Analysis of Factors Affecting Quality of Life of Workers in Korea Participating in Leisure Activities Using Quantile Regression

Abstract

INTRODUCTION: This study aimed to identify factors affecting the quality of life (QoL) of workers in Korea participating in leisure activities.

METHODS: Cross-sectional survey data were collected from June 10 to June 20, 2013, examining QoL, job stress, social support, serious leisure, and health-related characteristics. Data from 101 participants were analyzed using t-tests, Pearson's correlation, multiple linear regression, and quantile regression.

RESULTS: The workers’ mean QoL score was 23.10. Significant predictors of mean QoL score were job stress, social support, and serious leisure. Job stress correlated strongly with QoL in workers who were at 10% (QoL=17.00, p=.013) and 25% (QoL=20.00, p=.001) of the QoL distribution. Social support and serious leisure correlated significantly with QoL in workers who were at 50% (QoL=24.00) and 75% (QoL=27.00) of the QoL distribution.

CONCLUSION: Quantile regression analysis identified factors affecting QoL in workers. Therefore, intervention strategies for increasing workers’ QoL should be tailored to workers’ QoL level.