Hostname: page-component-848d4c4894-xfwgj Total loading time: 0 Render date: 2024-07-05T16:19:53.721Z Has data issue: false hasContentIssue false

Correlation of dsm-5-based and hads self-reported depression phenotypes: Preliminary results of on-line survey in russian population cohort

Published online by Cambridge University Press:  13 August 2021

G. Rukavishnikov*
Affiliation:
Department Of Translational Psychiatry, V. M. Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russian Federation
A. Rakitko
Affiliation:
N/a, Genotek Ltd., Moscow, Russian Federation
E. Kasyanov
Affiliation:
Department Of Translational Psychiatry, V. M. Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russian Federation
V. Ilinsky
Affiliation:
N/a, Genotek Ltd., Moscow, Russian Federation
A. Kibitov
Affiliation:
V.P. Serbsky National Medical Research Center on Psychiatry and Addictions, Russia
G. Mazo
Affiliation:
Department Of Translational Psychiatry, V. M. Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russian Federation
N. Neznanov
Affiliation:
Department Of Geriatric Psychiatry, Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russian Federation
*
*Corresponding author.

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

To reduce the heterogeneity of depressive GWAS samples it seems relevant to evaluate and compare current instruments for depression phenotyping.

Objectives

The aim is to evaluate the agreement of DSM criteria and HADS scores in depression phenotyping for population studies.

Methods

The self-report data was obtained from 5116 clients (females 50,63%; mean age 36,92±9,82 years, Ме=42; Q1=35, Q3=76) of genetic testing company Genotek Ltd.. The respondents completed an on-line questionnaire with items on social status and biometrics. Depression phenotyping was based on DSM-5 criteria (life-time and current for major and bipolar depression) and HADS (current).

Results

Mean HADS scores were: HADS-A – 6,43±2,9, Ме=8; Q1=6, Q3=18; HADS-D – 4,5±2,83, Ме=6; Q1=4, Q3=17. Abnormal anxiety and depression (≥11 for each subscale) were present in 9% (N–456) and 3,4% (N–174) of respondents, respectively; borderline (8-10) – in 23% (N–1172) and 11,9% (N–592), respectively. The life-time report of major depression according to DSM-5 criteria was 17,6% (N–261) and of bipolar disorder – 8,3% (N–139). Moderate correlations were present for borderline HADS anxiety scores and DSM major depression (0.19, p<.01). Similar correlations of HADS anxiety scores were registered for DSM bipolar depression (0.20, p<.01). Moreover, HADS depression scores did not correlate with any DSM depressive phenotype.

Conclusions

Our study shows significant correlations only for DSM depression criteria and HADS anxiety, but not depression scores. It could indicate the different significance of individual scale items in depression phenotyping and the need for their separate further evaluation.

Conflict of interest

The research is supported by the Russian Scientific Fund grant #20-15-00132.

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), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.