Evidence map›Paper›PMID 42458355›Full record

ArticleBMC public health2026

Socioeconomic gradients in hypertension prevalence and management: a cross-sectional study.

Eunji Kim, Hokyou Lee, YunJae Jung, Hyeon Chang Kim

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Article in BMC 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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1 · What the graph read from it

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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.

Eunji KimDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-1306-4105
Hokyou LeeDepartment of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0002-5034-8422
YunJae JungDepartment of Microbiology, Gachon University College of Medicine, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-1574-696X
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea. hckim@yuhs.ac.ORCID https://orcid.org/0000-0001-7867-1240

Funding

Gachon University GCU-202405170001National Research Foundation of Korea NRF-2021R1A5A2030333
6 · The paper itself

Abstract

backgroundDespite advances in hypertension treatment, achieving optimal blood pressure control remains a major public health challenge. Socioeconomic status (SES) may influence hypertension management; however, evidence on its associations with pharmacotherapy, lifestyle modification, and self-management education remains limited. In this study, the association between SES and hypertension-related outcomes in the Republic of Korea was investigated.

methodsIn this nationwide cross-sectional study, data from the 2023 Korea Community Health Survey were analyzed, comprising 231,584 and 228,608 adults for educational attainment and household income analyses, respectively. Hypertension-related outcomes included diagnosed hypertension, pharmacotherapy, lifestyle modification, and self-management education. Crude and age- and sex-adjusted rates were calculated, followed by multivariable logistic regression analyses, adjusting for potential confounders.

resultsOverall, the prevalence of diagnosed hypertension was 31.3%. Among participants with hypertension, the rates of pharmacotherapy, lifestyle modification, and self-management education were 95.9%, 23.8%, and 15.5%, respectively. The multivariable analyses showed a dose-response relationship between SES and outcomes: participants with primary school education or less had higher odds of diagnosed hypertension (odds ratio, 1.79; 95% confidence interval, 1.71-1.88) and pharmacotherapy use (2.04; 1.67-2.50) but lower odds of lifestyle modification engagement (0.47; 0.43-0.50) and receiving self-management education (0.34; 0.31-0.38) compared to those with college degree or higher. Notably, these socioeconomic gradients remained robustly consistent across all strata, while significantly steeper gradients were observed among females and younger adults (< 65 years). Analyses by household income showed similar patterns of associations, although with slightly weaker magnitudes.

conclusionsLower SES was associated with a higher prevalence of diagnosed hypertension and pharmacotherapy use but lower participation in lifestyle modifications and self-management education. Strengthening tailored self-management education and lifestyle modification support for socioeconomically disadvantaged groups may be an important strategy to reduce hypertension-related disparities.

Indexed as

HypertensionAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansLow Socioeconomic StatusMaleMiddle AgedPrevalenceRepublic of KoreaSocioeconomic Disparities in HealthChronic diseaseHealth educationHypertensionRisk reduction behaviorSocioeconomic disparities in healthSocioeconomic factors

Identifiers

PMID42458355
PMCPMC13647646

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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.