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内隐认知测验在自杀风险评估中的应用:系统评价。

Implicit Cognition Tests for the Assessment of Suicide Risk: a Systematic Review.

机构信息

Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.

Universidad Autónoma de Madrid, Madrid, Spain.

出版信息

Curr Psychiatry Rep. 2022 Feb;24(2):141-159. doi: 10.1007/s11920-022-01316-5. Epub 2022 Feb 12.

DOI:10.1007/s11920-022-01316-5
PMID:35150387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8852938/
Abstract

PURPOSE OF REVIEW

Suicide risk assessment is a challenge in clinical practice. Implicit measures may present with advantages with respect to explicit methods, and therefore may be useful for the assessment of suicide risk. We conducted a systematic review of 2 databases (PubMed and EMBASE) about implicit tests that measure suicide risk to explore their validity and reliability.

RECENT FINDINGS

Initial research revealed 321 articles. After the selection process, 31 articles were included in the review. The most death-related implicit cognition test used was the Death/Suicide Implicit association test (D/S IAT), followed by the Suicide Stroop Task. The Suicide Affect Misattribution Procedure (S-AMP) and the Death version of the Implicit Relational Assessment Procedure (D-IRAP) were also used. We found that the measures reviewed were generally valid for the assessment of past and future suicidal thoughts and behaviors, with statistically significant results regarding retrospective and prospective associations.

摘要

目的综述

自杀风险评估是临床实践中的一个挑战。内隐测量相对于外显方法可能具有优势,因此可能有助于评估自杀风险。我们对 2 个数据库(PubMed 和 EMBASE)进行了系统综述,以探讨测量自杀风险的内隐测试的有效性和可靠性。

最近的发现

初步研究显示有 321 篇文章。经过选择过程,有 31 篇文章被纳入综述。使用最多的与死亡相关的内隐认知测试是死亡/自杀内隐联想测验(D/S IAT),其次是自杀 Stroop 任务。自杀情感归因程序(S-AMP)和内隐关联评估程序的死亡版本(D-IRAP)也被使用。我们发现,所综述的测量方法通常可用于评估过去和未来的自杀意念和行为,其在回顾性和前瞻性关联方面具有统计学意义的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ed/8852938/e3daa8851785/11920_2022_1316_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ed/8852938/e3daa8851785/11920_2022_1316_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ed/8852938/e3daa8851785/11920_2022_1316_Fig1_HTML.jpg

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