10/12/2023 0 Comments Moca score interpretation malingering![]() 1088, Xumin Road, Xujing Town, Qingpu District, Shanghai, China 271, Nurture Road, Jinze Town, Qingpu District, Shanghai, China From October 2017 to September 2018, participants were recruited through on-site visit of 7 communities in Shanghai, China, including: The original study was a cross-sectional survey in community setting aiming to assess the prevalence, risk factors and cerebral small vessel imaging characteristics of elder population with cognitive impairment. Here, we present a cross-sectional study assessing cognitive functions using 7 different tools and discuss the practical value of these instruments. There have rarely been studies concerning the applicability of different cognitive assessment tools in Asia, especially in Chinese population. It is of great importance that a practical and accurate instrument is used in assessing cognitive functions, especially in a short screening process when dedicated evaluation are often impossible. Moreover, few cognitive assessment tools have been validated in Asia. In addition, it is very common that older adults with dementia have high percentage of illiteracy and low educational background, which affect the effectiveness of cognitive screening tools. There lacks consensus on which cognitive assessment instrument should be used in various clinical conditions. Many screening tools have been developed, often with overlapped cognitive domains and different methods to assess them. In practical situations, cognitive testing is more often accomplished using brief cognitive screens such as MMSE or MoCA. Routine screening for cognitive impairment is often hampered by time constraints, poor knowledge of screening instruments and lack of consensus as to which screening tool is best.ĭetailed clinical diagnosis of CI is a complex process. The applicability and accuracy of instruments for screening and diagnosis of CI may be an important cause. For example, China has the largest population of patients with dementia, however there lacks accurate estimation of prevalence and incidence, impeding the effective care. It has been reported that a large proportion of older adults with dementia remain undiagnosed. Īlthough the importance of CI has been well recognized, rarely an accurate estimation of CI prevalence is available in a clinical study. Early recognition of cognitive problems may provide opportunities to address possible reversible causes, or refer for further evaluation. Cognitive impairment (CI) is closely associated with higher risk of developing dementia. Aging was the most important risk factor of dementia and senile cognitive impairment has emerged as one of the major public health challenges. MMSE may still present the most applicable tools for quick screen of cognitive functions, especially when environmental conditions may interfere with participants’ attention.ĭementia affect may lead to compromised capability of independent living, causing health concerns as well as great economic burden in society. MoCA and Isaacs test of Verbal Fluency (VF) score had correlation with most the other scores, while MMSE only significantly associated with VF and MoCA. Analysis of “abnormal” test scores showed that MMSE had the highest percentage of valid data (98.8%). Using adjusted MMSE, 39.6% of participants were identified with CI, while the percentage was 87.2% when adjusted Montreal Cognitive Assessment (MoCA) with cutoff of 26 was used. Age and education showed significant association with cognitive test scores. Resultsġ72 participants with relatively low education levels were included. In addition, Pearson’s correlation test was used to detect association between different test scores. Other cognitive function scores were compared between participants with and without CI. Mini-Mental State Examination (MMSE) score adjusted according to the correlation coefficients was used to detect CI with a cutoff of 24. Multivariate linear regressions were performed to test correlations between demographic characteristics, including gender, age, education, and marital status, with cognitive test scores. The participants underwent tests with 7 cognitive function screening instruments. In a cross-sectional study from October 2017 to September 2018 in 7 communities in Shanghai, China, elder ( ≧60) residential volunteers with no history of major cardiovascular diseases, cancers and other comorbidities known to affect cognitive functions were recruited. The aim is to assess the consistence and applicability of different CI screening tools. Screening for cognitive impairment (CI) is often hampered by lack of consensus as to which screening instrument to use.
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