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Affective state of people suffering from long covid and associated factors. Cross-sectional descriptive study

Published online by Cambridge University Press:  19 July 2023

B. Oliván-Blázquez ,
M. Samper-Pardo ,
S. León-Herrera ,
A. Aguilar-Latorre ,
F. López-Mendez  and
R. Magallón-Botaya
B. Oliván-Blázquez*
Affiliation:
University of Zaragoza
M. Samper-Pardo
Affiliation:
University of Zaragoza
S. León-Herrera
Affiliation:
University of Zaragoza
A. Aguilar-Latorre
Affiliation:
Institute for Health Research Aragón, Zaragoza, Spain
F. López-Mendez
Affiliation:
Institute for Health Research Aragón, Zaragoza, Spain
R. Magallón-Botaya
Affiliation:
University of Zaragoza
*
*Corresponding author.

Abstract

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Introduction

The “Post-COVID Syndrome” affects approximately 10% of people who have been infected with Covid-19. These people have a physical and mental impact.

Objectives

The objective of this study is to analyze factors related to poorer mental health in these patients from primary health care.

Methods

Cross-sectional study. The study population was post-COVID-19 patients aged 18 years or older and treated by Primary Health Care (PHC). The main variable was Affective state through the Hospital Anxiety and Depression Scale (HADS) questionnaire. The rest of the variables were: Socio-demographic variables, number of residual symptoms, cognitive using the Montreal Cognitive Assessment (MoCA), physical functioning variable will be measured by Sit to Stand Test and Sleep quality through the Insomnia Severity Index (ISI). A bivariate analysis and also a lineal multivariate model were developed. Ethics approval was granted by the Clinical Research Ethics Committee of Aragón (PI21/139 and PI21/454).

Results

A total of 100 individuals participated, of whom, 80 were women and 20 were men. The median scores in HADS was 16 and the interquartile range was 12. Multilevel analysis shows that better physical functioning (sit to stand test) and worse sleep quality (Insomnia severity index) are predictors of worse affective state. The models explain 36.5% of the HADS variance.

Conclusions

It is relevant to take account these variables in the treatment of the affective state of patients with long covid.

Disclosure of Interest

None Declared

Type
Abstract
Information
European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S778 - S779
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 (https://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), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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