Evidence map›Paper›PMID 41787407›Full record

ArticleBMC public health2026

Validation of a health literacy assessment tool in a nationwide population: a measurement invariance study using confirmatory factor analysis and multiple-group latent class analysis.

Hanna Lee, Jeongwon Han

Abstract readValidation Study
In one paragraph

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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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hanna LeeGangneung-Wonju National University, Gangneung, Republic of Korea.
Jeongwon HanCollege of Nursing Science, Kyung Hee University, 26, Kyunghee-daero, Dongdaemun-gu, Seoul, 02447, Republic of Korea. hjw0721@khu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with lower health literacy are more vulnerable to misinformation and may face challenges in disease prevention, treatment, and healthcare utilization6. Accordingly, accurately assessing the level of individuals’ health literacy and implementing educational and policy-based interventions to improve it are essential public health goals. This study assessed the psychometric properties of a health literacy assessment tool, using data from the 2023 Korea National Health and Nutrition Examination Survey (KNHANES). Specifically, the study tested measurement invariance across sociodemographic groups and identified latent health literacy subgroups using multiple-group latent class analysis (LCA).

methodsData from 5,677 adults aged 19 years and older who participated in the 2023 KNHANES were analyzed. A confirmatory factor analysis (CFA) was conducted to validate the factor structure of the tool, and measurement invariance was tested across gender, age, educational level, income, and spousal cohabitation using multiple-group analyses. In addition, an LCA was performed to classify subgroups based on health literacy levels and to identify item-level response differences.

resultsThe CFA results supported a unidimensional structure with excellent model fit. The measurement invariance testing confirmed configural, metric, scalar, and strict invariance across all of the sociodemographic groups. The LCA identified a two-class model as the best fit, with a significant between-group difference in the response to the item assessing confidence in knowing what to do first in an emergency.

conclusionThe findings reaffirm the validity and reliability of the health literacy tool across diverse subpopulations. Moreover, the LCA proved useful in identifying subpopulations with limited health information utilization. These results provide a valuable empirical basis for the development of targeted health literacy interventions and public health policy planning.

trial registrationClinical trial number: not applicable.

Indexed as

Health LiteracyAdultAgedFactor Analysis, StatisticalFemaleHumansLatent Class AnalysisMaleMiddle AgedNutrition SurveysPsychometricsReproducibility of ResultsRepublic of KoreaSurveys and QuestionnairesYoung AdultFactor analysisHealth literacyLatent class analysisReproducibility of resultsStatistical

Identifiers

PMID41787407
PMCPMC13077817

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