IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p1106-d318579.html
   My bibliography  Save this article

The Association Between the Changes in General, Family, and Financial Aspects of Quality of Life and Their Effects on Cognitive Function in an Elderly Population: The Korean Longitudinal Study of Aging, 2008–2016

Author

Listed:
  • Wonjeong Chae

    (Department of Public Health, College of Medicine, Yonsei University, Seoul 03722, Korea
    Institute of Health Services Research, Yonsei University, Seoul 03722, Korea)

  • Eun-Cheol Park

    (Institute of Health Services Research, Yonsei University, Seoul 03722, Korea
    Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea)

  • Sung-In Jang

    (Institute of Health Services Research, Yonsei University, Seoul 03722, Korea
    Department of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea)

Abstract

Background The growing aging population is a global phenomenon and a major public health challenge. Among Organization for Economic Co-operation and Development countries, Korea is the fastest aging country. We aimed to investigate the relationship between changes in quality of life (QOL) and cognitive function in older adults. Method: Data from the Korean Longitudinal Study of Aging collected from 2008 to 2016 were used. In 3453 participants (men: 1943; women: 1541), QOL was measured by three aspects: general, financial, and familial. Changes in QOL status were assessed by four categories: remained poor, worsened, improved, and remained good. The level of cognitive function was measured by the Mini-Mental State Examination score (MMSE, normal range cut-off value: 24 or above). For the statistical analysis, the generalized equation model (GEE) was performed. Results: For all three aspects of QOL measured, participants whose QOL score remained poor were associated with cognitive decline that their odds ratios (OR) were statistically significant (general: OR = 1.33; familial: OR = 1.39; financial: OR = 1.40). For subgroup analysis by gender, the highest OR in men was the financial aspect of QOL (OR = 1.45); in women, the highest OR was the familial aspect of QOL (OR = 1.75). Conclusion: This study showed an association between QOL and cognitive function in a Korean elderly population. Our findings suggest that QOL measurements with a gender-specific approach can be used as a tool to detect cognitive changes in older adults and help prevent or delay cognitive decline.

Suggested Citation

  • Wonjeong Chae & Eun-Cheol Park & Sung-In Jang, 2020. "The Association Between the Changes in General, Family, and Financial Aspects of Quality of Life and Their Effects on Cognitive Function in an Elderly Population: The Korean Longitudinal Study of Agin," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:1106-:d:318579
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/1106/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/1106/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David M. Cutler & James M. Poterba & Louise M. Sheiner & Lawrence H. Summers, 1990. "An Aging Society: Opportunity or Challenge?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(1), pages 1-74.
    2. repec:fth:harver:1490 is not listed on IDEAS
    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. Patricia Apps & Ray Rees, 2007. "Population Ageing, Taxation, pensions and Health Costs," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 10(2), pages 79-97.
    2. Jacques Le Cacheux & Vincent Touzé, 2002. "Les modèles d'équilibre général calculable à générations imbriquées. Enjeux, méthodes et résultats," Revue de l'OFCE, Presses de Sciences-Po, vol. 80(1), pages 87-113.
    3. Peter S. Yoo, 1994. "The baby boom and international capital flows," Working Papers 1994-031, Federal Reserve Bank of St. Louis.
    4. Axel Börsch‐Supan & Alexander Ludwig & Joachim Winter, 2006. "Ageing, Pension Reform and Capital Flows: A Multi‐Country Simulation Model," Economica, London School of Economics and Political Science, vol. 73(292), pages 625-658, November.
    5. Adema, Y. & Meijdam, A.C. & Verbon, H.A.A., 2006. "Beggar Thy Thrifty Neighbour : The International Spillover Effects of Pensions Under Population Ageing," Other publications TiSEM efe74edb-cddd-4a64-8889-9, Tilburg University, School of Economics and Management.
    6. de la Croix, David & Docquier, Frederic & Liegeois, Philippe, 2007. "Income growth in the 21st century: Forecasts with an overlapping generations model," International Journal of Forecasting, Elsevier, vol. 23(4), pages 621-635.
    7. Ross Guest & Ian Mcdonald, 2003. "Vintage versus homogeneous capital in simulations of population ageing: does it matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(3), pages 149-153.
    8. Dekle, Robert, 2004. "Financing consumption in an aging Japan: The role of foreign capital inflows and immigration," Journal of the Japanese and International Economies, Elsevier, vol. 18(4), pages 506-527, December.
    9. Lex Meijdam & Harrie Verbon, 1996. "Aging and political decision making on public pensions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 9(2), pages 141-158, June.
    10. Laurence J. Kotlikoff & Willi Leibfritz & Willi Leibfritz, 1999. "An International Comparison of Generational Accounts," NBER Chapters, in: Generational Accounting around the World, pages 73-102, National Bureau of Economic Research, Inc.
    11. Yingzhu Yang & Rong Zheng & Lexiang Zhao, 2021. "Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    12. Shinichi Nishiyama, 2004. "Analyzing an Aging Population--A Dynamic General Equilibrium Approach: Technical Paper 2004-03," Working Papers 15191, Congressional Budget Office.
    13. Mikkel Christoffer Barslund & Marten von Werder, 2016. "Measuring dependency ratios using National Transfer Accounts," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 155-186.
    14. Frank T. Denton & Byron G. Spencer, 1998. "Economic Costs of Population Aging," Quantitative Studies in Economics and Population Research Reports 339, McMaster University.
    15. M. Baldini & C. Mazzaferro, 2000. "Transizione demografica e formazione del risparmio delle famiglie italiane," Working Papers 366, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. David De La Croix & Géraldine Mahieu & Alexandra Rillaers, 2004. "How Should the Allocation of Resources Adjust to the Baby Bust?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(4), pages 607-636, October.
    17. Alwyn Young, 2007. "In sorrow to bring forth children: fertility amidst the plague of HIV," Journal of Economic Growth, Springer, vol. 12(4), pages 283-327, December.
    18. Meijdam, Lex & Verbon, Harrie A A, 1997. "Aging and Public Pensions in an Overlapping-Generations Model," Oxford Economic Papers, Oxford University Press, vol. 49(1), pages 29-42, January.
    19. Izmirlioglu, Yusuf, 2008. "The Impact of Population Ageing on Technological Progress and TFP Growth, with Application to United States: 1950-2050," MPRA Paper 24687, University Library of Munich, Germany.
    20. Lee, R., 2016. "Macroeconomics, Aging, and Growth," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 59-118, Elsevier.

    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:17:y:2020:i:3:p:1106-:d:318579. 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.