Similar studies were carried out in China, however, these studies were done in single region with small sample size, thereby suffered from a lack of representation and reliablity and studies in particular to compare the MMSE and MoCA in the detection of MCI among community-based samples are rare. Furthermore, the MoCA showed differences in cognitive profile even in those performing in the normal range on the MMSE and would appear to be a useful brief tool to assess cognition in those with MCI, particularly where the ceiling effect of the MMSE is problematic. It was widely identified that MoCA was superior to MMSE in the detection of MCI as the MMSE had lower sensitivity among multiple study settings. In addressing cognitive screening tools, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are the most commonly used methods in cognitive impairment detection in both clinical and research fields. It is thus imperative to screen for MCI and clarify potential influencing factors for MCI in old population at risk in large-scale study in efforts to improve cognitive functioning and delay progression to dementia. MCI represents what researchers and clinicians regard as a “window” in which it may be possible to intervene and delay development to dementia. Moreover, it has been suggested that approximately 50% will progress to dementia in 5 years. Although 20–30% of persons with MCI will revert to normal at subsequent follow-up, there is a 5–10% annual rate of progression to dementia in those with MCI, which is much higher than the 1–2% incidence per year among the general population. Mild cognitive impairment (MCI), referring to cognitive decline from a previous level of functioning both subjectively and by objective evidence, represents the preclinical, transitional stage between healthy cognitive aging and dementia, and affects 10–15% of the population over the age of 65. Considering no effective treatment for dementia, as well as brain pathology which begins years before onset of objective cognitive symptoms and may be irreversible by the time of diagnosis, many investigators have shifted their focus toward delaying dementia in persons who are in preclinical phases of the disease. Both tools identify concordantly modifiable factors for MCI, which provide important evidence for establishing intervention measures.ĭementia is a leading cause of disability in people older than 65 years worldwide, including China, which induces huge challenges for policy makers, healthcare professionals, and family members. MCI prevalence is higher using MoCA compared to MMSE. MoCA is a better measure of cognitive function due to lack of ceiling effect and with good detection of cognitive heterogeneity. Increasing age (MMSE: OR = 2.073 for ≥75 years MoCA: OR = 1.869 for≥75 years), female (OR = 1.280 for MMSE OR = 1.163 for MoCA), living in county town (OR = 1.386 and 1.862 for MMSE and MoCA, respectively) or village (OR = 2.579 and 2.721 for MMSE and MoCA, respectively), smoking (OR = 1.373 and 1.288 for MMSE and MoCA, respectively), hypertension (MMSE: OR = 1.278 MoCA: OR = 1.208) and depression (MMSE: OR = 1.465 MoCA: OR = 1.350) were independently associated with greater likelihood of MCI compared to corresponding reference group in both scales (all p < 0.05).

Percentage of relative standard deviation, the measure of inter-individual variance, for MoCA (26.9%) was greater than for MMSE (19.0%) overall ( p < 0.0001). Ceiling effect for MCI was less frequent using MoCA versus MMSE according to the distribution of total score. MMSE had good correlation with MoCA (Spearman correlation coefficient = 0.8374, p < 0.0001) and moderate agreement for detecting MCI with Kappa value of 0.5973 ( p < 0.0001). The overall MCI prevalence was 28.6% for MMSE and 36.2% for MoCA. Correlation and agreement for MCI between MMSE and MoCA were analyzed group differences in cognition were evaluated and multiple logistic regression model was used to clarify risk factors for MCI. Demographic and health-related characteristics were collected by questionnaires.

Education-specific cutoffs of total score were used to diagnose MCI. Objective cognition was assessed by Chinese versions of MMSE and MoCA, and total score and subscores of cognitive domains were calculated for each. We conducted a cross-sectional analysis of 4923 adults aged ≥55 years from the Community-based Cohort Study on Nervous System Diseases. However, their comparison on which is best suited to assess cognition is scarce in samples from multiple regions of China.

The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are the most commonly used scales to detect mild cognitive impairment (MCI) in population-based epidemiologic studies.

Moca test score 1530