Physical Health and Transition to Psychosis in People at Clinical High Risk

Author:

De Micheli Andrea12,Provenzani Umberto3,Krakowski Kamil134,Oliver Dominic1567ORCID,Damiani Stefano3,Brondino Natascia3ORCID,McGuire Philip567,Fusar-Poli Paolo1238

Affiliation:

1. Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AB, UK

2. OASIS Service, South London and Maudsley NHS Foundation Trust, London SE11 5DL, UK

3. Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy

4. Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AB, UK

5. Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK

6. NIHR Oxford Health Biomedical Research Centre, Oxford OX3 7JX, UK

7. OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford OX3 7JX, UK

8. Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, 80336 Munich, Germany

Abstract

Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (p = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk.

Publisher

MDPI AG

Reference130 articles.

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