Literature DB >> 23853252

Russia SimSmoke: the long-term effects of tobacco control policies on smoking prevalence and smoking-attributable deaths in Russia.

Galina Ya Maslennikova1, Rafael G Oganov1, Sergey A Boytsov1, Hana Ross2, An-Tsun Huang3, Aimee Near3, Alexey Kotov4, Irina Berezhnova4, David T Levy3.   

Abstract

BACKGROUND: Russia has high smoking rates and weak tobacco control policies. A simulation model is used to examine the effect of tobacco control policies on past and future smoking prevalence and premature mortality in Russia.
METHODS: The Russia model was developed using the SimSmoke tobacco control model previously developed for the USA and other nations. The model inputs population size, birth, death and smoking rates specific to Russia. It assesses, individually and in combination, the effect of seven types of policies consistent with the WHO Framework Convention on Tobacco Control (FCTC): taxes, smoke-free air, mass media campaign, advertising bans, warning labels, cessation treatment and youth access policies. Outcomes are smoking prevalence and the number of smoking-attributable deaths by age and gender from 2009 to 2055.
RESULTS: Increasing cigarette taxes to 70% of retail price, stronger smoke-free air laws, a high-intensity media campaign and comprehensive treatment policies are each potent policies to reduce smoking prevalence and smoking-attributable premature deaths in Russia. With the stronger set of policies, the model estimates that, relative to the status quo trend, smoking prevalence can be reduced by as much as 30% by 2020, with a 50% reduction projected by 2055. This translates into 2 684 994 male and 1 011 985 female premature deaths averted from 2015-2055.
CONCLUSIONS: SimSmoke results highlight the relative contribution of policies to reducing the tobacco health burden in Russia. Significant inroads to reducing smoking prevalence and premature mortality can be achieved through strengthening tobacco control policies in line with FCTC recommendations. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Advocacy; Global health; Low/Middle income country; Prevention; Public policy

Mesh:

Year:  2013        PMID: 23853252      PMCID: PMC4499848          DOI: 10.1136/tobaccocontrol-2013-051011

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  20 in total

1.  The use of simulation models for the surveillance, justification and understanding of tobacco control policies.

Authors:  David T Levy; Frank Chaloupka; Joseph Gitchell; David Mendez; Kenneth E Warner
Journal:  Health Care Manag Sci       Date:  2002-04

2.  Increasing taxes as a strategy to reduce cigarette use and deaths: results of a simulation model.

Authors:  D T Levy; K M Cummings; A Hyland
Journal:  Prev Med       Date:  2000-09       Impact factor: 4.018

3.  The state antismoking campaign and the industry response: the effects of advertising on cigarette consumption in California.

Authors:  T W Hu; H Y Sung; T E Keeler
Journal:  Am Econ Rev       Date:  1995-05

4.  Recent trends in smoking and the role of public policies: results from the SimSmoke tobacco control policy simulation model.

Authors:  David T Levy; Leonid Nikolayev; Elizabeth Mumford
Journal:  Addiction       Date:  2005-10       Impact factor: 6.526

5.  Increasing excise taxes on cigarettes in California: a dynamic simulation of health and economic impacts.

Authors:  Sajjad Ahmad
Journal:  Prev Med       Date:  2005-01-07       Impact factor: 4.018

6.  The Healthy People 2010 smoking prevalence and tobacco control objectives: results from the SimSmoke tobacco control policy simulation model (United States).

Authors:  David T Levy; Leonid Nikolayev; Elizabeth Mumford; Christine Compton
Journal:  Cancer Causes Control       Date:  2005-05       Impact factor: 2.506

7.  Simulation modeling and tobacco control: creating more robust public health policies.

Authors:  David T Levy; Joseph E Bauer; Hye-Ryeon Lee
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

8.  Quantifying the disease impact of cigarette smoking with SAMMEC II software.

Authors:  J M Shultz; T E Novotny; D P Rice
Journal:  Public Health Rep       Date:  1991 May-Jun       Impact factor: 2.792

9.  Federal policy mandating safer cigarettes: a hypothetical simulation of the anticipated population health gains or losses.

Authors:  Tammy O Tengs; Sajjad Ahmad; Rebecca Moore; Eric Gage
Journal:  J Policy Anal Manage       Date:  2004-08

10.  The Brazil SimSmoke policy simulation model: the effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation.

Authors:  David Levy; Liz Maria de Almeida; Andre Szklo
Journal:  PLoS Med       Date:  2012-11-06       Impact factor: 11.069

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  4 in total

1.  England SimSmoke: the impact of nicotine vaping on smoking prevalence and smoking-attributable deaths in England.

Authors:  David T Levy; Luz María Sánchez-Romero; Yameng Li; Zhe Yuan; Nargiz Travis; Martin J Jarvis; Jamie Brown; Ann McNeill
Journal:  Addiction       Date:  2020-10-08       Impact factor: 7.256

2.  Secular trends in chronic respiratory diseases mortality in Brazil, Russia, China, and South Africa: a comparative study across main BRICS countries from 1990 to 2019.

Authors:  Jianjun Bai; Yudi Zhao; Donghui Yang; Yudiyang Ma; Chuanhua Yu
Journal:  BMC Public Health       Date:  2022-01-13       Impact factor: 3.295

3.  US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths.

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

4.  The potential effects of tobacco control in China: projections from the China SimSmoke simulation model.

Authors:  David Levy; Ricardo L Rodríguez-Buño; Teh-Wei Hu; Andrew E Moran
Journal:  BMJ       Date:  2014-02-18
  4 in total

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