Frailty prevalence and factors associated with the frailty phenotype and frailty index: findings from the north West Adelaide health study
Australasian journal on ageing, 2018•Wiley Online Library
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 …
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 …
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.
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