Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study

Objectives Substantial regional variation in smoking behaviour in Germany has been well documented. However, little is known about how these regional differences in smoking affect regional mortality disparities. We aim to assess the contribution of smoking to regional mortality differentials in Germ...

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Main Authors: Pavel Grigoriev, Alyson van Raalte, Sebastian Klüsener
Format: Article
Language:English
Published: BMJ Publishing Group 2022-09-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/9/e064249.full
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author Pavel Grigoriev
Alyson van Raalte
Sebastian Klüsener
author_facet Pavel Grigoriev
Alyson van Raalte
Sebastian Klüsener
author_sort Pavel Grigoriev
collection DOAJ
description Objectives Substantial regional variation in smoking behaviour in Germany has been well documented. However, little is known about how these regional differences in smoking affect regional mortality disparities. We aim to assess the contribution of smoking to regional mortality differentials in Germany over the last four decades.Design A cross-sectional study using official cause-specific mortality data by German Federal State aggregated into five macro-regions: East, North, South, West-I and West-II.Participants The entire population of Germany stratified by sex, age and region during 1980–2019.Main outcome measures Smoking-attributable fraction estimated using the Preston-Glei-Wilmoth method; life expectancy at birth before and after the elimination of smoking-attributable deaths.Results In all macro-regions, the burden of past smoking has been declining among men but growing rapidly among women. The hypothetical removal of smoking-attributable deaths would eliminate roughly half of the contemporary advantage in life expectancy of the vanguard region South over the other macro-regions, apart from the East. In the latter, smoking only explains around a quarter (0.5 years) of the 2-year difference in male life expectancy compared with the South observed in 2019. Among women, eliminating smoking-attributable deaths would put the East in a more disadvantageous position compared with the South as well as the other macro-regions.Conclusion While regional differences in smoking histories explain large parts of the regional disparities in male mortality, they are playing an increasingly important role for female mortality trends and differentials. Health policies aiming at reducing regional inequalities should account for regional differences in past smoking behaviour.
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spelling doaj.art-9877aa873fe64c5ba32ec20492696ea22022-12-22T03:55:18ZengBMJ Publishing GroupBMJ Open2044-60552022-09-0112910.1136/bmjopen-2022-064249Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional studyPavel Grigoriev0Alyson van Raalte1Sebastian Klüsener2Demographic Change and Longevity, Federal Institute for Population Research (BiB), Wiesbaden, GermanyMax Planck Institute for Demographic Research, Rostock, GermanyDemographic Change and Longevity, Federal Institute for Population Research (BiB), Wiesbaden, GermanyObjectives Substantial regional variation in smoking behaviour in Germany has been well documented. However, little is known about how these regional differences in smoking affect regional mortality disparities. We aim to assess the contribution of smoking to regional mortality differentials in Germany over the last four decades.Design A cross-sectional study using official cause-specific mortality data by German Federal State aggregated into five macro-regions: East, North, South, West-I and West-II.Participants The entire population of Germany stratified by sex, age and region during 1980–2019.Main outcome measures Smoking-attributable fraction estimated using the Preston-Glei-Wilmoth method; life expectancy at birth before and after the elimination of smoking-attributable deaths.Results In all macro-regions, the burden of past smoking has been declining among men but growing rapidly among women. The hypothetical removal of smoking-attributable deaths would eliminate roughly half of the contemporary advantage in life expectancy of the vanguard region South over the other macro-regions, apart from the East. In the latter, smoking only explains around a quarter (0.5 years) of the 2-year difference in male life expectancy compared with the South observed in 2019. Among women, eliminating smoking-attributable deaths would put the East in a more disadvantageous position compared with the South as well as the other macro-regions.Conclusion While regional differences in smoking histories explain large parts of the regional disparities in male mortality, they are playing an increasingly important role for female mortality trends and differentials. Health policies aiming at reducing regional inequalities should account for regional differences in past smoking behaviour.https://bmjopen.bmj.com/content/12/9/e064249.full
spellingShingle Pavel Grigoriev
Alyson van Raalte
Sebastian Klüsener
Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
BMJ Open
title Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
title_full Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
title_fullStr Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
title_full_unstemmed Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
title_short Quantifying the contribution of smoking to regional mortality disparities in Germany: a cross-sectional study
title_sort quantifying the contribution of smoking to regional mortality disparities in germany a cross sectional study
url https://bmjopen.bmj.com/content/12/9/e064249.full
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