Beyond MPOWER: a systematic review of population-level factors that affect European tobacco smoking rates
Leah K Watson1, Isaac Weldon1,2, Gigi O Lin1
1Global Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, York University, Toronto, ON, Canada.
Background:
Population-level factors within and beyond the scope of the World Health Organization's (WHO) MPOWER policy package have significant impacts on smoking rates. However, no synthesis of the existing evidence exists. This systematic review identifies population-level factors that influence cigarette smoking rates in European countries.
Methods:
We searched the ProQuest database collection for original, peer-reviewed quantitative evaluations that investigated the effects of population-level exposures on smoking rates in European countries. Of the 3122 studies screened, 62 were ultimately included in the review. A standardized data extraction form was used to identify key characteristics of each study including publication year, years evaluated, countries studied, population characteristics, study design, data sources, analytic methods, exposure studied, relevant covariates and effects on tobacco smoking outcomes.
Results:
One hundred and fifty-five population-level exposures were extracted from the 62 studies included in the review, 99 of which were related to WHO MPOWER measures. An additional 56 exposures fell into eight policy realms: economic crises, education policy, macro-economic factors, non-MPOWER tobacco regulations, population welfare, public policy, sales to minors and unemployment rates. About one-half of the MPOWER exposures affected smoking rates (55/99) and did so in an overwhelmingly positive way (55/55). Over three-quarters of the non-MPOWER exposures were associated with statistically significant changes in smoking outcomes (43/56), with about two-thirds of these exposures leading to a decrease in smoking (29/43).
Conclusions:
Population-level factors that fall outside of the WHO's MPOWER measures are an understudied research area. The impacts of these factors on tobacco control should be considered by policymakers.
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