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

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)...

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Autores principales: Lee, Myeounggon, Noh, Yoonjae, Youm, Changhong, Kim, Sangjin, Park, Hwayoung, Noh, Byungjoo, Kim, Bohyun, Choi, Hyejin, Yoon, Hyemin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624167/
https://www.ncbi.nlm.nih.gov/pubmed/34831575
http://dx.doi.org/10.3390/ijerph182211816
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author Lee, Myeounggon
Noh, Yoonjae
Youm, Changhong
Kim, Sangjin
Park, Hwayoung
Noh, Byungjoo
Kim, Bohyun
Choi, Hyejin
Yoon, Hyemin
author_facet Lee, Myeounggon
Noh, Yoonjae
Youm, Changhong
Kim, Sangjin
Park, Hwayoung
Noh, Byungjoo
Kim, Bohyun
Choi, Hyejin
Yoon, Hyemin
author_sort Lee, Myeounggon
collection PubMed
description 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.
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spelling pubmed-86241672021-11-27 Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults Lee, Myeounggon Noh, Yoonjae Youm, Changhong Kim, Sangjin Park, Hwayoung Noh, Byungjoo Kim, Bohyun Choi, Hyejin Yoon, Hyemin Int J Environ Res Public Health Article 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. MDPI 2021-11-11 /pmc/articles/PMC8624167/ /pubmed/34831575 http://dx.doi.org/10.3390/ijerph182211816 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Myeounggon
Noh, Yoonjae
Youm, Changhong
Kim, Sangjin
Park, Hwayoung
Noh, Byungjoo
Kim, Bohyun
Choi, Hyejin
Yoon, Hyemin
Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title_full Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title_fullStr Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title_full_unstemmed Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title_short Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
title_sort estimating health-related quality of life based on demographic characteristics, questionnaires, gait ability, and physical fitness in korean elderly adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624167/
https://www.ncbi.nlm.nih.gov/pubmed/34831575
http://dx.doi.org/10.3390/ijerph182211816
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