Evidence map›Paper›PMID 40711853›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2025

Disease accumulation across birth cohorts in South Korea.

Anastasia Lam, Katherine Keenan, Mikko Myrskylä, Hill Kulu

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anastasia LamMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-3901-8796
Katherine KeenanSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0002-9670-1607
Mikko MyrskyläMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0003-4995-027X
Hill KuluSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0002-7936-8259

Funding

Identifying the Causes of the Stagnation in National U.S. Cardiovascular Disease MortalityR01AG075208 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI NEIL MEHTA · 2023 to 2026
$1.5M
Academy of Medical SciencesBritish Heart Foundation Diabetes UKEconomic and Social Research Council Centre for Population ChangeEconomic and Social Research Council Connecting Generations ES/K007394/1Economic and Social Research Council Connecting Generations ES/W002116/1ERC 101071773European Research CouncilEuropean UnionGlobal Challenges Research Fund SBF004\1093Government Department of Business, Energy and Industrial StrategyJane and Aatos Erkko FoundationMax Planck Society 5714240218Max Planck-University of Helsinki CenterNIA NIH HHS R01 AG075208NIA NIH HHS R01AG075208St Andrews-Max Planck PhD Studentship in Population HealthStrategic Research Council 345130Strategic Research Council 345131University of HelsinkiWellcome Trust
6 · The paper itself

Abstract

objectivesThis article estimates rates and age-trajectories of disease accumulation across South Korean birth cohorts and assesses whether observed cohort differences persist after accounting for early-life exposures and adult characteristics.

methodsData were from eight waves of the Korean Longitudinal Study of Aging (2006-2020) and included 8,202 participants aged 50 to 74 years. Birth cohorts were defined by historical periods: Japanese annexation (1932-1944), Korean liberation (1945-1949), Korean War (1950-1953), and Post-war (1954-1961). Poisson mixed-effects models were used to estimate disease accumulation using counts of self-reported chronic diseases. Models were built stepwise from a baseline model with cohort fixed effects. Subsequent models added a cohort/age interaction, early-life exposures (parental death and education), and adult characteristics (own education, residence, smoking, and obesity).

resultsThe Post-war (1954-1961) cohort has lower rates of disease accumulation than the older cohorts, which do not differ substantially from each other. Controlling for early-life exposures slightly reduces cohort differences, but controlling for adult characteristics leads to a larger reduction, leaving only the Korean liberation (1945-1949) cohort significantly different from the Post-war (1954-1961) cohort (IRR: 1.17, 95% CI: 1.07-1.29). This suggests adult characteristics explain most of the observed differences between the Post-war (1954-1961) and older cohorts, except the Korean liberation (1945-1949) cohort, which remains uniquely different due to unobserved factors. DISCUSSION: These findings highlight how historical context and life course experiences are jointly associated with disease accumulation across cohorts. Adult characteristics play an important role, especially for older cohorts, and could be considered as important targets for disease prevention strategies.

Indexed as

AgingBirth CohortAgedChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedRepublic of Koreachronic diseasecohort analysishealth disparitieslongitudinal methodspopulation aging

Identifiers

PMID40711853
PMCPMC12515078

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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.