IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i13p2395-d246090.html
   My bibliography  Save this article

Is Transient and Persistent Poverty Harmful to Multimorbidity?: Model Testing Algorithms

Author

Listed:
  • Sukyong Seo

    (College of Nursing, Eulji University, Seongnam 13135, Korea)

  • Young Dae Kwon

    (Department of Humanities and Social Medicine, College of Medicine and Catholic Institute for Healthcare Management, The Catholic University of Korea, Seoul 06591, Korea)

  • Ki-Bong Yoo

    (Department of Health Administration, Department of Information & Statistics, Yonsei University, Wonju 26493, Korea)

  • Yejin Lee

    (Department of Healthcare Management, Eulji University, Seongnam 13135, Korea)

  • Jin-Won Noh

    (Department of Healthcare Management, Eulji University, Seongnam 13135, Korea
    Global Health Unit, Department of Health Sciences, University Medical Centre Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands)

Abstract

Multimorbidity, the coexistence of two or more long-term medical conditions in one person, has been known to disproportionally affect the low-income population. Little is known about whether long-term income is more crucial for multimorbidity than income measured in one time point; whether persistent poverty is more harmful than transient one; how changes in wealth affect multimorbidity. This is a longitudinal study on a population representative dataset, the Korean Health Panel (KHP) survey (2010–2015). A multivariate analysis was conducted using logistic regressions. A variety of income and wealth variables was investigated. Low-income Koreans (lowest 20%) were more likely to have multiple disorders; average income was more significantly associated with multimorbidity than the yearly income measured for the same year; persistent episodes of poverty had a greater hazard than transient ones; and income changes appeared to be statistically insignificant. We found that long-term income and persistent poverty are important factors of multimorbidity. These findings support the importance of policies reducing the risk of persistent poverty. Policies to promote public investment in education and create jobs may be appropriate to address multimorbidity.

Suggested Citation

  • Sukyong Seo & Young Dae Kwon & Ki-Bong Yoo & Yejin Lee & Jin-Won Noh, 2019. "Is Transient and Persistent Poverty Harmful to Multimorbidity?: Model Testing Algorithms," IJERPH, MDPI, vol. 16(13), pages 1-11, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2395-:d:246090
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/13/2395/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/13/2395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyun-Hoon LEE & Minsoo LEE & Donghyun PARK, 2012. "Growth Policy and Inequality in Developing Asia: Lesson from Korea," Working Papers DP-2012-12, Economic Research Institute for ASEAN and East Asia (ERIA).
    2. Benzeval, Michaela & Judge, Ken, 2001. "Income and health: the time dimension," Social Science & Medicine, Elsevier, vol. 52(9), pages 1371-1390, May.
    3. Kang-Kook Lee, 2012. "Growth And Inequality In Korea," World Scientific Book Chapters, in: Jinjun Xue (ed.), Growth with Inequality An International Comparison on Income Distribution, chapter 6, pages 121-137, World Scientific Publishing Co. Pte. Ltd..
    4. Richard Blundell & Ian Preston, 1995. "Income, expenditure and the living standards of UK households," Fiscal Studies, Institute for Fiscal Studies, vol. 16(3), pages 40-54, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sukyong Seo, 2019. "Multimorbidity Development in Working People," IJERPH, MDPI, vol. 16(23), pages 1-16, November.

    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. Seungwoo Han, 2022. "Identifying the roots of inequality of opportunity in South Korea by application of algorithmic approaches," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    2. Gyu Ri Kim & Chung Mo Nam, 2017. "Temporal trends in educational inequalities in non-communicable diseases in Korea, 2007-2015," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-15, December.
    3. Sung-Jin Kang & Robert Rudolf, 2016. "Rising Or Falling Inequality In Korea? Population Aging And Generational Trends," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-26, December.
    4. Ken Judge & Iain Paterson, 2001. "Poverty, Income Inequality and Health," Treasury Working Paper Series 01/29, New Zealand Treasury.
    5. Siti Rohima & Saadah Yuliana & Abdul Bashir & Nazirwan Hafiz, 2017. "Public Infrastructure Availability on Development Disparity," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 375-391, December.
    6. Kresse, Klaas & van der Krabben, Erwin, 2022. "Rapid urbanization, land pooling policies & the concentration of wealth," Land Use Policy, Elsevier, vol. 116(C).
    7. Marginson, Simon, 2018. "Higher education, economic inequality and social mobility: Implications for emerging East Asia," International Journal of Educational Development, Elsevier, vol. 63(C), pages 4-11.
    8. Hugh Gravelle & Matt Sutton, 2009. "Income, relative income, and self‐reported health in Britain 1979–2000," Health Economics, John Wiley & Sons, Ltd., vol. 18(2), pages 125-145, February.
    9. Koeniger, Winfried, 2001. "Labor and Financial Market Interactions: The Case of Labor Income Risk and Car Insurance in the UK 1969-95," IZA Discussion Papers 240, Institute of Labor Economics (IZA).
    10. Ilaria Natali & Mathias Dewatripont & Victor Ginsburgh & Michel Goldman & Patrick Legros, 2023. "Prescription opioids and economic hardship in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1473-1504, December.
    11. Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2023. "Side effects of labor market policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 339-375, April.
    12. Hernández-Quevedo, Cristina & Jones, Andrew M. & Rice, Nigel, 2008. "Persistence in health limitations: A European comparative analysis," Journal of Health Economics, Elsevier, vol. 27(6), pages 1472-1488, December.
    13. Maite Blázquez Cuesta & Elena Cottini & Herrarte, A. (Ainhoa), 2012. "GINI DP 39: Socioeconomic Gradient in Health: How Important is Material Deprivation?," GINI Discussion Papers 39, AIAS, Amsterdam Institute for Advanced Labour Studies.
    14. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
    15. Buckley, Neil J. & Denton, Frank T. & Leslie Robb, A. & Spencer, Byron G., 2004. "The transition from good to poor health: an econometric study of the older population," Journal of Health Economics, Elsevier, vol. 23(5), pages 1013-1034, September.
    16. Cuesta, Maite Blázquez & Budría, Santiago, 2015. "Income deprivation and mental well-being: The role of non-cognitive skills," Economics & Human Biology, Elsevier, vol. 17(C), pages 16-28.
    17. Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
    18. Lindeboom, Maarten & Portrait, France & van den Berg, Gerard J., 2001. "An Econometric Analysis of the Mental-Health Effects of Major Events in the Life of Elderly Individuals," IZA Discussion Papers 398, Institute of Labor Economics (IZA).
    19. Richard Blundell & Hamish Low & Ian Preston, 2013. "Decomposing changes in income risk using consumption data," Quantitative Economics, Econometric Society, vol. 4(1), pages 1-37, March.
    20. Thomas F. Crossley & Krishna Pendakur, 2002. "Consumption Inequality," Department of Economics Working Papers 2002-09, McMaster University.

    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:gam:jijerp:v:16:y:2019:i:13:p:2395-:d:246090. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.