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Abstract

Objectives: Our objective is to report prevalence of motoric cognitive risk syndrome (MCR), a newly described predementia syndrome characterized by slow gait and cognitive complaints, in multiple countries, and its association with dementia risk. Methods: Pooled MCR prevalence analysis of individual data from 26,802 adults without dementia and disability aged 60 years and older from 22 cohorts from 17 countries. We also examined risk of incident cognitive impairment (Mini-Mental State Examination decline ≥4 points) and dementia associated with MCR in 4,812 individuals without dementia with baseline Mini-Mental State Examination scores ≥25 from 4 prospective cohort studies using Cox models adjusted for potential confounders. Results: At baseline, 2,808 of the 26,802 participants met MCR criteria. Pooled MCR prevalence was 9.7% (95% confidence interval [CI] 8.2%-11.2%). MCR prevalence was higher with older age but there were no sex differences. MCR predicted risk of developing incident cognitive impairment in the pooled sample (adjusted hazard ratio [aHR] 2.0, 95% CI 1.7-2.4); aHRs were 1.5 to 2.7 in the individual cohorts. MCR also predicted dementia in the pooled sample (aHR 1.9, 95% CI 1.5-2.3). The results persisted even after excluding participants with possible cognitive impairment, accounting for early dementia, and diagnostic overlap with other predementia syndromes. Conclusion: MCR is common in older adults, and is a strong and early risk factor for cognitive decline. This clinical approach can be easily applied to identify high-risk seniors in a wide variety of settings.

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... for MCR. The pooled MCR prevalence from various systematic reviews and meta-analyses ranges from 9% to 10%, [5][6][7] with slight variations depending on the gait speed measurement protocols (eg, GAITRite walk: 8.0% vs timed walk: 9.0%). 7 Furthermore, individual studies included in these reviews reported MCR prevalence ranging from 2% to 33.3%, 8,9 likely attributable to differences in population characteristics, study design, or potential heterogeneity in measurement practices, etc. ...
... The pooled MCR prevalence from various systematic reviews and meta-analyses ranges from 9% to 10%, [5][6][7] with slight variations depending on the gait speed measurement protocols (eg, GAITRite walk: 8.0% vs timed walk: 9.0%). 7 Furthermore, individual studies included in these reviews reported MCR prevalence ranging from 2% to 33.3%, 8,9 likely attributable to differences in population characteristics, study design, or potential heterogeneity in measurement practices, etc. ...
... Recent studies have emphasized that the SCC criterion of MCR has been variably implemented; however, the heterogeneity in measurement practices for slow gait speed, the second key component in MCR diagnosis, has not received adequate attention, even though the standard threshold for "slow" gait speed for MCR has been uniformly operationalized across the increasingly extensive studies. 6,10 The measurement practices of slow gait speed have been highly heterogeneous in different studies, marked by inconsistencies of measurement tools, distance of walking, cutoff value of slow gait speed, and inconsistencies of other subtle test requirements, 7,[11][12][13][14] possibly leading to misdiagnosis and weakening the sensitivity of MCR in detecting dementia risk. Nevertheless, findings from previous studies show that a consistent measurement procedure for slow gait speed in MCR diagnosis is yet to be established. ...
... Motoric cognitive risk syndrome (MCR) is a predementia syndrome characterized by slow gait and subjective cognitive complaints. 12 It also predicts falls, disability, and mortality. 13,14 MCR has received widespread attention as a dementia risk assessment, because it is clinically useful, does not require cognitive testing or laboratory assays, and can be assessed almost anywhere without requiring specialized equipment, even in resource-limited settings. ...
... 13,14 MCR has received widespread attention as a dementia risk assessment, because it is clinically useful, does not require cognitive testing or laboratory assays, and can be assessed almost anywhere without requiring specialized equipment, even in resource-limited settings. 12 While a growing body of literature has demonstrated a connection between respiratory function and dementia, [4][5][6][7][8][9][10][11] little is known about the link between respiratory function and MCR. Finding risk factors such as respiratory function that may be associated with MCR could enhance our understanding of cognitive decline, including underlying mechanisms, earlier detection, preventive measures, and management strategies. ...
... slow gait speed and subjective cognitive complaints in people without dementia or mobility disability. 12,19 Mobility disability was defined as the inability to ambulate despite using walking aids or having assistance, as in prior studies. 12,19 In NHATS, gait speed was based on the time needed to walk 3 meters at a usual pace. ...
Article
Background Poor respiratory function, including low peak expiratory flow (PEF), is a risk factor for dementia. Motoric cognitive risk syndrome (MCR) is a predementia syndrome characterized by slow gait and subjective cognitive complaints. However, the association between PEF and MCR remains unclear. This study examined the cross‐sectional and longitudinal association between PEF and MCR. Methods The National Health and Aging Trends Study (NHATS), which is a nationally representative cohort of adults ≥65 years of age in the United States, was analyzed from 2011 to 2017. Logistic regression and discrete‐time proportional hazards models tested the association of PEF standardized residuals (SR) at baseline with prevalent and incident MCR, respectively. The models adjusted for multiple sociodemographic and health‐related covariates. Results Among 5328 participants (57% women) included at baseline, lower PEF SR was associated with higher prevalence of MCR. Compared with the ≥80 PEF SR percentile group, the <30 and 30–50 percentile groups had significantly higher odds of prevalent MCR (OR 3.04 [95% CI 1.85, 5.01]; OR 2.06 [95% CI 1.19, 3.54], respectively). Over six years of follow‐up, lower PEF SR was also associated with higher incidence of MCR. Compared with the ≥80 PEF SR percentile group, the <30 and 30–50 percentile groups had significantly higher risk of incident MCR (HR 1.81 [95% CI 1.24, 2.66]; HR 1.55 [95% CI 1.02, 2.34], respectively). Conclusions Lower PEF was associated with higher prevalence and incidence of MCR. Poor respiratory function should be further investigated as a potentially modifiable risk factor for MCR and cognitive decline.
... Thus, motoric cognitive risk (MCR) syndrome was introduced as a predementia syndrome characterised by the simultaneous presence of subjective cognitive complaints and slow gait in older adults without dementia or mobility disability [1]. MCR can be detected without time-consuming comprehensive cognitive tests or other burdensome investigations, enhancing its accessibility in various clinical settings [4]. ...
... Cardiovascular diseases and cardiovascular risk factors, such as hypertension and diabetes, are often reported to increase the MCR risk, similar to dementia and mild cognitive impairment (MCI) [11,12]. Other significant risk factors for MCR examined in individual studies were arthritis, poor vision, and living in rural areas [4,12]. However, all of these studies were conducted cross-sectionally. ...
... As conducted by previous local studies [27,28], a hierarchical binary logistic regression (BLR) was performed to determine MCR predictors in a multivariate model. For the first stage, all the significant variables (p < 0.05) from the univariate analysis were adjusted for multiple testing and classified into five different groups, as follows: [1] sociodemographic and medical status; [2] blood pressure, anthropometry, and body composition; [3] cognitive and physical assessments; [4] psychosocial and functional status; and [5] dietary intake associated with cognitive frailty. Then, all significant variables (p < 0.05) from each model were included in the final logistic model. ...
Article
Full-text available
Background 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. Methods 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. Results 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. Conclusions 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.
... Throughout this extended preclinical stage, slower gait and subjective memory complaints typically manifest concurrently [5]. The motoric cognitive risk syndrome (MCR), which integrates these two early indicators of dementia [6][7][8], has been reported to be a stronger predictor of cognitive decline compared to either of them alone [9]. It is considered an intermediary stage transitioning from normal aging to MCI. ...
... It is considered an intermediary stage transitioning from normal aging to MCI. The prevalence of MCR is 9.7% among older adults according to a multi-country analysis from 22 cohorts [7]. In addition to dementia, MCR has been reported as a risk factor for various negative outcomes such as physical impairment [10], mortality [11], and falls [12]. ...
... Three types of sensitivity analyses were conducted in this study. MCR and MCI are both intermediate conditions between natural aging and dementia [6,7,39]. Individuals with MCR may be combined with MCI [40]. ...
Article
Full-text available
Objectives Motoric cognitive risk syndrome (MCR) is a pre-dementia condition characterized by subjective complaints in cognition and slow gait. Pain interference has previously been linked with cognitive deterioration; however, its specific relationship with MCR remains unclear. We aimed to examine how pain interference is associated with concurrent and incident MCR. Methods This study included older adults aged ≥ 65 years without dementia from the Health and Retirement Study. We combined participants with MCR information in 2006 and 2008 as baseline, and the participants were followed up 4 and 8 years later. The states of pain interference were divided into 3 categories: interfering pain, non-interfering pain, and no pain. Logistic regression analysis was done at baseline to examine the associations between pain interference and concurrent MCR. During the 8-year follow-up, Cox regression analysis was done to investigate the associations between pain interference and incident MCR. Results The study included 7120 older adults (74.6 ± 6.7 years; 56.8% females) at baseline. The baseline prevalence of MCR was 5.7%. Individuals with interfering pain had a significantly increased risk of MCR (OR = 1.51, 95% CI = 1.17–1.95; p = 0.001). The longitudinal analysis included 4605 participants, and there were 284 (6.2%) MCR cases on follow-up. Participants with interfering pain at baseline had a higher risk for MCR at 8 years of follow-up (HR = 2.02, 95% CI = 1.52–2.69; p < 0.001). Conclusions Older adults with interfering pain had a higher risk for MCR versus those with non-interfering pain or without pain. Timely and adequate management of interfering pain may contribute to the prevention and treatment of MCR and its associated adverse outcomes.
... MCR builds on the operational definition of MCI, substituting the objective cognitive criterion assessed through neuropsychological testing with SG, and increased clinical accessibility [6]. The prevalence of MCR varied from 2% to 27.3% in different countries [7][8][9], with the pooled prevalence was 9.7% [7]. Previous studies have shown that MCR is a predictor of cognitive impairment and dementia, as well as other adverse health outcomes (falls, disability, and mortality) [7,8,[10][11][12]. ...
... MCR builds on the operational definition of MCI, substituting the objective cognitive criterion assessed through neuropsychological testing with SG, and increased clinical accessibility [6]. The prevalence of MCR varied from 2% to 27.3% in different countries [7][8][9], with the pooled prevalence was 9.7% [7]. Previous studies have shown that MCR is a predictor of cognitive impairment and dementia, as well as other adverse health outcomes (falls, disability, and mortality) [7,8,[10][11][12]. ...
... The prevalence of MCR varied from 2% to 27.3% in different countries [7][8][9], with the pooled prevalence was 9.7% [7]. Previous studies have shown that MCR is a predictor of cognitive impairment and dementia, as well as other adverse health outcomes (falls, disability, and mortality) [7,8,[10][11][12]. Notably, approximately 20.3% of older adults with MCR converted to non-MCR [13], which provides an important window period for ultra-early prevention and intervention for dementia and other adverse health outcomes. ...
