Evidence map›Paper›PMID 40973464›Full record

ArticleEuropean journal of public health2025

Geographical and socio-economic inequalities in years of life lost across Norwegian municipalities and city districts in 2019: an ecological registry-based study.

Hege Breivik, Ingeborg Forthun, Ann K S Knudsen, Lode van der Velde, Carl M Baravelli

Abstract read
In one paragraph

Article in European journal of public health, 2025. 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

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

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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

5 authors.

Hege BreivikInstitute of Health and Society, University of Oslo, Oslo, Norway.ORCID 0009-0008-7803-0687
Ingeborg ForthunDepartment of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.ORCID 0000-0001-8097-6959
Ann K S KnudsenDepartment of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.
Lode van der VeldeDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9714-6211
Carl M BaravelliDepartment of Disease Burden, Norwegian Institute of Public Health, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding local level impact of socio-economic and spatial disparities on health outcomes is crucial for informing effective public health interventions. This study examines the association between socio-economic factors, centrality, and premature mortality-measured as years of life lost (YLLs)-across Norwegian municipalities. We conducted an ecological, cross-sectional registry-based study across municipalities and districts, each with populations exceeding 1000 as of 1 January 2019. Data on mortality, demographics, education, income, and centrality were sourced from Statistics Norway. All-cause YLLs were calculated by multiplying age-specific mortality numbers by aspirational life expectancy from the Global Burden of Disease 2019 life tables. Municipalities were divided into quartiles based on a composite socio-economic position (SEP) score that integrated education and income, and grouped into centrality categories. Mixed-effects negative binomial regression models, crude and adjusted for age categories and sex, evaluated both relative and absolute associations. The lowest SEP quartile, assessed with a composite SEP score, had a 15% higher YLL rate compared to the highest quartile [incidence rate ratio (IRR) = 1.15; 95% confidence interval (CI) = 1.07-1.24], amounting to an absolute difference of 2127 YLLs per 100 000 population. Similarly, the least central quartile exhibited a 15% higher YLL rate compared to the most central one (IRR = 1.15; 95% CI = 1.09-1.21), translating to an absolute difference of 2057 YLLs per 100 000 population. There are substantial inequalities in premature mortality across Norwegian municipalities, strongly linked to municipal SEP and centrality.

Indexed as

Health Status DisparitiesLife ExpectancyMortality, PrematureSocioeconomic FactorsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCitiesCross-Sectional StudiesFemaleHumansInfantInfant, Newborn

Identifiers

PMID40973464
PMCPMC12707486

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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.