A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Cross-sectional analysis of sociodemographic factors associated with self-reported and knowledge-based health literacy in Korea using data from KNHANES 2023. | LitMetric

Cross-sectional analysis of sociodemographic factors associated with self-reported and knowledge-based health literacy in Korea using data from KNHANES 2023.

Sci Rep

Department of Pharmaceutical Science and Technology, Kyungsung University, No. 708 (7th floor), 309 Suyeong-ro Daeyeon-dong, Nam-ku, Busan, Republic of Korea.

Published: September 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405510PMC
http://dx.doi.org/10.1038/s41598-025-08705-9DOI Listing

Publication Analysis

Top Keywords

health literacy
36
health
10
literacy
9
education income
8
knowledge assessment
8
literacy scores
8
education
5
cross-sectional analysis
4
analysis sociodemographic
4
sociodemographic factors
4

Similar Publications