Five Factors of Frailty: A Multidimensional Psychometrically Robust Research Tool

Area of Science:

• Gerontology
• Epidemiology
• Psychometrics

Background:

• Longitudinal studies like the English Longitudinal Study on Ageing (ELSA) offer opportunities to study frailty development.
• However, a lack of psychometrically robust longitudinal measures hinders accurate frailty assessment and identification.

Purpose of the Study:

• To develop a psychometrically robust, replicable longitudinal research tool for measuring frailty.
• This tool aims to facilitate future health and aging research.

Main Methods:

• Utilized four waves of ELSA data (N=39,528) from 2014-2017.
• Employed exploratory factor analysis (EFA) on six health deficit domains: Mobility, Daily Function, Self-rated health, Pain, Depression, and diagnosed health conditions.
• Calculated standardized regression factor scores and assessed cross-sectional validation and reliability.

Main Results:

• Identified five consistent factors of frailty across ELSA waves: Mobility/Severe Pain, Planning/Self Care, Depression, Moderate Pain/Movement/Arthritis, and Cardio-Metabolic.
• Factor composition varied between males and females.
• Evaluated psychometric properties including factorability, replicability, internal consistency, and relations with age.

Conclusions:

• Established five distinct factors representing an accumulation of deficits approach to frailty.
• Outlined the development and application of this five-factor frailty research tool.
• This tool will assist researchers in understanding complex risk factors and outcomes associated with empirically derived frailty components within ELSA.