Article
Introduction: Motoric cognitive risk syndrome (MCR) is a newly proposed pre-dementia syndrome characterized by subjective cognitive complaints (SCCs) and slow gait (SG). Increasing evidence links MCR to several adverse health outcomes, but the specific relationship between MCR and the risk of frailty, Alzheimer's disease (AD), and vascular dementia (VaD) remains unclear. Additionally, literature lacks analysis of MCR's components and associated health outcomes, complicating risk identification. This systematic review and meta-analysis aimed to provide a comprehensive overview of MCR's predictive value for adverse health outcomes. Methods: Relevant cross-sectional, cohort, and longitudinal studies examining the association between MCR and adverse health outcomes were extracted from ten electronic databases. The Newcastle-Ottawa Scale (NOS) and modified NOS were used to assess the risk of bias in studies included in the analysis. Relative ratios (RRs) and 95% confidence intervals (CIs) were pooled for outcomes associated with MCR. Results: Twenty-eight longitudinal or cohort studies and four cross-sectional studies with 1,224,569 participants were included in the final analysis. The risk of bias in all included studies was rated as low or moderate. Pooled analysis of RR indicated that MCR had a greater probability of increased the risk of dementia (adjusted RR = 2.02; 95% CI = 1.94-2.11), cognitive impairment (adjusted RR = 1.72; 95% CI = 1.49-1.99), falls (adjusted RR = 1.32; 95% CI = 1.17-1.50), mortality (adjusted RR = 1.66; 95% CI = 1.32-2.10), and hospitalization (adjusted RR = 1.46; 95% CI = 1.16-1.84); MCR had more prominent predictive efficacy for AD (adjusted RR = 2.23; 95% CI = 1.81-2.76) compared to VaD (adjusted RR = 3.78; 95% CI = 0.49-28.95), while excluding analyses from the study that utilized the timed-up-and-go test and one-leg-standing to evaluate gait speed. One study examined the association between MCR and disability (hazard ratios [HR] = 1.69; 95% CI = 1.08-2.02) and frailty (OR = 5.53; 95% CI = 1.46-20.89). SG was a stronger predictor of the risk for dementia and falls than SCC (adjusted RR = 1.22; 95% CI = 1.11-1.34 vs. adjusted RR = 1.19; 95% CI = 1.03-1.38). Conclusion: MCR increases the risk of developing any discussed adverse health outcomes, and the predictive value for AD is superior to VaD. Additionally, SG is a stronger predictor of dementia and falls than SCC. Therefore, MCR should be routinely assessed among adults to prevent poor prognosis and provide evidence to support future targeted interventions.
... MCRS is a predementia syndrome characterized by the simultaneous presence of subjective cognitive complaints and slow gait in older individuals without dementia or mobility disabilities [7]. MCRS is often considered a transition state between normal aging and mild cognitive impairment [7]. ...
... MCRS is a predementia syndrome characterized by the simultaneous presence of subjective cognitive complaints and slow gait in older individuals without dementia or mobility disabilities [7]. MCRS is often considered a transition state between normal aging and mild cognitive impairment [7]. The syndrome can be assessed simply and rapidly, making diagnosis easy and feasible in primary care settings worldwide [1]. ...
... MCRS is the presence of subjective cognitive complaints and slow gait in older individuals without dementia or mobility disability [7]. Subjective cognitive complaints were noted by recorders based on positive responses for either of the following problems: 1) "How would you rate your memory currently?" ...
Article
Full-text available
Objective We aimed to (1) identify neuroimaging biomarkers of distinguishing motoric cognitive risk syndrome (MCRS) risk among older Chinese adults with cerebral small vessel disease (CSVD) and (2) detect differences in gait parameters and neuroimaging biomarkers between CSVD individual with and without MCRS, especially during dual-task walking (DTW). Methods We enrolled 126 inpatients with CSVD who were divided into two groups according to MCRS status. Data on basic parameters, variability, asymmetry, and coordination were collected during single-task walking (STW) and DTW. Neuroimaging features (white matter hyperintensities, lacunes, and microbleeds) and total disease burden were calculated. Analysis of variance and logistic regression analyses were applied to assess the role of STW, DTW, and neuroimaging biomarkers in MCRS. Results In total, 126 consecutive inpatients with CSVD were included (84 and 42 patients were classified as MCRS-negative and MCRS-positive, respectively). The MCRS-positive group showed poorer performance for nearly all gait parameters compared with the MCRS-negative group during cognitive DTW. Meanwhile, all gait parameters except asymmetry were assessed in participants with MCRS for significant deterioration during cognitive DTW compared with that during STW. However, only basic parameters differed between STW and cognitive DTW in participants without MCRS. A significant independent association between total CSVD scores and MCRS was also detected. Conclusions For CSVD patients, with higher total CSVD burden rather than any single neuroimaging marker, was linked to a greater risk of MCRS. In addition, CSVD individuals with MCRS had higher variability and phase coordination index (PCI), especially in cognitive DTW. Thus, they should concentrate more on their gait variability or coordination and reduce secondary task loads while walking in daily life, especially in cognitive secondary tasks.
... Motoric Cognitive Risk Syndrome (MCR) is a predementia condition initially validated in the early 2010s [1], which combines two clinical presentations independently associated with dementia: slow gait speed and self-perceived decline in cognitive functioning. Global prevalence rates of MCR are around 10% [2,3], and the diagnosis has been shown to identify older adults at increased risk for falls [4][5][6], disability [7][8][9], cognitive impairment [13], and mortality [10][11][12], including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) [2,13]. MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone [13], making it a useful tool to identify individuals at risk for impairment. ...
... Motoric Cognitive Risk Syndrome (MCR) is a predementia condition initially validated in the early 2010s [1], which combines two clinical presentations independently associated with dementia: slow gait speed and self-perceived decline in cognitive functioning. Global prevalence rates of MCR are around 10% [2,3], and the diagnosis has been shown to identify older adults at increased risk for falls [4][5][6], disability [7][8][9], cognitive impairment [13], and mortality [10][11][12], including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) [2,13]. MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone [13], making it a useful tool to identify individuals at risk for impairment. ...
... Global prevalence rates of MCR are around 10% [2,3], and the diagnosis has been shown to identify older adults at increased risk for falls [4][5][6], disability [7][8][9], cognitive impairment [13], and mortality [10][11][12], including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) [2,13]. MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone [13], making it a useful tool to identify individuals at risk for impairment. Since the first publication in 2013 [1], there has been a proliferation of MCR research around the world. ...
Article
Background Motoric Cognitive Risk Syndrome (MCR) is a predementia condition that combines slow gait speed and subjective cognitive concerns (SCC). The SCC criterion is presently unstandardized, possibly limiting risk detection. We sought to: 1. Characterize SCC practices through MCR literature review; 2. Investigate the ability of SCC in slow gait individuals in predicting the likelihood of cognitive impairment in a demographically diverse sample of community-dwelling, non-demented older adults. Methods First, we comprehensively reviewed the MCR literature, extracting information regarding SCC measures, items, sources, and cognitive domain. Next, Einstein Aging Study (EAS) participants (N=278, Mage=77.22±4.74, %female=67, Meducation=15±3.61, %non-Hispanic white=46.3) completed gait, Clinical Dementia Rating Scale (CDR), and SCC assessment at baseline and annual follow-up (Mfollow-up=3.5). Forty-two participants met slow gait criteria at baseline. Generalized linear mixed effects models examined baseline SCC to predict cognitive impairment on CDR over follow-up. Results We reviewed all published MCR studies (N=106) and documented ambiguity in SCC criteria, with a prevalent approach being use of a single self-reported memory item. In EAS, high SCC endorsement on a comprehensive, validated screen significantly impacted the rate of cognitive impairment (CDR; βinteraction=0.039, p=0.018) in slow gait individuals. Conclusions An assessment approach that queries across numerous SCC domains was found to predict future decline in clinical dementia status in slow gait older adults. Current SCC practices in MCR, which tend to utilize a single memory item, may not be the optimal approach. We discuss the implications of SCC criteria validation and standardization to enhance early dementia detection in MCR.
... [24][25][26][27][28] In line with these results, a recent meta-analysis of 26,802 older adults from 17 countries revealed a global MCRS incidence of 9.7%, ranging from 2% to 15%. 29 The variation in the incidence of MCRS could be due to the sociodemographic features of the population analyzed, age range, sex distribution, sample size, and criteria used to identify slow gait. 29,30 For example, the highest incidence of MCRS (15%) was found in an Indian cohort 24 with only memory complaints, wider age range (60-92 years), and smaller sample size (n = 271). ...
... 29 The variation in the incidence of MCRS could be due to the sociodemographic features of the population analyzed, age range, sex distribution, sample size, and criteria used to identify slow gait. 29,30 For example, the highest incidence of MCRS (15%) was found in an Indian cohort 24 with only memory complaints, wider age range (60-92 years), and smaller sample size (n = 271). The lowest incidence (3.5%) was determined in a Malaysian study, and the difference was attributed to the participant characteristics, that is, most of the study subjects were female (74.5%) and lived in rural areas (72.3%). ...
... Similar to the present study, previous studies have shown that advanced age is an important risk factor for MCRS. 25,28,29,31 The fact that aging-related sensory and motor loss, nervous system changes, and lifestyle modifications cause a decrease in gait speed and cognitive abilities contributes to the increased risk of MCRS at an older age. 32,33 The evaluation of older adults in terms of MCRS and the identification of individuals with MCRS are important in the development of preventive approaches in the predementia period. ...
Article
Full-text available
Background: Motoric cognitive risk syndrome (MCRS) is characterized by slow gait and subjective cognitive decline. It is a predementia syndrome associated with an increased risk of dementia and mortality. Aims: To investigate the incidence of MCRS and its associated factors in older adults in Türkiye. Study design: A retrospective study. Methods: This study enrolled community-dwelling older adults admitted to the geriatric outpatient clinic. Participants were assessed for MCRS according to previously described criteria. Logistic regression analysis was conducted to evaluate the association among MCRS and demographic features, clinical status, and geriatric syndromes. Results: Of the 1,352 older adults examined, 577 met the inclusion criteria, and the mean age was 75.2 years. The overall incidence of MCRS was 7.8%. The MCRS group was predominantly older, female, and unmarried, with polypharmacy and higher Deyo-Charlson comorbidity index and Yesavage geriatric depression scale scores than the non-MCRS group. In the multivariate model, significant associations were found between MCRS and age and polypharmacy [odds ratios (OR), 2.22; 95% confidence interval (CI), 1.04-4.71, p = 0.039; OR, 2.02; 95% CI, 1.02-3.99, p = 0.043, respectively]. Conclusion: The overall incidence of MCRS was found in 7.8% of older adults. Advanced age and polypharmacy are risk factors associated with MCRS.
... Motoric cognitive risk syndrome (MCR) is a predementia condition initially validated in the early 2010s (1), which combines 2 clinical presentations independently associated with dementia: slow gait speed and self-perceived decline in cognitive functioning. Global prevalence rates of MCR are around 10% (2,3), and the diagnosis has been shown to identify older adults at increased risk for falls (4)(5)(6), disability (7)(8)(9), cognitive impairment (10), and mortality (11)(12)(13), including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) (2,10). MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone (10), making it a useful tool to identify individuals at risk for impairment. ...
... Motoric cognitive risk syndrome (MCR) is a predementia condition initially validated in the early 2010s (1), which combines 2 clinical presentations independently associated with dementia: slow gait speed and self-perceived decline in cognitive functioning. Global prevalence rates of MCR are around 10% (2,3), and the diagnosis has been shown to identify older adults at increased risk for falls (4)(5)(6), disability (7)(8)(9), cognitive impairment (10), and mortality (11)(12)(13), including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) (2,10). MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone (10), making it a useful tool to identify individuals at risk for impairment. ...
... Global prevalence rates of MCR are around 10% (2,3), and the diagnosis has been shown to identify older adults at increased risk for falls (4)(5)(6), disability (7)(8)(9), cognitive impairment (10), and mortality (11)(12)(13), including a number of at-risk older adults who are not identified by other common predementia diagnoses such as mild cognitive impairment (MCI) (2,10). MCR is associated with increased risk for dementia over its individual components of subjective cognitive concerns (SCC) or slow gait alone (10), making it a useful tool to identify individuals at risk for impairment. Since the first publication in 2013 (1), there has been a proliferation of MCR research around the world. ...
