Modelling how to achieve 5% adult smoking prevalence by 2025: a regional approach
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1
Fresh, Smokefree North East, United Kingdom
2
University College London, United Kingdom
Publication date: 2018-03-01
Tob. Induc. Dis. 2018;16(Suppl 1):A28
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ABSTRACT
Background:
The North East of England (population 2.6 million) has a notable
track record in tobacco control, and local government organisations have a vision
to "Make Smoking History", with all 12 localities agreeing in 2014 to work
towards 5% adult smoking by 2025. The target seems ambitious but a
comprehensive sub-national programme is in place to achieve it. With a baseline smoking prevalence of 18.7%
in 2015, work was undertaken in 2017 to model current trends in smoking prevalence, uptake
and quitting in the North East, and identify key targets and policies for
further improvements and to assess how realistic the goal is.
Methods:
Data from
the Smoking Toolkit Study (www.smokinginengland.info - annual sample size national of
>20,000) and the
UK's Annual Population Survey (annual national samnple size 300,000) were used to
model trends in key parameters (cigarette smoking prevalence; ever-smoking
prevalence in young people; quit attempt prevalence; quit success rate; overall
quit rate) and make forecasts under a range of different assumptions.
Results:
Smoking
prevalence has declined in the North East slightly faster than the national
average and this appears to be because of higher quit success rates. Increasing quit attempt rate to
45% per year, maintaining a quit success rate at 20%, and reducing uptake to
0.3% per year could put the North East on a path to 5% adult smoking prevalence
within 10 years. These are all realistic targets but will require the
implementation of a package of policies and a sustained commitment to
investment.
Conclusions:
Modelling has shown that a bold ambition of all but eliminating
smoking by 2025 can be achieved in an English region without unrealistic
assumptions about the changes that need to be made in uptake, quit attempts and
quit success rates. This modelling work has galvanised further action especially within the health system.