Evidence map›Paper›PMID 41736819›Full record

ArticleBMJ public health2026

Geographical divides in male premature mortality in the CEE-FSU European region: an ecological study of 2320 spatial units in 12 countries, 2003-2019.

Pavel Grigoriev, Domantas Jasilionis, Sergey Timonin, Nataliia Levchuk, Pavlo Shevchuk, Olga Penina, Katalin Kovács, Sebastian Klüsener

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Pavel GrigorievFederal Institute for Population Research (BiB), Wiesbaden, Germany.ORCID https://orcid.org/0000-0003-1419-9885
Domantas JasilionisMax-Planck-Institute for Demographic Research, Rostock, Germany.ORCID https://orcid.org/0000-0001-9959-9292
Sergey TimoninSchool of Demography, The Australian National University, Canberra, Australian Capital Territory, Australia.ORCID https://orcid.org/0000-0001-6651-2023
Nataliia LevchukMax-Planck-Institute for Demographic Research, Rostock, Germany.ORCID https://orcid.org/0000-0003-4944-684X
Pavlo ShevchukMykhailo Ptukha Institute for Demography and Life Quality Research, Kyiv, Ukraine.ORCID https://orcid.org/0000-0003-1158-4438
Olga PeninaNicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Moldova.ORCID https://orcid.org/0000-0002-3884-2751
Katalin KovácsHungarian Demographic Research Institute, Budapest, Hungary.
Sebastian KlüsenerFederal Institute for Population Research (BiB), Wiesbaden, Germany.ORCID https://orcid.org/0000-0003-0436-3565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Male premature mortality has been one of the most critical components of the persistent health disadvantage observed in the countries of the former Soviet Union (FSU) and Central-Eastern Europe (CEE). The spatial dimension of this phenomenon has remained largely unexplored. Methods: We created a unique collection of harmonised regional cause-specific mortality data to assess spatiotemporal patterns of male premature mortality across 2320 territorial units in 12 FSU and CEE countries during 2003-2019. As an indicator of premature mortality, we apply the age-standardised mortality rate for the age group 20-64 years. Choropleth maps are employed to visualise the spatial patterns for all-cause and cause-specific mortality as well as statistically significant Results: Between 2003 and 2019, there was a substantial reduction in mortality levels across all countries and spatial units as well as a slight reduction in regional inequality. The most pronounced mortality disparities are visible within the FSU block: between regions of Russia and the Baltic States as well as between the neighbouring regions of Belarus and Ukraine. Several countries exhibit spatial gradients that are occasionally extending into neighbouring countries. The most notable gradients include a North-West-South gradient in Russia and East-West mortality divides in Hungary, Romania and Poland. Conclusion: Despite notable political and socioeconomic differences between the former socialist countries, the spatial mortality patterns have remained remarkably persistent across and within them. Historical and sociocultural contexts should be considered while interpreting contemporary mortality patterns.

Indexed as

Community HealthDemographyEpidemiologyPublic Health

Identifiers

PMID41736819
PMCPMC12927323

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