Prevalence and factors associated with frailty among elderly in central Rajasthan: A cross-sectional study

Background: Frailty increases the risk of disability, falls, cognitive decline, hospitalisation, dependency, and mortality in older adults. The study aimed to find out the prevalence and associated factors of frailty among the elderly using Field's physical constructs of frailty. Methods: It wa...

Full description

Saved in:
Bibliographic Details
Main Authors: Gaurav Meratwal (Author), Ruchita Banseria (Author), Mahendra Khanna (Author), Ashok Kumar (Author)
Format: Book
Published: Elsevier, 2023-03-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_f07448717e7144c5b54c8e3b9e71519c
042 |a dc 
100 1 0 |a Gaurav Meratwal  |e author 
700 1 0 |a Ruchita Banseria  |e author 
700 1 0 |a Mahendra Khanna  |e author 
700 1 0 |a Ashok Kumar  |e author 
245 0 0 |a Prevalence and factors associated with frailty among elderly in central Rajasthan: A cross-sectional study 
260 |b Elsevier,   |c 2023-03-01T00:00:00Z. 
500 |a 2213-3984 
500 |a 10.1016/j.cegh.2023.101215 
520 |a Background: Frailty increases the risk of disability, falls, cognitive decline, hospitalisation, dependency, and mortality in older adults. The study aimed to find out the prevalence and associated factors of frailty among the elderly using Field's physical constructs of frailty. Methods: It was a hospital-based cross-sectional study, conducted in a tertiary care hospital in central Rajasthan, from May 2022 to October 2022. Data were collected from 288 participants. Categorical data were presented as proportion, and continuous data were presented as mean (SD). The Chi-square test and multivariate logistic regression were used to find out the association between frailty and other variables. Results: About one-third (32.3%) of participants were frail, 32.3% were pre-frail, and 35.4% were robust. In multivariate analysis, frailty was found more in the participants who were not in union than those who were in union (aOR = 3.62, p = 0.001). It was more in sedentary persons (aOR = 13.54, p < 0.01) and persons with some physical activity (aOR = 4.39, p = 0.003) than the persons with strenuous physical activity levels. The prevalence of frailty was also associated with morbidity (aOR = 5.84, p < 0.01); and with a history of falls (aOR = 2.67, p = 0.003). Conclusion: Nearly one third elderly population is frail and one third is prefrail. The growing older population and the corresponding increase in the prevalence of frailty would have a significant negative impact on the already overburdened health services. Community-based interventions should be developed and incorporated to avert and mitigate the effects of frailty. 
546 |a EN 
690 |a Older 
690 |a Fall 
690 |a Prefrailty 
690 |a Ageing 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Clinical Epidemiology and Global Health, Vol 20, Iss , Pp 101215- (2023) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2213398423000027 
787 0 |n https://doaj.org/toc/2213-3984 
856 4 1 |u https://doaj.org/article/f07448717e7144c5b54c8e3b9e71519c  |z Connect to this object online.