Association between Perceived Stress and Motoric Cognitive Risk Syndrome in an Elderly Population: Rugao Longevity and Aging Study.

INTRODUCTION: Previous studies have indicated a correlation between perceived stress and cognitive decline. However, it remains unknown whether high levels of perceived stress can result in motoric cognitive risk (MCR) syndrome. This study investigated the relationship between perceived stress and MCR in a community-based population. METHODS: The study cohort comprised 852 elderly individuals from the Rugao Longitudinal Aging Cohort. Perceived stress was assessed using the 10-item Perceived Stress Scale (PSS-10), while MCR was defined as the coexistence of subjective memory complaints (SMCs) and slow gait speed. RESULTS: The average age of the study participants is 79.84 ± 4.34 years. The mean score of PSS-10 among participants is 10.32 (range = 0-33; [SD] = 5.71), with a median score of 10.00 (6.00, 14.00). The prevalence of MCR is 9.3%. In the logistic regression analysis, for each 1-SD (5.71) increase in the global PSS-10 score, the risk of MCR increased by 40% (95% CI 1.09-1.80). Additionally, in the aspect of two components of MCR, with a 1-SD increase (5.71) in the global PSS-10 score, there was a 50% (95% CI 1.29-1.75) increase in the risk of SMCs and a 27% (95% CI 1.04-1.55) increase in the risk of slow gait speed. In terms of specific walking speed, there was a reverse correlation between the global PSS-10 score and walking speed (r = -0.14, p < 0.001). CONCLUSIONS: This study provided preliminary evidence that high levels of perceived stress were associated with the risk of MCR in a community-dwelling population.

Associations of visual, hearing, and dual sensory impairment with motoric cognitive risk syndrome: Observational and Mendelian randomization analyses.

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.

Motoric Cognitive Risk Syndrome and the Risk of Incident Dementia: A Systematic Review and Meta-Analysis of Cohort Studies.

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.

Motoric Cognitive Risk Syndrome as a Predictor of Adverse Health Outcomes: A Systematic Review and Meta-Analysis.

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.

Association between pain interference and motoric cognitive risk syndrome in older adults: a population-based cohort study.

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.

Development and validation of a risk prediction model for motoric cognitive risk syndrome in older adults.

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.

Social frailty and the incidence of motoric cognitive risk syndrome in older adults.

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.

Intraindividual difference in estimated GFR by creatinine and cystatin C, cognitive trajectories and motoric cognitive risk syndrome.

BACKGROUND: Intraindividual differences between estimated glomerular filtration rate (eGFR) based on cystatin C (eGFRcys) and creatinine (eGFRcr) can convey important clinical information regarding the health status. However, the clinical implications of these differences (eGFRdiff) for risk of cognitive decline and motoric cognitive risk syndrome (MCR) remains unclear. We aimed to investigate the longitudinal associations of eGFRdiff with cognitive trajectories and incident MCR. METHODS: Based on the China Health and Retirement Longitudinal Study, we identified two study sub-cohorts: one for cognitive trajectory follow-up (6423 participants; years:2011-2018) and another for incident MCR follow-up (2477 participants; years:2011-2015). The eGFRdiff was defined as eGFRcys minus eGFRcr. Adjusted ordinal and binary logistics regression models were separately used to assess the associations of eGFRdiff with cognitive trajectories and incident MCR. We also performed discordance analyses for eGFRdiff vs eGFRcys, eGFRcr or eGFR based on both creatinine and cystatin C (eGFRcys-cr). RESULTS: In the first sub-cohort, four distinct 7-year cognitive trajectories were identified. Each 1-SD higher eGFRdiff (value for eGFRcys minus eGFRcr) was associated with a lower risk of poorer cognitive trajectories (OR: 0.909, 95% CI: 0.877-0.942). In the second sub-cohort, 121 participants developed incident MCR after a 4-year follow-up. Each 1-SD higher eGFRdiff (value for eGFRcys minus eGFRcr) was linked with a 25.3% (95%CI: 16.6%-33.2%) decreased risk for MCR. The above associations persisted in individuals with normal kidney function. Additionally, the risk for cognitive decline and incident MCR was more strongly associated with eGFRcys than eGFRcr and eGFRcys-cr. For the discordance analyses, 'discordantly high eGFRdiff/low eGFR' group, but not 'discordantly low eGFRdiff/high eGFR', exhibited a significantly lower risk of poorer cognitive trajectories and MCR compared to the concordant group. CONCLUSIONS: A large negative difference between eGFRcys and eGFRcr (eGFRcys lower than eGFRcr) was associated with higher risk of cognitive decline and incident MCR. The eGFRdiff could capture additional valuable risk information beyond eGFRcys, eGFRcr, and eGFRcys-cr.

