An investigation into the community health survey 2019 to analyze the health-related quality of life

Jeongju Hong () and Jae-Hee Kim ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 5, 69-82

Abstract: This study aimed to investigate the factors influencing health-related quality of life (HRQoL) among Korean adults using data from the 2019 Community Health Survey (CHS). A cross-sectional analysis was performed utilizing a nationally representative dataset. HRQoL was measured through the EuroQol-5 Dimension (EQ-5D) instrument. Descriptive statistics, t-tests, analysis of variance (ANOVA), and multiple regression analyses were conducted to examine the associations between HRQoL and various demographic and behavioral variables. The findings revealed that age, gender, educational attainment, and household income were significantly associated with HRQoL. Furthermore, health behaviors, including smoking, alcohol consumption, and physical activity, exhibited substantial impacts on HRQoL. These results underscore the necessity of developing tailored public health interventions that address both sociodemographic and behavioral determinants to enhance population health outcomes. The study offers practical implications for policymakers and healthcare professionals in formulating effective strategies aimed at improving quality of life across diverse demographic groups.

Keywords: Community health survey; Health behaviors; Health-related quality of life; Social capital; Sociodemographic factors. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/6799/2391 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:9:y:2025:i:5:p:69-82:id:6799

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().