# Exploring the association between community-level factors and health literacy using multilevel analysis

## TL;DR

This study explores how community resources and social factors in South Korea influence health literacy among residents.

## Contribution

The paper introduces a multilevel analysis approach to assess the combined impact of individual and community-level factors on health literacy.

## Key findings

- Greater availability of healthcare professionals and sports facilities is linked to higher health literacy.
- Higher rates of unmet medical needs are associated with lower health literacy.
- Social capital indicators show marginal positive associations with health literacy.

## Abstract

This study aimed to examine how community-level factors—particularly health resources and social capital—affect health literacy (HL) among residents in South Korea.

We used data from the 2021 Community Health Survey and the Korean Community Health Status Indicators, incorporating both individual- and community-level variables. Key predictors of HL were first identified using elastic net regression to address multicollinearity. Subsequently, we applied Multilevel (or Hierarchical) logistic regression models using SAS version 9.4, and accounted for clustering at the community level, to assess the combined influence of individual characteristics and community-level conditions.

Multilevel analysis showed that individual characteristics including age, gender, income, occupation, and education were significantly associated with HL. Among the health resource variables, greater availability of healthcare professionals per 100,000 people (OR = 0.95, 95% CI = 0.94–0.99) and sports facilities (OR = 0.96, 95% CI = 0.94–0.98) were associated with higher HL. On the other hand, higher rates of unmet medical needs predicted lower HL (OR = 1.02, 95% CI = 1.01–1.04). Social capital indicators, such as mutual aid, religious participation, and social activities were also positively, yet marginally, linked to HL.

HL is shaped by both personal and community-level factors. Strategies to improve HL should simultaneously combine efforts to expand health infrastructure with measures to reduce social inequalities. Policymakers should prioritize vulnerable populations and strengthen community-based support systems that enhance access to and engagement with health information.

The online version contains supplementary material available at 10.1186/s12889-025-25724-3.