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      The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking

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          Abstract

          Background

          Nondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico.

          Methods

          A previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels.

          Results

          Between 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15–44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending.

          Conclusions

          Although Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

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          Most cited references42

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          Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015

          Summary Background The scale-up of tobacco control, especially after the adoption of the Framework Convention for Tobacco Control, is a major public health success story. Nonetheless, smoking remains a leading risk for early death and disability worldwide, and therefore continues to require sustained political commitment. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) offers a robust platform through which global, regional, and national progress toward achieving smoking-related targets can be assessed. Methods We synthesised 2818 data sources with spatiotemporal Gaussian process regression and produced estimates of daily smoking prevalence by sex, age group, and year for 195 countries and territories from 1990 to 2015. We analysed 38 risk-outcome pairs to generate estimates of smoking-attributable mortality and disease burden, as measured by disability-adjusted life-years (DALYs). We then performed a cohort analysis of smoking prevalence by birth-year cohort to better understand temporal age patterns in smoking. We also did a decomposition analysis, in which we parsed out changes in all-cause smoking-attributable DALYs due to changes in population growth, population ageing, smoking prevalence, and risk-deleted DALY rates. Finally, we explored results by level of development using the Socio-demographic Index (SDI). Findings Worldwide, the age-standardised prevalence of daily smoking was 25·0% (95% uncertainty interval [UI] 24·2–25·7) for men and 5·4% (5·1–5·7) for women, representing 28·4% (25·8–31·1) and 34·4% (29·4–38·6) reductions, respectively, since 1990. A greater percentage of countries and territories achieved significant annualised rates of decline in smoking prevalence from 1990 to 2005 than in between 2005 and 2015; however, only four countries had significant annualised increases in smoking prevalence between 2005 and 2015 (Congo [Brazzaville] and Azerbaijan for men and Kuwait and Timor-Leste for women). In 2015, 11·5% of global deaths (6·4 million [95% UI 5·7–7·0 million]) were attributable to smoking worldwide, of which 52·2% took place in four countries (China, India, the USA, and Russia). Smoking was ranked among the five leading risk factors by DALYs in 109 countries and territories in 2015, rising from 88 geographies in 1990. In terms of birth cohorts, male smoking prevalence followed similar age patterns across levels of SDI, whereas much more heterogeneity was found in age patterns for female smokers by level of development. While smoking prevalence and risk-deleted DALY rates mostly decreased by sex and SDI quintile, population growth, population ageing, or a combination of both, drove rises in overall smoking-attributable DALYs in low-SDI to middle-SDI geographies between 2005 and 2015. Interpretation The pace of progress in reducing smoking prevalence has been heterogeneous across geographies, development status, and sex, and as highlighted by more recent trends, maintaining past rates of decline should not be taken for granted, especially in women and in low-SDI to middle-SDI countries. Beyond the effect of the tobacco industry and societal mores, a crucial challenge facing tobacco control initiatives is that demographic forces are poised to heighten smoking's global toll, unless progress in preventing initiation and promoting cessation can be substantially accelerated. Greater success in tobacco control is possible but requires effective, comprehensive, and adequately implemented and enforced policies, which might in turn require global and national levels of political commitment beyond what has been achieved during the past 25 years. Funding Bill & Melinda Gates Foundation and Bloomberg Philanthropies.
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            Smoking prevalence and cigarette consumption in 187 countries, 1980-2012.

