。

结果

CoP模型的挫败和陷入困境方面得到了支持,以前的自我伤害、在监狱中的次数、以及自杀许可认知也是预测囚犯入狱时自杀意念的关键因素。

结论

开发了一个综合动态模型,该模型在预测早期囚犯自杀方面具有实用性。讨论了对理论和实践的影响以及对未来研究的建议。

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