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Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults

Author

Listed:
  • Myeounggon Lee

    (Center for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, TX 77004, USA
    Both authors contributed equally to this manuscript.)

  • Yoonjae Noh

    (Department of Management Information Systems, Dong-A University, Busan 49236, Korea
    Both authors contributed equally to this manuscript.)

  • Changhong Youm

    (Department of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea)

  • Sangjin Kim

    (Department of Management Information Systems, Dong-A University, Busan 49236, Korea)

  • Hwayoung Park

    (Department of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea)

  • Byungjoo Noh

    (Department of Kinesiology, Jeju National University, Jeju 63243, Korea)

  • Bohyun Kim

    (Department of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea)

  • Hyejin Choi

    (Department of Health Sciences, The Graduate School of Dong-A University, Busan 49315, Korea)

  • Hyemin Yoon

    (Department of Management Information Systems, Dong-A University, Busan 49236, Korea)

Abstract

The elderly population in South Korea accounted for 15.5% of the total population in 2019. Thus, it is important to study the various elements governing the process of healthy aging. Therefore, this study investigated multiple prediction models to determine the health-related quality of life (HRQoL) in elderly adults based on the demographics, questionnaires, gait ability, and physical fitness. We performed eight physical fitness tests on 775 participants wearing shoe-type inertial measurement units and completing walking tasks at slower, preferred, and faster speeds. The HRQoL for physical and mental components was evaluated using a 36-item, short-form health survey. The prediction models based on multiple linear regression with feature importance were analyzed considering the best physical and mental components. We used 11 variables and 5 variables to form the best subset of features underlying the physical and mental components, respectively. We laid particular emphasis on evaluating the functional endurance, muscle strength, stress level, and falling risk. Furthermore, stress, insomnia severity, number of diseases, lower body strength, and fear of falling were taken into consideration in addition to mental-health-related variables. Thus, the study findings provide reliable and objective results to improve the understanding of HRQoL in elderly adults.

Suggested Citation

  • Myeounggon Lee & Yoonjae Noh & Changhong Youm & Sangjin Kim & Hwayoung Park & Byungjoo Noh & Bohyun Kim & Hyejin Choi & Hyemin Yoon, 2021. "Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11816-:d:676805
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    References listed on IDEAS

    as
    1. Taesang Lee & Myeounggon Lee & Changhong Youm & Byungjoo Noh & Hwayoung Park, 2020. "Association between Gait Variability and Gait-Ability Decline in Elderly Women with Subthreshold Insomnia Stage," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    2. Byungjoo Noh & Changhong Youm & Myeounggon Lee & Hwayoung Park, 2020. "Associating Gait Phase and Physical Fitness with Global Cognitive Function in the Aged," IJERPH, MDPI, vol. 17(13), pages 1-11, July.
    3. Oztekin, Asil & Al-Ebbini, Lina & Sevkli, Zulal & Delen, Dursun, 2018. "A decision analytic approach to predicting quality of life for lung transplant recipients: A hybrid genetic algorithms-based methodology," European Journal of Operational Research, Elsevier, vol. 266(2), pages 639-651.
    4. Arfken, C.L. & Lach, H.W. & Birge, S.J. & Miller, J.P., 1994. "The prevalence and correlates of fear of falling in elderly persons living in the community," American Journal of Public Health, American Public Health Association, vol. 84(4), pages 565-570.
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