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Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment

BACKGROUND: Due to the staggering number of tobacco users in India, it is important to determine the exact mortality and morbidity rates due to tobacco use. This study aimed to estimate deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) attributable to cigarettes, bidis, a...

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Autores principales: Jain, Yogesh Kumar, Bhardwaj, Pankaj, Joshi, Nitin Kumar, Gupta, Manoj Kumar, Goel, Akhil Dhanesh, Sharma, Prem Prakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences and Health Services 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408737/
https://www.ncbi.nlm.nih.gov/pubmed/37560082
http://dx.doi.org/10.34172/ahj.2023.1420
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author Jain, Yogesh Kumar
Bhardwaj, Pankaj
Joshi, Nitin Kumar
Gupta, Manoj Kumar
Goel, Akhil Dhanesh
Sharma, Prem Prakash
author_facet Jain, Yogesh Kumar
Bhardwaj, Pankaj
Joshi, Nitin Kumar
Gupta, Manoj Kumar
Goel, Akhil Dhanesh
Sharma, Prem Prakash
author_sort Jain, Yogesh Kumar
collection PubMed
description BACKGROUND: Due to the staggering number of tobacco users in India, it is important to determine the exact mortality and morbidity rates due to tobacco use. This study aimed to estimate deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) attributable to cigarettes, bidis, and smokeless tobacco (SLT) in India. METHODS: Data pooling and meta-analysis were done using case-control studies available on the three types of tobacco products. Health burden was estimated by applying the population attributable fraction (PAF) value to the total disease burden. FINDINGS: A total of 33 studies were included. PAF was calculated for oral and lung cancer as well as ischemic heart disease (IHD) due to cigarettes, oral and lung cancer, IHD, and chronic obstructive pulmonary disease due to bidi, and oral and stomach cancer and IHD due to SLT. Cigarettes resulted in 8.4 million DALYs, 8.26 million YLLs, and 341 deaths; bidis led to 11.7 million DALYs, 10.7 million YLLs, and 478 thousand deaths, and SLTs accounted for 4.38 million DALYs, 4.3 million YLLs, and 171 thousand deaths annually. CONCLUSION: Evidence of measurable health burden and methodology for calculation for individual states was provided in the study. The generated evidence could be utilized for policy recommendations and revision of the existing taxation norms.
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spelling pubmed-104087372023-08-09 Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment Jain, Yogesh Kumar Bhardwaj, Pankaj Joshi, Nitin Kumar Gupta, Manoj Kumar Goel, Akhil Dhanesh Sharma, Prem Prakash Addict Health Original Article BACKGROUND: Due to the staggering number of tobacco users in India, it is important to determine the exact mortality and morbidity rates due to tobacco use. This study aimed to estimate deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) attributable to cigarettes, bidis, and smokeless tobacco (SLT) in India. METHODS: Data pooling and meta-analysis were done using case-control studies available on the three types of tobacco products. Health burden was estimated by applying the population attributable fraction (PAF) value to the total disease burden. FINDINGS: A total of 33 studies were included. PAF was calculated for oral and lung cancer as well as ischemic heart disease (IHD) due to cigarettes, oral and lung cancer, IHD, and chronic obstructive pulmonary disease due to bidi, and oral and stomach cancer and IHD due to SLT. Cigarettes resulted in 8.4 million DALYs, 8.26 million YLLs, and 341 deaths; bidis led to 11.7 million DALYs, 10.7 million YLLs, and 478 thousand deaths, and SLTs accounted for 4.38 million DALYs, 4.3 million YLLs, and 171 thousand deaths annually. CONCLUSION: Evidence of measurable health burden and methodology for calculation for individual states was provided in the study. The generated evidence could be utilized for policy recommendations and revision of the existing taxation norms. Kerman University of Medical Sciences and Health Services 2023-01 2023-01-29 /pmc/articles/PMC10408737/ /pubmed/37560082 http://dx.doi.org/10.34172/ahj.2023.1420 Text en © 2023 Kerman University of Medical Sciences https://creativecommons.org/licenses/by-nc/3.0/This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Jain, Yogesh Kumar
Bhardwaj, Pankaj
Joshi, Nitin Kumar
Gupta, Manoj Kumar
Goel, Akhil Dhanesh
Sharma, Prem Prakash
Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title_full Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title_fullStr Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title_full_unstemmed Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title_short Death, Disability, and Premature Life Years Lost Due to Cigarettes, Bidis, and Smokeless Tobacco in India: A Comparative Assessment
title_sort death, disability, and premature life years lost due to cigarettes, bidis, and smokeless tobacco in india: a comparative assessment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408737/
https://www.ncbi.nlm.nih.gov/pubmed/37560082
http://dx.doi.org/10.34172/ahj.2023.1420
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