Evidence map›Paper›PMID 27035998›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

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

Rune Lindahl-Jacobsen, Roland Rau, Bernard Jeune, Vladimir Canudas-Romo, Adam Lenart, Kaare Christensen, James W Vaupel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Cohort mortality forecasts indicate signs of deceleration in life expectancy gains.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Forecasting Inequalities in Survival to Retirement Age by Socioeconomic Status in Denmark and Sweden.European journal of population = Revue europeenne de demographie · 2024
    Article
  6. [Mortality trends in Germany in an international context].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Demographic perspectives on the rise of longevity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Location-Scale Models in Demography: A Useful Re-parameterization of Mortality Models.European journal of population = Revue europeenne de demographie · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Do Japanese and Italian Women Live Longer than Women in Scandinavia?European journal of population = Revue europeenne de demographie · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rune Lindahl-JacobsenDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5000 Odense, Denmark;
Roland RauMax Planck Institute for Demographic Research, 18057, Rostock, Germany; Department of Sociology & Demography, University of Rostock, 18057, Rostock, Germany;
Bernard JeuneDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark;
Vladimir Canudas-RomoDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5000 Odense, Denmark;
Adam LenartDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5000 Odense, Denmark;
Kaare ChristensenDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5000 Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, 5000 Odense, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000 Odense, Denmark;
James W VaupelDanish Aging Research Center, Unit of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, DK-5000 Odense, Denmark; Max Planck Institute for Demographic Research, 18057, Rostock, Germany; Duke University Population Research Institute, Duke University, Durham, NC 27708-0989 jvaupel@health.sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health conditions change from year to year, with a general tendency in many countries for improvement. These conditions also change from one birth cohort to another: some generations suffer more adverse events in childhood, smoke more heavily, eat poorer diets, etc., than generations born earlier or later. Because it is difficult to disentangle period effects from cohort effects, demographers, epidemiologists, actuaries, and other population scientists often disagree about cohort effects' relative importance. In particular, some advocate forecasts of life expectancy based on period trends; others favor forecasts that hinge on cohort differences. We use a combination of age decomposition and exchange of survival probabilities between countries to study the remarkable recent history of female life expectancy in Denmark, a saga of rising, stagnating, and now again rising lifespans. The gap between female life expectancy in Denmark vs. Sweden grew to 3.5 y in the period 1975-2000. When we assumed that Danish women born 1915-1945 had the same survival probabilities as Swedish women, the gap remained small and roughly constant. Hence, the lower Danish life expectancy is caused by these cohorts and is not attributable to period effects.

Indexed as

LongevityAgedAged, 80 and overCause of DeathDenmarkFemaleHumansLife ExpectancyPopulation DynamicsSwedencohort effectsdecompositioninterwar Danish womenlife expectancyperiod effects

Identifiers

PMID27035998
PMCPMC4839462

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.