Article
Background Motoric Cognitive Risk Syndrome (MCR) is a predementia condition that combines slow gait speed and subjective cognitive concerns (SCC), and predicts incident dementia in diverse global populations. MCR status is simple and inexpensive to ascertain, facilitating assessment in low resource settings. Though the slow gait component of MCR diagnosis is well operationalized, there is no standardized approach to SCC assessment. We hypothesized that in older adults with slow gait, the SCC questions that best predicted cognitive decline would most successfully operationalize SCC. Method Einstein Aging Study participants ( n = 324; M age = 70.4; M education = 15; 67%women; 46.3%White) completed the Cognitive Change Index Supplement (CCI‐40) as part of a comprehensive neuropsychological assessment (which included the Clinical Dementia Rating Scale [CDR]) at baseline and over up‐to‐5 annual follow‐ups ( M wave = 1.48). The CCI‐40 queries SCC across cognitive domains, including memory (21 items), language (4), executive functioning (5), attention/concentration (4), visuospatial functioning (2), calculation (1), mental clarity (2), and orientation (1). Slow gait was diagnosed based on established MCR criteria (1 SD below age/sex adjusted means). We used linear mixed effects models (LME) for continuous, and generalized LME for binary longitudinal cognitive outcomes, to examine how various definitions of SCC at baseline predict cognitive changes in older adults with slow gait, adjusting for covariates including age, sex, education, race/ethnicity, and depression. We report the interaction terms between SCC and time. The final sample included 43 participants (13%) who met slow gait criteria at baseline. Result Among participants with slow gait, the CCI‐40 total score was associated with decline on neuropsychological measures of attention/processing speed (β = ‐0.09, p = 0.05), verbal fluency (β = 0.03, p = 0.01), and a global dementia rating scale (β = 0.04, p = 0.02). Item‐by‐item analysis revealed a subset of items that were significantly associated with decline in key neuropsychological domains, including executive functioning, language, and memory. Conclusion Our findings suggest that attention to SCC assessment in older adults with slow gait may provide key insight into individuals at greatest risk for cognitive decline. SCC in MCR may be best operationalized through comprehensive assessment across broad cognitive domains. Future work will develop a brief SCC screen optimized to predict cognitive decline in this population.
... Although lifestyle-related interventions (eg, targeting physical activity, sedentary behavior, diet, or sleep) can be effective and implemented along the entire continuum of dementia [9,[12][13][14], preventive approaches should focus on healthy middle-aged and older adults, and preclinical stages of dementia including adults at-risk (eg, adults with subjective cognitive decline [SCD], mild cognitive impairment [MCI], or with the motoric cognitive risk syndrome [MCR]) [9,[15][16][17][18][19][20] to avoid that cognitive impairment and neurodegenerative changes of the central nervous system become too serious which, in turn, might negatively influence adherence and increase the cost of the implementation of the intervention. At-risk groups for dementia comprise, among others, adults with SCD who have a self-reported or informant-reported worsening of cognitive performance (especially memory) but normal performance on specific clinical cognitive tests [21,22], adults with MCI who have objective cognitive deficits determined by a clinical cognitive test battery [23][24][25], and adults with MCR who have subjective cognitive complaints and a slow gait speed [17,20,[26][27][28]. SCD, MCI, and MCR are preclinical stages of dementia that are unrelated to an acute event, do not interfere with activities of daily living, and thus allow the individual to live independently [17,20,21,[24][25][26][27]. ...
... At-risk groups for dementia comprise, among others, adults with SCD who have a self-reported or informant-reported worsening of cognitive performance (especially memory) but normal performance on specific clinical cognitive tests [21,22], adults with MCI who have objective cognitive deficits determined by a clinical cognitive test battery [23][24][25], and adults with MCR who have subjective cognitive complaints and a slow gait speed [17,20,[26][27][28]. SCD, MCI, and MCR are preclinical stages of dementia that are unrelated to an acute event, do not interfere with activities of daily living, and thus allow the individual to live independently [17,20,21,[24][25][26][27]. Current estimates suggest that worldwide 315 million individuals aged 50 years or older are in a preclinical stage of dementia [29] emphasizing the pressing need to develop and implement appropriate intervention strategies to prevent or at least delay the onset of dementia in the general and at-risk populations. ...
Preprint
UNSTRUCTURED A healthy lifestyle can be an important prerequisite to prevent or at least delay the onset of dementia. However, the large number of physically inactive adults underscores the need for developing and evaluating intervention approaches aimed at improving adherence to a physically active lifestyle. In this regard, hybrid physical training, which usually combines center- and home-based physical exercise sessions and has proven successful in rehabilitative settings, could offer a promising approach to preserving cognitive health in the aging population. Despite its potential, research in this area is limited as hybrid physical training interventions have been underused in promoting healthy cognitive aging. Furthermore, the absence of a universally accepted definition or a classification framework for hybrid physical training interventions poses a challenge to future progress in this direction. To address this gap, this article informs the reader about hybrid physical training by providing a definition and classification approach of different types, discussing their specific advantages and disadvantages, and offering recommendations for future research. Specifically, we focus on applying digital technologies to deliver home-based exercises, as their use holds significant potential for reaching underserved and marginalized groups, such as older adults with mobility impairments living in rural areas.
... Although lifestyle-related interventions (eg, targeting physical activity, sedentary behavior, diet, or sleep) can be effective and implemented along the entire continuum of dementia [9,[12][13][14], preventive approaches should focus on healthy middle-aged and older adults, and preclinical stages of dementia including adults at-risk (eg, adults with subjective cognitive decline [SCD], mild cognitive impairment [MCI], or with the motoric cognitive risk syndrome [MCR]) [9,[15][16][17][18][19][20] to avoid that cognitive impairment and neurodegenerative changes of the central nervous system become too serious which, in turn, might negatively influence adherence and increase the cost of the implementation of the intervention. At-risk groups for dementia comprise, among others, adults with SCD who have a self-reported or informant-reported worsening of cognitive performance (especially memory) but normal performance on specific clinical cognitive tests [21,22], adults with MCI who have objective cognitive deficits determined by a clinical cognitive test battery [23][24][25], and adults with MCR who have subjective cognitive complaints and a slow gait speed [17,20,[26][27][28]. SCD, MCI, and MCR are preclinical stages of dementia that are unrelated to an acute event, do not interfere with activities of daily living, and thus allow the individual to live independently [17,20,21,[24][25][26][27]. ...
... At-risk groups for dementia comprise, among others, adults with SCD who have a self-reported or informant-reported worsening of cognitive performance (especially memory) but normal performance on specific clinical cognitive tests [21,22], adults with MCI who have objective cognitive deficits determined by a clinical cognitive test battery [23][24][25], and adults with MCR who have subjective cognitive complaints and a slow gait speed [17,20,[26][27][28]. SCD, MCI, and MCR are preclinical stages of dementia that are unrelated to an acute event, do not interfere with activities of daily living, and thus allow the individual to live independently [17,20,21,[24][25][26][27]. Current estimates suggest that worldwide 315 million individuals aged 50 years or older are in a preclinical stage of dementia [29] emphasizing the pressing need to develop and implement appropriate intervention strategies to prevent or at least delay the onset of dementia in the general and at-risk populations. ...
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A healthy lifestyle can be an important prerequisite to prevent or at least delay the onset of dementia. However, the large number of physically inactive adults underscores the need for developing and evaluating intervention approaches aimed at improving adherence to a physically active lifestyle. In this regard, hybrid physical training, which usually combines center-and home-based physical exercise sessions and has proven successful in rehabilitative settings, could offer a promising approach to preserving cognitive health in the aging population. Despite its potential, research in this area is limited as hybrid physical training interventions have been underused in promoting healthy cognitive aging. Furthermore, the absence of a universally accepted definition or a classification framework for hybrid physical training interventions poses a challenge to future progress in this direction. To address this gap, this article informs the reader about hybrid physical training by providing a definition and classification approach of different types, discussing their specific advantages and disadvantages, and offering recommendations for future research. Specifically, we focus on applying digital technologies to deliver home-based exercises, as their use holds significant potential for reaching underserved and marginalized groups, such as older adults with mobility impairments living in rural areas.
... Participants randomized to the intervention arm received the 5-Cog battery: PMIS 25,26 , Motoric Cognitive Risk Syndrome (MCR) diagnosis 47,48 and Symbol-Match 2,49 . While other cognitive tests are available 3,5,9,14 , they were not suitable for our purpose as they did not integrate into the EMR with recommended follow-up actions based on test outcomes. ...
... Symbol-Match requires participants to match symbols to corresponding numbers 49 . MCR and Symbol-Match tap into non-memory domains [47][48][49] . ...
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Dementia is often undiagnosed in primary care, and even when diagnosed, untreated. The 5-Cog paradigm, a brief, culturally adept, cognitive detection tool paired with a clinical decision support may reduce barriers to improving dementia diagnosis and care. We performed a randomized controlled trial in primary care patients experiencing health disparities (racial/ethnic minorities and socioeconomically disadvantaged). Older adults with cognitive concerns were assigned in a 1:1 ratio to the 5-Cog paradigm or control. Primary outcome was improved dementia care actions defined as any of the following endpoints within 90 days: new mild cognitive impairment syndrome or dementia diagnoses as well as investigations, medications or specialist referrals ordered for cognitive indications. Groups were compared using intention-to-treat principles with multivariable logistic regression. Overall, 1,201 patients (mean age 72.8 years, 72% women and 94% Black, Hispanic or Latino) were enrolled and 599 were assigned to 5-Cog and 602 to the control. The 5-Cog paradigm demonstrated threefold odds of improvement in dementia care actions over control (odds ratio 3.43, 95% confidence interval 2.32-5.07). No serious intervention-related adverse events were reported. The 5-Cog paradigm improved diagnosis and management in patients with cognitive concerns and provides evidence to promote practice change to improve dementia care actions in primary care. ClinicalTrials.gov: NCT03816644. Dementia is common among older adults, with one in nine older Ameri-cans affected, and rates are increasing worldwide 1. Despite the availability of many cognitive assessment tools, dementia is often undiagnosed; over half of dementia cases are missed in primary care 2-4. This problem is more prevalent among older Black and Hispanic people than older white people in the United States 4-6. Barriers to implementing routine cognitive detection and related care actions in primary care are at the level of the instrument, patient, clinician and healthcare system 2,3,5,7-11. Many cognitive detection or diagnosis approaches are long, expensive, require clinicians to administer, need specialized equipment or do not provide guidance on the next steps following normal or abnormal results 5,9,12-14. Over a quarter of US residents belong to an ethnic minority such as Black, Hispanic or Latino (https://www.census.gov/quickfacts/ fact/table/US/PST045223), but many cognitive tests were developed in white populations 6,15. These tests, therefore, do not adequately account for cultural differences or health inequity 5,6,15. For example, we reported
... Cognitive complaints were assessed either as an abnormal rating of current memory alone or combined with self-or informant-reported cognitive decline of the participant. 11 Gait speed was assessed as the time to walk a measured distance in a clear space. Slow gait was defined as one standard deviation below age-and sex-adjusted means specific to each study. ...
... Slow gait was defined as one standard deviation below age-and sex-adjusted means specific to each study. 11 Figure 1. ...
Article
Background Identifying risk factors associated with the Motoric Cognitive Risk (MCR) syndrome (a pre‐dementia syndrome) can assist in developing risk reduction strategies and interventions to delay progression to dementia. Tailored interventions require comparisons of high‐ and middle‐income countries to determine if the same or different risk factors should be targeted. We examined risk factors associated with MCR in seven Health and Retirement Studies with harmonized measures. Methods Data from adults aged ≥65 years ( n = 20,036, mean age 71.2(SD 6.2)—80.1(SD 4.1)) from the U.S. Health and Retirement Study, English Longitudinal Study of Aging, Survey of Health, Aging and Retirement in Europe, China Health and Retirement Longitudinal Study, Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India, Mexican Health and Aging Study, and Brazilian Longitudinal Study of Aging was included. MCR was defined as the presence of cognitive complaints and slow gait (no mobility disability and dementia). Associations of demographic [education], medical [hypertension, diabetes, heart disease, obesity, stroke, Parkinson's, falls], psychological [depressive symptoms, psychiatric problems], sensorimotor [grip strength, hearing], and behavioral factors [smoking, sedentariness, sleep], with prevalent MCR were examined using age‐ and sex‐adjusted logistic regression models. A meta‐analysis was performed to compare risk factors for MCR in high‐ versus middle‐income countries. Results Except for depressive symptoms and weak grip strength, different risk factor clusters were associated with individual studies. Poor sleep, hearing, weak grip, and multiple falls emerged as novel associations with MCR. When grouped by income, some risk factors (i.e., education) were associated with MCR in high‐ and middle‐income countries. Others (i.e., obesity) were specific to high‐income countries. Conclusions This cross‐sectional, cross‐national study identified new, shared, and specific risk factors associated with MCR in high‐ and middle‐income countries, providing insights to develop public health approaches and interventions to forestall the onset of dementia in those with MCR.
