Frailty transition and depression among community-dwelling older adults: the Korean Longitudinal Study of Aging (2006–2020)

Author:

Nerobkova Nataliya,Park Yu Shin,Park Eun-Cheol,Shin Jaeyong

Abstract

Abstract Background Frailty is recognized as a geriatric syndrome associated with depression. The consequences and mechanism of frailty transitions are still understudied. This study assessed the influence of frailty transitions on new-onset depressive symptomology using longitudinal, nationwide data of Korean community-dwelling older adults. Methods Longitudinal population-based study conducted in every even-numbered year starting from 2006 to 2020 (eight waves) with a sample of older adults aged ≥ 60 years old. After the application of exclusion criteria, a total of 2,256 participants were included in the 2008 baseline year. Frailty transition was determined through the biennial assessment of change in frailty status using the frailty instrument (FI); depression was measured using the Center for Epidemiological Studies Depression 10 Scale. We employed the lagged general estimating equations to assess the temporal effect of frailty transition on obtaining depressive symptoms. Results Compared to non-frail individuals, the risk of depression was higher in transitioned into frailty and constantly frail participants over a 2-year interval: men (odds ratio (OR) 1.26, 95% confidence interval (CI) 1.21–1.32; OR 1.29, 95% CI 1.21–1.38), women (OR 1.34, 95% CI 1.28–1.40; OR 1.51, 95% CI 1.41–1.62), respectively. Conclusions Frailty transition is found to be associated with new-onset depressive symptoms. Frail individuals and those who transitioned into frailty were associated with a higher risk of depression. Particular attention should be paid to these frailty transitioned groups. Early intervention and implementation of prevention strategies at physical, nutritional, and social levels are warranted to ameliorate frailty and depression in late life.

Publisher

Springer Science and Business Media LLC

Subject

Geriatrics and Gerontology

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