ArticleScientific reports2025
Cross-sectional analysis of sociodemographic factors associated with self-reported and knowledge-based health literacy in Korea using data from KNHANES 2023.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Lower Health Literacy Is Associated with Poorer Diet Quality in Korean Adults: An Association Masked by Age.Nutrients · 2026Article
- Knowledge and Determinants of Nonalcoholic Fatty Liver Disease Among Adults in Northern Border Region, Saudi Arabia: A Cross-Sectional Study.Diseases (Basel, Switzerland) · 2026Article
- Article
- Determinants of loss to follow-up after eye-related emergency visits: A race-stratified analysis at a level I trauma center.PloS one · 2026Article
- The latent profile of health literacy among older adults patients with chronic disease comorbidity and its association with self-management behaviors.Frontiers in public health · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Health literacy is a key factor influencing treatment adherence and outcomes. This study analyzed the 2023 Korea National Health and Nutrition Examination Survey (KNHANES) to explore the relationship between demographic and socioeconomic factors and health literacy. We examined associations between factors such as age, gender, residential region, education, and income with health literacy, which consisted of 10 questions and 1 knowledge assessment. Multiple linear regression was applied to the sum of health literacy scores, and multivariate ordinal regression was used for the knowledge assessment. A total of 5,713 participants were analyzed. Results showed that age ≥ 65 years negatively affected health literacy scores (- 1.01), while females had a positive effect (0.93), though elderly females had a negative impact (- 1.60). Higher education and income were positively associated with health literacy, with education showing the greatest effect (3.42). Elderly individuals and education levels had the strongest negative and positive effects, respectively, in the Technology and Resources domain. In conclusion, older age, lower education, and lower income were linked to lower health literacy, with gender's impact varying by age group, especially in digital health literacy.
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Registered trials
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