            Tobacco is a leading global disease risk factor. Understanding national trends in prevalence and consumption is critical for prioritizing action and evaluating tobacco control progress. To estimate the prevalence of daily smoking by age and sex and the number of cigarettes per smoker per day for 187 countries from 1980 to 2012. Nationally representative sources that measured tobacco use (n = 2102 country-years of data) were systematically identified. Survey data that did not report daily tobacco smoking were adjusted using the average relationship between different definitions. Age-sex-country-year observations (n = 38,315) were synthesized using spatial-temporal gaussian process regression to model prevalence estimates by age, sex, country, and year. Data on consumption of cigarettes were used to generate estimates of cigarettes per smoker per day. Modeled age-standardized prevalence of daily tobacco smoking by age, sex, country, and year; cigarettes per smoker per day by country and year. Global modeled age-standardized prevalence of daily tobacco smoking in the population older than 15 years decreased from 41.2% (95% uncertainty interval [UI], 40.0%-42.6%) in 1980 to 31.1% (95% UI, 30.2%-32.0%; P < .001) in 2012 for men and from 10.6% (95% UI, 10.2%-11.1%) to 6.2% (95% UI, 6.0%-6.4%; P < .001) for women. Global modeled prevalence declined at a faster rate from 1996 to 2006 (mean annualized rate of decline, 1.7%; 95% UI, 1.5%-1.9%) compared with the subsequent period (mean annualized rate of decline, 0.9%; 95% UI, 0.5%-1.3%; P = .003). Despite the decline in modeled prevalence, the number of daily smokers increased from 721 million (95% UI, 700 million-742 million) in 1980 to 967 million (95% UI, 944 million-989 million; P < .001) in 2012. Modeled prevalence rates exhibited substantial variation across age, sex, and countries, with rates below 5% for women in some African countries to more than 55% for men in Timor-Leste and Indonesia. The number of cigarettes per smoker per day also varied widely across countries and was not correlated with modeled prevalence. Since 1980, large reductions in the estimated prevalence of daily smoking were observed at the global level for both men and women, but because of population growth, the number of smokers increased significantly. As tobacco remains a threat to the health of the world's population, intensified efforts to control its use are needed.
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              Shape of the relapse curve and long-term abstinence among untreated smokers

              To describe the relapse curve and rate of long-term prolonged abstinence among smokers who try to quit without treatment.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Data curationRole: Formal analysis
                Role: Formal analysis
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 June 2021
                2021
                : 16
                : 6
                : e0248215
                Affiliations
                [1 ] Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States of America
                [2 ] Tobacco Research Department, National Institute of Public Health, Cuernavaca, México
                [3 ] Department of Epidemiology, University of Michigan School Public Health, Ann Arbor, Michigan, United States of America
                [4 ] Department of Economics, Autonomous University of Baja California Sur, La Paz, México
                [5 ] Department of Health Promotion, Education & Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America
                Universidade Federal de Sao Paulo, BRAZIL
                Author notes

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

                Author information
                https://orcid.org/0000-0001-7951-3965
                Article
                PONE-D-20-31034
                10.1371/journal.pone.0248215
                8216521
                34153063
                57d36f01-80ea-4e0e-b11c-5a6a26b67a0c
                © 2021 Sánchez-Romero et al

                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 October 2020
                : 22 February 2021
                Page count
                Figures: 2, Tables: 2, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: U01CA199284
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000061, Fogarty International Center;
                Award ID: R01TW010652
                Award Recipient :
                LMSR, DTL, ZY, YL, RF were supported by the National Cancer Institute at the National Institutes of Health (U01CA199284). DTL and JT were supported by the Fogarty International Center of the National Institutes of Health (R01 TW010652). LMR-S, LZ-A, BS-M, YKL and NF received no specific funding for this work. The funders did not intervene in the analysis, decision to publish or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Social Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Medicine and Health Sciences
                Public and Occupational Health
                Tobacco Control
                People and places
                Geographical locations
                North America
                Mexico
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Medicine and Health Sciences
                Pharmaceutics
                Drug Therapy
                Neurological Drug Therapy
                Anti-Addiction Drug Therapy
                Nicotine Replacement Therapy
                People and places
                Population groupings
                Ethnicities
                Latin American people
                Mexican People
                Social Sciences
                Sociology
                Communications
                Marketing
                Social Sciences
                Law and Legal Sciences
                Criminal Justice System
                Law Enforcement
                Custom metadata
                Mexican National Health Surveys Databases relevant to this study were obtained from different sources that are publicly available from: https://www.inegi.org.mx/programas/adicciones/2002/#Microdatos https://ensanut.insp.mx/encuestas/ensa2000/index.php https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-lasentidades-federativas-2016-2050 All relevant equations and points used to estimate to outcomes are stated within the manuscript and the Supporting information (Appendix 1. Mathematical Formulation of the revised Mexico SimSmoke). The code to estimate the outcomes is not part of the minimal dataset and is not required to replicate this study but is accessible upon request to the corresponding author.

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