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Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
- Source :
- International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health, Vol 18, Iss 11816, p 11816 (2021), Volume 18, Issue 22
- Publication Year :
- 2021
-
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.
- Subjects :
- Gerontology
Adult
Health, Toxicology and Mutagenesis
Physical fitness
Fear of falling
Article
Quality of life
elderly adults
Surveys and Questionnaires
Linear regression
Republic of Korea
medicine
Insomnia
Humans
Elderly adults
physical and mental components
Gait
Aged
business.industry
Public Health, Environmental and Occupational Health
Fear
health-related quality of life
prediction model
Cross-Sectional Studies
machine learning
Physical Fitness
Quality of Life
Medicine
Accidental Falls
medicine.symptom
business
Psychology
Predictive modelling
Subjects
Details
- ISSN :
- 16604601
- Volume :
- 18
- Issue :
- 22
- Database :
- OpenAIRE
- Journal :
- International journal of environmental research and public health
- Accession number :
- edsair.doi.dedup.....37e4baf547bfd975f1d62b3b5248c7d5