Association of multimorbidity patterns with motoric cognitive risk syndrome among older adults: Evidence from a China longitudinal study.

OBJECTIVES: Motoric cognitive risk syndrome (MCR), a pre-dementia syndrome, is characterized by slow gait and subjective cognitive complaints among older adults. This study assessed the relationship between multimorbidity, its patterns, and MCR. METHODS: Data for this study were obtained from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study. Participants who were aged 60 years and older and had complete data at baseline as well as complete data about MCR at follow-up were selected. Patients without MCR at baseline were selected for further analyses. Longitudinal associations between multimorbidity, its patterns, and MCR were examined using a Cox proportional hazards model. Multimorbidity patterns were classified using latent class analysis. RESULTS: A total of 4923 respondents were included at baseline, 43.47% of whom had multimorbidity. Additionally, the prevalence of MCR at baseline was 12.61%. After adjusting for covariates, multimorbidity was positively associated with MCR (hazard ratio [HR] = 1.33, 95% confidence interval [CI] = 1.06-1.68). A higher number of multimorbidity was also significantly associated with an increased risk of developing MCR (HR = 1.10, 95% CI = 1.02-1.19). Three multimorbidity patterns were selected: relatively healthy pattern, respiratory pattern, and cardiovascular pattern. Older adults with the cardiovascular pattern were 1.57 times more likely to develop MCR than those with the relatively healthy pattern (HR = 1.57, 95% CI = 1.16-2.13). There was no significant difference between the relatively healthy pattern and the respiratory pattern (HR = 1.31, 95% CI = 0.91-1.92). CONCLUSIONS: MCR is highly prevalent among older Chinese adults. MCR may be exacerbated by multimorbidity. For older adults with multimorbidity (especially cardiovascular multimorbidity), attention should be paid to MCR to achieve early detection, diagnosis, and treatment.

Social isolation, loneliness, and motoric cognitive risk syndrome among older adults in China: A longitudinal study.

OBJECTIVES: This study aimed to investigate the associations between social isolation, loneliness, and motoric cognitive risk syndrome (MCR) among older adults in China. METHODS: Data were obtained from the China Health and Retirement Longitudinal Study in the 2011 and 2015 waves. Social isolation and loneliness were measured by an index and an item, and MCR was defined as subjective cognitive complaints and slow gait. Multivariable logistic regression analyses were performed to examine the associations between social isolation, loneliness, and MCR by gender. RESULTS: Of 3251 eligible participants, the incidence of MCR was 10.03%. Social isolation and loneliness were not significantly associated with incident MCR in men. Loneliness was positively associated with incident MCR in women (OR: 1.45, 95% CI: 1.05, 2.01), while social isolation was not. CONCLUSIONS: Loneliness is associated with incident MCR among female older adults in China. More attention is advised to be paid to loneliness among female older adults, to hold promise for the prevention and reduction of MCR.

Association between positive control in self-perceptions of aging and motoric cognitive risk syndrome among Chinese community-dwelling older adults: a cross-sectional study.

