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P-1281 - the Impact Rct: Prevalence of Metabolic Syndrome in a Severely Mentally ill Cohort

Published online by Cambridge University Press:  15 April 2020

R.I. Ohlsen ,
Z. Atakan ,
S. Smith ,
P. Sood ,
E. Papanastasiou ,
A. Featherman ,
C. O’Brien ,
K. Greenwood ,
K. Ismail  and
G. Todd
...Show all authors
R.I. Ohlsen
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
Z. Atakan
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
S. Smith
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
P. Sood
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
E. Papanastasiou
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
A. Featherman
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
C. O’Brien
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
K. Greenwood
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
K. Ismail
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
G. Todd
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
M. Mushore
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
D. Stahl
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
R. Murray
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK
F. Gaughran
Affiliation:
Psychosis Studies, Institute of Psychiatry, Kings College London, London School of Psychology, University of Sussex, Brighton, London, UK Department of Psychological Medicine, Kings College, London, UK South London and Maudsley NHS Foundation Trust, London, UK Biostatistics and Computing, Institute of Psychiatry, Kings College London, London, UK

Abstract

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Introduction

The increased prevalence of metabolic syndrome in people with severe mental illness (SMI) is well documented. The International Diabetes Federation (IDF) criteria for metabolic syndrome are three or more of the following: waist circumference ( 80 cm (females), (94 cm (males) OR BMI (30, triglycerides >1.7 mmol/l or on treatment, raised blood pressure (systolic >130 mg Hg or diastolic >85 mm Hg, OR on treatment for hypertension), raised fasting blood glucose (.5.6 mmol/l) OR diagnosed type II diabetes) and reduced HDL cholesterol (< 1.03 mmol/l) OR on treatment.

The IMPACT RCT is a Department of Health funded trial of a health promotion intervention (HPI) delivered by care co-ordinators to people with SMI across South London, Kent and Sussex. The intervention is focussed on improving health by addressing modifiable lifestyle factors such as diet, physical activity, obesity, cigarette smoking, alcohol and substance use.

Objectives/aims

We investigated the prevalence of metabolic syndrome in a sample of 212 patients for whom we had relevant baseline measures.

Methods

Data (weight, BMI, waist circumference, blood pressure, fasting HDL cholesterol, triglycerides and glucose levels) were analysed on 212 patients.

Results

45% of the sample met IDF criteria for metabolic syndrome. Mean BMI was 30.6, glucose 6.4 mmol/L, triglycerides 2.0 mmol/L, HDL 1.2 (mmol/L), waist circumference 105.8 cm, and BP 122/82 mm Hg.

Conclusions

Metabolic syndrome was highly prevalent in this sample, significantly increasing the risk of physical morbidity and potentially lowering life expectancy. There is an unmet need for health promotion interventions in order to lower morbidity and mortality risk in these populations.

Type
Abstract
Information
European Psychiatry , Volume 27 , Issue S1: Abstracts of the 20th European Congress of Psychiatry , 2012 , pp. 1
Copyright
Copyright © European Psychiatric Association 2012
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