Evidence map›Paper›PMID 33516235›Full record

ArticlePopulation health metrics2021

Smoking and inequalities in mortality in 11 European countries: a birth cohort analysis.

Di Long, Johan Mackenbach, Pekka Martikainen, Olle Lundberg, Henrik Brønnum-Hansen, Matthias Bopp, Giuseppe Costa, Katalin Kovács, Mall Leinsalu, Maica Rodríguez-Sanz and 2 more

Abstract read
In one paragraph

Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Di LongDepartment of Public Health, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands. d.long@erasmusmc.nl.ORCID 0000-0001-6493-9314
Johan MackenbachDepartment of Public Health, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Pekka MartikainenPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Olle LundbergDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Henrik Brønnum-HansenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Matthias BoppEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Giuseppe CostaDepartment of Clinical Medicine and Biology, University of Turin, Torino, Italy.
Katalin KovácsDemographic Research Institute, Budapest, Hungary.
Mall LeinsaluStockholm Centre for Health and Social Change, Södertörn University, Huddinge, Sweden.
Maica Rodríguez-SanzAgència de Salut Pública de Barcelona, Barcelona, Spain.
Gwenn MenvielleSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.
Wilma NusselderDepartment of Public Health, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo study the trends of smoking-attributable mortality among the low and high educated in consecutive birth cohorts in 11 European countries.

methodsRegister-based mortality data were collected among adults aged 30 to 79 years in 11 European countries between 1971 and 2012. Smoking-attributable deaths were estimated indirectly from lung cancer mortality rates using the Preston-Glei-Wilmoth method. Rate ratios and rate differences among the low and high-educated were estimated and used to estimate the contribution of inequality in smoking-attributable mortality to inequality in total mortality.

resultsIn most countries, smoking-attributable mortality decreased in consecutive birth cohorts born between 1906 and 1961 among low- and high-educated men and high-educated women, but not among low-educated women among whom it increased. Relative educational inequalities in smoking-attributable mortality increased among both men and women with no signs of turning points. Absolute inequalities were stable among men but slightly increased among women. The contribution of inequality in smoking-attributable mortality to inequality in total mortality decreased in consecutive generations among men but increased among women.

conclusionsSmoking might become less important as a driver of inequalities in total mortality among men in the future. However, among women, smoking threatens to further widen inequalities in total mortality.

Indexed as

MortalitySmokingAdultCohort StudiesEducational StatusEuropeFemaleHumansMaleSocioeconomic FactorsBirth cohortEducational inequalitiesMortalitySmoking

Identifiers

PMID33516235
PMCPMC7847590

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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.