BACKGROUND: Self-perceptions of aging (SPA) are important psychosocial factors that lead to a wide range of outcomes including dementia. However, the relationships between positive SPA and motoric cognitive risk syndrome (MCR) which is a predementia syndrome are still unknown. This study aimed to reveal the associations of positive control and aging awareness of SPA with the risk of MCR and its components. METHODS: A cross-sectional design was conducted among 1137 Chinese community-dwelling older adults. Positive control and aging awareness were defined by two dimensions of SPA (Positive control and Timeline chronic). MCR was determined according to definition. Multivariable logistic regression was used to examine the associations. RESULTS: The overall prevalence of MCR was 11.5% (mean age = 71.62 ± 5.22). After adjusting for depression, anxiety, and cognitive function, positive control was associated with reduced risk of MCR (OR = 0.624, 95% CI 0.402-0.969, P = 0.036), subjective cognitive complaints (SCC) (OR = 0.687, 95% CI 0.492-0.959, P = 0.027), and gait speed (GS) (OR = 0.377, 95% CI 0.197-0.720, P = 0.003), respectively. Aging awareness was merely related to increased risk of MCR (OR = 1.386, 95% CI 1.062-1.810, P = 0.016). CONCLUSIONS: This study highlights the crucial associations of positive control and aging awareness with MCR and its components. Our results emphasize that positive belief in control and adaptive aging awareness might be promising targets for preventing MCR.

Prevalence of motoric cognitive risk syndrome among older adults: a systematic review and meta-analysis.

OBJECTIVE: Motoric cognitive risk syndrome (MCR) is a newly proposed pre-dementia syndrome. Several studies on the prevalence of MCR have been published; however, the data vary across studies with different epidemiological characteristics. Thus, this study aimed to quantitatively analyse the overall prevalence and associated epidemiological characteristics of MCR among older adults aged ≥ 60 years. METHODS: The Cochrane Library, PubMed, Web of Science, CINAHL, Embase, Scopus, PsycInfo, China National Knowledge Infrastructure, Weipu Database, China Biology Medicine disc and Wanfang Database were searched from their inception to January 2022. A modified Newcastle-Ottawa Scale evaluated the risk of bias. Statistical heterogeneity among the included studies was analysed using Cochran's Q and I2 tests. A random effect model calculated pooled prevalence owing to study heterogeneity. Begg's and Egger's tests were used to assess the publication bias. Additionally, subgroup analysis and meta-regression were performed based on different epidemiological characteristics to determine heterogeneity sources. RESULTS: Sixty-two studies comprising 187,558 samples were obtained. The pooled MCR prevalence was 9.0% (95% confidence interval: 8.3-9.8). A higher MCR prevalence was observed in females, older adults with a low educational level, depression and cardiovascular risk factors, South American populations, and studies with small sample sizes and cross-section designs. Furthermore, subjective cognitive complaint using scale score and gait speed using instrument gait showed higher MCR prevalence. CONCLUSION: MCR is common in older adults, and various epidemiological characteristics influence its prevalence. Thus, preventive measures are required for older adults with higher MCR prevalence.

Association between depression and motoric cognitive risk syndrome among community-dwelling older adults in China: A 4-year prospective cohort study.

BACKGROUND AND PURPOSE: Depression can lead to a wide range of adverse health outcomes, including dementia. However, evidence supporting the relationship between depression and motoric cognitive risk syndrome (MCR), a pre-dementia syndrome, remains lacking. This study aimed to examine the association between depression and MCR among community-dwelling Chinese older adults. METHODS: Data were taken from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Depression was defined by a Center for Epidemiological Studies Depression Scale (CES-D) score ≥10. MCR was defined as subjective cognitive complaints and objective slow gait speed. Multivariate logistic regression analyses were conducted to examine the cross-sectional and longitudinal associations between depression and MCR at baseline and a 4-year follow-up period for the sample population and gender groups. RESULTS: The prevalence of MCR was higher in participants with depression than in those without depression at baseline (12.2% vs. 8.9%; p = 0.001). Participants with depression at baseline had a higher 4-year incidence of MCR than those without depression (14.8% vs. 8.7%; p < 0.001). Both cross-sectional analysis (odds ratio [OR] 1.41, 95% confidence interval [CI] 1.13-1.75) and prospective analysis (OR 1.95, 95% CI 1.56-2.44) demonstrated that depression was significantly associated with MCR. These associations were consistent across different gender groups and stronger among female individuals. CONCLUSIONS: Depression is an independent risk factor for MCR among community-dwelling Chinese older adults. Special attention should be paid to the care of older people with depression to reduce the occurrence of MCR and even dementia.

