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A Study on the Relevance to the Health-Related Quality of Life in South Korean People: Focusing on the Data from the Fifth Korea National Health and Nutrition Examination Survey
Int J Clin Prev Dent 2020;16(1):28-34
Published online March 31, 2020;  https://doi.org/10.15236/ijcpd.2020.16.1.28
© 2020 International Journal of Clinical Preventive Dentistry.

Eun Hee Kim1, Jong Ae Chun1, Seon Jeong Moon1, Kyung Hwan Ka2, Hyo Jeong Park3

1Department of Dental Hygiene, 2Department of Aviation Security Protection Science, Kyungwoon University, Gumi, 3Department of Dental Hygiene, Yeungnam University College, Daegu, Korea
Correspondence to: Jong Ae Chun
E-mail: belllove01@gmail.com
https://orcid.org/0000-0002-5656-5807
Received March 8, 2020; Revised March 31, 2020; Accepted March 31, 2020.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objective: This study aimed to compare the awareness of the quality of life by the socio-demographic characteristics and present basic data that could help inform the importance of health and promote concerns about and practice of leading a healthy life.
Methods: The data from 4,778 respondents to EQ-5D (EuroQol-5Dimention) in the fifth Korea National Health and Nutrition Examination Survey, which met the purpose of this study, were compared and analyzed for the differences in five areas of EQ-5D for the quality of life—mobility, self-care, usual activity, pain/discomfort, and anxiety/depression—by the socio-demographic characteristics.
Results: Mobility differed statistically significantly by gender, marital status, age, and average monthly income; self-care differed statistically significantly by marital status, age, and average monthly income. Usual activity and pain/discomfort differed statistically significantly by gender, marital status, age, and average monthly income; anxiety/depression differed statistically significantly by marital status, age, and average monthly income.
Conclusion: It is necessary to identify and characterize the common factors significantly affecting the quality of life and develop theoretical and policy-based plans for a higher level of health with the aim of narrowing the gap in health cognition.
Keywords : EQ-5D, quality of life, mobility, self-care, pain
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