Literature DB >> 25700770

The role of smoking in changes in the survival curve: an empirical study in 10 European countries.

Fanny Janssen1, Valentin Rousson2, Fred Paccaud2.   

Abstract

PURPOSE: We examined the role of smoking in the two dimensions behind the time trends in adult mortality in European countries, that is, rectangularization of the survival curve (mortality compression) and longevity extension (increase in the age-at-death).
METHODS: Using data on national sex-specific populations aged 50 years and older from Denmark, Finland, France, West Germany, Italy, the Netherlands, Norway, Sweden, Switzerland, and the United Kingdom, we studied trends in life expectancy, rectangularity, and longevity from 1950 to 2009 for both all-cause and nonsmoking-related mortality and correlated them with trends in lifetime smoking prevalence.
RESULTS: For all-cause mortality, rectangularization accelerated around 1980 among men in all the countries studied, and more recently among women in Denmark and the United Kingdom. Trends in lifetime smoking prevalence correlated negatively with both rectangularization and longevity extension, but more negatively with rectangularization. For nonsmoking-related mortality, rectangularization among men did not accelerate around 1980. Among women, the differences between all-cause mortality and nonsmoking-related mortality were small, but larger for rectangularization than for longevity extension. Rectangularization contributed less to the increase in life expectancy than longevity extension, especially for nonsmoking-related mortality among men.
CONCLUSIONS: Smoking affects rectangularization more than longevity extension, both among men and women.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Compression; Life expectancy; Mortality; Sex differences; Smoking-related mortality

Mesh:

Year:  2015        PMID: 25700770     DOI: 10.1016/j.annepidem.2015.01.007

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  8 in total

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7.  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.

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8.  Similarities and Differences Between Sexes and Countries in the Mortality Imprint of the Smoking Epidemic in 34 Low-Mortality Countries, 1950-2014.

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  8 in total

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