• Login
    View Item 
    •   Home
    • Psychology
    • Faculty Research and Publications
    • Articles
    • View Item
    •   Home
    • Psychology
    • Faculty Research and Publications
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Effat University RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsPublisherJournalTypeDepartmentSupervisorThis CollectionPublication DateAuthorsTitlesSubjectsPublisherJournalTypeDepartmentSupervisorProfilesView

    My Account

    Login

    Statistics

    Display statistics

    Factors associated with coronavirus disease 2019 infection severity among a sample of Lebanese adults: Data from a cross-sectional study

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    HSR2-5-e654.pdf
    Size:
    808.9Kb
    Format:
    PDF
    Download
    Author
    Hallit, Souheil
    El Hayek, Elissar
    Abou Khalil, Rony
    Matar, Madonna
    Subject
    epidemiology; infectious diseases; public health; respiratory medicine.
    Date
    2022-05-23
    
    Metadata
    Show full item record
    Abstract
    Background and aims: Identification of factors responsible for severe illness related to coronavirus disease 2019 (COVID-19) could help in the early management of patients with high risk, especially in developing countries with poor medical care systems. To date, no data have been published concerning the factors associated with COVID-19 severity in Lebanon. In this study, we aimed at investigating the relation between sociodemographic variables, health status, and the clinical outcomes of COVID-19 in a sample of Lebanese adults. Methods: In our cross-sectional study, 1052 patients (563 male and 489 female, with the median age of 42.83 ± 17.88 years), tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between January and March 2021, were recruited from a hospital in Byblos, Lebanon. Basic demographic data, medical history, clinical data, and selfreported symptoms related to COVID-19 were collected. Clinical classification of COVID-19 severity was carried out according to the WHO interim guidance on May 27, 2020. Multi and bivariate regression analysis were performed. Results: When comparing patients with moderate symptoms versus mild, the results showed that older age (aOR = 1.05; 95% CI: 1.03-1.06) and having dyslipidemia (aOR = 1.89; 95% CI: 1.01-3.49) were significantly associated with higher odds of having moderate symptoms. When comparing patients with severe symptoms versus mild, older age (aOR = 1.08; 95% CI: 1.06-1.10), higher body mass index (aOR = 1.09; 95% CI: 1.04-1.15) and having respiratory diseases (aOR = 2.57; 95% CI: 1.03-6.36) were significantly associated with higher odds of having severe symptoms, whereas female gender (aOR = 0.56; 95% CI: 0.32-0.98) was significantly associated with lower odds of having severe symptoms compared to males. Finally, when comparing patients with severe symptoms versus moderate, older age (aOR = 1.03; 95% CI: 1.01-1.05) was found to be significantly associated with higher odds of having severe symptoms. Conclusion: Identification of risk factors may contribute to a better understanding of the COVID-19 pathogenesis and provide clinical reference for early prognosis and management of patients.
    Department
    Psychology
    Journal title
    Health Science Reports
    DOI
    10.1002/hsr2.654
    ae974a485f413a2113503eed53cd6c53
    10.1002/hsr2.654
    Scopus Count
    Collections
    Articles

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.