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Symptoms and risk factors for long COVID in Tunisian population
BACKGROUND: The COVID-19 pandemic has presented various challenges, one of which is the discovery that after the acute episode, around 30% of patients experience persistent symptoms or develop new ones, now known as long COVID. This new disease has significant social and financial impacts. The objec...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184965/ https://www.ncbi.nlm.nih.gov/pubmed/37189141 http://dx.doi.org/10.1186/s12913-023-09463-y |
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author | Chelly, Souhir Rouis, Sourour Ezzi, Olfa Ammar, Asma Fitouri, Sami Soua, Asma Fathallah, Ines Njah, Mansour Mahjoub, Mohamed |
author_facet | Chelly, Souhir Rouis, Sourour Ezzi, Olfa Ammar, Asma Fitouri, Sami Soua, Asma Fathallah, Ines Njah, Mansour Mahjoub, Mohamed |
author_sort | Chelly, Souhir |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has presented various challenges, one of which is the discovery that after the acute episode, around 30% of patients experience persistent symptoms or develop new ones, now known as long COVID. This new disease has significant social and financial impacts. The objective is to determine the prevalence of long COVID in the Tunisian population and identify its predictive factors. METHODS: This was a cross-sectional study conducted among Tunisians who were infected with COVID-19 between March 2020 and February 2022. An online self-administered questionnaire was distributed through social media, radio, and television channels over the course of one month (February 2022). Long COVID was defined as the persistence of existing symptoms or the development of new symptoms within three months after onset, lasting for at least two months, and with no differential diagnosis. We performed univariate and multivariate analyses using binary stepwise logistic regression with a significance level set at 5%. RESULTS: A total of 1911 patients participated in our study, and the prevalence of long COVID was 46.5%. The two most frequent categories were general and neurological post-COVID syndrome, with a prevalence of 36.7% each. The most commonly observed symptoms were fatigue (63.7%) and memory problems (49.1%). In the multivariate analysis, the predictive factors for long COVID were female gender and age of 60 years or older, while complete anti-COVID vaccination was found to be a protective factor. CONCLUSIONS: Our study found that complete vaccination was a protective factor against long COVID, while female gender and age of 60 years or older were identified as the main risk factors. These findings are consistent with studies conducted on other ethnic groups. However, many aspects of long COVID remain unclear, including its underlying mechanisms, the identification of which could guide the development of potential effective treatments. |
format | Online Article Text |
id | pubmed-10184965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101849652023-05-16 Symptoms and risk factors for long COVID in Tunisian population Chelly, Souhir Rouis, Sourour Ezzi, Olfa Ammar, Asma Fitouri, Sami Soua, Asma Fathallah, Ines Njah, Mansour Mahjoub, Mohamed BMC Health Serv Res Research BACKGROUND: The COVID-19 pandemic has presented various challenges, one of which is the discovery that after the acute episode, around 30% of patients experience persistent symptoms or develop new ones, now known as long COVID. This new disease has significant social and financial impacts. The objective is to determine the prevalence of long COVID in the Tunisian population and identify its predictive factors. METHODS: This was a cross-sectional study conducted among Tunisians who were infected with COVID-19 between March 2020 and February 2022. An online self-administered questionnaire was distributed through social media, radio, and television channels over the course of one month (February 2022). Long COVID was defined as the persistence of existing symptoms or the development of new symptoms within three months after onset, lasting for at least two months, and with no differential diagnosis. We performed univariate and multivariate analyses using binary stepwise logistic regression with a significance level set at 5%. RESULTS: A total of 1911 patients participated in our study, and the prevalence of long COVID was 46.5%. The two most frequent categories were general and neurological post-COVID syndrome, with a prevalence of 36.7% each. The most commonly observed symptoms were fatigue (63.7%) and memory problems (49.1%). In the multivariate analysis, the predictive factors for long COVID were female gender and age of 60 years or older, while complete anti-COVID vaccination was found to be a protective factor. CONCLUSIONS: Our study found that complete vaccination was a protective factor against long COVID, while female gender and age of 60 years or older were identified as the main risk factors. These findings are consistent with studies conducted on other ethnic groups. However, many aspects of long COVID remain unclear, including its underlying mechanisms, the identification of which could guide the development of potential effective treatments. BioMed Central 2023-05-15 /pmc/articles/PMC10184965/ /pubmed/37189141 http://dx.doi.org/10.1186/s12913-023-09463-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chelly, Souhir Rouis, Sourour Ezzi, Olfa Ammar, Asma Fitouri, Sami Soua, Asma Fathallah, Ines Njah, Mansour Mahjoub, Mohamed Symptoms and risk factors for long COVID in Tunisian population |
title | Symptoms and risk factors for long COVID in Tunisian population |
title_full | Symptoms and risk factors for long COVID in Tunisian population |
title_fullStr | Symptoms and risk factors for long COVID in Tunisian population |
title_full_unstemmed | Symptoms and risk factors for long COVID in Tunisian population |
title_short | Symptoms and risk factors for long COVID in Tunisian population |
title_sort | symptoms and risk factors for long covid in tunisian population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184965/ https://www.ncbi.nlm.nih.gov/pubmed/37189141 http://dx.doi.org/10.1186/s12913-023-09463-y |
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