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
Directorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Department of Public Health, North South University, Dhaka, Bangladesh.
Infect Drug Resist. 2021 Sep 30;14:4057-4066. doi: 10.2147/IDR.S331470. eCollection 2021.
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.
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.
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.
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.
在全球范围内，严重的新冠病毒疾病（COVID-19）感染已导致超过400万人死亡。在许多国家，社会人口统计学、合并症、生活方式、环境等因素已被广泛讨论与病情严重程度增加有关。本研究旨在确定孟加拉国重症-危重症COVID-19的危险因素。
这是一项针对通过逆转录聚合酶链反应（RT-PCR）确诊的各类COVID-19患者（包括住院和非住院患者）的比较横断面研究。我们采用便利抽样技术选取了1500例COVID-19阳性患者，并使用IBM SPSS-23统计软件包分析生活方式和合并症相关数据。采用卡方检验和多项逻辑回归来确定危及生命的COVID-19感染的危险因素。
研究参与者的平均年龄为43.23（±15.48）岁。该研究确定了几个与生活方式相关的因素和常见疾病为重症-危重症COVID-19的危险因素。患者年龄是最重要的预测因素之一，因为59岁以上的人风险更高（调整后比值比[AOR]=18.223）。在其他生活方式因素中，主动吸烟（AOR=1.482）、接触二手烟（AOR=1.728）、睡眠障碍（AOR=2.208）以及与嚼槟榔/饮酒/药物滥用有关（AOR=1.804）被确定为重症-危重症COVID-19的重要预测因素。超重/肥胖患者（AOR=2.105）、糖尿病患者（AOR=4.286）、高血压患者（AOR=3.363）、慢性肾脏病患者（AOR=8.317）、哮喘患者（AOR=2.152）以及心血管疾病患者（AOR=7.747）患重症-危重症COVID-19感染的风险也更高。
本研究确定了几个重症-危重症COVID-19的重要生活方式和合并症相关危险因素。患有这些合并症的人应受到高度保护，并且应通过适当的教育活动改变普通人群的危险生活方式。
