| Literature DB >> 23339756 |
Karsten Lunze1, Luigi Migliorini.
Abstract
BACKGROUND: The Russian Federation (Russia) has one of the highest smoking rates in the world. The purpose of this study is to analyze past and current trends of the tobacco epidemic in the Russian Federation, review current tobacco control policy responses, and identify areas of opportunity for policy priorities.Entities:
Mesh:
Year: 2013 PMID: 23339756 PMCID: PMC3732080 DOI: 10.1186/1471-2458-13-64
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Trends of adult smoking rates in Russia, 1992–2009. Data from [2] and [5]. Label X axis: Year. Label Y Axis: Population.
Figure 2Total cigarette consumption in Russia in billion sticks, 1990 – 2010. Data from [2,5,10]. Label X axis: Year. Label Y Axis: Production in billion sticks.
Figure 3Domestic cigarette production in Russia in billion sticks, 1990 – 2006. Data from [2,5,10]. Label X axis: Year. Label Y Axis: Production in billion sticks.
Figure 4Tax rates as percentage of retail price in various European countries in comparison to Russia. Data from [10]. Label X axis: Country. Label Y Axis: Percent tax of retail price.
Policy priority ranking
| Total population | Low effort, resistance from industry | Women, children, youth | | For enforcement | ||
| +++ | ++ | +++ | +++ | + | ||
| Most of population | Difficult to enforce | Women, children, youth | | For enforcement | ||
| +++ | + | +++ | +++ | + | ||
| Population amenable to marketing | Low effort, resistance from industry | Women, youth | | Low | ||
| ++ | ++ | ++ | + | +++ | ||
| Smokers amenable to risk communication | Low effort, resistance from industry | Women, youth | | Low | ||
| + | ++ | ++ | + | +++ | ||
| Smokers willing to quit | Need to train professionals | Effects from secondhand smoke | | Program costs | ||
| ++ | + | + | +++ | + |
We developed the following criteria for prioritization of future tobacco control policies and programs: magnitude as estimated number of smokers and non-smokers affected; feasibility of policy change vis-a-vis expected political resistance or support from various stakeholders (such as parliament, ministries, administrations, scientific and professional organizations, non-governmental organizations, tobacco industry, etc.); expected impact on vulnerable populations such as youths or women; evidence base for effectiveness and cost-effectiveness; and projected costs associated with instating policies or implementing program in orders of magnitude.
The assigned scores, ranging from + (low effect, less desirable), ++ (medium effect), +++ (high effect, most desirable) for each equally weighed criterion, were summed up for each row to a total score.