The prevalence and associated factors of motoric cognitive risk syndrome in multiple ethnic middle-aged to older adults in west China: a cross-sectional study.

BACKGROUND AND PURPOSE: Motoric cognitive risk (MCR) syndrome characterized by subjective cognitive complaints and slow gait has been proposed and validated as a pre-dementia syndrome. The overall and specific ethnic prevalence of MCR and the associated factors are poorly understood in middle-aged to older community-dwelling residents in west China. METHODS: The present study included 6091 samples from the prospective cohort study, West China Health and Aging Trend (WCHAT). Multidimensional factors of demography, lifestyle, social support, anthropometrics and body components, and clinical status were investigated and analyzed by univariate and multivariate logistic regression models. Lasso regression and K-fold cross-validation were conducted to construct the most predictive model with fitted factors. RESULTS: The overall prevalence of MCR was 9.74%, and ethnically the prevalence was 14.25% in Tibetan, 11.03% in Yi, 10.72% in Han, 5.18% in Uighur and 4.55% in Qiang, respectively. In the adjusted models, the positively associated risk factors included diabetes mellitus (odds ratio [OR] = 1.51, p = 0.007), osteoarthritis (OR = 1.50, p = 0.002), depression (OR = 1.36, p = 0.005), poor sleep (OR = 1.21, p = 0.045), comorbidity (OR = 1.49, p = 0.001) and falls in the last 12 months (OR = 1.34, p = 0.031). Of note, every 1-unit increase of value in stroke was associated with an approximate 3-fold higher risk of having MCR, whilst in high-density lipoprotein with a 30% lower risk of MCR,respectively. CONCLUSIONS: Profiles of MCR from the aspects of ethnicity and the presenium stage need further exploration. It is a promising strategy to apply MCR as a primary prevention tool to prevent dementia.

Longitudinal associations between falls and future risk of cognitive decline, the Motoric Cognitive Risk syndrome and dementia: the Einstein Ageing Study.

BACKGROUND: falls share risk factors with cognitive decline but whether falls predict cognitive decline, pre-dementia syndromes and dementia is poorly understood. OBJECTIVES: this study aimed to examine if falls are associated with cognitive decline in specific domains and the risk of Motoric Cognitive Risk (MCR) syndrome and dementia. DESIGN: cross-sectional study. METHODS: in older people (age 80.6 ± 5.3 years) free of dementia at baseline, the number of falls (none, one or multiple) during the year before enrolment and the first year of follow-up (exposure) were recorded. Decline in specific cognitive functions (global cognition, episodic verbal memory, verbal fluency, working memory, response inhibition and processing speed-attention), incident MCR and incident dementia were outcome measures. Linear mixed effects models were used to examine the associations between falls and cognitive decline, adjusting for confounders. Cox proportional hazards models were used to determine if falls predicted risk of incident MCR or dementia. RESULTS: of 522 eligible participants, 140 had a single fall and 70 had multiple falls. Multiple falls were associated with a greater decline in global cognition, episodic memory, verbal fluency and processing speed-attention compared to those with no falls (P < 0.05). Over a median follow-up of 1.0 years 36 participants developed MCR and 43 participants developed dementia. Those with multiple falls had a two-fold increased risk of MCR compared to those with no falls, but no increased risk of developing dementia. CONCLUSIONS: multiple falls may be an important marker to identify older people at greater risk of future cognitive decline and incident MCR.

Sarcopenia and motoric cognitive risk syndrome: a moderated mediation model.

