IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p888-d314794.html
   My bibliography  Save this article

Factors Influencing the Quality of Life of Korean Elderly Women by Economic Status

Author

Listed:
  • Myoungjin Kwon

    (Department of Nursing, Daejeon University, Daejeon 34520, Korea)

  • Sun Ae Kim

    (Department of Nursing, Korea National University of Transportation, Chungbuk 27909, Korea
    The (corresponding two authors (Sun Ae Kim and Wi-Young So) contributed equally to this work.)

  • Wi-Young So.

    (Sports and Health Care Major, College of Humanities and Arts, Korea National University of Transportation, Chungju-si 27469, Korea
    The (corresponding two authors (Sun Ae Kim and Wi-Young So) contributed equally to this work.)

Abstract

Purpose: This study aimed to determine whether there are differences in the factors affecting the quality of life (QOL) of elderly women in South Korea according to their perceived economic status. Methods: Data were extracted from the Seventh Korea National Health and Nutrition Examination Survey conducted in 2016. The participants were 879 women over the age of 65 years, who were divided into three groups: high, medium, and low based on their perceived economic status. The study variables were classified into three categories: general characteristics, physical factors, and psychological factors. General characteristics included age, education level, employment, activity restriction, frequency of breakfast/week, frequency of lunch/week, and frequency of dinner/week. Physical factors included disease status, weight change, consumption of alcohol, number of days of walking per week, duration of walking at a time, body mass index (BMI), and discomfort due to changes in hearing. Psychological factors included stress, subjective body awareness, subjective health status, depressive symptoms, and QOL. Complex sample crosstabs and chi-square tests were conducted, and regression was performed to examine the association between the variables by economic status. Results: The factors that influenced the QOL of elderly women with low economic status were arthritis, alcohol consumption, subjective health status, and depressive symptoms, with an explanatory power of 54.3% (F = 14.94, p < 0.001). The factors that influenced the QOL of the medium economic status group were activity restriction, frequency of dinner/week, arthritis, number of days of walking per week, BMI, stress, subjective health status, and depressive symptoms, with an explanatory power of 48.6% (F = 9.82, p < 0.001). For the high economic status group, influential factors were age, restricted activity, arthritis, number of days of walking per week, stress, and depressive symptoms with an explanatory power of 49.0% (F = 69.76, p < 0.001). Conclusions: This study identified different factors that contributed to the QOL of elderly women by economic status.

Suggested Citation

  • Myoungjin Kwon & Sun Ae Kim & Wi-Young So., 2020. "Factors Influencing the Quality of Life of Korean Elderly Women by Economic Status," IJERPH, MDPI, vol. 17(3), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:888-:d:314794
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/888/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Isabel Cairó & Tomaz Cajner, 2018. "Human Capital and Unemployment Dynamics: Why More Educated Workers Enjoy Greater Employment Stability," Economic Journal, Royal Economic Society, vol. 128(609), pages 652-682, March.
    2. Herman Oyen & Wilma Nusselder & Carol Jagger & Petra Kolip & Emmanuelle Cambois & Jean-Marie Robine, 2013. "Gender differences in healthy life years within the EU: an exploration of the “health–survival” paradox," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 143-155, February.
    3. Hyunjoon Park & Jaesung Choi, 2015. "Long-term trends in living alone among Korean adults: Age, gender, and educational differences," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(43), pages 1177-1208.
    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. Kohlbrecher, Britta & Merkl, Christian, 2022. "Business cycle asymmetries and the labor market," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Cynthia Doniger, 2019. "Do Greasy Wheels Curb Inequality?," 2019 Meeting Papers 1163, Society for Economic Dynamics.
    3. Linda Juel Ahrenfeldt & Sören Möller & Mikael Thinggaard & Kaare Christensen & Rune Lindahl-Jacobsen, 2019. "Sex Differences in Comorbidity and Frailty in Europe," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(7), pages 1025-1036, September.
    4. Nils M. Gornemann & Keith Kuester & Makoto Nakajima, 2021. "Doves for the Rich, Hawks for the Poor? Distributional Consequences of Systematic Monetary Policy," Opportunity and Inclusive Growth Institute Working Papers 50, Federal Reserve Bank of Minneapolis.
    5. Jordi Galí & Thijs van Rens, 2021. "The Vanishing Procyclicality of Labour Productivity [Why have business cycle fluctuations become less volatile?]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 302-326.
    6. Rikuya Hosokawa & Toshiyuki Ojima & Tomoya Myojin & Jun Aida & Katsunori Kondo & Naoki Kondo, 2020. "Associations between Healthcare Resources and Healthy Life Expectancy: A Descriptive Study across Secondary Medical Areas in Japan," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    7. Naval, Joaquín & Silva, José I. & Vázquez-Grenno, Javier, 2020. "Employment effects of on-the-job human capital acquisition," Labour Economics, Elsevier, vol. 67(C).
    8. Teresa Backhaus, 2022. "Training in Late Careers - A Structural Approach," CRC TR 224 Discussion Paper Series crctr224_2022_382, University of Bonn and University of Mannheim, Germany.
    9. Mavis Agyemang Opoku & Suk Bong Choi & Seung-Wan Kang, 2019. "Psychological Safety in Ghana: Empirical Analyses of Antecedents and Consequences," IJERPH, MDPI, vol. 17(1), pages 1-20, December.
    10. Amand, Marnix & Chéron, Arnaud & Pelgrin, Florian & Terriau, Anthony, 2023. "Soccer labour market equilibrium and efficient training of players," European Economic Review, Elsevier, vol. 156(C).
    11. Sam Hyun Yoo, 2016. "Postponement and recuperation in cohort marriage: The experience of South Korea," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(35), pages 1045-1078.
    12. Thomas Davoine, 2023. "Flexicurity, education and optimal labour market policies," LABOUR, CEIS, vol. 37(4), pages 592-625, December.
    13. Forsythe, Eliza & Wu, Jhih-Chian, 2021. "Explaining Demographic Heterogeneity in Cyclical Unemployment," Labour Economics, Elsevier, vol. 69(C).
    14. Hetschko, Clemens & Preuss, Malte, 2020. "Income in jeopardy: How losing employment affects the willingness to take risks," Journal of Economic Psychology, Elsevier, vol. 79(C).
    15. Dario Caldara & Etienne Gagnon & Enrique Martinez-Garcia & Christopher J. Neely, 2020. "Monetary Policy and Economic Performance since the Financial Crisis," Working Papers 2020-026, Federal Reserve Bank of St. Louis, revised 02 Nov 2020.
    16. Gaston, Noel & Yoshimi, Taiyo, 2023. "The Balassa-Samuelson model with job separations," Japan and the World Economy, Elsevier, vol. 65(C).
    17. Ying Tung Chan & Chi Man Yip, 2023. "On the ambiguity of job search," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1006-1033, October.
    18. Fujita, Shigeru, 2018. "Declining labor turnover and turbulence," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 1-19.
    19. Gyeong-Suk Jeon & Kyungwon Choi & Sung-Il Cho, 2017. "Impact of Living Alone on Depressive Symptoms in Older Korean Widows," IJERPH, MDPI, vol. 14(10), pages 1-11, October.
    20. Aurea Grané & Irene Albarrán & David E. Merchán, 2021. "Impact of Pandemic on European Well-Being: Visualizing Scenarios from the SHARE Database," IJERPH, MDPI, vol. 18(9), pages 1-26, April.

    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:888-:d:314794. 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.