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Physical Frailty among Urban-Living Community-Dwelling Older Adults in Malaysia

Bibliographic Data

ID15510245
AuthorsCamilla Wahida Norazman (0000-0002-2383-5743, Universiti Putra Malaysia), Siti Nur’Asyura Adznam (0000-0002-1213-2997, Universiti Putra Malaysia, corresponding author), Rosita Jamaluddin (0000-0003-1229-0845, Universiti Putra Malaysia)
Year2020
Volume17
Issue18
Pages6549-6549
Publication date2020-09-09
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17186549
PMID32916809
OpenAlexW3084314438
LanguageEN
Citations received4
References cited49

Frailty is a multidimensional syndrome, which is a worldwide concern within the field of geriatrics due to the aggravating effect on the physical and mental functions of the elderly. This study aimed to determine the prevalence and risk factors of the frailty syndrome among urban-living community-dwelling elderly in Malaysia. A cross-sectional study was conducted among 301 community-dwelling elders. Frailty status was assessed using the Fried phenotype criteria. Depressive symptoms were assessed using the Geriatric Depression Scale (M-GDS-14), whereas the functional abilities and cognitive status were measured using the Lawton Instrumental Activities of Daily Living (Lawton IADL) scale and the Mini-Mental State Examination (MMSE-M), respectively. Malnutrition risk was observed through the abridged version (Short Form) of the Mini Nutritional Assessment (MNA-SF). Multinomial logistic regression analysis was employed to determine the significant predictors of the frailty syndrome. Three hundred and one elderly persons engaged in this study, with a mean age of 67.08 ± 5.536 ranging between 60 to 84 years old. The prevalence values of frailty and pre-frail were 15.9% and 72.8%, respectively, in which women appeared to be at a higher risk of frailty. The multivariate model revealed that frailty could be predicted from an increase in age, lower household income, being at risk of malnutrition, wasting (low skeletal muscle mass), and high serum C-reactive protein (CRP) level. A holistic approach is suggested for managing the frailty syndrome as it involves a decline in the multiple components of the geriatric syndrome

Activities of daily living · Cognition · Cognitive impairment · Depression (economics · Depressive symptoms · Frailty Index · Frailty syndrome · Geriatric Depression Scale · Geriatrics · Logistic regression · Malnutrition · Mini–Mental State Examination · Multinomial logistic regression · Multivariate analysis · Physical therapy · Polypharmacy · Psychiatry · Wasting · Frailty in Older Adults · Health Systems, Economic Evaluations, Quality of Life · Medicine · Nutrition and Health in Aging · Gerontology · Internal Medicine

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    Linda P Fried, Catherine M Tangen et al.•The Journals of Gerontology…•2001

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Citations per year1
Citation span2022 - 2026 (5)
Highly citedNo

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