BACKGROUND: Sarcopenia has been identified as a risk factor for cognitive impairment, and motoric cognitive risk syndrome (MCR) is a recently defined pre-dementia syndrome. It is not known whether they are related. We aimed to investigate the association and potential pathways between sarcopenia and MCR in the community elderly by establishing a moderated mediation model. METHODS: 846 community residents aged ≥ 60 years were recruited from May 2021 to September 2021 and had a comprehensive geriatric evaluation. The diagnosis of sarcopenia followed the criteria issued by the Asian Working Group for Sarcopenia in 2019. MCR was defined as subjective cognitive decline and slow gait. Apathy symptoms and physical activity were assessed by the Apathy Evaluation Scale (AES) and the International Physical Activity Questionnaire (IPAQ). Logistic regression and moderated mediation analyses were conducted to explore the association between the four. RESULTS: 60 (7.1%) had MCR among 846 participants. After full adjustment, sarcopenia (odds ratio [OR] = 3.81, 95% confidence interval [CI] = 1.69-8.60, P = 0.001), AES score (OR = 1.09, 95% CI = 1.04-1.14, P < 0.001), and IPAQ level (OR = 0.43, 95% CI = 0.28-0.66, P < 0.001) were associated with MCR. Apathy partially mediated the relationship between sarcopenia and MCR. Physical activity played a moderation role in the indirect pathway of the mediation model. The increase in physical activity can alleviate the indirect effect of sarcopenia on MCR. CONCLUSION: We established a moderated mediation model to uncover the underlying association mechanism of sarcopenia and MCR preliminarily. These findings suggest that attention should be paid to the management of apathy and physical activity in the context of sarcopenia to prevent early dementia actively. Further validation is needed in future longitudinal studies.

Aging metrics incorporating cognitive and physical function capture mortality risk: results from two prospective cohort studies.

BACKGROUND: Aging metrics incorporating cognitive and physical function are not fully understood, hampering their utility in research and clinical practice. This study aimed to determine the proportions of vulnerable persons identified by three existing aging metrics that incorporate cognitive and physical function and the associations of the three metrics with mortality. METHODS: We considered three existing aging metrics including the combined presence of cognitive impairment and physical frailty (CI-PF), the frailty index (FI), and the motoric cognitive risk syndrome (MCR). We operationalized them using data from the China Health and Retirement Longitudinal Study (CHARLS) and the US National Health and Nutrition Examination Survey (NHANES). Logistic regression models or Cox proportional hazards regression models, and receiver operating characteristic curves were used to examine the associations of the three metrics with mortality. RESULTS: In CHARLS, the proportions of vulnerable persons identified by CI-PF, FI, and MCR were 2.2, 16.6, and 19.6%, respectively. Each metric predicted mortality after adjustment for age and sex, with some variations in the strength of the associations (CI-PF, odds ratio (OR) (95% confidence interval (CI)) 2.87 (1.74-4.74); FI, OR (95% CI) 1.94 (1.50-2.50); MCR, OR (95% CI) 1.27 (1.00-1.62)). CI-PF and FI had additional predictive utility beyond age and sex, as demonstrated by integrated discrimination improvement and continuous net reclassification improvement (all P < 0.001). These results were replicated in NHANES. CONCLUSIONS: Despite the inherent differences in the aging metrics incorporating cognitive and physical function, they consistently capture mortality risk. The findings support the incorporation of cognitive and physical function for risk stratification in both Chinese and US persons, but call for caution when applying them in specific study settings.

Risk factors for the progression of motoric cognitive risk syndrome to dementia: Retrospective cohort analysis of two populations.

