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      Declining trend of smoking and smokeless tobacco in India: A decomposition analysis

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          Abstract

          There has been a relative reduction of tobacco consumption between Global Adult Tobacco Survey-India (GATS-India) 2009–10 and GATS-India 2016–17. However, in terms of absolute numbers, India still has the highest number of tobacco consumers. Therefore, this paper aims to examine the socioeconomic correlates and delineate the factors contributing to a change in smoking and smokeless tobacco use from GATS (2009–10) to GATS (2016–17) in India. We used multivariable binary logistic regressions to examine the demographic and socioeconomic correlates of smoking and smokeless tobacco use for both the rounds of the survey. Further decomposition analysis has been applied to examine the specific contribution of factors in the decline of tobacco consumption over a period from 2009 to 2016. Results indicated that the propensity component was primarily responsible for major tobacco consumption decline (smoking- 41%, smokeless tobacco use- 81%). Most of the decrease in propensity to smoke has been explained by residential type and occupation of the respondent. Age of the respondent contribute significantly in reducing the prevalence of smokeless tobacco consumption during the seven-year period, regardless of change in the composition of population. To achieve the National Health Policy, 2017 aim of reducing tobacco use up to 15% by 2020 and up to 30% by 2025, targeted policies and interventions addressing the inequalities identified in this study, must be developed and implemented.

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          Most cited references28

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          Socioeconomic Inequality in Smoking in Low-Income and Middle-Income Countries: Results from the World Health Survey

          Objectives To assess the magnitude and pattern of socioeconomic inequality in current smoking in low and middle income countries. Methods We used data from the World Health Survey [WHS] in 48 low-income and middle-income countries to estimate the crude prevalence of current smoking according to household wealth quintile. A Poisson regression model with a robust variance was used to generate the Relative Index of Inequality [RII] according to wealth within each of the countries studied. Results In males, smoking was disproportionately prevalent in the poor in the majority of countries. In numerous countries the poorest men were over 2.5 times more likely to smoke than the richest men. Socioeconomic inequality in women was more varied showing patterns of both pro-rich and pro-poor inequality. In 20 countries pro-rich relative socioeconomic inequality was statistically significant: the poorest women had a higher prevalence of smoking compared to the richest women. Conversely, in 9 countries women in the richest population groups had a statistically significant greater risk of smoking compared to the poorest groups. Conclusion Both the pattern and magnitude of relative inequality may vary greatly between countries. Prevention measures should address the specific pattern of smoking inequality observed within a population.
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            Patterns and distribution of tobacco consumption in India: cross sectional multilevel evidence from the 1998-9 national family health survey.

            To investigate the demographic, socioeconomic, and geographical distribution of tobacco consumption in India. Multilevel cross sectional analysis of the 1998-9 Indian national family health survey of 301 984 individuals in 92 447 households in 3215 villages in 440 districts in 26 states. Indian states. 301 984 adults (> or = 18 years). Dichotomous variable for smoking and chewing tobacco for each respondent (1 if yes, 0 if no) as well as a combined measure of whether an individual smokes, chews tobacco, or both. Smoking and chewing tobacco are systematically associated with socioeconomic markers at the individual and household level. Individuals with no education are 2.69 times more likely to smoke and chew tobacco than those with postgraduate education. Households belonging to the lowest fifth of a standard of living index were 2.54 times more likely to consume tobacco than those in the highest fifth. Scheduled tribes (odds ratio 1.23, 95% confidence interval 1.18 to 1.29) and scheduled castes (1.19, 1.16 to 1.23) were more likely to consume tobacco than other caste groups. The socioeconomic differences are more marked for smoking than for chewing tobacco. Socioeconomic markers and demographic characteristics of individuals and households do not account fully for the differences at the level of state, district, and village in smoking and chewing tobacco, with state accounting for the bulk of the variation in tobacco consumption. The distribution of tobacco consumption is likely to maintain, and perhaps increase, the current considerable socioeconomic differentials in health in India. Interventions aimed at influencing change in tobacco consumption should consider the socioeconomic and geographical determinants of people's susceptibility to consume tobacco.
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              Tobacco use in India: prevalence and predictors of smoking and chewing in a national cross sectional household survey.

              M. Rani (2003)
              To estimate the prevalence and the socioeconomic and demographic correlates of tobacco consumption in India. Cross sectional, nationally representative population based household survey. 315 598 individuals 15 years or older from 91 196 households were sampled in National Family Health Survey-2 (1998-99). Data on tobacco consumption were elicited from household informants. Measures and methods: Prevalence of current smoking and current chewing of tobacco were used as outcome measures. Simple and two way cross tabulations and multivariate logistic regression analysis were the main analytical methods. Thirty per cent of the population 15 years or older-47% men and 14% of women-either smoked or chewed tobacco, which translates to almost 195 million people-154 million men and 41 million women in India. However, the prevalence may be underestimated by almost 11% and 1.5% for chewing tobacco among men and women, respectively, and by 5% and 0.5% for smoking among men and women, respectively, because of use of household informants. Tobacco consumption was significantly higher in poor, less educated, scheduled castes and scheduled tribe populations. The prevalence of tobacco consumption increased up to the age of 50 years and then levelled or declined. The prevalence of smoking and chewing also varied widely between different states and had a strong association with individual's sociocultural characteristics. The findings of the study highlight that an agenda to improve health outcomes among the poor in India must include effective interventions to control tobacco use. Failure to do so would most likely result in doubling the burden of diseases-both communicable and non-communicable-among India's teeming poor. There is a need for periodical surveys using more consistent definitions of tobacco use and eliciting information on different types of tobacco consumed. The study also suggests a need to adjust the prevalence estimates based on household informants.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: SoftwareRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 February 2021
                2021
                : 16
                : 2
                : e0247226
                Affiliations
                [1 ] Master of Public Health (Health Policy, Economics and Finance), Tata Institute of Social Sciences, Mumbai, Maharashtra, India
                [2 ] Centre for Health and Social Sciences, School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, Maharashtra, India
                University of Calfornia San Francisco, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-6826-5273
                https://orcid.org/0000-0003-4927-7716
                Article
                PONE-D-20-16653
                10.1371/journal.pone.0247226
                7906458
                33630963
                64629aa9-d8c1-4b0a-a7ec-ea1e1751a6f2
                © 2021 Lahoti, Dixit

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 June 2020
                : 3 February 2021
                Page count
                Figures: 0, Tables: 5, Pages: 23
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Social Sciences
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                Smoking Habits
                Medicine and Health Sciences
                Medical Conditions
                Respiratory Disorders
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                Pulmonology
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                Custom metadata
                The data underlying this study is publicly available at: GATS-1 and 2 India Data https://www.who.int/tobacco/surveillance/survey/gats/gats_india_report.pdf?ua=1.

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