Evidence map›Paper›PMID 36180117›Full record

ArticleBMJ open2022

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

Pavel Grigoriev, Sebastian Klüsener, Alyson van Raalte

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Seasonal Mortality and its Impact on Spatial Inequality in Life Expectancy Across Italy.European journal of population = Revue europeenne de demographie · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. [Mortality trends in Germany in an international context].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  7. [Regional differences and trends in healthy life expectancy in Germany].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
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

3 authors.

Pavel GrigorievDemographic Change and Longevity, Federal Institute for Population Research (BiB), Wiesbaden, Germany Pavel.Grigoriev@bib.bund.de.ORCID 0000-0003-1419-9885
Sebastian KlüsenerDemographic Change and Longevity, Federal Institute for Population Research (BiB), Wiesbaden, Germany.
Alyson van RaalteMax Planck Institute for Demographic Research, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSubstantial regional variation in smoking behaviour in Germany has been well documented. However, little is known about how these regional differences in smoking affect regional mortality disparities. We aim to assess the contribution of smoking to regional mortality differentials in Germany over the last four decades.

designA cross-sectional study using official cause-specific mortality data by German Federal State aggregated into five macro-regions: East, North, South, West-I and West-II.

participantsThe entire population of Germany stratified by sex, age and region during 1980-2019.

main outcome measuresSmoking-attributable fraction estimated using the Preston-Glei-Wilmoth method; life expectancy at birth before and after the elimination of smoking-attributable deaths.

resultsIn all macro-regions, the burden of past smoking has been declining among men but growing rapidly among women. The hypothetical removal of smoking-attributable deaths would eliminate roughly half of the contemporary advantage in life expectancy of the vanguard region South over the other macro-regions, apart from the East. In the latter, smoking only explains around a quarter (0.5 years) of the 2-year difference in male life expectancy compared with the South observed in 2019. Among women, eliminating smoking-attributable deaths would put the East in a more disadvantageous position compared with the South as well as the other macro-regions.

conclusionWhile regional differences in smoking histories explain large parts of the regional disparities in male mortality, they are playing an increasingly important role for female mortality trends and differentials. Health policies aiming at reducing regional inequalities should account for regional differences in past smoking behaviour.

Indexed as

Life ExpectancySmokingCross-Sectional StudiesFemaleGermanyHumansInfant, NewbornMaleMortalitySex DistributionEPIDEMIOLOGYPUBLIC HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID36180117
PMCPMC9528608

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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.