Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-19T08:17:05.206Z Has data issue: false hasContentIssue false
  • English
  • Français

Prevalence and predictors of metabolic syndrome in a sample of Italian psychiatric inpatients

Published online by Cambridge University Press:  23 March 2020

L. Fusar-Poli ,
N. Brondino ,
M. Rocchetti ,
M. Ballerio ,
M. Vercesi ,
F. Grasso  and
P. Politi
N. Brondino
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy
M. Rocchetti
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy
M. Ballerio
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy
M. Vercesi
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy
F. Grasso
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy
P. Politi
Affiliation:
University of Pavia, Department of Brain and Behavioral Sciences, Pavia, Italy

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Psychiatric population is characterized by a higher prevalence of cardiovascular events compared to general population. This difference might be due, in part, to the metabolic adverse effects of psychotropic agents, and, in part, to common risk factors such as smoking, sedentary lifestyle and unhealthy diet. Another potential risk factor is represented by the presence of metabolic syndrome (MetS).

Objectives

We aimed to evaluate the prevalence of MetS and to identify the baseline predictors for the longitudinal development of MetS in a sample of Italian psychiatric inpatients.

Methods

Medical records of 343 patients admitted to our psychiatric ward between 2007 and 2012 were retrospectively reviewed.

Results

Prevalence of MetS was 21.5%. MetS appeared directly associated with age and number of medication assumed. ROC curves showed HDL as the best predictor of metabolic syndrome in our sample.

Conclusions

Our results confirm previous data on the association between metabolic syndrome and exposure to complex polytherapy. Additionally, our findings support the notion of psychiatric patients as an at-risk group for metabolic abnormalities, which should be carefully monitored.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
e-Poster viewing: Comorbidity/dual pathologies
Information
European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. S472
Copyright
Copyright © European Psychiatric Association 2017
Submit a response

Comments

No Comments have been published for this article.