Risk of secondhand smoke exposure and severity of COVID-19 infection : multicenter case-control study
Copyright © 2023 Kishore, Shah, Bera, Venkatesh, Kakkar, Aggarwal, Bhardwaj, Singh, Maliye, Garg, Menon, Misra, Kishore Verma and the COVID SHS Study Group..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
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| Enthalten in: |
Frontiers in public health - 11(2023) vom: 11., Seite 1210102 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kishore, Surekha [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 22.08.2023 Date Revised 24.08.2023 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.3389/fpubh.2023.1210102 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM360998771 |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Kishore, Shah, Bera, Venkatesh, Kakkar, Aggarwal, Bhardwaj, Singh, Maliye, Garg, Menon, Misra, Kishore Verma and the COVID SHS Study Group. | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a secondhand smoke | |
| 650 | 4 | |a smoking | |
| 650 | 4 | |a substance abuse | |
| 650 | 4 | |a vaccination | |
| 650 | 7 | |a COVID-19 Vaccines |2 NLM | |
| 650 | 7 | |a Tobacco Smoke Pollution |2 NLM | |
| 700 | 1 | |a Shah, Vandana |e verfasserin |4 aut | |
| 700 | 1 | |a Bera, Om Prakash |e verfasserin |4 aut | |
| 700 | 1 | |a Venkatesh, U |e verfasserin |4 aut | |
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| 700 | 1 | |a Bhardwaj, Pankaj |e verfasserin |4 aut | |
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| 700 | 1 | |a Maliye, Chetna |e verfasserin |4 aut | |
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| 700 | 1 | |a Misra, Puneet |e verfasserin |4 aut | |
| 700 | 1 | |a Kishore Verma, Shival |e verfasserin |4 aut | |
| 700 | 0 | |a COVID SHS Study Group |e verfasserin |4 aut | |
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| 700 | 1 | |a Mundra, Anuj |e investigator |4 oth | |
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| 700 | 1 | |a Gehlot, Mahendra Singh |e investigator |4 oth | |
| 700 | 1 | |a Bahurupi, Yogesh |e investigator |4 oth | |
| 700 | 1 | |a Nirala, Santosh Kumar |e investigator |4 oth | |
| 700 | 1 | |a Singh, Mahendra Pratap |e investigator |4 oth | |
| 700 | 1 | |a Jaiswal, Arvind Kumar |e investigator |4 oth | |
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