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
Abstract 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...
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doaj-886db2bea70f4d4485471186e3b0781d2021-01-10T12:06:41ZengBMCBMC Public Health1471-24582020-01-012011810.1186/s12889-020-8148-4Progression of the smoking epidemic in high-income regions and its effects on male-female survival differences: a cohort-by-age analysis of 17 countriesMaarten Wensink0Jesús-Adrián Alvarez1Silvia Rizzi2Fanny Janssen3Rune Lindahl-Jacobsen4Interdisciplinary Centre on Population Dynamics, University of Southern DenmarkInterdisciplinary Centre on Population Dynamics, University of Southern DenmarkInterdisciplinary Centre on Population Dynamics, University of Southern DenmarkPopulation Research Centre, Faculty of Spatial Sciences, University of GroningenInterdisciplinary Centre on Population Dynamics, University of Southern DenmarkAbstract 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.https://doi.org/10.1186/s12889-020-8148-4Sex differencesLife expectancySmoking epidemicMortalityHealth inequality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maarten Wensink Jesús-Adrián Alvarez Silvia Rizzi Fanny Janssen Rune Lindahl-Jacobsen |
spellingShingle |
Maarten Wensink Jesús-Adrián Alvarez Silvia Rizzi Fanny Janssen Rune Lindahl-Jacobsen 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 BMC Public Health Sex differences Life expectancy Smoking epidemic Mortality Health inequality |
author_facet |
Maarten Wensink Jesús-Adrián Alvarez Silvia Rizzi Fanny Janssen Rune Lindahl-Jacobsen |
author_sort |
Maarten Wensink |
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_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_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_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 |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2020-01-01 |
description |
Abstract 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. |
topic |
Sex differences Life expectancy Smoking epidemic Mortality Health inequality |
url |
https://doi.org/10.1186/s12889-020-8148-4 |
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