BACKGROUND AND PURPOSE: Motoric cognitive risk syndrome (MCR) is a predementia syndrome characterized by cognitive complaints and slow gait. MCR is associated with increased risk of cognitive decline and incident dementia. Predictors of transition to dementia in MCR patients are still obscure. METHODS: We examined clinical, biological and lifestyle parameters related to conversion to dementia using Cox models in 439 older adults with prevalent MCR (mean age 79.87 ± 8.13 years, 70% women) from two cohorts, 268 from the Chicago-based Rush Memory and Aging project (MAP) and 171 from the Religious Orders Study (ROS), which enrolled religious clergy across the United States. RESULTS: In the pooled sample, 439 (13.2%) had prevalent MCR (268 MAP and 171 ROS). There were 140 (31.9%) incident dementia cases over a median follow up of 4.0 years. Age predicted conversion from MCR to dementia in both cohorts. Male gender was a risk factor only in ROS. In the pooled data, only higher depressive symptoms were associated with higher risk of conversion to dementia (adjusted hazard ratio [aHR] 1.13, 95% CI 1.03-1.24). Lower cognitive activity participation (aHR 0.59, 95% CI 0.44-0.79) and apolipoprotein E ε4 allele (aHR 2.57, 95% CI 1.48-4.45) predicted conversion to dementia in MAP. CONCLUSIONS: Depressive symptoms and other cohort-specific risk factors were identified as predictors of transition to dementia in individuals with MCR. These findings suggest common pathological mechanisms underlying mood, gait and cognitive declines in aging, which could help develop preventive strategies.

Do cognitive performance and physical function differ between individuals with motoric cognitive risk syndrome and those with mild cognitive impairment?

BACKGROUND: Motoric cognitive risk syndrome (MCR) is defined by slow gait speed combined with subjective cognitive complaint. MCR is a predementia syndrome, similar to mild cognitive impairment (MCI). However, there is currently no study comparing the differences in cognitive performance and physical function between these two types of cognitive impairment. Thus, the aim of this study is to compare cognitive performance and physical function in individuals with MCR versus MCI. METHODS: A total of 77 participants, free of dementia, were recruited from the neurological outpatient clinic of a medical center in Taiwan. Participants were separated into 2 groups, MCR (n = 33) and MCI (n = 44) groups, based on definition criteria from previous studies. The priority was to assign a diagnosis of MCR first, followed by MCI. Hence, "pure" MCI had no overlap with MCR syndrome. Cognitive performance, including executive function, attention, working memory, episode memory, visuospatial function, and language, were measured. Physical functions such as activities in daily living, the Tinetti Assessment Scale, and the Timed Up and Go test were also measured. RESULTS: Executive function, attention, working memory, episodic memory and language were all significantly lower in the MCR group than the MCI group. Abilities related to physical function, including those measured by the Tinetti Assessment Scale and the Timed Up and Go test, were significantly lower in the MCR group than the MCI group. CONCLUSIONS: We noted that cognitive performance and physical function were lower in MCR individuals than MCI but without MCR syndrome. However, the conclusions were based on the enrollment procedure of participants prioritizes the MCR syndrome. Because of the overlap of MCR and MCI, future studies should use different enrollment strategies to further clarify the status of these two populations.

Non-memory subjective cognitive concerns predict incident motoric cognitive risk syndrome.

BACKGROUND AND PURPOSE: Motoric cognitive risk syndrome (MCR) is a predementia condition that combines slow gait and subjective cognitive concerns. As the earliest markers of MCR are relatively unknown, the role of subjective cognitive concerns was investigated to predict incident MCR in a well-characterized prospective cohort of non-demented older adults. METHODS: Non-demented MCR-free older adults (n = 476) from the Central Control of Mobility in Aging cohort completed gait, subjective cognition and neuropsychological assessment at baseline and follow-up. Subjective concerns were analyzed via responses to 12 items from three validated measures, the Late-Life Function and Disability Instrument - Disability Component, the Activities of Daily Living Prevention Instrument and the Geriatric Depression Scale, and were independent of items utilized to diagnose MCR. Cox proportional hazard models examined the association between cognitive concerns and incident MCR. RESULTS: After 2.36 ± 1.4 years, 28 participants developed MCR. Executive functioning (adjusted hazard ratio 2.458, 95% confidence interval 1.094-5.524, P = 0.029) and mental clarity concerns (adjusted hazard ratio 3.917, 95% confidence interval 1.690-9.077, P = 0.001) were associated with incident MCR, controlling for age, sex, education and gait speed. CONCLUSIONS: Subjective cognitive concerns in non-memory cognitive domains predict incident MCR. Although most MCR studies assess cognitive concerns about memory, our findings suggest the need to broaden the scope of subjective cognitive assessment to enhance the accuracy of diagnosis and prediction of future cognitive decline.