Evidence map›Paper›PMID 42517089›Full record

ArticleFrontiers in public health2026

Concentration of educational attainment and age-specific risk patterns of preventable avoidable mortality in Hungary, 2007-2023.

B Burkali, A Juhász, B Oroszi, R Ádány, Cs Nagy

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Article in Frontiers in 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

B BurkaliDoctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary.
A JuhászCenter for Epidemiology and Surveillance, Semmelweis University, National Laboratory for Health Security, Budapest, Hungary.
B OrosziCenter for Epidemiology and Surveillance, Semmelweis University, National Laboratory for Health Security, Budapest, Hungary.
R ÁdányDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Cs NagyDoctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Educational attainment is one of the most consequential social determinants of health, fundamentally shaping mortality risks and the patterns of health inequalities. The international literature has extensively documented a close association between socioeconomic disadvantage and poor health-a relationship that is particularly pronounced in post-socialist countries, including Hungary. Hungarian studies likewise show that social deprivation particularly the education is not merely a background determinant but an independent health-shaping factor, producing clearly detectable differences in avoidable mortality even at the settlement-level. The relationship between mortality risk and educational attainment was modelled using negative binomial regression with a log-link function, applying log-transformed population counts as an offset variable. Associations were examined by age, sex, and settlement type, allowing for age-specific analysis of the impact of education on preventable avoidable mortality (PAM) risk. Our results confirm that PAM is most strongly associated with the concentration of low-educated populations, along which a pronounced social gradient emerges. In areas with the highest concentration of low-educated populations, the mortality risk was nearly 40% higher compared to settlements in the lowest quintile of low-educated concentration while a high concentration of tertiary education was associated with a reduction in mortality risk of similar magnitude. The gradient was consistent across all educational levels and was strongest and most linear among the least educated. Age-specific models revealed that the effect of education peaked in the 35-54 age group and gradually weakened in older populations, consistent with the theories of cumulative disadvantage and the survivor effect. While tertiary education was strongly associated with lower mortality risk and low education was associated with substantially higher mortality risk, the association among vocationally trained groups was weak and heterogeneous. Overall, preventable mortality proved highly sensitive to educational inequalities, underscoring that investment in education-particularly the training of disadvantaged groups-remains one of the most effective strategies for improving population health and reducing social disparities.

Indexed as

Educational StatusMortalityAdolescentAdultAgedAge FactorsChild, PreschoolFemaleHumansHungaryInfantLow Socioeconomic StatusMaleMiddle AgedRisk FactorsSocioeconomic Disparities in Healthcumulative disadvantagedeprivationeducational attainmentlife-course perspectivepreventable avoidable mortalitysocial gradient

Identifiers

PMID42517089
PMCPMC13402486

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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.