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|Scopus||Web of Science®||Altmetric|
|Title:||Frailty prevalence and factors associated with the Frailty Phenotype and Frailty Index: findings from the North West Adelaide Health Study|
|Citation:||Australasian Journal on Ageing, 2018; 37(2):120-126|
|Mark Q Thompson, Olga Theou, Solomon Yu, Robert J Adams, Graeme R Tucker, Renuka Visvanathan|
|Abstract:||Objective: To determine the prevalence of frailty and associated factors in the North West Adelaide Health Study (2004–2006) using the Frailty Phenotype (FP) and Frailty Index (FI). Methods: Frailty was measured in 909 community-dwelling participants aged ≥65 years using the FP and FI. Results: The FP classified 18% of participants as frail and the FI 48%. The measures were strongly correlated (r = 0.76, P < 0.001) and had a kappa agreement of 0.38 for frailty classification, with 37% of participants classified as non-frail by the FP being classified as frail by the FI. Being older, a current smoker, and having multimorbidity and polypharmacy were associated with higher frailty levels by both tools. Female, low income, obesity and living alone were associated with the FI. Conclusion: Frailty prevalence was higher when assessed using the FI. Socioeconomic factors and other health determinants contribute to higher frailty levels.|
|Keywords:||Australia; cohort studies; epidemiologic measurements; frail older adults; prevalence|
|Rights:||© 2017 AJA Inc.|
|Appears in Collections:||Aurora harvest 8|
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