Psychotic-like experiences and non-suicidal self-injury in the community population: a systematic review and meta-analysis

BACKGROUND: The aim of the study was to systematically examine the association between psychotic-like experiences (PLEs) and non-suicidal self-injury (NSSI) in community populations through meta-analysis, with a focus on prospective evidence regarding this association and potential psychosocial correlates. METHODS: A comprehensive search was conducted in PubMed, PsycINFO, and Embase from inception to August 2025. Studies reporting quantitative data on the association between PLEs and NSSI in community populations were included. A random-effects meta-analysis was performed to estimate the pooled odds ratio (OR) with 95% confidence interval (CI). This association was further examined through a preliminary prospective meta-analysis of two longitudinal studies reporting adjusted odds ratios for the prediction of incident NSSI by baseline PLEs. Potential sources of heterogeneity were explored by exploratory subgroup analyses across study design, geographical region, gender composition, NSSI assessment methods, and assessment time window match between PLEs and NSSI. RESULTS: Eight studies involving 19,719 participants were included in the meta-analysis, and an additional eleven studies were included in the narrative synthesis. Individuals with PLEs had a significantly increased odds of NSSI compared to those without PLEs (OR = 3.09, 95% CI [2.05-4.66], p < 0.001). A prospective analysis of two longitudinal studies indicated that baseline PLEs significantly predicted incident NSSI at follow-up (OR = 2.17, 95% CI [1.56-3.02]). The estimated prevalence of PLEs and NSSI in community populations was 11.0% (95% CI [7.9%-15.2%]) and 6.9% (95% CI [4.3%-11.1%]), respectively. Narrative synthesis suggested that depressive symptoms, childhood adversity, bullying victimization, and pandemic-related stress were associated with higher odds of NSSI, whereas social support was associated with lower odds. CONCLUSIONS: The findings demonstrate a robust association between PLEs and NSSI in community populations. Preliminary prospective evidence from a limited number of longitudinal studies further suggests that baseline PLEs may predict incident NSSI at follow-up, although this finding warrants confirmation in future research.

Authors

Institutions

Publication Details

Journal
Child and Adolescent Psychiatry and Mental Health
Published
2026-05-27
DOI
https://doi.org/10.1186/s13034-026-01103-7
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychotic-like experiences and non-suicidal self-injury in the community population: a systematic review and meta-analysis

Tingting Zhao, Chenxi Wang, Rite Si, Mathangie Gananathan et al.
Child and Adolescent Psychiatry and Mental Health
Suicide and Self-Harm Studies
article

Psychotic-like experiences and non-suicidal self-injury in the community population: a systematic review and meta-analysis

Tingting Zhao, Chenxi Wang, Rite Si, Mathangie Gananathan, Chuanyue Wang, Hang Liu, Yushen Ding, Qijing Bo, Fuchun Zhou, Hexuan Liu
article en

Abstract

BACKGROUND: The aim of the study was to systematically examine the association between psychotic-like experiences (PLEs) and non-suicidal self-injury (NSSI) in community populations through meta-analysis, with a focus on prospective evidence regarding this association and potential psychosocial correlates. METHODS: A comprehensive search was conducted in PubMed, PsycINFO, and Embase from inception to August 2025. Studies reporting quantitative data on the association between PLEs and NSSI in community populations were included. A random-effects meta-analysis was performed to estimate the pooled odds ratio (OR) with 95% confidence interval (CI). This association was further examined through a preliminary prospective meta-analysis of two longitudinal studies reporting adjusted odds ratios for the prediction of incident NSSI by baseline PLEs. Potential sources of heterogeneity were explored by exploratory subgroup analyses across study design, geographical region, gender composition, NSSI assessment methods, and assessment time window match between PLEs and NSSI. RESULTS: Eight studies involving 19,719 participants were included in the meta-analysis, and an additional eleven studies were included in the narrative synthesis. Individuals with PLEs had a significantly increased odds of NSSI compared to those without PLEs (OR = 3.09, 95% CI [2.05-4.66], p < 0.001). A prospective analysis of two longitudinal studies indicated that baseline PLEs significantly predicted incident NSSI at follow-up (OR = 2.17, 95% CI [1.56-3.02]). The estimated prevalence of PLEs and NSSI in community populations was 11.0% (95% CI [7.9%-15.2%]) and 6.9% (95% CI [4.3%-11.1%]), respectively. Narrative synthesis suggested that depressive symptoms, childhood adversity, bullying victimization, and pandemic-related stress were associated with higher odds of NSSI, whereas social support was associated with lower odds. CONCLUSIONS: The findings demonstrate a robust association between PLEs and NSSI in community populations. Preliminary prospective evidence from a limited number of longitudinal studies further suggests that baseline PLEs may predict incident NSSI at follow-up, although this finding warrants confirmation in future research.

Child and Adolescent Psychiatry and Mental Health
Second Affiliated Hospital of Dalian Medical University (CN), Beijing Anding Hospital (CN), Dali University (CN)
National Natural Science Foundation of China
Gender equality
Openalex Percentile: Top 5%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.