... Participants randomized to the intervention arm received the 5-Cog battery: PMIS 25,26 , Motoric Cognitive Risk Syndrome (MCR) diagnosis 47,48 and Symbol-Match 2,49 . While other cognitive tests are available 3,5,9,14 , they were not suitable for our purpose as they did not integrate into the EMR with recommended follow-up actions based on test outcomes. ...
... Symbol-Match requires participants to match symbols to corresponding numbers 49 . MCR and Symbol-Match tap into non-memory domains [47][48][49] . ...
Article
Full-text available
Dementia is often undiagnosed in primary care, and even when diagnosed, untreated. The 5-Cog paradigm, a brief, culturally adept, cognitive detection tool paired with a clinical decision support may reduce barriers to improving dementia diagnosis and care. We performed a randomized controlled trial in primary care patients experiencing health disparities (racial/ethnic minorities and socioeconomically disadvantaged). Older adults with cognitive concerns were assigned in a 1:1 ratio to the 5-Cog paradigm or control. Primary outcome was improved dementia care actions defined as any of the following endpoints within 90 days: new mild cognitive impairment syndrome or dementia diagnoses as well as investigations, medications or specialist referrals ordered for cognitive indications. Groups were compared using intention-to-treat principles with multivariable logistic regression. Overall, 1,201 patients (mean age 72.8 years, 72% women and 94% Black, Hispanic or Latino) were enrolled and 599 were assigned to 5-Cog and 602 to the control. The 5-Cog paradigm demonstrated threefold odds of improvement in dementia care actions over control (odds ratio 3.43, 95% confidence interval 2.32–5.07). No serious intervention-related adverse events were reported. The 5-Cog paradigm improved diagnosis and management in patients with cognitive concerns and provides evidence to promote practice change to improve dementia care actions in primary care. ClinicalTrials.gov: NCT03816644.
... Therefore, in an attempt to prevent cognitive impairment, it is necessary to consider not only cognitive resources but also the physical domain of an older individual. Indeed, there are a few potentially preventable predementia syndromes in which physical performance deterioration co-occurs with subtle or mild cognitive changes, such as cognitive frailty, motoric cognitive risk syndrome (MCR), and physio-cognitive decline syndrome (PCDS) [39][40][41][42][43][44]. Cognitive frailty is characterized by the simultaneous presence of physical frailty and mild cognitive impairment (MCI) that does not fulfil the diagnostic criteria for dementia [39]. ...
... There is strong evidence showing that a slower gait speed is associated with the later development of cognitive decline or dementia [92,[94][95][96]98,100]. Several longitudinal studies found that simultaneous slow gait speed and subjective cognitive complaints predict the development of cognitive impairment and dementia [40,45,104,119]. In addition, Rosso et al. [97] found that a gradual decline in gait speed over a 14-year follow-up predicted incident MCI or dementia in initially healthy older adults. ...
Article
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Dementia is a major cause of poor quality of life, disability, and mortality in old age. According to the geroscience paradigm, the mechanisms that drive the aging process are also involved in the pathogenesis of chronic degenerative diseases, including dementia. The dissection of such mechanisms is therefore instrumental in providing biological targets for interventions and new sources for biomarkers. Within the geroscience paradigm, several biomarkers have been discovered that can be measured in blood and that allow early identification of individuals at risk of cognitive impairment. Examples of such markers include inflammatory biomolecules, markers of neuroaxonal damage, extracellular vesicles, and DNA methylation. Furthermore, gait speed, measured at a usual and fast pace and as part of a dual task, has been shown to detect individuals at risk of future dementia. Here, we provide an overview of available biomarkers that may be used to gauge the risk of cognitive impairment in apparently healthy older adults. Further research should establish which combination of biomarkers possesses the highest predictive accuracy toward incident dementia. The implementation of currently available markers may allow the identification of a large share of at-risk individuals in whom preventive interventions should be implemented to maintain or increase cognitive reserves, thereby reducing the risk of progression to dementia.
... Motoric cognitive risk syndrome (MCR), a predementia syndrome, is characterized by subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability. 1 MCR affects 9% (range: 2% to 27%) of individuals worldwide. [2][3][4] There is growing evidence that MCR is an early risk factor for dementia, [4][5][6][7] and approximately 30% of individuals with MCR may progress to dementia. 8,9 Additionally, studies have revealed a significant association of MCR with increased risks of falls, disability, and mortality. ...
... Motoric cognitive risk syndrome (MCR), a predementia syndrome, is characterized by subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability. 1 MCR affects 9% (range: 2% to 27%) of individuals worldwide. [2][3][4] There is growing evidence that MCR is an early risk factor for dementia, [4][5][6][7] and approximately 30% of individuals with MCR may progress to dementia. 8,9 Additionally, studies have revealed a significant association of MCR with increased risks of falls, disability, and mortality. ...
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INTRODUCTION Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. However, whether social frailty (integrated from multiple social factors) is associated with MCR is still unclear. METHODS We included 4657 individuals without MCR at Round 1 of the NHATS as the discovery sample, and 3075 newly recruited individuals from Round 5 of the NHATS as the independent validation sample. Social frailty was assessed by five social items. MCR was defined as the presence of both subjective cognitive complaints and slow gait speed in individuals without dementia or mobility disability. RESULTS Compared with normal individuals, those with social frailty had higher risk of incident MCR (hazard ratio [HR]: 1.57, 95% confidence interval [CI]: 1.34–1.84). Each additional unfavorable social item was associated with an increased risk of MCR (HR: 1.32, 95% CI: 1.22–1.43). DISCUSSION Social frailty was associated with an increased risk of incident MCR in older adults. Highlights Various associations between social factors and motoric cognitive risk syndrome (MCR) have been reported. Social frailty that integrated from multiple social factors was associated with an increased risk of incident MCR. Social frailty should be included in the early screening of individuals to identify those at higher risk of MCR.
... 4. Для диагностики синдрома моторно-когнитивного риска использовались следующие критерии: наличие преддементных нарушений по КШОПС и снижение скорости ходьбы [6]. Согласно рекомендациям Verghese J. c соавторами, низкая скорость ходьбы для диагностики синдрома моторно-когнитивного риска должна определяться как скорость ходьбы ниже на одно или более стандартное отклонение от среднего значения для оцениваемой популяции [7]. Средняя скорость ходьбы в исследуемой популяции была 0,58±0,23 м/с. ...
... В нашем исследовании частота синдрома моторно-когнитивного риска составила 16,7%, что несколько выше, чем было получено в других исследованиях, в которых она варьировала от 6% до 11% [7,9,10]. Данное различие, по-видимому, обу словлено нашим подходом к определению критерия «низкая скорость ходьбы». ...
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Introduction. Motoric cognitive risk (MCR) syndrome is a syndrome characterized by cognitive complaints or mild cognitive impairment (MCI) identified during tests and accompanied by slow gait but without dementia or autonomy decline. The concept of MCR is relatively new, and its natural course has not been sufficiently studied to date. Objective. To estimate the prevalence of MCR, factors contributing to the risk of its development and the impact on mortality. Methods. A prospective cohort Crystal study, random sample of individuals aged 65 and older. The total follow-up period was 9 years. Evaluation covered: gait speed, the Mini-Mental State Examination, chronic disease, blood pressure, lab tests. Results. To diagnose the motor cognitive risk syndrome, the value of the gait speed was used, corresponding to the 2nd and 3rd quartiles — from 0.75 to 0.4 m/s. MCR was diagnosed in 16.7%. Type 2 diabetes was associated with an increased incidence of MCR [OR (95% CI) 7.275 (1.520–34.829)]. With an increase in systolic blood pressure (SBP) for every 30 mm Hg. the probability of detecting motoric cognitive risk syndrome increases by 6 times [OR (95% CI) 5.796 (1.388–24.200)]. After adjusting for sex, age, presence of type 2 diabetes, and blood pressure level, the addition of each component of the motoric cognitive syndrome increases the risk of all-cause death over 9 years of follow-up by 35% [HR (95% CI) 1.348 (1.001–1.814)]. Conclusion. The main chronic diseases associated with the development of MCR were type 2 diabetes and arterial hypertension. MCR is associated with a higher risk of mortality in older age, even with a slight decrease in gait speed. Gait speed within the 2nd and 3rd quarter may be a component of motoric cognitive risk syndrome.
... The assessment of the (objective) MCR is based on the measurement of gait speed (e.g., 4m-walk test) and a question about the cognitive status of the participant (e.g., "Do you feel you have more problems with memory than most others?") (see for more details 6 ). However, to the present date, the prevalence of MCR in older adults ranging between 2.4%-33.3% ...
Article
The motoric cognitive risk syndrome (MCR) is a novel and clinically relevant pre-dementia syndrome indicating a higher dementia risk (e.g., for Alzheimer's disease). Given that MCR prevalence is unknown in Germany, we conducted a cross-sectional study, in which 208 participants from Germany aged 50 and 82 years answered an online survey including questions to assess subjective MCR (sMCR). The adjusted sMCR prevalence was 25.3%. Adults with sMCR reported more diseases and showed negative associations with physical activity, sedentary behavior, and sleep, suggesting that lifestyle modifications can play a significant role in MCR prevention. Further research is required to complement our preliminary findings on sMCR prevalence in Germany.
... The prevalence of MCR in our sample is comparable to the pooled rate of 9.7% (ranging from 2% to 16%) reported in a meta-analysis of 22 studies among older adults aged ≥ 60 years and studies of Chinese older adults (prevalence range: 4%-12.7%). [28][29][30] Variation in the prevalence may be resulted from differences in the sociodemographic characteristics of the study populations, the study settings, and the methods used to define the slow gait. Higher prevalence of MCR was found in young-old females compared to males, but such sex difference was not observed in old-old adults. ...
... The primary outcome was MCR defined using the Verghese criteria as previously applied in the CCMA cohort. 11 MCR was diagnosed if all the following criteria were met: slow gait speed, measured at normal pace on an instrumented walkway (GAITRite, CIR systems, Havertown, PA); cognitive complaints collected using standardized questionnaires; and no dementia diagnosis. Gait and cognitive complaints were assessed at each visit. ...
Article
Background and objectives: There is growing evidence that sleep disturbances are associated with cognitive impairment risk, but their association with the incidence of motoric cognitive risk syndrome (MCR)-a predementia syndrome characterized by slow gait speed and cognitive complaints-is unknown. We aimed to examine the association of sleep disturbances, overall and specific subtypes, with (1) incident and (2) prevalent MCR in older adults. Methods: Community-residing adults aged 65 years and older without dementia were recruited from population lists and included in Central Control of Mobility and Aging, a prospective cohort study, in Albert Einstein College of Medicine, Bronx, NY. We included participants with available data for MCR and Pittsburgh Sleep Quality Index (PSQI). MCR was defined as cognitive complaints reported on standardized questionnaires and slow gait speed as recorded on an electronic treadmill and was adjudicated at baseline and annual follow-up visits. Participants were divided into "good" sleepers (≤5) and "poor" sleepers (>5) based on an established PSQI cut score. Among participants without MCR at baseline, Cox proportional hazard models adjusted for (1) age, sex, and education and (2) further for comorbidity index, Geriatric Depression Scale score, and global cognitive score were used to examine the association of baseline sleep disturbances with MCR incidence. Association between poor sleep quality and prevalent MCR at baseline in the overall population was explored using multivariate logistic regression analysis. Results: 445 participants were included (56.9% women, mean age: 75.9 years [75.3; 76.5]). In MCR-free participants at baseline (n = 403), 36 developed incident MCR over a mean follow-up of 2.9 years. Poor sleepers had a higher risk of incident MCR (HR = 2.7 [1.2; 5.2]) compared with good sleepers, but this association was not significant after adjustment for depressive symptoms (adjusted hazard ratio [aHR] = 1.6 [0.7-3.4]). Among the 7 PSQI components, only sleep-related daytime dysfunction (excessive sleepiness and lower enthusiasm) showed a significant risk of MCR in fully adjusted models (aHR = 3.3 [1.5-7.4]). Prevalent MCR was not associated with poor sleep quality (OR [95% CI] = 1.1 [0.5-2.3]). Discussion: Overall poor sleep quality was associated with incident MCR, but not with prevalent MCR. Specifically, older adults with sleep-related daytime dysfunction are at increased risk of developing MCR. Further studies are needed to validate mechanisms of this relationship.
