| Title |
Why did Danish women’s life expectancy stagnate? The influence of interwar generations’ smoking behaviour
|
|---|---|
| Published in |
European Journal of Epidemiology, September 2016
|
| DOI | 10.1007/s10654-016-0198-7 |
| Pubmed ID | |
| Authors |
Rune Lindahl-Jacobsen, Jim Oeppen, Silvia Rizzi, Sören Möller, Virginia Zarulli, Kaare Christensen, James W. Vaupel |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Slovenia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 55% |
| Student > Ph. D. Student | 1 | 9% |
| Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 27% |
| Medicine and Dentistry | 2 | 18% |
| Mathematics | 1 | 9% |
| Psychology | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 1 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2016.
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#18,472,072
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Outputs from European Journal of Epidemiology
#1,460
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#224,395
of 294,932 outputs
Outputs of similar age from European Journal of Epidemiology
#12
of 19 outputs
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