Evidence map›Paper›PMID 28493101›Full record

ArticleDemography2017

The German East-West Mortality Difference: Two Crossovers Driven by Smoking.

Tobias Vogt, Alyson van Raalte, Pavel Grigoriev, Mikko Myrskylä

Abstract read
In one paragraph

Article in Demography, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. [Mortality trends in Germany in an international context].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
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  5. Article
  6. The underwhelming German life expectancy.European journal of epidemiology · 2023
    Article
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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

4 authors.

Tobias VogtMax Planck Institute for Demographic Research, Konrad-Zuse-Str.1, 18057, Rostock, Germany.
Alyson van RaalteMax Planck Institute for Demographic Research, Konrad-Zuse-Str.1, 18057, Rostock, Germany. vanraalte@demogr.mpg.de.
Pavel GrigorievMax Planck Institute for Demographic Research, Konrad-Zuse-Str.1, 18057, Rostock, Germany.
Mikko MyrskyläMax Planck Institute for Demographic Research, Konrad-Zuse-Str.1, 18057, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Before the fall of the Berlin Wall, mortality was considerably higher in the former East Germany than in West Germany. The gap narrowed rapidly after German reunification. The convergence was particularly strong for women, to the point that Eastern women aged 50-69 now have lower mortality despite lower incomes and worse overall living conditions. Prior research has shown that lower smoking rates among East German female cohorts born in the 1940s and 1950s were a major contributor to this crossover. However, after 1990, smoking behavior changed dramatically, with higher smoking intensity observed among women in the eastern part of Germany. We forecast the impact of this changing smoking behavior on East-West mortality differences and find that the higher smoking rates among younger East German cohorts will reverse their contemporary mortality advantage. Mortality forecasting methods that do not account for smoking would, perhaps misleadingly, forecast a growing mortality advantage for East German women. Experience from other countries shows that smoking can be effectively reduced by strict anti-smoking policies. Instead, East Germany is becoming an example warning of the consequences of weakening anti-smoking policies and changing behavioral norms.

Indexed as

Models, StatisticalAdultAgedFemaleGermany, EastGermany, WestHumansLung NeoplasmsMaleMiddle AgedMortalitySmokingConvergenceGermanyMortality forecastSmoking

Identifiers

PMID28493101
PMCPMC5486873

What OpenQuestion holds

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Registered trials

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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.