Tobacco-related cancer mortality: projections for different geographical regions in Switzerland

PRINCIPLES: Switzerland is divided into 26 cantons of variable population size and cultural characteristics. Although a federal law to protect against passive smoking and a national tobacco control programme exist, details of tobacco-related policies are canton-specific. This study aimed to pr...

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Main Authors: Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou
Format: Article
Language:English
Published: SMW supporting association (Trägerverein Swiss Medical Weekly SMW) 2013-06-01
Series:Swiss Medical Weekly
Subjects:
Online Access:https://www.smw.ch/index.php/smw/article/view/1704
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author Verena Jürgens
Silvia Ess
Harish C. Phuleria
Martin Früh
Matthias Schwenkglenks
Harald Frick
Thomas Cerny
Penelope Vounatsou
author_facet Verena Jürgens
Silvia Ess
Harish C. Phuleria
Martin Früh
Matthias Schwenkglenks
Harald Frick
Thomas Cerny
Penelope Vounatsou
author_sort Verena Jürgens
collection DOAJ
description PRINCIPLES: Switzerland is divided into 26 cantons of variable population size and cultural characteristics. Although a federal law to protect against passive smoking and a national tobacco control programme exist, details of tobacco-related policies are canton-specific. This study aimed to project gender-specific tobacco-related cancer mortality in Switzerland at different geographical levels for the periods 2009–2013 and 2014–2018. METHODS: In this analysis, data on Swiss tobacco-related cancer mortality from 1984 until 2008 were used. Bayesian age-period-cohort models were formulated to assess past trends of gender-specific tobacco-related cancer mortality and to project them up to 2018 at cantonal and language region levels. Furthermore, estimates are provided on a national scale by age categories of 50–69 and ≥70 years. RESULTS: Model-based estimates at cantonal level identified regions with low and high tobacco-related cancer mortality rates for the observed and projected periods. Our analysis based on language regions showed the lowest mortality in the German-speaking part. Projections at national level, between younger (age 50–69) and older (age ≥70) males, indicated an ongoing decreasing trend for males but an upward trend for females. The gap in tobacco-related cancer mortality rates between younger and older males seems to be shrinking. In females, a stronger rise was obtained for the younger age group. CONCLUSION: Our findings indicate region-, sex- and age-related differences in tobacco-related cancer mortality in Switzerland and this could be useful for healthcare planning and for evaluating the impact of canton-specific tobacco-related policies and interventions.
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spelling doaj.art-ca52410af96c41a7826a481b355005242022-12-22T04:42:32ZengSMW supporting association (Trägerverein Swiss Medical Weekly SMW)Swiss Medical Weekly1424-39972013-06-01143232410.4414/smw.2013.13771Tobacco-related cancer mortality: projections for different geographical regions in SwitzerlandVerena JürgensSilvia EssHarish C. PhuleriaMartin FrühMatthias SchwenkglenksHarald FrickThomas CernyPenelope Vounatsou PRINCIPLES: Switzerland is divided into 26 cantons of variable population size and cultural characteristics. Although a federal law to protect against passive smoking and a national tobacco control programme exist, details of tobacco-related policies are canton-specific. This study aimed to project gender-specific tobacco-related cancer mortality in Switzerland at different geographical levels for the periods 2009–2013 and 2014–2018. METHODS: In this analysis, data on Swiss tobacco-related cancer mortality from 1984 until 2008 were used. Bayesian age-period-cohort models were formulated to assess past trends of gender-specific tobacco-related cancer mortality and to project them up to 2018 at cantonal and language region levels. Furthermore, estimates are provided on a national scale by age categories of 50–69 and ≥70 years. RESULTS: Model-based estimates at cantonal level identified regions with low and high tobacco-related cancer mortality rates for the observed and projected periods. Our analysis based on language regions showed the lowest mortality in the German-speaking part. Projections at national level, between younger (age 50–69) and older (age ≥70) males, indicated an ongoing decreasing trend for males but an upward trend for females. The gap in tobacco-related cancer mortality rates between younger and older males seems to be shrinking. In females, a stronger rise was obtained for the younger age group. CONCLUSION: Our findings indicate region-, sex- and age-related differences in tobacco-related cancer mortality in Switzerland and this could be useful for healthcare planning and for evaluating the impact of canton-specific tobacco-related policies and interventions. https://www.smw.ch/index.php/smw/article/view/1704age-period-cohort modelsBayesian inferenceprojectionstobacco-related cancer mortality
spellingShingle Verena Jürgens
Silvia Ess
Harish C. Phuleria
Martin Früh
Matthias Schwenkglenks
Harald Frick
Thomas Cerny
Penelope Vounatsou
Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
Swiss Medical Weekly
age-period-cohort models
Bayesian inference
projections
tobacco-related cancer mortality
title Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
title_full Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
title_fullStr Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
title_full_unstemmed Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
title_short Tobacco-related cancer mortality: projections for different geographical regions in Switzerland
title_sort tobacco related cancer mortality projections for different geographical regions in switzerland
topic age-period-cohort models
Bayesian inference
projections
tobacco-related cancer mortality
url https://www.smw.ch/index.php/smw/article/view/1704
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