... Motoric cognitive risk syndrome (MCR) is defined as a condition profile that combines a reduced walking speed and subjective memory complaints (SMC). It is a known indicator of an elevated risk of incident dementia [1,2]. A number of meta-analyses and longitudinal studies have demonstrated a correlation between MCR and the incidence of dementia [3][4][5]. ...
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The purpose of this study was to examine whether motoric cognitive risk syndrome (MCR) is associated with various indicators of independent living among community-dwelling older adults in Japan. The study design was a cross-sectional study, and the participants were 107 community-dwelling older adults (mean age 79 ± 7 years) who were living independently. The participants were administered the Questionnaire for Medical Checkup of Old-Old (QMCOO) as an indicator of health status and the Japan Science and Technology Agency Index of Competence (JST-IC) as an indicator of higher levels of functioning capacity, among others. In addition, we assessed physical frailty (J-CHS), sarcopenia (AWGS2019), and MCR (slow gait + subjective memory complaints), which are predictors of adverse events in the elderly. Multiple regression analysis with QMCOO as the response variable showed that MCR (p = 0.01, β: 0.25) and physical frailty (p < 0.01, β: 0.43) were significantly associated. In addition, analysis with JST-IC as the response variable showed that MCR (p = 0.03, β: −0.20), physical frailty (p = 0.01, β: −0.24) and age (p = 0.02, β: −0.21) were significantly associated. In conclusion, MCR was found to be similarly associated with QMCOO and JST-IC as physical frailty. It is expected that the MCR will be used as an initial screening tool to identify signs of risk in community-dwelling older people, as it is easy to diagnose.
... Further, MCR has been linked with increased rates of dementia and, while gait impairment may precede clinical cognitive impairment 3 , MCR is a better predictor than either of its key individual components (cognitive complaints or slow gait) alone 1 . Previous studies have found that people with MCR are at a two-to three-fold higher risk of developing dementia 1,2,4 . MCR is easy to diagnose and identify older adults at risk for dementia in the general population, providing high clinical utility. ...
Article
Background Motoric Cognitive Risk (MCR) syndrome, a pre-dementia syndrome characterized by cognitive complaints and slow gait, may have an underlying vascular etiology. Elevated blood levels of homocysteine, a known vascular risk factor, have been linked to physical and cognitive decline in older adults, though the relationship with MCR is unknown. We aimed to identify the association between homocysteine and MCR risk. Methods We examined the association between baseline homocysteine levels and incident MCR using Cox proportional hazard models in 1,826 community-dwelling older adults (55% female) from two cohorts (Einstein Aging Study [EAS] and Quebec Longitudinal Study on Nutrition and Successful Aging [NuAge]). We calculated hazard ratios (HR) with 95% confidence intervals (CI), for each cohort as well as stratified by sex and vascular disease/risk factors. Results Median follow-up time was 2.2 years in EAS and 3.0 years in NuAge. Individuals with elevated baseline homocysteine levels (> 14 µmol/L) had a significantly higher risk of incident MCR compared to those with normal levels in NuAge (HR 1.41, 95% CI = 1.01-1.97, p = .04), after adjusting for covariates. Our exploratory stratified analyses found that these associations were significant only in men with vascular disease/risk factors. Conclusions Higher blood homocysteine levels are associated with increased risk of developing MCR in older adults, particularly in men with vascular disease or vascular risk factors.
... It is a pre-dementia and disability state combining objective slow walking speed and subjective memory complaints (SMCs). A worldwide epidemiological investigation, gathering data from 22 different cohorts across 17 nations, revealed a combined prevalence rate of 9.7%, with observed variations ranging from 2 to 16% among the cohorts [3]. Recent multicenter studies indicated that MCR is a motoric-based pre-dementia syndrome [4], and also a risk prediction of Vascular Dementia and Alzheimer Disease (AD) [5,6]. ...
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Background Motor cognitive risk syndrome (MCR) represents a critical pre-dementia and disability state characterized by a combination of objectively measured slow walking speed and subjective memory complaints (SMCs). This study aims to identify risk factors for MCR and investigate the relationship between plasma levels of 8-hydroxy-2’-deoxyguanosine (8-OHdG) and MCR among Chinese community-dwelling elderly populations. Methods A total of 1312 participants were involved in this study based on the data of the Rugao Longevity and Aging Study (RuLAS). The MCR was characterized by SMCs and slow walking speed. The SCCs were defined as a positive answer to the question ‘Do you feel you have more problems with memory than most?’ in a 15-item Geriatric Depression Scale. Slow walking speed was determined by one standard deviation or more below the mean value of the patient’s age and gender group. The plasma of 8-OHdG were measured by a technician in the biochemistry laboratory of the Rugao People’s Hospital during the morning of the survey. Results The prevalence of MCR was found to be 7.9%. After adjusting for covariates, significant associations with MCR were observed in older age (OR 1.057; p = 0.018), history of cerebrovascular disease (OR 2.155; p = 0.010), and elevated 8-OHdG levels (OR 1.007; p = 0.003). Conclusions This study indicated the elevated plasma 8-OHdG is significantly associated with increased MCR risk in the elderly, suggesting its potential as a biomarker for early detection and intervention in MCR. This finding underscores the importance of monitoring oxidative DNA damage markers in predicting cognitive and motor function declines, offering new avenues for research and preventive strategies in aging populations.
... Several previous studies demonstrate older adults with slower gait speed were at higher risk of accelerated cognitive decline and incident mild cognitive impairment (MCI) or dementia [2,3]. A multi-national epidemiological study revealed that motoric cognitive risk syndrome accompanied by cognitive complaints and slower gait speed (MCR-S) increased the risk of dementia, which affects about 10% in older adults [4]. Gait variability, the fluctuation of a gait measure from one step to the next, was also strongly associated with the risk of cognitive decline, MCI, and dementia [5][6][7]. ...
Article
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Background High gait variability is associated with neurodegeneration and cognitive impairments and is predictive of cognitive impairment and dementia. The objective of this study was to identify cortical or subcortical structures of the brain shared by gait variability measured using a body-worn tri-axial accelerometer (TAA) and cognitive function. Methods This study is a part of a larger population-based cohort study on cognitive aging and dementia. The study included 207 participants without dementia, with a mean age of 72.6, and 45.4% of them are females. We conducted standardized diagnostic interview including a detailed medical history, physical and neurological examinations, and laboratory tests for cognitive impairment. We obtained gait variability during walking using a body-worn TAA along and measured cortical thickness and subcortical volume from brain magnetic resonance (MR) images. We cross-sectionally investigated the cortical and subcortical neural structures associated with gait variability and the shared neural substrates of gait variability and cognitive function. Results Higher gait variability was associated with the lower cognitive function and thinner cortical gray matter but not smaller subcortical structures. Among the clusters exhibiting correlations with gait variability, one that included the inferior temporal, entorhinal, parahippocampal, fusiform, and lingual regions in the left hemisphere was also associated with global cognitive and verbal memory function. Mediation analysis results revealed that the cluster’s cortical thickness played a mediating role in the association between gait variability and cognitive function. Conclusion Gait variability and cognitive function may share neural substrates, specifically in regions related to memory and visuospatial navigation.
... At the same time, the degree of gait disturbances especially in dual tasks was proportional with the severity of WMHs in MRI brain as well as with the severity of cognitive impairment as measured by the MoCA scale. These results are in accordance with the studies of Rosario and colleagues [30] as well as Verghese and colleagues [31] who identified the poor performance of gait parameters in patients with VCI during the early stages of the disease. They also got to as far as the introduction of the terminology motoric cognitive risk syndrome which describes gait abnormalities preceding the cognitive impairment. ...
Article
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Background Motoric cognitive risk (MCR) syndrome is characterized by slow gait speed and subjective cognitive complaints (SCC) and increases the risk of dementia and mortality. Objective This study aimed to examine the clinical risk factors and prevalence of MCR in community-dwelling older adults, with the goal of developing and validating a nomogram model for developing prevention strategies against MCR. Methods We enrolled community-dwelling participants aged 60–85 years at Guangwai Community Health Service Center between November 2023 and January 2024. A total of 1,315 older adults who met the criteria were randomly divided into a training set (n = 920) and a validation set (n = 395). By using univariate and stepwise logistic regression analysis in the training set, the MCR nomogram prediction model was developed. The area under the receiver operator characteristic curve (AUC), calibration plots, and Hosmer-Lemeshow goodness of fit test were used to evaluate the nomogram model’s predictive performance, while decision curve analysis (DCA) was used to evaluate the model’s clinical utility. Results Education, physical exercise, hyperlipoidemia, osteoarthritis, depression, and Time Up and Go (TUG) test time were identified as independent risk factors and were included to develop a nomogram model. The model exhibited high accuracy with AUC values of 0.909 and 0.908 for the training and validation sets, respectively. Calibration curves confirmed the model’s reliability, and DCA highlighted its clinical utility. Conclusion This study constructs a nomogram model for MCR with high predictive accuracy, which provides a reference for large-scale early identification and screening of high-risk groups for MCR.
Article
Background Motoric cognitive risk syndrome (MCRS) is a pre-dementia syndrome of growing interest, yet it remains understudied in Latin America with a significant lack of information on the interaction between its risk factors and race. Objective To estimate the prevalence of MCRS among older adults in Brazil, investigate its association with various clinical and sociodemographic variables, and explore the potential of effect modification by race. Methods This cross-sectional, population-based study was conducted among community-dwelling older adults in Brazil, with data collected between 2015 and 2016. The diagnosis of MCRS was established following the standard recommended by the original study that first described it. We used Poisson regression models to analyze the association between MCRS and a list of 21 variables identified from a systematic review. Results A total of 4677 participants aged 60 years and older were included. The prevalence of MCRS in the Brazilian population of older adults was 4.34% (95% CI: 3.20%–5.48%). Higher levels of education and physical activity showed protective associations with MCRS, while depression and stroke demonstrated risk associations. A significant cross-over interaction between race and depression regarding MCRS was observed, such that the association of depression with MCRS was approximately three times higher among White individuals than Black individuals. Conclusions Our results challenge previous estimates that Latin America is the region with the highest prevalence of MCRS among older adults and signal the need for further studies to better investigate the modification of effect of the association between depression and MCRS by race.
Article
Age-related hearing loss (ARHL) and impaired gait both independently heighten the risk of accidental falls among older adults. However, the combined impact of these factors remains unclear. We analyzed the data of 786 community-dwelling Japanese older adults. Hearing was evaluated at frequencies of 1.0 and 4.0 kHz, with participants categorized into ARHL (> 25 dB) and non-ARHL groups. Gait was also assessed, defining slow gait (SG) as speeds one standard deviation below the age- and sex-specific mean. Participants were divided into four groups based on their ARHL and SG statuses and were monitored annually for 8 years to track falls and related injuries. Throughout the follow-up, incidents included 328 single falls (9.6/100 person-years), 117 multiple falls (2.8/100 person-years), 249 minor injuries from falls (6.7/100 person-years), and 55 fractures due to falls (1.3/100 person-years). Cox proportional hazard regression models showed that participants without ARHL but with SG faced a significantly increased risk of frequent falls. Furthermore, ARHL combined with SG significantly raised the risk of both single and frequent falls, and increased the incidence of both minor and severe fall-related injuries, including fractures. In contrast, no significant association was found between ARHL alone and fall-related incidents. These findings suggest that the previously reported risk associated with hearing loss in fall incidents predominantly relates to gait impairment. The co-occurrence of ARHL and SG significantly escalates the risk of falls and related injuries, highlighting the critical need for routine gait monitoring.
