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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
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    References listed on IDEAS

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    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.
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