2021, Volume 14, Issue 2, pp 225 – 237

Knowledge, attitude and practice towards COVID-19 among individuals with associated comorbidities

SCImago Journal & Country Rank

Issues

Special Issues

Authors and Affiliations

* Corresponding Author: Dr. Shazina Saeed, Laboratory of Disease Dynamics and Molecular Epidemiology, Amity Institute of Public Health, Amity University, Uttar Pradesh, Noida, India. E-mail: ssaeed@amity.edu

Abstract

The recent outbreak of coronavirus disease 2019 (COVID-19) is the worst global crisis after World War II. Since the vaccine trials are still ongoing, the national lockdowns have been the most effective way to contain its spread. The pandemic has been extremely stressful and full of anxiety for those with comorbidities as they are the most vulnerable to the COVID-19 infections. Various efforts to assess and enhance the knowledge, attitudes, and practice, especially the high-risk groups, are critical to managing the COVID-19 pandemic successfully. A cross-sectional online survey was carried out using a self-designed questionnaire. A total of 383 participants who were 30 years or older, with at least one comorbidity, were included in the study. The mean age of the participants was 50.63±11.83 years. The most common comorbidities among the included participants were hypertension, followed by diabetes mellitus and thyroid disorders (48.5%, 44.7% and 23.3%, respectively). Our study also showed the education (p=0.004) and occupation (p=0.04) had a significant association with the attitude and practices towards the COVID-19 pandemic. In conclusion, our study showed that a high level of knowledge, attitude, and practices are the backbone to combat a global crisis like COVID-19.

Keywords

About this article

PMC ID: 8169138
PubMed ID: 34104246
DOI: 10.25122/jml-2020-0184

Article Publishing Date (print): Mar-Apr 2021
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


SCImago Journal & Country Rank

Issues

Special Issues