Article
This study investigates whether older adults diagnosed with the apathy, gait impairment, and executive dysfunction (AGED) triad, frequently associated with cerebrovascular disease and confounded with depression, have earlier dementia onset. We followed 322 community-dwelling older individuals (mean age 72.0 ± 6.4 years; 58.3% women) free of dementia at baseline for up to 9 years. The AGED triad was identified when gait slowness (< 1 m/s), apathy (assessed by Geriatric Depression Scale-3A with ≥ 2 items), and executive dysfunction (assessed by the 75th percentile of Trail Making Test-part B by age range) were simultaneously present. Incident dementia was diagnosed using the clinical dementia rating scale. Over the 9-year follow-up (mean 45.1 ± 28.6 months), 44 participants (13.6%) converted to dementia. Sixteen participants (5.0%) were diagnosed with AGED triad + and showed a significantly higher risk of earlier conversion to dementia compared with AGED triad- (hazard ratio = 5.08, 95%CI 2.16–11.97; p = 0.0001), as well as to those with only one AGED factor or fewer AGED factors. Hypertension and diabetes were 2 and 3 times more prevalent, respectively, in individuals with AGED triad + . These findings suggest that the AGED triad serves as a simplified and effective behavioral marker for accelerated progression to dementia.
Article
Aufrechtes Stehen und Gehen sind bei Gesundheit so selbstverständliche Fähigkeiten, dass sie nebenbei gelingen. Im Fall von Erkrankungen verdeutlicht sich die Komplexität der Haltungskontrolle. Dieser Beitrag zeigt, welche Aspekte für Gleichgewicht und Gang wichtig sind. Das Verständnis dafür, was im Einzelfall gestört ist, bildet die Voraussetzung für eine gezielte und erfolgreiche Therapie.
Article
Background: Gait impairment is observed in patients with small vessel disease (SVD); however, the association between gait function and long-term outcome remains unclear. Objectives: This study aimed to clarify the predictive value of gait function on incident dementia, survival and functional outcome. Methods: Data were derived from a Japanese cohort of patients with SVD. This study included 522 participants who underwent 3-m timed up and go test (TUG), and gait speed, TUG time, was divided into tertiles. Magnetic resonance imaging was used to evaluate severity of white matter hyperintensities, lacunes, and medial temporal atrophy. Primary outcome was dementia. All-cause death and functional outcome by modified Rankin scale at the last visit was also evaluated. Results: The median age was 71 years, and median TUG time was 9.91 s. During follow-up period of 4.8 years, 32 cases of dementia occurred. Cox proportional hazard analysis revealed that slow gait speed (TUG time > 10.88 s) was associated with a significantly higher risk of incident dementia than fast (TUG time < 9.03) and middle (TUG time, 9.04-10.87 s) speeds after adjusting risk factors, Mini-Mental State Examination, SVD severity and brain atrophy (adjusted hazard ratio, 2.73; 95% confidence interval, 1.16-6.42, p = 0.022). Slow speed was also associated with mortality and poor functional outcome compared with other speeds (adjusted odds ratio, 4.19; 95% confidence interval 1.92-9.18, p < 0.001). Conclusions: Gait function was associated with incident dementia, mortality and poor functional outcome independently of cognitive function, brain atrophy, and SVD severity.
Article
Background: Little is known about the associations of hearing loss, hippocampal volume, and motoric cognitive risk syndrome (MCR) in older adults. Objective: We aimed to investigate the associations of hearing loss with MCR and hippocampal volume; and the interaction of hearing loss with hippocampal volume on MCR. Methods: This population-based cross-sectional study included 2,540 dementia-free participants (age≥60 years; 56.5% women) in the baseline examination of the Multimodal Interventions to Delay Dementia and Disability in rural China. Data were collected through face-to-face interviews, clinical examination, and laboratory tests. Hearing function was assessed using pure tone audiometry test. In the subsample (n = 661), hippocampal volume was assessed on structural magnetic resonance images. Data were analyzed with logistic regression models. Results: In the total sample, MCR was diagnosed in 246 persons (9.7%). High-frequency hearing loss was significantly associated with an increased likelihood of MCR and slow gait. In the subsample, the restricted cubic spline plots indicated an inverted U-shaped nonlinear relationship between high-frequency hearing performance and hippocampal volume. Moreover, greater hippocampal volume was significantly associated with a deduced likelihood of MCR and subjective cognitive decline (SCD). In addition, there were statistical interactions of high-frequency hearing loss with hippocampal volume on MCR and slow gait (p for interaction < 0.05), such that the associations were statistically significant only among participants free of high-frequency hearing loss. Conclusions: High-frequency hearing loss was associated with an increased likelihood of MCR in older adults. The hippocampus might play a part in the relationship of high-frequency hearing loss and MCR.
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The motoric cognitive risk syndrome (MCR) is a syndrome characterized by subjective memory complaints and slow walking speeds that can identify older adults at increased risk for developing Alzheimer’s disease or a related dementia (ADRD). To date, the feasibility of community-based physical activity (PA) programs for improving outcomes in MCR have yet to be examined. To address this knowledge gap, we conducted a translational randomized controlled trial (RCT) comparing 24-weeks of PA to a healthy aging education (HE) control intervention delivered within the infrastructure of an urban senior center in Greater Boston (clincaltrials.gov identifier: NCT03750682). An existing senior center employee was trained to administer the multimodal group-based PA program that included moderate-intensity aerobic walking, strength, flexibility and balance training. A total of 79 older adults attended the senior center for a screening visit, of whom 29 met the MCR criteria and 25 were randomized to PA or HE (mean age: 74.4 ± 7 years; BMI: 32.4 ± 7 kg/m²; 85% female; 3MSE score: 92.4 ± 7; gait speed: 0.52 ± 0.1 m/s; SPPB score 4.8 ± 1.9). Due to the Covid-19 pandemic the study was stopped prematurely. Participants could successfully adhere to the study interventions (overall attendance rate: PA: 69% vs. HE:70% at study termination). Participants also successfully completed baseline and follow-up study assessments that included a computerized cognitive testing battery and objective tests of physical performance and functional exercise capacity. No study-related adverse events occurred. Notable trends for improved cognitive performance, gait speed and 6-min walk distance were exhibited in PA compared to HE. Our study provides important preliminary information to aid the design of larger-scale RCTs of PA that may help to preserve the independence of vulnerable older adults at high risk for ADRD in community-based settings.
Article
Introduction: Motoric Cognitive Risk (MCR) and amnestic Mild Cognitive Impairment (aMCI) syndromes are each reliable predictors of incident Alzheimer's Disease (AD) - but MCR may be a stronger predictor of vascular dementia (VaD) than AD. This study contrasted cortical and hippocampal atrophy patterns in MCR and aMCI. Methods: Cross-sectional data from 733 older adults without dementia or disability (M Age= 73.6; 45% women) in the multi-country MCR consortium were examined. MCR was defined as presence of slow gait and cognitive concerns. Amnestic MCI was defined as poor episodic memory performance and cognitive concerns. Cortical thickness and hippocampal volumes were quantified from structural MRIs. Multivariate and univariate general linear models were used to examine associations between cortical thickness and hippocampal volume in MCR and aMCI separately, adjusting for age, sex, education, total intracranial volume, white matter lesions, and study site. Results: The prevalence of MCR and aMCI was 7.64% and 12.96%, respectively. MCR was associated with widespread cortical atrophy - including prefrontal, insular, cingulate, motor, parietal, and temporal atrophy. aMCI was associated with hippocampal atrophy. Conclusion: Distinct patterns of atrophy were associated with MCR and aMCI. A distributed pattern of cortical atrophy - that is more consistent with VaD or mixed dementia- was observed in MCR. A more restricted pattern of atrophy - that is more consistent with AD - was observed in aMCI. The biological underpinnings of MCR and aMCI likely differ and may require tailored interventions.
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Motoric cognitive risk syndrome (MCR) is a pre‐dementia syndrome characterized by subjective memory complaints and gait impairments that may be related to lower prefrontal cortex (PFC) function. Acute bouts of aerobic exercise are shown to improve PFC function, however, the acute effects of exercise on PFC oxygenation have not yet been examined in MCR. This study aims to characterize the PFC oxygenation responses during acute exercise in older adults with MCR. Nineteen older adults with MCR performed a submaximal cycling exercise protocol. Functional near‐infrared spectroscopy (fNIRS) is used to measure concentrations of oxygenated (OxyHb) and deoxygenated (DeoxyHb) hemoglobin from the PFC. There is a trend for increased OxyHb concentrations and decreased DeooxyHb concentrations during exercise. Exercise also induced significant increases in ratings of perceived exertion (RPEs) and heart rate. A significant, positive correlation between PFC OxyHb and RPEs during the cycling exercise are also observed. The findings reveal that PFC oxygenation increases during exercise in an intensity‐dependent manner and the subjective perception of exertion is associated with the magnitude of PFC oxygenation. These results suggest that moderate‐intensity cycling exercise may have beneficial effects on increasing cerebral blood flow in the PFC of older adults with MCR.
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Objective The objective of this study was to develop a risk prediction model for motoric cognitive risk syndrome (MCR) in older adults. Methods Participants were selected from the 2015 China Health and Retirement Longitudinal Study database and randomly assigned to the training group and the validation group, with proportions of 70% and 30%, respectively. LASSO regression analysis was used to screen the predictors. Then, identified predictors were included in multivariate logistic regression analysis and used to construct model nomogram. The performance of the model was evaluated by area under the receiver operating characteristic (ROC) curve (AUC), calibration curves and decision curve analysis (DCA). Results 528 out of 3962 participants (13.3%) developed MCR. Multivariate logistic regression analysis showed that weakness, chronic pain, limb dysfunction score, visual acuity score and Five-Times-Sit-To-Stand test were predictors of MCR in older adults. Using these factors, a nomogram model was constructed. The AUC values for the training and validation sets of the predictive model were 0.735 (95% CI = 0.708–0.763) and 0.745 (95% CI = 0.705–0.785), respectively. Conclusion The nomogram constructed in this study is a useful tool for assessing the risk of MCR in older adults, which can help clinicians identify individuals at high risk.
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Background This study aimed to assess whether integrating handgrip strength (HGS) into the concept of motoric cognitive risk (MCR) would enhance its predictive validity for incident dementia and all-cause mortality. Methods A cohort of 5, 899 adults from the Health and Retirement Study underwent assessments of gait speed, subjective cognitive complaints, and HGS were involved. Over a 10-year follow-up, biennial cognitive tests and mortality data were collected. Cox proportional hazard analyses assessed the predictive power of MCR alone and MCR plus HGS for incident dementia and all-cause mortality. Results Patients with MCR and impaired HGS (MCR-HGS) showed the highest adjusted hazard ratios (AHR) for dementia (2.33; 95% CI, 1.49–3.65) and mortality (1.52; 95% CI, 1.07–2.17). Even patients with MCR and normal HGS (MCR-non-HGS) experienced a 1.77-fold increased risk of incident dementia; however, this association was not significant when adjusted for socioeconomic status, lifestyle factors, and medical conditions. Nevertheless, all MCR groups demonstrated increased risks of all-cause mortality. The inclusion of HGS in the MCR models significantly improved predictive discrimination for both incident dementia and all-cause mortality, as indicated by improvements in the C-statistic, integrated discrimination improvement (IDI) and net reclassification indices (NRI). Conclusion Our study underscores the incremental predictive value of adding HGS to the MCR concept for estimating risks of adverse health outcomes among older adults. A modified MCR, incorporating HGS, could serve as an effective screening tool during national health examinations for identifying individuals at risk of dementia and mortality.
