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实时自伤思想和行为的情绪调节功能的荟萃分析。

A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours.

机构信息

Department of Psychology, University of Washington, Seattle, WA, USA.

Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.

出版信息

Nat Hum Behav. 2022 Jul;6(7):964-974. doi: 10.1038/s41562-022-01340-8. Epub 2022 Apr 28.

Abstract

Prominent theories suggest that self-injurious thoughts and behaviours are negatively reinforced by decreased negative affect. The present meta-analysis quantifies effects from intensive longitudinal studies measuring negative affect and self-injurious thoughts and behaviours. We obtained data from 38 of the 79 studies (48%, 22 unique datasets) involving N = 1,644 participants (80% female, 75% white). Individual-participant data meta-analyses revealed changes in affect pre/post self-injurious thoughts and behaviours. In antecedent models, results supported increased negative affect before nonsuicidal self-injurious behaviour (k = 14, 95% CI 0.09 to 0.31) and suicidal thoughts (k = 14, 95% CI 0.03 to 0.19). For consequence models, negative affect was reduced following nonsuicidal self-injurious thoughts (k = 6, 95% CI -0.79 to -0.44), nonsuicidal self-injurious behaviours (k = 14, 95% CI -0.73 to -0.19) and suicidal thoughts (k = 13, 95% CI -0.79 to -0.23). Findings, which were not moderated by sampling strategies or sample composition, support the affect regulation function of self-injurious thoughts and behaviours.

摘要

主流理论认为,自我伤害的想法和行为通过减少负面情绪而得到负强化。本荟萃分析量化了通过密集的纵向研究来衡量负面情绪和自我伤害的想法和行为的效果。我们从涉及 N=1644 名参与者(80%为女性,75%为白人)的 79 项研究中的 38 项研究中获得了数据(48%,22 个独特数据集)。个体参与者数据荟萃分析揭示了自我伤害的想法和行为前后的情绪变化。在先行模型中,结果支持非自杀性自我伤害行为(k=14,95%CI 0.09 至 0.31)和自杀性想法(k=14,95%CI 0.03 至 0.19)之前的负面情绪增加。对于后果模型,非自杀性自我伤害的想法(k=6,95%CI-0.79 至-0.44)、非自杀性自我伤害行为(k=14,95%CI-0.73 至-0.19)和自杀性想法(k=13,95%CI-0.79 至-0.23)后,负面情绪会减少。这些发现不受采样策略或样本组成的影响,支持自我伤害的想法和行为的情绪调节功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4670/9329197/2cf4e61323d6/nihms-1790441-f0001.jpg

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