英文摘要 |
This was the first study to compare the ability of four frailty indices to identify frailty, and to investigate their correlations with varied functional risks as measured by Living Activities of Health Aging BabyBot (LAHA Bot) in community-dwelling older adults. Two-hundred and fifty-four healthy older adults aged 70 to 79 who underwent annual health checkups at National Taiwan University Hospital in 2018 participated this study. First, we assessed the prevalence of frailty using the four frailty indices, which were found to range from highest to the lowest as follows: modified physical frailty index (2.0%), FRAIL frailty index (1.2%), clinical frailty-deficits count index (0.8%) and SOF frailty index (0.8%). Second, we analyzed the correlations between each of the frailty indices and the 29 functional risks, such as chronic diseases, lifestyle, cognition, emotion, and activities of daily living. The results showed that the clinical frailty-deficits count index, associated with 22 functional risks, was the most relevant index, followed by FRAIL frailty index (13 risks), modified physical frailty index (8 risks), and SOF frailty index (7 risks). Furthermore, results showed that the modified physical frailty index was not associated with depressive risk, and the SOF frailty index was not associated with cognitive and depressive risks. The results showed that a multi-dimensional frailty index-namely the clinical frailty-deficits count index (68 items)-correlated with more functional risks than a 3- or 5-item simple frailty index (i.e. FRAIL frailty index, SOF frailty index, and clinical frailty-deficits count index). Therefore it was suggested that a multiple-dimension functional risks assessment for aging may be necessary before prescribing individualized frailty interventions. |