Evidence map›Paper›PMID 40382589›Full record

ArticleBMC public health2025

Health literacy disparities in South Korea: insights from a latent profile analysis.

Sunghyun Kim, Suwon Hwang, Junhyup Lee, Mankyu Choi

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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2 · The registry

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3 · Its place in the literature

Who cites it

3 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

4 authors.

Sunghyun Kim *Department of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea.
Suwon Hwang *Department of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea.
Junhyup LeeDepartment of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea. junhlee@korea.ac.kr.
Mankyu ChoiDepartment of Health Policy & Management, College of Public Health Science and Transdisciplinary Major in Learning Health Systems, Graduate School, Korea University, Seoul, South Korea. mkchoi@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy has been empirically linked to overall health outcomes. Existing interventions generally employ a variable-centred approach, often neglecting the cumulative impact of various factors and the ways different groups interact with health information. We aimed to explore health literacy in the general population of South Korea by identifying and characterising distinct health literacy profiles using latent profile analysis.

methodsA cross-sectional design was utilised, analysing health literacy data from the second wave of the Korea Health Panel Survey (collected between March and July 2021) with responses from 9,509 adults. Health literacy was assessed in the domains of health management, disease prevention, and health promotion using the 16-item European Health Literacy Survey Questionnaire. Latent profile analysis was used to identify health literacy profiles, and multinomial logistic regression analysis was used to examine sociodemographic and health-related factors associated with profile membership.

resultsLatent profile analysis revealed three distinct health literacy groups: low (27.91%), moderate (63.51%), and high (8.58%). A social gradient was observed, with disparities in age, education, income, and residence observed across the groups. Membership in the low health literacy group was associated with being older, disability, and chronic disease-populations with heightened healthcare needs.

conclusionsThe findings underscore the need for targeted interventions to address the unique challenges faced by populations with low health literacy in a universal health coverage system such as that of South Korea. By identifying those at highest risk for low HLit and targeting policy measures accordingly, healthcare systems can allocate resources more effectively and make health information genuinely accessible for all. In doing so, such strategies can ultimately help mitigate the disparities highlighted in this study. These insights provide a foundation for policies aimed at promoting health equity through focused health literacy initiatives.

Indexed as

Health LiteracyHealth Status DisparitiesAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedRepublic of KoreaSocioeconomic FactorsSurveys and QuestionnairesYoung AdultChronic diseaseHealth disparitiesHealth literacyLatent profile analysisPublic health

Identifiers

PMID40382589
PMCPMC12084941

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LicenceCC BY
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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.