Cognitive frailty is a robust predictor of falls, injuries, and disability among community-dwelling older adults.
Cognitive frailty, a combination of physical frailty and cognitive impairment, is associated with functional decline in older adults. However, there is limited information if cognitive frailty predicts the incidence of falls, injuries, and disability. In this study, we aimed to determine the ability of cognitive frailty in predicting the incidence of falls, injuries and disability among multi-ethnic older adults in Malaysia at 5 years follow-up.
In this prospective cohort study, a total of 400 participants aged 60 years and above were successfully followed up at 5 years. Participants' socio-demographic, medical history, psycho-social, physical, cognitive and dietary intake information was obtained. Cognitive frailty was defined as comorbid physical frailty (> 1 Fried criteria) and mild cognitive impairment (Petersen criteria). Univariate analysis was performed for all variables, followed by hierarchical binary logistic regression (BLR) analysis to identify the ability of CF in predicting the incidence of falls, injuries, and disability. The significant value was set at p < 0.05.
Cognitive frailty was found to be associated with greater risk of adverse consequences after adjusting for covariates. Both cognitive frailty (Adjusted Odd ratio (Adj OR) = 2.98, 95% confidence interval (CI): 1.78-4.99, p < 0.05) and physical frailty (Adj OR = 2.88, 95% CI: 1.19-6.99, p < 0.05) were significant predictors of incidence of falls. Risk of injuries was also significantly increased with the presence of cognitive frailty (Adj OR = 3.06, 95% CI: 1.23-7.60, p < 0.05) and physical frailty (Adj OR = 3.04, 95% CI: 1.75-5.28, p < 0.05). In addition, cognitive frailty (Adj OR = 5.17, 95% CI: 1.11-24.21, p < 0.05) and physical frailty (Adj OR = 4.99, 95% CI: 1.11-22.57, p < 0.05) were shown to significantly predict the incidence of disability among older adults.
Cognitive frailty is a robust predictor of falls, injuries, and disability in older adults. Possible early multi-domain preventive and management strategies of cognitive frailty that contribute to adverse consequences are required to decrease further functional decline and promote independence in older adults.
Rivan NFM
,Singh DKA
,Shahar S
,Wen GJ
,Rajab NF
,Din NC
,Mahadzir H
,Kamaruddin MZA
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《BMC Geriatrics》
Synergistic effects of cognitive frailty and comorbidities on disability: a community-based longitudinal study.
In this study, we aimed to assess the synergistic effects of cognitive frailty (CF) and comorbidity on disability among older adults.
Out of the 1318 participants from the Malaysian Towards Useful Aging (TUA) study, only 400 were included in the five-year follow-up analysis. A comprehensive interview-based questionnaire covering socio-demographic information, health status, biochemical indices, cognitive and physical function, and psychosocial factors was administered. Binary logistic regression analysis was employed to estimate the independent and combined odd ratios (ORs). Measures such as the relative excess risk due to interaction (RERI), the attributable proportion of risk due to the interaction, and the synergy index were used to assess the interaction between CF and comorbidity.
Participants with CF (24.1%) were more likely to report disability compared to those without CF (10.3%). Synergistic effects impacting disability were observed between CF and osteoarthritis (OA) (OR: 6.675, 95% CI: 1.057-42.158; RERI: 1.501, 95% CI: 1.400-1.570), CF and heart diseases (HD) (OR: 3.480, 95% CI: 1.378-8.786; RERI: 0.875, 95% CI: 0.831-0.919), CF and depressive symptoms (OR: 3.443, 95% CI: 1.065-11.126; RERI: 0.806, 95% CI: 0.753-0.859), and between CF and diabetes mellitus (DM) (OR: 2.904, 95% Confidence Interval (CI): 1.487-5.671; RERI: 0.607, 95% CI: 0.577-0.637).
These findings highlight the synergism between the co-existence of CF and comorbidity, including OA, HD, DM, and depressive symptoms, on disability in older adults. Screening, assessing, and managing comorbidities, especially OA, HD, DM and depressive symptoms, when managing older adults with CF are crucial for reducing the risk of or preventing the development of disability.
Fatin Malek Rivan N
,Murukesu RR
,Shahar S
,Fadilah Rajab N
,Subramaniam P
,Choon Ooi T
,Zul Amin Kamaruddin M
,Singh DKA
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Predictors for the development of motoric cognitive risk syndrome in older adults.
Motoric cognitive risk (MCR) syndrome refers to a condition where both slow gait and memory complaints coexist, which heightens their vulnerability to developing dementia. Considering that the risk factors of MCR are elucidated from cross-sectional studies and also likely vary based on socioeconomic status, we conducted a community-based longitudinal study to determine the predictors of MCR among older adults in Malaysia.
Out of 1,249 older participants (aged 60 years and above) without MCR at baseline (Wave II of LRGS-TUA cohort study), 719 were successfully followed up after 3.5 years to identify predictors of subsequent MCR development. A comprehensive interview-based questionnaire was administered for sociodemographic information, cognitive function, psychosocial, functional status, and dietary intake. Anthropometric measurements, body composition, and physical performance were assessed. Univariate analyses were performed for each variable, followed by a hierarchical logistic regression analysis to identify the predictors of MCR that accounted for confounding effects between the studied factors.
The incidence rate of MCR was 4.0 per 100 person-years. Smoking (Adjusted Odd Ratio (Adj OR) = 1.782; 95% Confidence Interval (CI):1.050-3.024), hypertension (Adj OR = 1.725; 95% CI:1.094-2.721), decreased verbal memory as assessed by the lower Rey Auditory Verbal Learning Test (RAVLT) (Adj OR = 1.891; 95% CI:1.103-3.243), and decreased functional status measured using instrumental activity of daily living (IADL) (Adj OR = 4.710; 95% CI:1.319-16.823), were predictors for MCR incidence.
Our study results provide an initial reference for future studies to formulate effective preventive management and intervention strategies to reduce the growing burden of adverse health outcomes, particularly among Asian older adults.
Rivan NFM
,Ludin AFM
,Clark BC
,Shahar S
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