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Eating disorders in the structure of depressive states

Published online by Cambridge University Press:  01 September 2022

A. Barkhatova*
Affiliation:
Mental Health Research Center, Department Of Endogenous Mental Disorders And Affective Conditions, Moscow, Russian Federation
A. Smolnikova
Affiliation:
Mental Health Research Center, Department Of Endogenous Mental Disorders And Affective Conditions, Moscow, Russian Federation
S. Sorokin
Affiliation:
Mental Health Research Center, Department Of Endogenous Mental Disorders And Affective Conditions, Moscow, Russian Federation
*
*Corresponding author.

Abstract

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Introduction

Anorexia nervosa is a disease that occurs mainly in adolescent and young girls and is expressed in a conscious, extremely persistent and purposeful desire to lose weight, often reaching severe cachexia with a possible fatal outcome.

Objectives

Clinical and psychopathological analysis of eating disorders and modeling of clinical and dynamic patterns in terms of their association with depressive disorders, improving the criteria for nosological diagnosis, prognosis and therapy.

Methods

58 patients aged 15 to 25 years who were on outpatient and inpatient observation of the clinic were studied.

Results

It was found that eating disorders are divided into 2 types. The first type is an overvalued eating disorder. In this category, the depressive state developed either during the course of the eating disorder or preceded its development. The second type is delusional eating disorder. In this type, the development of the depressive state did not depend on the eating disorder and proceeded independently of it. At each of these levels, three types of dynamics were identified: narrative type of dynamics (44%), implicit type (25%) and type of selective dissociation (22.4%).

Conclusions

Eating disorders in the structure of depression are heterogeneous and have different degrees of association with depressive symptoms and different variants of the dynamics of their course. The revealed patterns make it possible to formulate a clearer idea of the prognosis of the disease as a whole and to optimize the algorithms for the therapeutic intervention of these conditions.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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