Article
Background: A screening tool sensitive to Alzheimer's disease (AD) risk factors, such as amyloid-β (Aβ) deposition, and subtle cognitive changes, best elicited by complex everyday tasks, is needed. Objective: To determine if grocery shopping performance could differentiate older adults at elevated risk of developing AD (OAer), older adults at low risk of developing AD (OAlr), and young adults (YA), and if amount of Aβ deposition could predict grocery shopping performance in older adults (OA). Methods: Twenty-one OAer (78±5 years), 33 OAlr (78±5 years), and 28 YA (31±3 years) performed four grocery shopping trials, with the best and worst performances analyzed. Measures included trial time, number of correct items, number of grocery note fixations, and number of fixations and percentage of time fixating on the correct shelving unit, correct brand, and correct shelf. Linear mixed effects models compared measures by performance rank (best, worst) and group (OAer, OAlr, YA), and estimated the effect of Aβ deposition on measures in OA. Results: Relative to their best performance, OAer and OAlr exhibited more correct shelving unit fixations and correct brand fixations during their worst performance, while YA did not. Within OA's worst performance, greater Aβ deposition was associated with a smaller percentage of time fixating on the correct shelving unit, correct shelf, and correct brand. Within OA, greater Aβ deposition was associated with more grocery note fixations. Conclusions: OA with elevated Aβ deposition may exhibit subtle working memory impairments and less efficient visual search strategies while performing a cognitively demanding everyday task.
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Objective: The objective of this study was to develop a risk prediction model for motoric cognitive risk syndrome (MCR) in older adults. Methods: Participants were selected from the 2015 China Health and Retirement Longitudinal Study database and randomly assigned to the training group and the validation group, with proportions of 70% and 30%, respectively. LASSO regression analysis was used to screen the predictors. Then, identified predictors were included in multivariate logistic regression analysis and used to construct model nomogram. The performance of the model was evaluated by area under the receiver operating characteristic (ROC) curve (AUC), calibration curves and decision curve analysis (DCA). Results: 528 out of 3962 participants (13.3%) developed MCR. Multivariate logistic regression analysis showed that weakness, chronic pain, limb dysfunction score, visual acuity score and Five-Times-Sit-To-Stand test were predictors of MCR in older adults. Using these factors, a nomogram model was constructed. The AUC values for the training and validation sets of the predictive model were 0.735 (95% CI= 0.708-0.763) and 0.745 (95% CI= 0.705-0.785), respectively. Conclusion: The nomogram constructed in this study is a useful tool for assessing the risk of MCR in older adults, which can help clinicians identify individuals at high risk.
Article
Purpose To systematically review the prevalence of motoric cognitive risk syndrome (MCR) among community-dwelling older adults and provide evidence-based support for policymakers planning health and social care policies. Method Web of Science, PubMed, and Cochrane Library databases were searched for cross-sectional, prospective cohort, or population-based longitudinal studies of community-dwelling older adults aged ≥60 years with MCR from inception of the database through December 18, 2021. Results Seventeen studies were included. Pooled prevalence of MCR was found to be 10% (95% confidence interval [8%, 12%], I ² = 98.4%). Results of a subgroup analysis revealed a combined prevalence of MCR of 8.2% in males and 9.2% in females. Pooled prevalence of MCR was 9.7% in Asia and 10.2% in other regions. Conclusion Prevalence of MCR in community-dwelling older adults is high. Our research may improve the epidemiological understanding of MCR, draw attention to older adults with MCR, and thus promote research of MCR and the formulation of relevant public health policies. With early identification and intervention of MCR, cognitive function can be improved, and the onset of dementia can be delayed or prevented. [ Journal of Gerontological Nursing, 50 (4), 16–24.]
Article
Aim We investigated the effect of lifespan cognitive reserve and its components on cognitive frailty among older adults. Methods A total of 4922 participants aged ≥65 years were recruited in 2008 and were followed up in 2011 from the Chinese Longitudinal Healthy Longevity Survey. Cognitive frailty was determined through the simultaneous presence of physical frailty (pre‐frailty or frailty) and mild cognitive impairment, excluding concurrent dementia. The assessment of physical frailty and mild cognitive impairment was based on the Fatigue, Resistence, Ambulation, Illness, Loss of weight (FRAIL) (Fatigue, Resistence, Ambulation, Illness, Loss) and Mini‐Mental State Examination scale, respectively. The lifespan cognitive reserve consisted of education attainment, occupational complexity and later‐life leisure activities. We used logistic regression models to estimate the risk of cognitive frailty associated with the lifespan cognitive reserve and its components. Results A higher level of lifespan cognitive reserve, higher educational attainment or leisure activities engagement, but not occupational complexity, were associated with lower risk of incident cognitive frailty. Furthermore, cognitive, social and physical activities were associated with lower risk of incident cognitive frailty. Conclusion Cognitive reserve, particularly educational attainment and leisure activities, can protect from cognitive frailty. This implicates that individuals should accumulate cognitive reserve in their lifespan, and older adults should actively participate in leisure activities to prevent cognitive frailty. Geriatr Gerontol Int 2024; ••: ••–•• .
Article
Background: Epidemiologic studies have indicated an association of motoric cognitive risk syndrome (MCR), a pre-dementia stage characterized by the presence of cognitive complaints and a slow gait, with increased risk of incident dementia. Objectives: We aimed to clarify this association using meta-analysis. Methods: We systematically searched the PubMed, Embase, and Web of Science databases up to December 2022 for relevant studies that investigated the association between MCR and incident all-cause dementia and Alzheimer's disease (AD). The random-effects model was used to determine a pooled-effect estimate of the association. Results: We identified seven articles that corresponded with nine cohort studies investigating the association between MCR and the risk of dementia. Pooled analysis showed that MCR was associated with a significantly increased risk of incident all-cause dementia (HR = 2.28; 95% CI: 1.90-2.73) and AD (HR = 2.05; 95% CI: 1.61-2.61). Sensitivity analysis showed that there was no evidence that individual studies influenced the pooled-effect estimate, verifying the robustness of the results. Conclusions: Our results confirm that MCR is an independent risk factor of incident all-cause dementia and AD. Future studies are needed to better understand the mechanisms underlying this association.
Article
Background Dementia is associated with individual vision impairment (VI) and hearing impairment (HI). However, little is known about their associations with motoric cognitive risk syndrome (MCR), a pre‐dementia stage. We investigated the association of VI, HI, and dual sensory impairment (DSI) with MCR and to further evaluate causal relationships using Mendelian randomization (MR) approach. Methods First, an observational study was conducted in the China Health and Retirement Longitudinal Study (CHARLS). Evaluate the cross‐sectional and longitudinal associations of VI, HI, and DSI with MCR using the logistic regression models and Cox proportional hazard models, respectively. Second, evaluate the causal association between VI and HI with MCR using MR analysis. The GWAS data was used for genetic instruments, including 88,250 of European ancestry (43,877 cases and 44,373 controls) and 504,307 with “white British” ancestry (100,234 cases and 404,073 controls), respectively; MCR information was obtained from the GWAS with 22,593 individuals. Inverse variance weighted was the primary method and sensitivity analysis was used to evaluate the robustness of MR methods. Results In the observational study, VI (HR: 1.767, 95%CI: 1.331–2.346; p < 0.001), HI (HR: 1.461, 95%CI: 1.196–1.783; p < 0.001), and DSI (HR: 1.507, 95%CI: 1.245–1.823; p < 0.001) were significantly associated with increased risk of MCR. For the MR, no causal relationship between VI (OR: 0.902, 95% CI: 0.593–1.372; p = 0.631) and HI (OR: 1.016, 95% CI: 0.989–1.043; p = 0.248) with MCR risk, which is consistent with the sensitivity analysis. Conclusion VI, HI, and DSI were significantly associated with MCR, but MR analysis failed to provide evidence of their causal relationship. Emphasized the importance of sensory impairment screening in identifying high‐risk populations for dementia.
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Background Motoric cognitive risk syndrome (MCR) is a pre-dementia symptom strongly predicting cognitive decline and dementia. Although advancements in elucidating the epidemiology of MCR, the evidence about the association between sarcopenia, sarcopenia parameters, and MCR remains scarce. Objectives The purpose of this study was to determine the associations between sarcopenia, sarcopenia parameters, and MCR among community-dwelling Chinese older adults. Methods A total of 4,184 community-dwelling older adults from the China Health and Retirement Longitudinal Study (CHARLS) in the 2011 waves were included. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria. Sarcopenia parameters included handgrip strength (HGS), height-adjusted appendicular skeletal muscle mass (ASM/Ht ² ), and five-times sit-to-stand test time (FTSSTT). MCR was defined as subjective cognitive complaints and slow gait speed without dementia or impaired mobility. The associations between sarcopenia, sarcopenia parameters, and MCR were conducted using the logistic regression model. The restricted cubic spline with four knots were performed to determine the nonlinear and linear relationships between HGS, ASM/Ht ² , FTSSTT, and MCR. Results The prevalence of MCR in wave 2011 of CHARLS was 11.2%. After adjustment for potential confounders, we found sarcopenia [odd ratio (OR) (95% CI): 1.70 (1.13 ~ 2.54), p = 0.011], lower HGS [0.97 (0.96 ~ 0.99), p = 0.001], and more FTSSTT [1.12 (1.10 ~ 1.15), p < 0.001] were significantly associated with a higher risk of MCR. There was an inverse linear dose–response between HGS and MCR ( p for overall = 0.008, p for nonlinearity =0.776). The nonlinear relationship between FTSSTT and MCR was found ( p for overall <0.001, p for nonlinearity = 0.025) with FTSSTT ≥29 s being associated with a higher risk of MCR. A dose–response relationship was not found between ASM/Ht ² and MCR ( p for overall =0.589). Conclusion Sarcopenia, lower HGS, and higher FTSSTT are associated with MCR among older adults in China, while the latter two exhibit a dose–response relationship with MCR. It is suggested that timely identification and management of sarcopenia and its parameters may help delay the progression of cognitive impairment and promote healthy aging.
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Dual tasks that involve walking and cognitive interference tests are commonly used in mobility assessments and interventions. However, factors that explain variance in dual-task performance costs are poorly understood. We, therefore, examined the moderating effects of two putative constructs, postural reserve and hazard estimate, on performance on a walking while talking paradigm. Participants were 285 non-demented older adults (mean age = 76.9 years; %female = 54.4). Postural reserve was operationalized as the presence or absence of clinical gait abnormalities. An empirical factor, based on measures of executive functions, served as a marker for hazard estimate. The moderation effects of postural reserve and hazard estimate on dual-task costs were examined via two-way interactions in a joint linear mixed effect model. Significant dual-task costs were observed for gait speed (95% CI = 30.814 to 39.121) and cognitive accuracy (95% CI = 6.568 to 13.607). High hazard estimate had a protective effect against decline in gait speed (95% CI = -8.372 to -0.151) and cognitive accuracy (95% CI = -8.372 to -0.680). Poor postural reserve was associated with reduced decline in gait speed (95% CI = -9.611 to -0.702) but did not moderate the decline in cognitive accuracy (95% CI = -3.016 to 4.559). Assessing postural reserve and hazard estimate can help improve mobility risk assessment procedures and interventions for individuals with cognitive and movement disorders.
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Objectives.Although apolipoprotein E (APOE) genetic variation may influence risk of gait decline and disability in aging through multiple mechanisms, a systematic examination of this relationship has been lacking. Our objective was to quantify the risk of gait decline and disability associated with the APOE ε4 allele in aging. We evaluated 627 community-dwelling adults aged 70 and older (white 67.8%) with APOE genotype and quantitative gait measurements participating in the Einstein Aging Study over a median follow-up of 3.0 years. Main outcomes were gait speed decline (cm/s/year) and incident disability. APOE ε4 allele frequency was 24.1%. Presence of APOE ε4 was not significantly associated with gait speed decline overall (p = .37) but was associated with faster gait speed decline in older men (estimate: -1.16, 95% CI: -2.31 to -0.01, p = .04). The interaction between the ε4 allele and male sex predicted gait speed decline (estimate: -1.70, 95% CI: -3.33 to -0.07, p = .04). Presence of the APOE ε4 allele was associated with increased risk of disability in older men (HR 3.72, 95% CI: 1.44-9.59, p = .007). Associations of the ε4 allele with study outcomes remained significant even after accounting for several potential confounders including vascular and cognitive status. The strength of the associations was stronger in the white subgroup. This preliminary report suggests that the APOE ε4 allele is associated with increased risk of gait speed decline and disability in older men.
