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Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms

INTRODUCTION: The age at onset of depression is not only an important clinical predictor of the further disease course, but also a robust marker, reflecting the genetic impact on depression risk. OBJECTIVES: This study aimed to find whether early-onset depression had an association with specific cli...

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Autores principales: Kasyanov, E., Rukavishnikov, G., Nikolishin, A., Gareeva, A., Savitskaya, K., Kazantseva, A., Kretsu, A., Soldatkin, V., Lezheyko, T., Golimbet, V., Neznanov, N., Kibitov, A., Mazo, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563673/
http://dx.doi.org/10.1192/j.eurpsy.2022.392
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author Kasyanov, E.
Rukavishnikov, G.
Nikolishin, A.
Gareeva, A.
Savitskaya, K.
Kazantseva, A.
Kretsu, A.
Soldatkin, V.
Lezheyko, T.
Golimbet, V.
Neznanov, N.
Kibitov, A.
Mazo, G.
author_facet Kasyanov, E.
Rukavishnikov, G.
Nikolishin, A.
Gareeva, A.
Savitskaya, K.
Kazantseva, A.
Kretsu, A.
Soldatkin, V.
Lezheyko, T.
Golimbet, V.
Neznanov, N.
Kibitov, A.
Mazo, G.
author_sort Kasyanov, E.
collection PubMed
description INTRODUCTION: The age at onset of depression is not only an important clinical predictor of the further disease course, but also a robust marker, reflecting the genetic impact on depression risk. OBJECTIVES: This study aimed to find whether early-onset depression had an association with specific clinical symptoms, comorbid psychiatric disorders and family history of mood disorders. METHODS: This pilot cross-sectional, multicenter study was performed under the supervision of the Russian National Consortium for Psychiatric Genetics. Early-onset depression was defined as the first depressive episode before the median age of onset in the sample (Me=29 years). Logistic regression models were used to determine the independent association of early-onset depression, after adjusting for the effects of sex and age, with binary characteristics. RESULTS: A total of 172 patients with depression were enrolled in the study (64.5% women; age - 40.9 (15.9) years). Early-onset depression was associated with psychomotor retardation (p=0,025; OR=2,3; 95%CI [1,1 - 4,9]), decreased libido (p=0,014; OR=2,8; 95%CI [1,2 - 6,2]), and lower prevalence of weight loss/decreased appetite (p=0,011; OR=0,4; 95%CI [0,2 - 0,8]). No associations were found with the history of comorbid psychiatric disorders and the family history of mood disorders. CONCLUSIONS: Early-onset depression is associated with specific neurovegetative symptoms. Further clinical and genetic studies are needed to evaluate the specific effects of age at onset of depression on its clinical course. DISCLOSURE: Research is supported by an RSF grant №20-15-00132.
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spelling pubmed-95636732022-10-17 Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms Kasyanov, E. Rukavishnikov, G. Nikolishin, A. Gareeva, A. Savitskaya, K. Kazantseva, A. Kretsu, A. Soldatkin, V. Lezheyko, T. Golimbet, V. Neznanov, N. Kibitov, A. Mazo, G. Eur Psychiatry Abstract INTRODUCTION: The age at onset of depression is not only an important clinical predictor of the further disease course, but also a robust marker, reflecting the genetic impact on depression risk. OBJECTIVES: This study aimed to find whether early-onset depression had an association with specific clinical symptoms, comorbid psychiatric disorders and family history of mood disorders. METHODS: This pilot cross-sectional, multicenter study was performed under the supervision of the Russian National Consortium for Psychiatric Genetics. Early-onset depression was defined as the first depressive episode before the median age of onset in the sample (Me=29 years). Logistic regression models were used to determine the independent association of early-onset depression, after adjusting for the effects of sex and age, with binary characteristics. RESULTS: A total of 172 patients with depression were enrolled in the study (64.5% women; age - 40.9 (15.9) years). Early-onset depression was associated with psychomotor retardation (p=0,025; OR=2,3; 95%CI [1,1 - 4,9]), decreased libido (p=0,014; OR=2,8; 95%CI [1,2 - 6,2]), and lower prevalence of weight loss/decreased appetite (p=0,011; OR=0,4; 95%CI [0,2 - 0,8]). No associations were found with the history of comorbid psychiatric disorders and the family history of mood disorders. CONCLUSIONS: Early-onset depression is associated with specific neurovegetative symptoms. Further clinical and genetic studies are needed to evaluate the specific effects of age at onset of depression on its clinical course. DISCLOSURE: Research is supported by an RSF grant №20-15-00132. Cambridge University Press 2022-09-01 /pmc/articles/PMC9563673/ http://dx.doi.org/10.1192/j.eurpsy.2022.392 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Abstract
Kasyanov, E.
Rukavishnikov, G.
Nikolishin, A.
Gareeva, A.
Savitskaya, K.
Kazantseva, A.
Kretsu, A.
Soldatkin, V.
Lezheyko, T.
Golimbet, V.
Neznanov, N.
Kibitov, A.
Mazo, G.
Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title_full Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title_fullStr Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title_full_unstemmed Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title_short Early-Onset Depression Is Associated With Specific Neurovegetative Symptoms
title_sort early-onset depression is associated with specific neurovegetative symptoms
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563673/
http://dx.doi.org/10.1192/j.eurpsy.2022.392
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