Oct 26, 2018

The Maudsley Environmental Risk Score for Psychosis

BioRxiv : the Preprint Server for Biology
Evangelos VassosCraig Morgan

Abstract

Risk prediction algorithms have long been used in health research and practice (e.g., in prediction of cardiovascular disease, diabetes, etc.) However, similar tools have not been developed for mental health problems, despite extensive research on risk factors. For example, for psychotic disorders, attempts to sum environmental risk are rare, usually unsystematic and dictated by available data. In light of this, we sought to develop a valid, easy to use measure of the total environmental risk for psychotic disorders, which can be used in research and clinical practice. We first reviewed the literature to identify well-replicated and validated environmental risk factors for psychosis and, then, used the largest available meta-analyses to derive current best estimates of risk. We devised a method of scoring individuals based on the level of exposure to each risk factor, using odds ratios from the meta-analyses, to produce an Environmental Risk Score (ERS). Six risk factors (ethnic minority status, urbanicity, high paternal age, obstetric complications, cannabis use, and childhood adversity) were used to generate the ERS. A distribution for different levels of risk based on permuted data showed that most of population would be at ...Continue Reading

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Mentioned in this Paper

Research
Meta Analysis (Statistical Procedure)
Mental Health
Cardiovascular Diseases
Obstetric Disorders
Ethnic Group
Cannabis sativa plant
Diabetes
Literature
Amelogenesis Imperfecta Nephrocalcinosis

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