Prospective prediction of nonsuicidal self-injury: a 1-year longitudinal study in young adults.

Prospective prediction of nonsuicidal self-injury: a 1-year longitudinal study in young adults.
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DOI:
10.1016/j.beth.2011.04.005
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发表时间:
2011-12
期刊:
影响因子:
3.7
通讯作者:
Klonsky ED
Klonsky ED
中科院分区:
心理学2区
文献类型:
--
作者:
Glenn CR;Klonsky ED

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非自杀性自伤(NSSI)已成为一个重要的公共卫生问题。虽然许多研究已经检查了NSSI的横截面心理相关性,但随着时间的推移,很少有研究检查NSSI的预测因素。本研究在81名年轻成人自伤者(男性年龄= 19岁,74.1%女性,51.9%白人)中检查了NSSI的横截面和纵向相关性,其中51人在1年后进行了随访。在基线时,参与者完成了NSSI,Axis-I障碍,边缘型人格障碍(BPD)和冲动的自我报告措施,以及NSSI态度和身份的内隐措施。一年后,参与者完成了一项时间轴跟踪方法,他们表明他们在过去12个月内参与了NSSI。分析复制了许多已知的NSSI相关性,包括几种Axis-I疾病和BPD的症状。然而,这些相同的变量中的许多未能预测1年随访期间的NSSI病程。前瞻性预测NSSI的唯一变量是过去的NSSI(即,频率,方法和最近的NSSI),参与者的行为预测,他们在未来的NSSI参与,和BPD功能。研究结果表明,许多横截面相关的NSSI可能是没有用的预测随后的NSSI。相反,NSSI严重程度和BPD特征似乎最能预测NSSI的持续参与。
Nonsuicidal self-injury (NSSI) has become a significant public health problem. Although numerous studies have examined cross-sectional psychological correlates of NSSI, there has been little research examining predictors of NSSI over time. The present study examined cross-sectional and longitudinal correlates of NSSI in 81 young adult self-injurers (M age = 19, 74.1% female, 51.9% Caucasian), 51 of whom were followed up 1 year later. At baseline, participants completed self-report measures of NSSI, Axis-I disorders, borderline personality disorder (BPD), and impulsivity, as well as an implicit measure of NSSI attitudes and identity. One year later, participants completed a Timeline Followback Method whereby they indicated their engagement in NSSI over the previous 12 months. Analyses replicated many known cross-sectional correlates of NSSI, including symptoms of several Axis-I disorders and BPD. However, many of these same variables failed to predict the course of NSSI over the 1-year follow-up. The only variables to prospectively predict NSSI were past NSSI (i.e., frequency, methods, and recency of NSSI), participants' behavioral forecast of their engagement in future NSSI, and BPD features. Findings suggest that many cross-sectional correlates of NSSI may not be useful for predicting subsequent NSSI. Instead, NSSI severity and BPD features appear to best predict continued engagement in NSSI.
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