Publication:
Meta-analysis of risk factors for nonsuicidal self-injury

Thumbnail Image

Date

2015

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier BV
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Fox, Kathryn R., Joseph C. Franklin, Jessica D. Ribeiro, Evan M. Kleiman, Kate H. Bentley, and Matthew K. Nock. 2015. “Meta-Analysis of Risk Factors for Nonsuicidal Self-Injury.” Clinical Psychology Review 42 (December): 156–167. doi:10.1016/j.cpr.2015.09.002.

Research Data

Abstract

Nonsuicidal self-injury (NSSI) is a prevalent and dangerous phenomenon associated with many negative outcomes, including future suicidal behaviors. Research on these behaviors has primarily focused on correlates; however, an emerging body of research has focused on NSSI risk factors. To provide a summary of current knowledge about NSSI risk factors, we conducted a meta-analysis of published, prospective studies longitudinally predicting NSSI. This included 20 published reports across 5078 unique participants. Results from a random-effects model demonstrated significant, albeit weak, overall prediction of NSSI (OR = 1.59; 95% CI: 1.50 to 1.69). Among specific NSSI risk factors, prior history of NSSI, cluster b, and hopelessness yielded the strongest effects (ORs > 3.0); all remaining risk factor categories produced ORs near or below 2.0. NSSI measurement, sample type, sample age, and prediction case measurement type (i.e., binary versus continuous) moderated these effects. Additionally, results highlighted several limitations of the existing literature, including idiosyncratic NSSI measurement and few studies among samples with NSSI histories. These findings indicate that few strong NSSI risk factors have been identified, and suggest a need for examination of novel risk factors, standardized NSSI measure ment, and study samples with a history of NSSI.

Description

Keywords

Self-injury, NSSI, Risk factor, Meta-analysis, Longitudinal, Prediction

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Referenced By

Related Stories