Frailty index transitions over eight years were frequent in The Irish Longitudinal Study on Ageing.
View / Open Files
Publication Date
2021Journal Title
HRB Open Res
ISSN
2515-4826
Publisher
F1000 Research Ltd
Volume
4
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Romero-Ortuno, R., Hartley, P., Knight, S. P., Kenny, R. A., & O'Halloran, A. M. (2021). Frailty index transitions over eight years were frequent in The Irish Longitudinal Study on Ageing.. HRB Open Res, 4 https://doi.org/10.12688/hrbopenres.13286.1
Abstract
Background: The frailty index (FI) is based on accumulation of health deficits. FI cut-offs define non-frail, prefrail and frail states. We described transitions of FI states in The Irish Longitudinal Study on Ageing (TILDA). Methods: Participants aged ≥50 years with information for a 31-deficit FI at wave 1 (2010) were followed-up over four waves (2012, 2014, 2016, 2018). Transitions were visualized with alluvial plots and probabilities estimated with multi-state Markov models, investigating the effects of age, sex and education. Results: 8174 wave 1 participants were included (3744 men and 4430 women; mean age 63.8 years). Probabilities from non-frail to prefrail, and non-frail to frail were 18% and 2%, respectively. Prefrail had a 19% probability of reversal to non-frail, and a 15% risk of progression to frail. Frail had a 21% probability of reversal to prefrail and 14% risk of death. Being older and female increased the risk of adverse FI state transitions, but being female reduced the risk of transition from frail to death. Higher level of education was associated with improvement from prefrail to non-frail. Conclusions: FI states are characterized by dynamic longitudinal transitions and frequent improvement. Opportunities exist for reducing the probability of adverse transitions.
Keywords
Aged, Transition, Frailty, Surveys, Longitudinal, Multi-state
Identifiers
PMC8406448, 34522838
External DOI: https://doi.org/10.12688/hrbopenres.13286.1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329554
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.