Risk of secondhand smoke exposure and severity of Covid-19 infection

Multicenter case–control study

Bibliographic Data

ID22072107
AuthorsSurekha Kishore (0000-0003-0813-8621, All India Institute of Medical Sciences), Vandana Shah (0000-0001-9049-3942), Om Prakash Bera (0000-0003-0513-7658), U Venkatesh (0000-0001-8059-9364, All India Institute of Medical Sciences, corresponding author), Rakesh Kakkar (0000-0002-0897-9757, All India Institute of Medical Sciences), Pradeep Aggarwal (0000-0003-1415-0483, All India Institute of Medical Sciences Rishikesh), Pankaj Bhardwaj (0000-0001-9960-3060, All India Institute of Medical Sciences Jodhpur), Chandramani Singh (0000-0002-5568-7036, All India Institute of Medical Sciences), C M Singh, Chetna Maliye (0000-0002-2024-223X, Mahatma Gandhi Institute of Medical Sciences), Suneela Garg (0000-0002-2196-1607, Maulana Azad Medical College), Geetha R Menon (0000-0003-2491-0650, National Institute of Medical Statistics), Puneet Misra (0000-0002-2019-1524, All India Institute of Medical Sciences), Shival Kishore Verma (Johns Hopkins University)
Year2023
Volume11
Pages1210102-1210102
Publication date2023-08-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1210102
PMID37601179
OpenAlexW4385665442
LanguageEN
Citations received1
References cited17

Introduction: Exposure to secondhand smoke (SHS) is an established causal risk factor for cardiovascular disease (CVD) and chronic lung disease. Numerous studies have evaluated the role of tobacco in COVID-19 infection, severity, and mortality but missed the opportunity to assess the role of SHS. Therefore, this study was conducted to determine whether SHS is an independent risk factor for COVID-19 infection, severity, mortality, and other co-morbidities. Methodology: Multicentric case-control study was conducted across six states in India. Severe COVID-19 patients were chosen as our study cases, and mild and moderate COVID-19 as control were evaluated for exposure to SHS. The sample size was calculated using Epi-info version 7. A neighborhood-matching technique was utilized to address ecological variability and enhance comparability between cases and controls, considering age and sex as additional matching criteria. The binary logistic regression model was used to measure the association, and the results were presented using an adjusted odds ratio. The data were analyzed using SPSS version 24 (SPSS Inc., Chicago, IL, USA). Results: A total of 672 cases of severe COVID-19 and 681 controls of mild and moderate COVID-19 were recruited in this study. The adjusted odds ratio (AOR) for SHS exposure at home was 3.03 (CI 95%: 2.29-4.02) compared to mild/moderate COVID-19, while SHS exposure at the workplace had odds of 2.19 (CI 95%: 1.43-3.35). Other factors significantly related to the severity of COVID-19 were a history of COVID-19 vaccination before illness, body mass index (BMI), and attached kitchen at home. Discussion: The results of this study suggest that cumulative exposure to secondhand cigarette smoke is an independent risk factor for severe COVID-19 illness. More studies with the use of biomarkers and quantification of SHS exposure in the future are needed

Case-control study · Disease · Environmental health · Logistic regression · Odds · Odds ratio · Risk factor · Chronic Obstructive Pulmonary Disease (COPD) Research · COVID-19 Clinical Research Studies · Medicine · Smoking Behavior and Cessation · Internal Medicine

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