Literature DB >> 27637782

Why did Danish women's life expectancy stagnate? The influence of interwar generations' smoking behaviour.

Rune Lindahl-Jacobsen1,2, Jim Oeppen3,4, Silvia Rizzi3,4, Sören Möller5, Virginia Zarulli3,4, Kaare Christensen3,6,4, James W Vaupel3,7,4,8.   

Abstract

The general health status of a population changes over time, generally in a positive direction. Some generations experience more unfavourable conditions than others. The health of Danish women in the interwar generations is an example of such a phenomenon. The stagnation in their life expectancy between 1977 and 1995 is thought to be related to their smoking behaviour. So far, no study has measured the absolute effect of smoking on the mortality of the interwar generations of Danish women and thus the stagnation in Danish women's life expectancy. We applied a method to estimate age-specific smoking-attributable number of deaths to examine the effect of smoking on the trends in partial life expectancy of Danish women between age 50 and 85 from 1950 to 2012. We compared these trends to those for women in Sweden, where there was no similar stagnation in life expectancy. When smoking-attributable mortality was excluded, the gap in partial life expectancy at age 50 between Swedish and Danish women diminished substantially. The effect was most pronounced in the interwar generations. The major reason for the stagnation in Danish women's partial life expectancy at age 50 was found to be smoking-related mortality in the interwar generations.

Entities:  

Keywords:  Age decomposition; Cohort effects; Interwar Danish women; Life expectancy; Mortality; Smoking

Mesh:

Year:  2016        PMID: 27637782     DOI: 10.1007/s10654-016-0198-7

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  8 in total

1.  Increased mortality among Danish women: population based register study.

Authors:  K Juel
Journal:  BMJ       Date:  2000-08-05

2.  Reexamining the Dominance of Birth Cohort Effects on Mortality.

Authors:  Michael Murphy
Journal:  Popul Dev Rev       Date:  2010

3.  Death-rates in Great Britain and Sweden: Expression of Specific Mortality Rates as Products of Two Factors, and some Consequences thereof.

Authors:  W O Kermack; A G McKendrick; P L McKinlay
Journal:  J Hyg (Lond)       Date:  1934-12

4.  Causes of death behind low life expectancy of Danish women.

Authors:  Rune Jacobsen; Niels Keiding; Elsebeth Lynge
Journal:  Scand J Public Health       Date:  2006       Impact factor: 3.021

5.  Rise, stagnation, and rise of Danish women's life expectancy.

Authors:  Rune Lindahl-Jacobsen; Roland Rau; Bernard Jeune; Vladimir Canudas-Romo; Adam Lenart; Kaare Christensen; James W Vaupel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

6.  Women's death in Scandinavia--what makes Denmark different?

Authors:  Rune Jacobsen; My Von Euler; Merete Osler; Elsebeth Lynge; Niels Keiding
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

7.  A new method for estimating smoking-attributable mortality in high-income countries.

Authors:  Samuel H Preston; Dana A Glei; John R Wilmoth
Journal:  Int J Epidemiol       Date:  2009-12-23       Impact factor: 7.196

8.  Efficient estimation of smooth distributions from coarsely grouped data.

Authors:  Silvia Rizzi; Jutta Gampe; Paul H C Eilers
Journal:  Am J Epidemiol       Date:  2015-06-16       Impact factor: 4.897

  8 in total
  6 in total

1.  Location-Scale Models in Demography: A Useful Re-parameterization of Mortality Models.

Authors:  Ugofilippo Basellini; Vladimir Canudas-Romo; Adam Lenart
Journal:  Eur J Popul       Date:  2018-10-24

2.  The combined impact of smoking, obesity and alcohol on life-expectancy trends in Europe.

Authors:  Fanny Janssen; Sergi Trias-Llimós; Anton E Kunst
Journal:  Int J Epidemiol       Date:  2021-07-09       Impact factor: 7.196

3.  Potential gains in life expectancy by reducing inequality of lifespans in Denmark: an international comparison and cause-of-death analysis.

Authors:  José Manuel Aburto; Maarten Wensink; Alyson van Raalte; Rune Lindahl-Jacobsen
Journal:  BMC Public Health       Date:  2018-07-04       Impact factor: 3.295

4.  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.

Authors:  Maarten Wensink; Jesús-Adrián Alvarez; Silvia Rizzi; Fanny Janssen; Rune Lindahl-Jacobsen
Journal:  BMC Public Health       Date:  2020-01-10       Impact factor: 3.295

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

Authors:  Pavel Grigoriev; Sebastian Klüsener; Alyson van Raalte
Journal:  BMJ Open       Date:  2022-09-30       Impact factor: 3.006

6.  Sex differences in the 1-year risk of dying following all-cause and cause-specific hospital admission after age 50 in comparison with a general and non-hospitalised population: a register-based cohort study of the Danish population.

Authors:  Andreas Höhn; Lisbeth Aagaard Larsen; Daniel Christoph Schneider; Rune Lindahl-Jacobsen; Roland Rau; Kaare Christensen; Anna Oksuzyan
Journal:  BMJ Open       Date:  2018-07-17       Impact factor: 2.692

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.