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:	Myeounggon Lee, Yoonjae Noh, Changhong Youm, Sangjin Kim, Hwayoung Park, Byungjoo Noh, Bohyun Kim, Hyejin Choi, Hyemin Yoon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	health-related quality of life physical and mental components elderly adults machine learning prediction model Medicine R
Acceso en línea:	https://doaj.org/article/d983f50caea1460e8725b10270dfba4a
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spelling	oai:doaj.org-article:d983f50caea1460e8725b10270dfba4a2021-11-25T17:48:40ZEstimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults10.3390/ijerph1822118161660-46011661-7827https://doaj.org/article/d983f50caea1460e8725b10270dfba4a2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11816https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601The 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.Myeounggon LeeYoonjae NohChanghong YoumSangjin KimHwayoung ParkByungjoo NohBohyun KimHyejin ChoiHyemin YoonMDPI AGarticlehealth-related quality of lifephysical and mental componentselderly adultsmachine learningprediction modelMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11816, p 11816 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	health-related quality of life physical and mental components elderly adults machine learning prediction model Medicine R
spellingShingle	health-related quality of life physical and mental components elderly adults machine learning prediction model Medicine R Myeounggon Lee Yoonjae Noh Changhong Youm Sangjin Kim Hwayoung Park Byungjoo Noh Bohyun Kim Hyejin Choi Hyemin Yoon Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
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.
format	article
author	Myeounggon Lee Yoonjae Noh Changhong Youm Sangjin Kim Hwayoung Park Byungjoo Noh Bohyun Kim Hyejin Choi Hyemin Yoon
author_facet	Myeounggon Lee Yoonjae Noh Changhong Youm Sangjin Kim Hwayoung Park Byungjoo Noh Bohyun Kim Hyejin Choi Hyemin Yoon
author_sort	Myeounggon Lee
title	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_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_sort	estimating health-related quality of life based on demographic characteristics, questionnaires, gait ability, and physical fitness in korean elderly adults
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d983f50caea1460e8725b10270dfba4a
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Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults

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