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Only half of those living with Alzheimer’s disease in France are currently diagnosed, and only one patient in three is supported during the early stages of dementia. This study aims to evaluate three cognitive tests for their predictive ability to diagnose mild cognitive impairments and Alzheimer’s disease and related disorders. For people aged 65 years or over, presenting with a memory complaint, these tests can be performed easily during a preventative consultation. The EVATEM (évaluation des troubles de l’équilibre et de la mémoire (evaluation of balance and memory problems)) cohort study was designed to prospectively assess the predictive value of tests for the diagnosis of mild cognitive impairments and Alzheimer’s disease in elderly subjects aged 65 years or over. Subjects were recruited from three health examination centers that are part of the French health insurance system. If a memory complaint was identified (using a dedicated questionnaire), the five-word test, the cognitive disorders examination test and the verbal fluency test were administered during a preventative consultation. A memory consultation was performed at a University Hospital to diagnosis any potential cognitive disorder and a one-year follow-up consultation was also scheduled. We recorded 2041 cases of memory complaint at our Health Examination Centers. Cognitive tests were refused by 33.6% of people who had a memory complaint. The number of subjects sent to a University Hospital memory consultation was 832 and 74.5% of them completed this consultation. The study population therefore includes 620 subjects. Tests for the early diagnosis of a mild cognitive impairment or Alzheimer’s disease and related disorders should be used in centers dedicated to disease prevention. These should guide subjects with memory impairment to full memory consultations at hospitals and improve the access to early medical and behavioral support. Trial registration ClinicalTrials.gov:NCT01316562
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Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata).
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Background: Despite growing evidence of links between gait and cognition in aging, cognitive risk assessments that incorporate motoric signs have not been examined. We sought to validate a new Motoric Cognitive Risk (MCR) syndrome to identify individuals at high risk of developing dementia. Methods: We evaluated 997 community residing individuals aged 70 and older participating in the Einstein Aging Study over a median follow-up time of 36.9 months. MCR syndrome was defined as presence of cognitive complaints and slow gait (one standard deviation below age- and sex-specific gait speed means) in nondemented individuals. Cox models were used to evaluate the effect of MCR syndrome on the risk of developing dementia and subtypes. Results: Fifty-two participants met criteria for MCR syndrome at baseline with a prevalence of 7% (95% CI: 5-9%). Prevalence of MCR increased with age. Participants with MCR were at higher risk of developing dementia (hazard ratio [HR] adjusted for age, sex, and education: 3.27, 95% CI: 1.55-6.90) and vascular dementia (adjusted HR: 12.81, 95% CI: 4.98-32.97). The association of MCR with risk of dementia or vascular dementia remained significant even after accounting for other confounders and diagnostic overlap with "cognitive" mild cognitive impairment syndrome subtypes. Conclusions: A motor-based MCR syndrome provides a clinical approach to identify individuals at high risk for dementia, especially vascular dementia, to target for further investigations and who may benefit from preventive interventions.
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Rapid demographic ageing is a growing public health issue in many low- and middle-income countries (LAMICs). Mild cognitive impairment (MCI) is a construct frequently used to define groups of people who may be at risk of developing dementia, crucial for targeting preventative interventions. However, little is known about the prevalence or impact of MCI in LAMIC settings. Data were analysed from cross-sectional surveys established by the 10/66 Dementia Research Group and carried out in Cuba, Dominican Republic, Peru, Mexico, Venezuela, Puerto Rico, China, and India on 15,376 individuals aged 65+ without dementia. Standardised assessments of mental and physical health, and cognitive function were carried out including informant interviews. An algorithm was developed to define Mayo Clinic amnestic MCI (aMCI). Disability (12-item World Health Organization disability assessment schedule [WHODAS]) and informant-reported neuropsychiatric symptoms (neuropsychiatric inventory [NPI-Q]) were measured. After adjustment, aMCI was associated with disability, anxiety, apathy, and irritability (but not depression); between-country heterogeneity in these associations was only significant for disability. The crude prevalence of aMCI ranged from 0.8% in China to 4.3% in India. Country differences changed little (range 0.6%-4.6%) after standardization for age, gender, and education level. In pooled estimates, aMCI was modestly associated with male gender and fewer assets but was not associated with age or education. There was no significant between-country variation in these demographic associations. An algorithm-derived diagnosis of aMCI showed few sociodemographic associations but was consistently associated with higher disability and neuropsychiatric symptoms in addition to showing substantial variation in prevalence across LAMIC populations. Longitudinal data are needed to confirm findings-in particular, to investigate the predictive validity of aMCI in these settings and risk/protective factors for progression to dementia; however, the large number affected has important implications in these rapidly ageing settings.
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In clinical and research settings, the Mini-Mental State Examination (MMSE) is commonly used to measure cognitive change over time. The interpretation of changes in MMSE is often difficult. They do not necessarily result from true clinical change. Their interpretation requires comparison with normative data for change. However, MMSE change norms are lacking for long intervals. To examine what is a reliable change in MMSE for long follow-up periods commonly used in clinic. To provide normative data for change. A sample of 119 cognitively normal individuals, aged 75 years and over, who participated in the Leipzig Longitudinal Study of the Aged (LEILA 75+). All participants were tested six times at 1.5 year intervals with the MMSE over a mean period of 7.1 years. Reliable change indices were computed for a common confidence interval (90%). In repeated assessments with 1.5 year intervals, a change in MMSE of at least 2-4 points indicated a reliable change at the 90% confidence level. Small changes in MMSE can be interpreted only with great uncertainty. They have a reasonable probability of being caused by measurement error, regression to the mean or practice.
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Background and aims: To examine whether older people with markedly dual task-related decreases in walking speed - a marker of disturbed higher-level gait control and falls - have a larger discrepancy between real and imagined Timed Up and Go (TUG) test times than those with less dual task-related decreases in walking speed. Methods: Based on a prospective cross-sectional study, 193 older adults (mean age 77.4 ± 5.9 years; 44.0 % women) referred to and consecutively assessed at a Swiss university clinic for a gait analysis to assess either gait disorders, fall risk or memory disorders were included. For all participants, walking speed was measured using a GAITRite(®) electronic walkway system during usual walking at self-selected pace and while dual tasking (i.e., usual walking and simultaneously counting backwards out loud). In addition, real Timed Up and Go (TUGr) and imagined Timed Up and Go (TUGi) (i.e., the time needed to imagine performing the TUGr) times were measured with a stopwatch. Differences between both walking conditions for walking speed (delta of walking speed) and both TUG conditions (delta of TUG time) were calculated. Age, gender, height, total number drugs taken per day, daily use of psychoactive drugs, use of walking aid, history of falls, Mini-Mental State Examination score, near vision and education level were used as covariables in this analysis. Results: Participants were categorized into two groups based on being in the lowest tertian (i.e., <33 %: group A corresponding to participants undisturbed by dual task) or not (i.e., ≥33 %: group B corresponding to participants disturbed by dual task) of the delta of walking speed. In both groups, TUGr and TUGi times were similar (P = .169 and P = .839). In both groups, TUGi was faster than TUGr (P < .001). Delta of TUG time was significantly greater in group B compared to group A (P < .001). After adjustment for all covariables, only the delta of walking speed was significantly associated with the delta of TUG time (P = <.001). Stepwise backward regression showed that polypharmacy (P = .017) and delta of walking speed (P = <.001) were associated with an increase in delta of TUG time, whereas an increased MMSE score (P = .030) was associated with a decrease in delta of TUG time. Conclusion: These findings show that a large discrepancy between real and imagined TUG performances is significantly correlated with a decrease in walking speed while dual tasking, and thus may also be a surrogate marker of disturbed higher-level gait control. The quickly and easily performed TUG tests may represent a feasible, practical screening tool for early detection of higher-level gait disorders in older adults.
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Background: There have been no reports on the prevalence of dementia among the old-old people in Japan. Methods: We studied the old-old population in Kurihara, northern Japan. Analysis 1 of Participants 1 (n=590) was performed to evaluate the prevalence of dementia and dementing diseases by intensive evaluation including MRI. Analysis 2 aimed to determine a good indicator for detecting 'suspected dementia condition' based on the Long-Term Care Insurance index. Analysis 3 of Participants 2 (n=3915) aimed to estimate the prevalence of 'suspected dementia condition'. Results: In Analysis 1, 73 people (12.4%) were diagnosed with dementia. The most common cause was Alzheimer's disease with cerebrovascular disease. In Analysis 2, level I of the Impairment Level of Dementia was found to be a good indicator of 'suspected dementia condition'. In Analysis 3, the overall estimated prevalence of 'suspected dementia condition' was 23.6%. In men, the ratio increased gradually from 75 to 87 years old to about 20%, increased to 40% at the age of 88 and became stable thereafter. In contrast, in women, the ratio increased from 75 to 95+ years old, reaching about 70%. Conclusions: The prevalence was higher than that reported previously. There was a difference between the sexes: an 'age-related' increase occurred in men and an 'ageing-related' increase in women. Alzheimer's disease with cerebrovascular disease was the most common cause, which coincided with the previous findings of individuals aged 65 years and older; however, the ratio of mixed dementia was greater.
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Background: The association between gait speed and cognition has been reported; however, there is limited knowledge about the temporal associations between gait slowing and cognitive decline among cognitively normal individuals. Methods: The Mayo Clinic Study of Aging is a population-based study of Olmsted County, Minnesota, United States, residents aged 70-89 years. This analysis included 1,478 cognitively normal participants who were evaluated every 15 months with a nurse visit, neurologic evaluation, and neuropsychological testing. The neuropsychological battery used nine tests to compute domain-specific (memory, language, executive function, and visuospatial skills) and global cognitive z-scores. Timed gait speed (m/s) was assessed over 25 feet (7.6 meters) at a usual pace. Using mixed models, we examined baseline gait speed (continuous and in quartiles) as a predictor of cognitive decline and baseline cognition as a predictor of gait speed changes controlling for demographics and medical conditions. Results: Cross-sectionally, faster gait speed was associated with better performance in memory, executive function, and global cognition. Both cognitive scores and gait speed declined over time. A faster gait speed at baseline was associated with less cognitive decline across all domain-specific and global scores. These results were slightly attenuated after excluding persons with incident mild cognitive impairment or dementia. By contrast, baseline cognition was not associated with changes in gait speed. Conclusions: Our study suggests that slow gait precedes cognitive decline. Gait speed may be useful as a reliable, easily attainable, and noninvasive risk factor for cognitive decline.
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Until recently, clinicians and researchers have performed gait assessments and cognitive assessments separately when evaluating older adults, but increasing evidence from clinical practice, epidemiological studies, and clinical trials shows that gait and cognition are interrelated in older adults. Quantifiable alterations in gait in older adults are associated with falls, dementia, and disability. At the same time, emerging evidence indicates that early disturbances in cognitive processes such as attention, executive function, and working memory are associated with slower gait and gait instability during single- and dual-task testing and that these cognitive disturbances assist in the prediction of future mobility loss, falls, and progression to dementia. This article reviews the importance of the interrelationship between gait and cognition in aging and presents evidence that gait assessments can provide a window into the understanding of cognitive function and dysfunction and fall risk in older people in clinical practice. To this end, the benefits of dual-task gait assessments (e.g., walking while performing an attention-demanding task) as a marker of fall risk are summarized. A potential complementary approach for reducing the risk of falls by improving certain aspects of cognition through nonpharmacological and pharmacological treatments is also presented. Untangling the relationship between early gait disturbances and early cognitive changes may be helpful in identifying older adults at risk of experiencing mobility decline, falls, and progression to dementia.