Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Sep 30:14:4057-4066.
doi: 10.2147/IDR.S331470. eCollection 2021.

Lifestyle and Comorbidity-Related Risk Factors of Severe and Critical COVID-19 Infection: A Comparative Study Among Survived COVID-19 Patients in Bangladesh

Faroque Md Mohsin  1   2 , Ridwana Nahrin  2 , Tajrin Tahrin Tonmon  2 , Maherun Nesa  3 , Sharmin Ahmed Tithy  1 , Shuvajit Saha  4 , Mahmudul Mannan  5 , Md Shahjalal  2 , Mohammad Omar Faruque  6 , Mohammad Delwer Hossain Hawlader  2
Affiliations

Lifestyle and Comorbidity-Related Risk Factors of Severe and Critical COVID-19 Infection: A Comparative Study Among Survived COVID-19 Patients in Bangladesh

Faroque Md Mohsin et al. Infect Drug Resist. .

Abstract

Background: Severe COVID-19 infections have already taken more than 4 million lives worldwide. Factors, such as socio-demographics, comorbidities, lifestyles, environment, and so on, have been widely discussed to be associated with increased severity in many countries. The study aimed to determine the risk factors of severe-critical COVID-19 in Bangladesh.

Methods: This was a comparative cross-sectional study among various types of COVID-19 patients (both hospitalized and non-hospitalized) confirmed by reverse transcription polymerase chain reaction (RT-PCR). We have selected 1500 COVID-19 positive patients using a convenient sampling technique and analyzed lifestyle and comorbidity-related data using IBM SPSS-23 statistical package software. Chi-square test and multinomial logistic regression were used to determine risk factors of life-threatening COVID-19 infection.

Results: The mean age of the study participants was 43.23 (±15.48) years. The study identified several lifestyle-related factors and common commodities as risk factors for severe-critical COVID-19. The patient's age was one of the most important predictors, as people >59 years were at higher risk (AOR=18.223). Among other lifestyle factors, active smoking (AOR=1.482), exposure to secondary smoking (AOR=1.728), sleep disturbance (AOR=2.208) and attachment with SLT/alcohol/substance abuse (AOR=1.804) were identified as significant predictors for severe-critical COVID-19. Patients those were overweight/obese (AOR=2.105), diabetic (AOR=4.286), hypertensive (AOR=3.363), CKD patients (AOR=8.317), asthma patients (AOR=2.152), CVD patients (AOR=7.747) were also at higher risk of severe-critical COVID-19 infection.

Conclusion: This study has identified several vital lifestyles and comorbidity-related risk factors of severe-critical COVID-19. People who have these comorbidities should be under high protection, and risky lifestyles of the general population should modify through the proper educational campaign.

Keywords: Bangladesh; COVID-19; comorbidities; lifestyle; risk factor.

PubMed Disclaimer

Conflict of interest statement

The authors report no conflicts of interest in this work.

References

    1. Burrell CJ, Howard CR, Murphy FA. Epidemiology of viral infections. Fenner Whites Med Virol. 2017;185–203. doi: 10.1016/B978-0-12-375156-0.00013-8 - DOI
    1. Cascella M, Rajnik M, Cuomo A, Dulebohn SC, Di Napoli R. Features, evaluation and treatment Coronavirus (COVID 19). StatPearls [Internet]; 2020. Available from:http://www.ncbi.nlm.nih.gov/pubmed/32150360. Accessed September23, 2021. - PubMed
    1. Ghebreyesus TA. WHO director-general’s opening remarks at the media briefing on COVID 19-11 March 2020 [Internet]. WHO Director General’s speeches; 2020:4. Available from:https://www.who.int/director-general/speeches/who-director-general-s-ope.... Accessed September23, 2021.
    1. Johns Hopkins Coronavirus Resource Center. No title [Internet]; 2021[cited July 13, 2021]. Available from: https://coronavirus.jhu.edu/map.html. Accessed September23, 2021.
    1. World Health Organization. Tracking SARS-CoV-2 variants [Internet]. Available from: https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/. Accessed September23, 2021.

LinkOut - more resources