Cargando…

Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries

BACKGROUND: Of all lifestyle behaviours, smoking caused the most deaths in the last century. Because of the time lag between the act of smoking and dying from smoking, and because males generally take up smoking before females do, male and female smoking epidemiology often follows a typical double w...

Descripción completa

Detalles Bibliográficos
Autores principales: Wensink, Maarten, Alvarez, Jesús-Adrián, Rizzi, Silvia, Janssen, Fanny, Lindahl-Jacobsen, Rune
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954612/
https://www.ncbi.nlm.nih.gov/pubmed/31924192
http://dx.doi.org/10.1186/s12889-020-8148-4
_version_ 1783486831681077248
author Wensink, Maarten
Alvarez, Jesús-Adrián
Rizzi, Silvia
Janssen, Fanny
Lindahl-Jacobsen, Rune
author_facet Wensink, Maarten
Alvarez, Jesús-Adrián
Rizzi, Silvia
Janssen, Fanny
Lindahl-Jacobsen, Rune
author_sort Wensink, Maarten
collection PubMed
description BACKGROUND: Of all lifestyle behaviours, smoking caused the most deaths in the last century. Because of the time lag between the act of smoking and dying from smoking, and because males generally take up smoking before females do, male and female smoking epidemiology often follows a typical double wave pattern dubbed the ‘smoking epidemic’. How are male and female deaths from this epidemic differentially progressing in high-income regions on a cohort-by-age basis? How have they affected male-female survival differences? METHODS: We used data for the period 1950–2015 from the WHO Mortality Database and the Human Mortality Database on three geographic regions that have progressed most into the smoking epidemic: high-income North America, high-income Europe and high-income Oceania. We examined changes in smoking-attributable mortality fractions as estimated by the Preston-Glei-Wilmoth method by age (ages 50–85) across birth cohorts 1870–1965. We used these to trace sex differences with and without smoking-attributable mortality in period life expectancy between ages 50 and 85. RESULTS: In all three high-income regions, smoking explained up to 50% of sex differences in period life expectancy between ages 50 and 85 over the study period. These sex differences have declined since at least 1980, driven by smoking-attributable mortality, which tended to decline in males and increase in females overall. Thus, there was a convergence between sexes across recent cohorts. While smoking-attributable mortality was still increasing for older female cohorts, it was declining for females in the more recent cohorts in the US and Europe, as well as for males in all three regions. CONCLUSIONS: The smoking epidemic contributed substantially to the male-female survival gap and to the recent narrowing of that gap in high-income North America, high-income Europe and high-income Oceania. The precipitous decline in smoking-attributable mortality in recent cohorts bodes somewhat hopeful. Yet, smoking-attributable mortality remains high, and therefore cause for concern.
format Online
Article
Text
id pubmed-6954612
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69546122020-01-14 Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries Wensink, Maarten Alvarez, Jesús-Adrián Rizzi, Silvia Janssen, Fanny Lindahl-Jacobsen, Rune BMC Public Health Research Article BACKGROUND: Of all lifestyle behaviours, smoking caused the most deaths in the last century. Because of the time lag between the act of smoking and dying from smoking, and because males generally take up smoking before females do, male and female smoking epidemiology often follows a typical double wave pattern dubbed the ‘smoking epidemic’. How are male and female deaths from this epidemic differentially progressing in high-income regions on a cohort-by-age basis? How have they affected male-female survival differences? METHODS: We used data for the period 1950–2015 from the WHO Mortality Database and the Human Mortality Database on three geographic regions that have progressed most into the smoking epidemic: high-income North America, high-income Europe and high-income Oceania. We examined changes in smoking-attributable mortality fractions as estimated by the Preston-Glei-Wilmoth method by age (ages 50–85) across birth cohorts 1870–1965. We used these to trace sex differences with and without smoking-attributable mortality in period life expectancy between ages 50 and 85. RESULTS: In all three high-income regions, smoking explained up to 50% of sex differences in period life expectancy between ages 50 and 85 over the study period. These sex differences have declined since at least 1980, driven by smoking-attributable mortality, which tended to decline in males and increase in females overall. Thus, there was a convergence between sexes across recent cohorts. While smoking-attributable mortality was still increasing for older female cohorts, it was declining for females in the more recent cohorts in the US and Europe, as well as for males in all three regions. CONCLUSIONS: The smoking epidemic contributed substantially to the male-female survival gap and to the recent narrowing of that gap in high-income North America, high-income Europe and high-income Oceania. The precipitous decline in smoking-attributable mortality in recent cohorts bodes somewhat hopeful. Yet, smoking-attributable mortality remains high, and therefore cause for concern. BioMed Central 2020-01-10 /pmc/articles/PMC6954612/ /pubmed/31924192 http://dx.doi.org/10.1186/s12889-020-8148-4 Text en © The Author(s). 2020 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
Wensink, Maarten
Alvarez, Jesús-Adrián
Rizzi, Silvia
Janssen, Fanny
Lindahl-Jacobsen, Rune
Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title_full Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title_fullStr Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title_full_unstemmed Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title_short Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
title_sort progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954612/
https://www.ncbi.nlm.nih.gov/pubmed/31924192
http://dx.doi.org/10.1186/s12889-020-8148-4
work_keys_str_mv AT wensinkmaarten progressionofthesmokingepidemicinhighincomeregionsanditseffectsonmalefemalesurvivaldifferencesacohortbyageanalysisof17countries
AT alvarezjesusadrian progressionofthesmokingepidemicinhighincomeregionsanditseffectsonmalefemalesurvivaldifferencesacohortbyageanalysisof17countries
AT rizzisilvia progressionofthesmokingepidemicinhighincomeregionsanditseffectsonmalefemalesurvivaldifferencesacohortbyageanalysisof17countries
AT janssenfanny progressionofthesmokingepidemicinhighincomeregionsanditseffectsonmalefemalesurvivaldifferencesacohortbyageanalysisof17countries
AT lindahljacobsenrune progressionofthesmokingepidemicinhighincomeregionsanditseffectsonmalefemalesurvivaldifferencesacohortbyageanalysisof17countries