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The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study

BACKGROUND: Smoking is more than twice as common among the most disadvantaged socioeconomic groups in England compared to the most affluent and is a major contributor to health-related inequalities. The United Kingdom (UK) has comprehensive smoking policies in place: regular tax increases; public in...

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Autores principales: Allen, Kirk, Kypridemos, Chris, Hyseni, Lirije, Gilmore, Anna B., Diggle, Peter, Whitehead, Margaret, Capewell, Simon, O’Flaherty, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818400/
https://www.ncbi.nlm.nih.gov/pubmed/27036296
http://dx.doi.org/10.1186/s12889-016-2962-8
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author Allen, Kirk
Kypridemos, Chris
Hyseni, Lirije
Gilmore, Anna B.
Diggle, Peter
Whitehead, Margaret
Capewell, Simon
O’Flaherty, Martin
author_facet Allen, Kirk
Kypridemos, Chris
Hyseni, Lirije
Gilmore, Anna B.
Diggle, Peter
Whitehead, Margaret
Capewell, Simon
O’Flaherty, Martin
author_sort Allen, Kirk
collection PubMed
description BACKGROUND: Smoking is more than twice as common among the most disadvantaged socioeconomic groups in England compared to the most affluent and is a major contributor to health-related inequalities. The United Kingdom (UK) has comprehensive smoking policies in place: regular tax increases; public information campaigns; on-pack pictorial health warnings; advertising bans; cessation; and smoke-free areas. This is confirmed from its high Tobacco Control Scale (TCS) score, an expert-developed instrument for assessing the strength of tobacco control policies. However, room remains for improvement in tobacco control policies. Our aim was to evaluate the cumulative effect on smoking prevalence of improving all TCS components in England, stratified by socioeconomic circumstance. METHODS: Effect sizes and socioeconomic gradients for all six types of smoking policy in the UK setting were adapted from systematic reviews, or if not available, from primary studies. We used the IMPACT Policy Model to link predicted changes in smoking prevalence to changes in premature coronary heart disease (CHD) mortality for ages 35–74. Health outcomes with a time horizon of 2025 were stratified by quintiles of socioeconomic circumstance. RESULTS: The model estimated that improving all smoking policies to achieve a maximum score on the TCS might reduce smoking prevalence in England by 3 % (95 % Confidence Interval (CI): 1–4 %), from 20 to 17 % in absolute terms, or by 15 % in relative terms (95 % CI: 7–21 %). The most deprived quintile would benefit more, with absolute reductions from 31 to 25 %, or a 6 % reduction (95 % CI: 2–7 %). There would be some 3300 (95 % CI: 2200–4700) fewer premature CHD deaths between 2015–2025, a 2 % (95 % CI: 1.4–2.9 %) reduction. The most disadvantaged quintile would benefit more, reducing absolute inequality of CHD mortality by about 4 % (95 % CI: 3–9 %). CONCLUSIONS: Further, feasible improvements in tobacco control policy could substantially improve population health, and reduce health-related inequalities in England. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2962-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-48184002016-04-03 The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study Allen, Kirk Kypridemos, Chris Hyseni, Lirije Gilmore, Anna B. Diggle, Peter Whitehead, Margaret Capewell, Simon O’Flaherty, Martin BMC Public Health Research Article BACKGROUND: Smoking is more than twice as common among the most disadvantaged socioeconomic groups in England compared to the most affluent and is a major contributor to health-related inequalities. The United Kingdom (UK) has comprehensive smoking policies in place: regular tax increases; public information campaigns; on-pack pictorial health warnings; advertising bans; cessation; and smoke-free areas. This is confirmed from its high Tobacco Control Scale (TCS) score, an expert-developed instrument for assessing the strength of tobacco control policies. However, room remains for improvement in tobacco control policies. Our aim was to evaluate the cumulative effect on smoking prevalence of improving all TCS components in England, stratified by socioeconomic circumstance. METHODS: Effect sizes and socioeconomic gradients for all six types of smoking policy in the UK setting were adapted from systematic reviews, or if not available, from primary studies. We used the IMPACT Policy Model to link predicted changes in smoking prevalence to changes in premature coronary heart disease (CHD) mortality for ages 35–74. Health outcomes with a time horizon of 2025 were stratified by quintiles of socioeconomic circumstance. RESULTS: The model estimated that improving all smoking policies to achieve a maximum score on the TCS might reduce smoking prevalence in England by 3 % (95 % Confidence Interval (CI): 1–4 %), from 20 to 17 % in absolute terms, or by 15 % in relative terms (95 % CI: 7–21 %). The most deprived quintile would benefit more, with absolute reductions from 31 to 25 %, or a 6 % reduction (95 % CI: 2–7 %). There would be some 3300 (95 % CI: 2200–4700) fewer premature CHD deaths between 2015–2025, a 2 % (95 % CI: 1.4–2.9 %) reduction. The most disadvantaged quintile would benefit more, reducing absolute inequality of CHD mortality by about 4 % (95 % CI: 3–9 %). CONCLUSIONS: Further, feasible improvements in tobacco control policy could substantially improve population health, and reduce health-related inequalities in England. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-2962-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-01 /pmc/articles/PMC4818400/ /pubmed/27036296 http://dx.doi.org/10.1186/s12889-016-2962-8 Text en © Allen et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Allen, Kirk
Kypridemos, Chris
Hyseni, Lirije
Gilmore, Anna B.
Diggle, Peter
Whitehead, Margaret
Capewell, Simon
O’Flaherty, Martin
The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title_full The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title_fullStr The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title_full_unstemmed The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title_short The effects of maximising the UK’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
title_sort effects of maximising the uk’s tobacco control score on inequalities in smoking prevalence and premature coronary heart disease mortality: a modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818400/
https://www.ncbi.nlm.nih.gov/pubmed/27036296
http://dx.doi.org/10.1186/s12889-016-2962-8
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