RETRACTED: Association Between Frailty and Cognitive Impairment: Cross-Sectional Data From Toulouse Frailty Day Hospital

Fougère, Bertrand; Daumas, Matthieu; Lilamand, Matthieu; Sourdet, Sandrine; Delrieu, Julien; Vellas, Bruno; Kan, Gabor Abellán van

doi:10.1016/j.jamda.2017.06.024

Cited by 45 publications

(39 citation statements)

References 38 publications

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“…The primary finding of this study is that MCR was associated with frailty in elderly population. This finding is in accordance with a cross-sectional study from France [42], which showed that physical frailty and, in particular, slow gait speed were associated with cognitive impairment, indirectly reflecting that slow gait and cognitive impairment often coexist with MCR and suggesting that MCR and frailty interact with each other in the context of ageing. Subjective cognitive complaints and slow gait are common conditions in the ageing process and have been considered early clinical indicators of cognitive impairment and dementia during the preclinical stages.…”

Section: Discussionsupporting

confidence: 91%

Association between motoric cognitive risk syndrome and frailty among older Chinese adults

Shen

Zeng

et al. 2020

BMC Geriatr

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Background: Motoric cognitive risk syndrome (MCR) is a newly proposed predementia syndrome incorporating subjective cognitive complaints and slow gait. Previous studies have reported that subjective cognitive complaints and slow gait are associated with frailty in cognitively unimpaired older adults, but little is known about the link between MCR and frailty in older adults. Therefore, the aim of the study was to explore the associations of MCR and its components with frailty in older Chinese adults. Methods: In an observational cross-sectional study, a total of 429 older adults aged 60 years and older were admitted to the geriatric department. According to MCR criteria, all participants were classified into 4 groups: 1) the MCR group; 2) the subjective cognitive complaints only group; 3) the slow gait only group; and 4) the healthy control group. Physical frailty was assessed by the Clinical Frailty Scale (CFS). Multivariate logistic regression analysis was used to examine the association between MCR and frailty in older adults.Results: The prevalence rates of subjective cognitive complaints, slow gait and MCR were 15.9, 10.0 and 4.0%, respectively. After adjusting for confounding variables, the logistic regression analysis showed that slow gait (odds ratio [OR]: 3.40, 95% confidence interval [CI]: 1.40-8.23, P = 0.007) and MCR (OR: 5.53, 95% CI: 1.46-20.89, P = 0.012) were independently associated with frailty, but subjective cognitive complaints were not. Conclusions: MCR and slow gait were significantly associated with frailty in older Chinese adults. Further studies should prospectively determine the causal relationship between MCR and frailty.

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Section: Discussionsupporting

confidence: 91%

Association between motoric cognitive risk syndrome and frailty among older Chinese adults

Shen

Zeng

et al. 2020

BMC Geriatr

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“…Past studies have shown PF to be associated with cognitive decline in older adults ( 23 , 24 ). Compared to the individuals with only cognitive impairment (i.e., without PF), those with CF showed poorer scores on executive and attention tests ( 25 ).…”

Section: Discussionmentioning

confidence: 98%

Cognitive Frailty in China: Results from China Comprehensive Geriatric Assessment Study

Zhang

et al. 2017

Front. Med.

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ObjectiveCognitive frailty (CF) refers to the co-occurrence of physical frailty (PF) and cognitive impairment in persons without dementia. We aimed to explore the prevalence and associated factors of CF in China.MethodData were obtained from the China Comprehensive Geriatric Assessment Study. A total of 5,708 community-dwelling older adults without dementia were included. CF was assessed using the Mini–Mental State Examination for the evaluation of cognitive status and the Comprehensive Geriatric Assessment-Frailty Index for the evaluation of PF. Participants with both cognitive impairment and PF were classified as having CF. Sociodemographic and clinical history was also collected. Logistic analysis was used to explore the association between the associated factors and CF.ResultsThe overall crude prevalence of CF was 3.3% [95% confidence interval (CI) = 3.0–4.0], and the standard prevalence of CF was 2.7% (95% CI = 2.0–3.0). The prevalence of CF was significantly higher in women than men and higher in residents of rural areas than urban areas. Moreover, the prevalence of CF was found to increase with age. Multiple factor analysis showed that depression (OR = 2.462, 95% CI = 1.066–5.687) and hearing impairment (OR = 2.713, 95% CI = 1.114–6.608) were independent associated factors of CF in elderly individuals with PF.ConclusionOur results provide the first empirical evidence of CF in China. We have identified several associated factors with CF which should be considered while assessing older adults. More studies in Chinese population with CF are demanded to confirm with our findings.

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“…Hence, our study findings may suggest that the development of CF may not be caused by the mechanisms that are shared with chronic diseases. As stated earlier, although in a few studies factors associated with CF have been reported [18,49], this came from cross-sectional observations which do not provide definite information about the cause-and-effect relationships, as compared to longitudinal study reports.…”

Section: Discussionmentioning

confidence: 99%

Incidence and Predictors of Cognitive Frailty Among Older Adults: A Community-based Longitudinal Study

Rivan

Shahar

Rajab

et al. 2020

IJERPH

102

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1) Background: Cognitive frailty (CF) is the simultaneous presence of physical frailty and cognitive impairment with an increased risk of dementia. Considering that the risk factors of CF are mostly elucidated from cross-sectional studies, we conducted a community-based longitudinal study to determine the incidence and the predictors of CF among Malaysian older adults.; (2) Methods: Out of 490 older adults participating in the Malaysian Towards Useful Aging (TUA) study, 282 were successfully followed-up at five-years for an analysis of the CF incidence. CF was defined as a comorbid physical frailty (>1 Fried criteria) and mild cognitive impairment (Petersen criteria). A comprehensive interview-based questionnaire was administered for sociodemographic information, cognitive function, physical function, dietary intake, psychosocial, and biochemical indices. Univariate analyses were performed for each variable, followed by a regression analysis to identify the predictors of CF that accounted for confounding effects between the studied factors; (3) Results: The incidence Int.rate of CF was 7.1 per 100 person-years. Advancing age (OR=1.12, 95% CI:1.04-1.21, p < 0.05), depression (OR=1.20, 95% CI:1.05-1.37, p < 0.05), decreased processing speed, assessed by a lower digit symbol score (OR=0.67, 95%CI:0.0.56-0.80, p < 0.05), decreased functional mobility measured using Timed-Up-and-Go (TUG) (OR=1.23, 95% CI:1.04-1.46, p < 0.05), low vitamin D intake (OR:0.36, 95% CI:0.14-0.93, p < 0.05) and physical frailty (OR=2.16, 95% CI:1.02-4.58, p < 0.05) were predictors for CF incidence; and (4) Conclusions: Our study results could be used as an initial reference for future studies to formulate effective preventive management and intervention strategies to decelerate CF development among older adults.

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RETRACTED: Association Between Frailty and Cognitive Impairment: Cross-Sectional Data From Toulouse Frailty Day Hospital

Cited by 45 publications

References 38 publications

Association between motoric cognitive risk syndrome and frailty among older Chinese adults

Association between motoric cognitive risk syndrome and frailty among older Chinese adults

Cognitive Frailty in China: Results from China Comprehensive Geriatric Assessment Study

Incidence and Predictors of Cognitive Frailty Among Older Adults: A Community-based Longitudinal Study

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