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Prevention and Management of Frailty
Haewon Byeon (editor) and Jaewon Nah (editor)
2022
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It is important to prevent and manage the frailty of the elderly because their muscle strength and physical activity decrease in old age, making them prone to falling, depression, and social isolation. In the end, they need to be admitted to a hospital or a nursing home. When successful aging fails and motor ability declines due to illness, malnutrition, or reduced activity, frailty eventually occurs. Once frailty occurs, people with frailty do not have the power to exercise or the power to move. The functions of the heart and muscles are deteriorated more rapidly when they are not used. Consequently, frailty goes through a vicious cycle. As one’s physical fitness is deteriorated, the person has less power to exercise, poorer cognitive functions, and inferior nutrition intake. Consequently, the whole body of the person deteriorates. Therefore, in addition to observational studies to identify risk factors for preventing aging, various intervention studies have been conducted to develop exercise programs and apply them to communities, hospitals, and nursing homes for helping the elderly maintain healthy lives. Until now, most aging studies have focused on physical frailty. However, social frailty and cognitive frailty affect senile health negatively just as much as physical frailty. Nevertheless, little is known about social frailty and cognitive frailty. This special issue includes original experimental studies, reviews, systematic reviews, and meta-analysis studies on the prevention of senescence (physical senescence, cognitive senescence, social senescence), high-risk group detection, differentiation, and intervention.
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Keywords
- accidental falls
- Aged
- Aging
- artificial intelligence
- Baduanjin
- BDI
- Brain stimulation
- clinical dementia rating
- Cognitive function
- color-changing chewing gum
- community-based
- community-dwelling older adults
- convergence rate
- cross-sectional study
- Data mining
- Dementia
- depressive symptoms
- determinants
- driving cessation
- elderly patients
- endurance training
- Exercise
- explainable artificial intelligence
- Fall
- fall assessment sheet
- frail
- FRAIL scale
- Frailty
- frailty profiles
- frailty syndrome
- gait analysis
- gait speed
- Healthcare
- hospitalization
- indicators
- instrumental activities of daily living
- latent class analysis
- Machine learning
- meaningful activities
- medicine
- Medicine: General Issues
- Meta-analysis
- middle-aged and older adults
- Mild Cognitive Impairment
- mixing ability
- mood
- motoric cognitive risk syndrome
- multiple risk factors
- Muscle strength
- naming
- neuropsychiatric symptoms
- neuropsychological test
- Neuropsychological Tests
- non-robust
- Nursing Homes
- older adults
- Pain
- Parkinson’s disease dementia
- Parkinson’s disease with mild cognitive impairment
- perceived health
- physical fitness
- physical frailty
- physical functional performance
- Physiotherapy
- Prevalence
- primary progressive aphasia
- psychometric properties
- psychosomatic functions
- Public health & preventive medicine
- qualitative evaluation
- Quality of life
- random forest
- Risk factors
- Risk management
- screening
- screening tool
- Self-Rating Anxiety Scale
- sleep quality
- Social isolation
- Social networks
- Social participation
- Social Support
- spousal concordance
- stacking ensemble
- STAI
- strength training
- SUNFRAIL
- SWLS
- three-item recall
- Tilburg Frailty Indicator
Links
DOI: 10.3390/books978-3-0365-5372-6Editions