![]() In general, the MoCA-BJ is an acceptable tool for MCI screening in both urban and rural regions of Beijing. Item analysis showed that the internal consistency was relatively low in both naming and sentence repetition tasks, and the diagnostic accuracy was similar between the MoCA-BJ and the MMSE. Regional differences disappeared when the confounding demographic variables (i.e., age and education) were controlled. Among all the seven cognitive sub-domains, delayed recall was shown to be the best index to differentiate MCI from the normal controls. The MoCA-BJ showed optimal sensitivity (68.7%) and specificity (63.9%) when the cut-off score was lowered to 22. Under the recommended cut-off score of 26, the MoCA-BJ demonstrated an excellent sensitivity of 90.4%, and a fair specificity (31.3%). Demographic and regional differences among our subjects were also taken into consideration. To analyze the effectiveness of the MoCA-BJ, we examined its psychometric properties, conducted item analyses, evaluated the sensitivity and specificity of the scale, and compared the scale with the MMSE. Twenty-one of these participants were diagnosed by experienced psychiatrists as having dementia, 115 participants were diagnosed as MCI, and 865 participants were considered to be cognitively normal. The MoCA-BJ and the Mini-Mental State Examination (MMSE) were administered to 1001 Chinese elderly community dwellers recruited from three different regions (i.e., newly developed, old down-town, and rural areas) in Beijing. CONCLUSION: LIBRA might be a useful tool to identify individuals for primary prevention interventions of dementia in midlife, and maybe in late life, but not in the oldest-old.A cross-sectional validation study was conducted in several urban and rural communities in Beijing, China, to evaluate the effectiveness of the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) as a screening tool to detect mild cognitive impairment (MCI) among Chinese older adults. In the oldest-old (80-97 y, n = 1,811), higher LIBRA scores did not increase the risk for dementia. Individuals in the intermediate- and high-risk groups had a higher risk of dementia than those in the low-risk group. RESULTS: In midlife (55-69 y, n = 3,256) and late life (70-79 y, n = 4,320), the risk for dementia increased with higher LIBRA scores. Cox regression was used to test the predictive validity of LIBRA for dementia at follow-up (mean 7.2 y, range 1-16). ![]() An individual's LIBRA index was calculated solely based on modifiable risk factors: depression, diabetes, physical activity, hypertension, obesity, smoking, hypercholesterolemia, coronary heart disease, and mild/moderate alcohol use. METHODS: 9,387 non-demented individuals were recruited from the European population-based DESCRIPA study. ![]() OBJECTIVE: We investigated the predictive validity of the LIBRA index for incident dementia in midlife, late life, and the oldest-old. Population-based normative data is essential for early screening and diagnosis.īACKGROUND: Recently, the LIfestyle for BRAin health (LIBRA) index was developed to assess an individual's prevention potential for dementia. Hence, this study helped us to understand the subtle cognitive impairments in early adulthood. Conclusion: The MoCA scores were directly correlated with educational status. It showed a statistically highly significant difference with higher values in graduates. The mean score on MoCA for graduates and primary education was 25.39 and 21.80 respectively. However, education had an impactful difference. There was no significant difference in despite of scores between the two age groups and the gender variant. Results: The composite mean score of MoCA was found as 24.12 with a standard deviation of ☓.525 giving a range of 20.595-27.645. Montreal cognitive assessment test (MoCA) was used to capture normative data on the age, gender, and education demographics. Adults were screened using The Saint Louis University Mental Status Examination (SLUMS) out of which 107 participants were recruited, ranging from 40-60 years of age. Materials and methods: The Institutional Ethics Committee (IEC) approval was obtained and a cross-sectional study was conducted in a metropolitan city in India, from November 2022 to December 2022. Objective: This study was conducted to establish normative data in the adult population of Mumbai (40-60 years of age) using the MoCA scale. ![]() Montreal Cognitive Assessment Test (MoCA) has been used as a rapid screening tool to assess cognitive function. Assessing cognitive functioning is important in determining the level of impairment. Background: Cognitive decline is among the most feared aspects of growing old.
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