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A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study

BACKGROUND: Tobacco burdens in India and Pakistan require continued efforts to quantify tobacco use and its impacts. We examined the prevalence and sociodemographic and health-related correlates of tobacco use in Delhi, Chennai (India), and Karachi (Pakistan). METHODS: Analysis of representative sur...

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Autores principales: Berg, Carla J, Ajay, Vamadevan S., Ali, Mohammed K., Kondal, Dimple, Khan, Hassan M., Shivashankar, Roopa, Pradeepa, Rajendra, Mohan, Deepa, Fatmi, Zafar, Kadir, Muhammad M., Tandon, Nikhil, Mohan, Viswanathan, Narayan, KM Venkat, Prabhakaran, Dorairaj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432508/
https://www.ncbi.nlm.nih.gov/pubmed/25958327
http://dx.doi.org/10.1186/s12889-015-1817-z
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author Berg, Carla J
Ajay, Vamadevan S.
Ali, Mohammed K.
Kondal, Dimple
Khan, Hassan M.
Shivashankar, Roopa
Pradeepa, Rajendra
Mohan, Deepa
Fatmi, Zafar
Kadir, Muhammad M.
Tandon, Nikhil
Mohan, Viswanathan
Narayan, KM Venkat
Prabhakaran, Dorairaj
author_facet Berg, Carla J
Ajay, Vamadevan S.
Ali, Mohammed K.
Kondal, Dimple
Khan, Hassan M.
Shivashankar, Roopa
Pradeepa, Rajendra
Mohan, Deepa
Fatmi, Zafar
Kadir, Muhammad M.
Tandon, Nikhil
Mohan, Viswanathan
Narayan, KM Venkat
Prabhakaran, Dorairaj
author_sort Berg, Carla J
collection PubMed
description BACKGROUND: Tobacco burdens in India and Pakistan require continued efforts to quantify tobacco use and its impacts. We examined the prevalence and sociodemographic and health-related correlates of tobacco use in Delhi, Chennai (India), and Karachi (Pakistan). METHODS: Analysis of representative surveys of 11,260 participants (selected through multistage cluster random sampling; stratified by gender and age) in 2011 measured socio-demographics, tobacco use history, comorbid health conditions, and salivary cotinine. We used bivariate and multivariate regression analyses to examine factors associated with tobacco use. RESULTS: Overall, 51.8 % were females, and 61.6 % were below the age of 45 years. Lifetime (ever) tobacco use prevalence (standardized for world population) was 45.0 %, 41.3 %, and 42.5 % among males, and 7.6 %, 8.5 %, and 19.7 % among females in Chennai, Delhi, and Karachi, respectively. Past 6 month tobacco use prevalence (standardized for world population) was 38.6 %, 36.1 %, and 39.1 % among males, and 7.3 %, 7.1 %, and 18.6 % among females in Chennai, Delhi, and Karachi, respectively. In multivariable regression analyses, residing in Delhi or Karachi versus Chennai; older age; lower education; earning less income; lower BMI; were each associated with tobacco use in both sexes. In addition, semi-skilled occupation versus not working and alcohol use were associated with tobacco use in males, and having newly diagnosed dyslipidemia was associated with lower odds of tobacco use among females. Mean salivary cotinine levels were higher among tobacco users versus nonusers (235.4; CI: 187.0-283.8 vs. 29.7; CI: 4.2, 55.2, respectively). CONCLUSION: High prevalence of tobacco use in the South Asian region, particularly among men, highlights the urgency to address this serious public health problem. Our analyses suggest targeted prevention and cessation interventions focused on lower socioeconomic groups may be particularly important. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1817-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-44325082015-05-16 A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study Berg, Carla J Ajay, Vamadevan S. Ali, Mohammed K. Kondal, Dimple Khan, Hassan M. Shivashankar, Roopa Pradeepa, Rajendra Mohan, Deepa Fatmi, Zafar Kadir, Muhammad M. Tandon, Nikhil Mohan, Viswanathan Narayan, KM Venkat Prabhakaran, Dorairaj BMC Public Health Research Article BACKGROUND: Tobacco burdens in India and Pakistan require continued efforts to quantify tobacco use and its impacts. We examined the prevalence and sociodemographic and health-related correlates of tobacco use in Delhi, Chennai (India), and Karachi (Pakistan). METHODS: Analysis of representative surveys of 11,260 participants (selected through multistage cluster random sampling; stratified by gender and age) in 2011 measured socio-demographics, tobacco use history, comorbid health conditions, and salivary cotinine. We used bivariate and multivariate regression analyses to examine factors associated with tobacco use. RESULTS: Overall, 51.8 % were females, and 61.6 % were below the age of 45 years. Lifetime (ever) tobacco use prevalence (standardized for world population) was 45.0 %, 41.3 %, and 42.5 % among males, and 7.6 %, 8.5 %, and 19.7 % among females in Chennai, Delhi, and Karachi, respectively. Past 6 month tobacco use prevalence (standardized for world population) was 38.6 %, 36.1 %, and 39.1 % among males, and 7.3 %, 7.1 %, and 18.6 % among females in Chennai, Delhi, and Karachi, respectively. In multivariable regression analyses, residing in Delhi or Karachi versus Chennai; older age; lower education; earning less income; lower BMI; were each associated with tobacco use in both sexes. In addition, semi-skilled occupation versus not working and alcohol use were associated with tobacco use in males, and having newly diagnosed dyslipidemia was associated with lower odds of tobacco use among females. Mean salivary cotinine levels were higher among tobacco users versus nonusers (235.4; CI: 187.0-283.8 vs. 29.7; CI: 4.2, 55.2, respectively). CONCLUSION: High prevalence of tobacco use in the South Asian region, particularly among men, highlights the urgency to address this serious public health problem. Our analyses suggest targeted prevention and cessation interventions focused on lower socioeconomic groups may be particularly important. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-015-1817-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-11 /pmc/articles/PMC4432508/ /pubmed/25958327 http://dx.doi.org/10.1186/s12889-015-1817-z Text en © Berg et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Berg, Carla J
Ajay, Vamadevan S.
Ali, Mohammed K.
Kondal, Dimple
Khan, Hassan M.
Shivashankar, Roopa
Pradeepa, Rajendra
Mohan, Deepa
Fatmi, Zafar
Kadir, Muhammad M.
Tandon, Nikhil
Mohan, Viswanathan
Narayan, KM Venkat
Prabhakaran, Dorairaj
A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title_full A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title_fullStr A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title_full_unstemmed A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title_short A cross-sectional study of the prevalence and correlates of tobacco Use in Chennai, Delhi, and Karachi: data from the CARRS study
title_sort cross-sectional study of the prevalence and correlates of tobacco use in chennai, delhi, and karachi: data from the carrs study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432508/
https://www.ncbi.nlm.nih.gov/pubmed/25958327
http://dx.doi.org/10.1186/s12889-015-1817-z
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