Purpose Depression and frailty are common health problems that occur separately or simultaneously in later life. The two syndromes are correlated, but they need to be distinguished to promote successful aging. Previous studies have examined the reciprocal relationship between depression and frailty, but there are limitations in the methods or statistical analysis. This study aims to confirm the potential prospective bidirectional and causal relationship between depression and frailty.
Methods We used data from 887 older adults aged 70 to 84 from the Korean Frailty and Aging Cohort Study (KFACS) in 2016, 2018, and 2020 (3 waves). We separated the within-individual process from the stable between-individual differences using the random intercepts cross-lagged panel model.
Results Significant bidirectional causal effects were observed in 2 paths. Older adults with higher depression than their within-person average at T1 had a higher risk of frailty at T2 (β=.22, p=.008). Subsequently, older adults with higher-than-average frailty scores at T2 showed higher depression at T3 (β=.14, p=.010). Autoregressive effects were only significant from T2 to T3 for both constructs (Depression: β=.16, p=.044; Frailty: β=.13, p=.028). At the between-person level, the correlation was significant between the random intercepts between depression and frailty (β=.47, p<.001).
Conclusions We find that depressed older adults have an increased risk of frailty, which contributes to the onset of depression and the maintenance of frailty. Therefore, interventions for each condition may prevent the entry and worsening of the other condition, as well as prevent comorbidity.
PURPOSE The purpose of this study is to examine effects of a multifactorial program for preventing the frailty of older adults and effects of a follow-up program applying a capacity building strategy. METHODS A quasi-experimental pretest-posttest design was used for the nonequivalent control group. The follow-up group (n=75) and non-follow-up group (n=68) received the same multifactorial program comprising muscle strength exercise, cognitive training, and psychosocial programs for 12 weeks. After completion of multifactorial program, the follow-up group took follow-up programs applying the capacity building strategy for following 12 weeks. The data of physical function, cognitive function, and psychological function, and self-rated health were collected from both groups three times: before intervention, after intervention, and 12 weeks after intervention. The data were analyzed using χ2 test and t-test. RESULTS In comparison with the non-follow-up group, the scores of Timed Up & Go Test, and physical activities energy expenditure were significantly improved in the follow-up group. CONCLUSION These results indicate that a multifactorial program with follow-up adapting the strategies of capacity building for the older adults group is feasible to prevent the physical frailty in community.
PURPOSE The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. METHODS 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. RESULTS The top five keywords with a high frequency of occurrence include ‘disability’, ‘nursing home’, ‘sarcopenia’, ‘exercise’, and ‘dementia’. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of ‘long term care’ (0.55), ‘gait’ (0.42), ‘physical activity’ (0.42), ‘quality of life’ (0.42), and ‘physical performance’ (0.38). The betweenness centralities of the keywords were listed in the order of depression’ (0.32), ‘quality of life’ (0.28), ‘home care’ (0.28), ‘geriatric assessment’ (0.28), and ‘fall’ (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. CONCLUSION After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.
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