2013, Volume 6, Issue 1, pp 45 – 49

Metabolic imbalance in affective disorders

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Authors and Affiliations

Correspondence to:: Maria Ladea MD, PhD "Prof. Dr. Alexandru Obregia" Clinical Hospital of Psychiatry 10-12 Berceni Street, Bucharest, Romania E-mail: marialadea@gmail.com

Abstract

Introduction: Depression is the most frequent mental disorder encountered in all medical services. Multiple studies have shown that depression may predict the onset of different conditions, such as heart disease, diabetes, stroke and many other. The relation between depression and diabetes is still unclear.

Materials and methods: In this study we evaluated patients with both major depressive disorder and type 1 or 2 diabetes, and observed the evolution of depressive and diabetes symptoms under adequate treatment.

This observational, naturalistic study included 43 patients admitted in a psychiatric ward of “Alexandru Obregia” Clinical Hospital, Bucharest, diagnosed with Major Depressive Disorder (MDD) and Diabetes mellitus (DM) type 1 or 2. All patients received antidepressant and antidiabetic treatment.

Results: The majority of patients were women (60.5%), and the mean age was 49.7 years. Average hospitalization period was 23 days, with longer period of hospitalization of patients with DM type 1. Patients had severe depression. Mean value of fasting glycemia at admission was of 174 mg / dl, but it decreased at discharge, in paralel with the amelioration of depression.

Conclusions: The depression associated with DM type 1 is more severe. These patients require higher doses of antidepressants and longer hospitalization period. Amelioration of depression seems to have a positive impact on the blood sugar level of depressed patients with diabetes.

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About this article

PMC ID: 3624645
PubMed ID: 23599818
DOI: 

Article Publishing Date (print): 15-03-2013
Available Online: 25-03-2013

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


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