Luz Myriam Reynales-Shigematsu1, Nancy L Fleischer2, James F Thrasher3, Yian Zhang4, Rafael Meza2, K Michael Cummings5, David T Levy4. 1. Department of Tobacco Research, National Institute of Public Health, Cuernavaca, Mexico. 2. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, United States of America. 3. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, United States of America. 4. Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States of America, dl777@georgetown.edu. 5. Department of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, United States of America.
Abstract
OBJECTIVE: To examine how policies adopted in Mexico in response to the Framework Convention on Tobacco Control affected smoking prevalence and smoking-attributable deaths. METHODS: The SimSmoke simulation model of tobacco control policy is applied to Mexico. This discrete time, first-order Markov model uses data on population size, smoking rates and tobacco control policy for Mexico. It assesses, individually and jointly, the effects of seven types of policies: cigarette taxes, smoke-free air laws, mass media campaigns, advertising bans, warning labels, cessation treatment, and youth tobacco access policies. RESULTS: The Mexico SimSmoke model estimates that smoking rates have been reduced by about 30% as a result of policies implemented since 2002, and that the number of smoking-attributable deaths will have been reduced by about 826 000 by 2053. Increases in cigarette prices are responsible for over 60% of the reductions, but health warnings, smoke-free air laws, marketing restrictions and cessation treatments also play important roles. CONCLUSIONS: Mexico has shown steady progress towards reducing smoking prevalence in a short period of time, as have other Latin American countries, such as Brazil, Panama and Uruguay. Tobacco control policies play an important role in continued efforts to reduce tobacco use and associated deaths in Mexico.
OBJECTIVE: To examine how policies adopted in Mexico in response to the Framework Convention on Tobacco Control affected smoking prevalence and smoking-attributable deaths. METHODS: The SimSmoke simulation model of tobacco control policy is applied to Mexico. This discrete time, first-order Markov model uses data on population size, smoking rates and tobacco control policy for Mexico. It assesses, individually and jointly, the effects of seven types of policies: cigarette taxes, smoke-free air laws, mass media campaigns, advertising bans, warning labels, cessation treatment, and youth tobacco access policies. RESULTS: The Mexico SimSmoke model estimates that smoking rates have been reduced by about 30% as a result of policies implemented since 2002, and that the number of smoking-attributable deaths will have been reduced by about 826 000 by 2053. Increases in cigarette prices are responsible for over 60% of the reductions, but health warnings, smoke-free air laws, marketing restrictions and cessation treatments also play important roles. CONCLUSIONS: Mexico has shown steady progress towards reducing smoking prevalence in a short period of time, as have other Latin American countries, such as Brazil, Panama and Uruguay. Tobacco control policies play an important role in continued efforts to reduce tobacco use and associated deaths in Mexico.
Authors: Luis Zavala-Arciniega; Luz Myriam Reynales-Shigematsu; David T Levy; Yan Kwan Lau; Rafael Meza; Daniela Sarahí Gutiérrez-Torres; Edna Arillo-Santillán; Nancy L Fleischer; James Thrasher Journal: Tob Control Date: 2020-02-04 Impact factor: 7.552
Authors: Nancy L Fleischer; James F Thrasher; Luz Myriam Reynales-Shigematsu; K Michael Cummings; Rafael Meza; Yian Zhang; David T Levy Journal: Glob Public Health Date: 2016-02-02
Authors: J Jaime Miranda; Tonatiuh Barrientos-Gutiérrez; Camila Corvalan; Adnan A Hyder; Maria Lazo-Porras; Tolu Oni; Jonathan C K Wells Journal: Nat Med Date: 2019-11-07 Impact factor: 53.440
Authors: David T Levy; Luz María Sánchez-Romero; Nargiz Travis; Zhe Yuan; Yameng Li; Sarah Skolnick; Jihyoun Jeon; Jamie Tam; Rafael Meza Journal: Int J Environ Res Public Health Date: 2021-05-03 Impact factor: 4.614
Authors: Luz María Sánchez-Romero; Luis Zavala-Arciniega; Luz Myriam Reynales-Shigematsu; Belén Sáenz de Miera-Juárez; Zhe Yuan; Yameng Li; Yan Kwan Lau; Nancy L Fleischer; Rafael Meza; James F Thrasher; David T Levy Journal: PLoS One Date: 2021-06-21 Impact factor: 3.752