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Associating Gait Phase and Physical Fitness with Global Cognitive Function in the Aged

Author

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  • Byungjoo Noh

    (Department of Health Care and Science, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, Korea)

  • Changhong Youm

    (Department of Health Care and Science, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, Korea
    Biomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, Korea)

  • Myeounggon Lee

    (Biomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, Korea)

  • Hwayoung Park

    (Biomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, Korea)

Abstract

This study aimed to identify classifier variables by considering both gait and physical fitness for identifying adults aged over 75 years and global cognitive function declines in older adults. The participants included 735 adults aged 65–89 years who were asked to walk at three different speeds (slower, preferred, and faster) while wearing inertial measurement units embedded in shoe-type data loggers and to perform nine physical fitness tests. The variability in the stance phase as well as the strength, balance, and functional endurance showed a strong dependence on the age being over 75 years. The cognitive function was evaluated by the Mini-Mental State Examination; a longer stance phase at a slower walking speed and decreased grip strength and five times sit-to-stand were associated with cognitive function. These findings may be useful for determining the decline in physical performance of older adults. A longer stance phase and decreased grip strength and five times sit-to-stand may be factors that help distinguish declines in cognitive function from normal age-related declines.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4786-:d:379847
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    References listed on IDEAS

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    1. Rachel Cooper & Rebecca Hardy & Avan Aihie Sayer & Yoav Ben-Shlomo & Kate Birnie & Cyrus Cooper & Leone Craig & Ian J Deary & Panayotes Demakakos & John Gallacher & Geraldine McNeill & Richard M Marti, 2011. "Age and Gender Differences in Physical Capability Levels from Mid-Life Onwards: The Harmonisation and Meta-Analysis of Data from Eight UK Cohort Studies," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-14, November.
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    Cited by:

    1. Bohyun Kim & Changhong Youm & Hwayoung Park & Myeounggon Lee & Hyejin Choi, 2022. "Association of Muscle Mass, Muscle Strength, and Muscle Function with Gait Ability Assessed Using Inertial Measurement Unit Sensors in Older Women," IJERPH, MDPI, vol. 19(16), pages 1-11, August.
    2. Bohyun Kim & Changhong Youm & Hwayoung Park & Myeounggon Lee & Byungjoo Noh, 2021. "Characteristics of Gait Variability in the Elderly While Walking on a Treadmill with Gait Speed Variation," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
    3. 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.
    4. Byungjoo Noh & Hyemin Yoon & Changhong Youm & Sangjin Kim & Myeounggon Lee & Hwayoung Park & Bohyun Kim & Hyejin Choi & Yoonjae Noh, 2021. "Prediction of Decline in Global Cognitive Function Using Machine Learning with Feature Ranking of Gait and Physical Fitness Outcomes in Older Adults," IJERPH, MDPI, vol. 18(21), pages 1-16, October.

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