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Different phenotypic assessment of depression prevalence in Russian population: DSM-criteria vs HADS

Published online by Cambridge University Press:  01 September 2022

G. Rukavishnikov ,
A. Rakitko ,
E. Kasyanov ,
V. Ilinsky ,
N. Neznanov ,
A. Kibitov  and
G. Mazo
G. Rukavishnikov*
Affiliation:
Bekhterev National Medical Center for Psychiatry and Neurology, Translational Psychiatry, Saint-Petersburg , Russian Federation
A. Rakitko
Affiliation:
Genotek Ltd., N/a, Moscow, Russian Federation
E. Kasyanov
Affiliation:
Bekhterev National Medical Center for Psychiatry and Neurology, Translational Psychiatry, Saint-Petersburg , Russian Federation
V. Ilinsky
Affiliation:
Genotek Ltd., N/a, Moscow, Russian Federation
N. Neznanov
Affiliation:
Bekhterev National Medical Center for Psychiatry and Neurology, Geriatric Psychiatry, Saint-Petersburg , Russian Federation
A. Kibitov
Affiliation:
Serbsky National Medical Research Center on Psychiatry and Addictions, Molecular Genetics Laboratory, Moscow, Russian Federation
G. Mazo
Affiliation:
Bekhterev National Medical Center for Psychiatry and Neurology, Translational Psychiatry, Saint-Petersburg , Russian Federation
*
*Corresponding author.

Abstract

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Introduction

Because of different phenotypic approaches, data on depression prevalence is variable and controversial.

Objectives

The aim was to evaluate the prevalence of different depressive phenotypes in the Russian population (DSM criteria based self-report vs HADS questionnaire).

Methods

The data was from the on-line survey of 5116 clients of Genotek Ltd. (males - 50,63%; age - Me=35 (Q1-30;Q3-42)). The survey included questions on sex, age; sel-report adapted major depression DSM-V criteria questionnaire and depression subscale of Hospital Anxiety and Depression Scale.

Results

DSM Major depression phenotype was detected with moderately-high prevalence - 17,67% (N=904). The DSM depression phenotype was more prevalent in women (22,72%) compared to men (12,74%, p<0,001) and in younger individuals (10,18%, p<0,001) compared to older ones (6,16%). HADS-D clinical depression phenotype (score>11) was less prevalent (3,4%) with no significant differences for sex and age. However, the prevalence increased with HADS-D subclinical scores (>8) - 14,97%. HADS-D scores were higher in DSM-depression phenotype individuals compared to ones without DSM phenotype (5,822(3,221) vs. 3,893(2,437), p< 0,001).

Conclusions

Our results showed variable prevalence of depression with different phenotypic approaches. The differences could be associated with the clinical severity of the symptoms and the life-time evaluation in DSM compared to only current symptoms for HADS. Further research is needed to understand the factors affecting the phenotyping approaches and providing the most effective and valid instrument for depression prevalence evaluation. Research is supported by an RSF grant №20-15-00132.

Disclosure

Research is supported by an RSF grant №20-15-00132.

Keywords

DepressionphenotypingHADSEpidemiology
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S556
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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