Author: Mohsin, Faroque Md; Nahrin, Ridwana; Tonmon, Tajrin Tahrin; Nesa, Maherun; Tithy, Sharmin Ahmed; Saha, Shuvajit; Mannan, Mahmudul; Shahjalal, Md; Faruque, Mohammad Omar; Hawlader, Mohammad Delwer Hossain
Title: Lifestyle and Comorbidity-Related Risk Factors of Severe and Critical COVID-19 Infection: A Comparative Study Among Survived COVID-19 Patients in Bangladesh Cord-id: dhpu636z Document date: 2021_9_30
ID: dhpu636z
Snippet: 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) con
Document: 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.
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