IDEAS home Printed from https://ideas.repec.org/a/ibn/gjhsjl/v9y2017i7p150.html

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

Author

Listed:
  • Suhee Kim
  • Junghee Kim

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.

Suggested Citation

  • Suhee Kim & Junghee Kim, 2017. "Analysis of Factors Affecting Quality of Life of Workers in Korea Participating in Leisure Activities Using Quantile Regression," Global Journal of Health Science, Canadian Center of Science and Education, vol. 9(7), pages 150-150, July.
  • Handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:7:p:150
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/download/66745/36843
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/gjhs/article/view/66745
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sonja Drobnič & Barbara Beham & Patrick Präg, 2010. "Good Job, Good Life? Working Conditions and Quality of Life in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 205-225, November.
    2. Giulia Cavrini, 2010. "A quantile regression approach for modelling a health-related quality of life measure," Statistica, Department of Statistics, University of Bologna, vol. 70(3), pages 273-291.
    3. Martin Binder & Alex Coad, 2010. "Going Beyond Average Joe's Happiness: Using Quantile Regressions to Analyze the Full Subjective Well-Being Distribution," Papers on Economics and Evolution 2010-10, Philipps University Marburg, Department of Geography.
    4. Mithat Durak & Emre Senol-Durak & Tulin Gencoz, 2010. "Psychometric Properties of the Satisfaction with Life Scale among Turkish University Students, Correctional Officers, and Elderly Adults," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(3), pages 413-429, December.
    5. Stephen A Stansfeld & Martin J Shipley & Jenny Head & Rebecca Fuhrer & Mika Kivimaki, 2013. "Work Characteristics and Personal Social Support as Determinants of Subjective Well-Being," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-8, November.
    6. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Serdar Karabati & Nurcan Ensari & Dary Fiorentino, 2019. "Job Satisfaction, Rumination, and Subjective Well-Being: A Moderated Mediational Model," Journal of Happiness Studies, Springer, vol. 20(1), pages 251-268, January.
    2. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    3. Tabuga, Aubrey D., 2007. "International Remittances and Household Expenditures: the Philippine Case," Discussion Papers DP 2007-18, Philippine Institute for Development Studies.
    4. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    5. Alfred Michael Dockery & Sherry Bawa, 2015. "The Impact of Children on Australian Couples’ Wealth Accumulation," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 139-150, June.
    6. Simplice Asongu & Nicholas M. Odhiambo, 2024. "The role of foreign aid in the nexus between capital flight and unemployment in sub-Saharan Africa," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 52(1), pages 1-15, April.
    7. Héctor Manuel Zárate S., 2005. "Cambios en la estructura salarial: una historia desde la regresión cuanfílica," Monetaria, CEMLA, vol. 0(4), pages 339-364, octubre-d.
    8. Efobi, Uchenna & Asongu, Simplice & Okafor, Chinelo & Tchamyou, Vanessa & Tanankem, Belmondo, 2016. "Diaspora Remittance Inflow, Financial Development and the Industrialisation of Africa," MPRA Paper 76121, University Library of Munich, Germany.
    9. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    10. Leon Zolotoy & Don O’Sullivan & Keke Song, 2021. "The Role of Ethical Standards in the Relationship Between Religious Social Norms and M&A Announcement Returns," Journal of Business Ethics, Springer, vol. 170(4), pages 721-742, May.
    11. Chao, Shih-Kang & Härdle, Wolfgang K. & Yuan, Ming, 2021. "Factorisable Multitask Quantile Regression," Econometric Theory, Cambridge University Press, vol. 37(4), pages 794-816, August.
    12. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    13. Rodney Fort & Young Hoon Lee & Taeyeon Oh, 2019. "Quantile Insights on Market Structure and Worker Salaries: The Case of Major League Baseball," Journal of Sports Economics, , vol. 20(8), pages 1066-1087, December.
    14. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    15. repec:rre:publsh:v:39:y:2009:i:2:p:149-69 is not listed on IDEAS
    16. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    17. Juan Mora & Antonia Febrer, 2005. "Wage Distribution In Spain, 1994-1999: An Application Of A Flexible Estimator Of Conditional Distributions," Working Papers. Serie EC 2005-04, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    18. Xiaoying Liu & Jere R. Behrman & Emily Hannum & Fan Wang & Qingguo Zhao, 2022. "Same environment, stratified impacts? Air pollution, extreme temperatures, and birth weight in south China," Papers 2204.00219, arXiv.org.
    19. Inklaar, Robert & Jong-A-Pin, Richard & de Haan, Jakob, 2008. "Trade and business cycle synchronization in OECD countries--A re-examination," European Economic Review, Elsevier, vol. 52(4), pages 646-666, May.
    20. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    21. Simplice Asongu & Nicholas M. Odhiambo, 2023. "Health performance and economic growth in sub-Saharan Africa: new evidence based on quantile regressions," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 50(12), pages 1655-1671, May.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:gjhsjl:v:9:y:2017:i:7:p:150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.