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Meta-Analysis
. 2013 Feb;43(2):225-38.
doi: 10.1017/S0033291712000785. Epub 2012 Apr 30.

Childhood adversity in schizophrenia: a systematic meta-analysis

Affiliations
Meta-Analysis

Childhood adversity in schizophrenia: a systematic meta-analysis

S L Matheson et al. Psychol Med. 2013 Feb.

Abstract

Background: Childhood adversity is a putative risk factor for schizophrenia, although evidence supporting this suggestion is inconsistent and controversial. The aim of this review was to pool and quality assess the current evidence pertaining to childhood adversity in people with schizophrenia compared to other psychiatric disorders and to non-psychiatric controls.

Method: Included were case-control, cohort and cross-sectional studies. Medline, EMBASE and PsycINFO databases were searched. Study reporting was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist and pooled evidence quality was assessed by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

Results: Twenty-five studies met inclusion criteria. Moderate to high quality evidence suggests increased rates of childhood adversity in schizophrenia compared to controls [odds ratio (OR) 3.60, p < 0.00001]. Increased childhood adversity was also reported in schizophrenia compared to anxiety disorders (OR 2.54, p = 0.007), although the effect was not significant in the subgroup analysis of five studies assessing only sexual abuse. No differences in rates of childhood adversity were found between schizophrenia and affective psychosis, depression and personality disorders whereas decreased rates of childhood adversity were found in schizophrenia relative to dissociative disorders and post-traumatic stress disorder (OR 0.03, p < 0.0001).

Conclusions: This is the first meta-analysis to report a medium to large effect of childhood adversity in people with schizophrenia and to assess specificity for schizophrenia. Further research is required that incorporates longitudinal design and other potentially causal variables to assess additive and/or interactive effects.

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