Evidence map›Paper›PMID 34616163›Full record

ArticleInfection and drug resistance2021

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, Ridwana Nahrin, Tajrin Tahrin Tonmon, Maherun Nesa, Sharmin Ahmed Tithy, Shuvajit Saha, Mahmudul Mannan, Md Shahjalal, Mohammad Omar Faruque, Mohammad Delwer Hossain Hawlader

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Faroque Md MohsinDirectorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.ORCID 0000-0003-3432-4559
Ridwana NahrinDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0003-3264-9237
Tajrin Tahrin TonmonDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0002-4579-679X
Maherun NesaDepartment of Surgery, Sheikh Hasina National Institute of Burn & Plastic Surgery, Dhaka, Bangladesh.
Sharmin Ahmed TithyDirectorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.ORCID 0000-0003-0585-8658
Shuvajit SahaDepartment of Maternal and Child Health, Projahnmo Research Foundation, Dhaka, Bangladesh.
Mahmudul MannanDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Md ShahjalalDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0002-2218-8433
Mohammad Omar FaruqueDepartment of Botany, University of Chittagong, Chattogram, Bangladesh.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0002-1443-6257
North South University · BDChild Health Research Foundation · BDDirectorate General of Health Services · BDImpact · CAInstitute of Art · PLUniversity of Chittagong · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere 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.

methodsThis 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.

resultsThe 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.

conclusionThis 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.

Indexed as

BangladeshcomorbiditiesCOVID-19lifestylerisk factor

Identifiers

PMID34616163
PMCPMC8489920
OpenAlexW3202616073

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.