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Indian Journal of Public Health Research & Development
Year : 2018, Volume : 9, Issue : 9
First page : ( 1005) Last page : ( 1010)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2018.01132.4

Comparative analysis of quality of life of koreans using the korean Health-Related quality of life scale (KQOLS) and korean version of the short form 36 health survey (SF-36)

Kim Yong-Ju1, Kim Jeong-Yeon2,*

1Dept. of Nursing Science, Daejeon Health Institute of Technology, 21 Chungjeong St., Dong-gu, Daejeon, Korea, 34504

2Dept. of Medical Administration & Informationt, Daejeon Health Institute of Technology, 21 Chungjeong St., Dong-gu, Daejeon, Korea, 34504

*Corresponding Author: Jeong-Yeon Kim Dept. of Medical Administration & Informationt, Daejeon Health Institute of Technology, Korea, 34504 Mobile Phone: +82-010-9545-5321 Email: jykim@hit.ac.kr

Online published on 16 October, 2018.

Abstract

Background/Objectives

The Purpose of the study was to compare the differences in quality of life by gender in undergraduate students by conducting a quality of life assessment survey using KQOLS(the Korean health related Quality of Life Scale).

Method/Statistical Analysis

This study uses descriptive survey research. The participants included currently enrolled third-year undergraduate students attending D university. 194 questionnaires were used for the final analysis and data was collected from June 5 to 19, 2017. Data were analyzed with with t-test, one-way ANOV, Pearson's correlation coefficient and regression by using IBM SPSS Statistics 22.0.

Findings

As a result of comparing the quality of life score depending on characteristics of research subjects, it was observed that KQOLS showed a statistically significant difference depending on gender and educational background, while SF-36 showed gender and whether had a disease or not. The SF-36 showed significantly higher values in “physical functioning”, “bodily pain”, “vitality”, “mental health “ and “role” while the KQOLS showed significantly higher scores for “general health”. Gender, education and health promoting behavior were revealed predictors influencing KQOLS and it was observed that those predictors explained KQOLS by 8.4%. In addition, in the case of SF-36, only gender explained quality of life by 5.2%.

Improvements/Applications

It identified what should be considered in selecting the instrument and interpreting the quality of life scores in future research measuring the health-related quality of life of Koreans.

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Keywords

Quality of Life, KQOLS, SF-36, Scale, Korean.

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