scholarly journals 003EVALUATION OF CONSTRUCTIONAL IMPAIRMENT IN THE INDEPENDENT ELDERLY POPULATION BASED ON MINI-MENTAL STATE EXAMINATION

2016 ◽  
Vol 45 (suppl 2) ◽  
pp. ii13.1-ii56
Author(s):  
Michelle Brennan ◽  
Margaret O'Connor ◽  
Declan Lyons ◽  
Catherine Peters ◽  
Elaine Shanahan
2016 ◽  
Vol 31 (3) ◽  
pp. 263-272 ◽  
Author(s):  
I. Contador ◽  
F. Bermejo-Pareja ◽  
B. Fernández-Calvo ◽  
E. Boycheva ◽  
E. Tapias ◽  
...  

2008 ◽  
Vol 66 (3a) ◽  
pp. 524-528 ◽  
Author(s):  
Érico Castro-Costa ◽  
Cíntia Fuzikawa ◽  
Elizabeth Uchoa ◽  
Josélia Oliveira Araújo Firmo ◽  
Maria Fernanda Lima-Costa

OBJECTIVE: To estimate the prevalence of cognitive impairment in an elderly population-based cohort, using several Mini-Mental State Examination (MMSE) cut-off points recommended by Brazilian authors and to examine the percentile distribution of MMSE scores in the study population. METHOD: A total of 1558 subjects aged >60 years (89.4% of the total), living in the city of Bambuí, MG, completed the MMSE and were included in the present study. RESULTS: The estimated prevalences of cognitive impairment varied from 13.2% to 27.0% depending on the cut-off point and agreement varied widely between them (kappa range: 0.38 to 0.88). Cut-off point 13/14 corresponded to the 5th percentile and 21/22 corresponded to the lower quartile of the MMSE score distribution. CONCLUSION: In the absence of comparable cut-off points, percentile distributions are more adequate for population-based studies of elderly with low schooling level.


1996 ◽  
Vol 3 (3) ◽  
pp. 198-202 ◽  
Author(s):  
E. Magni ◽  
G. Binetti ◽  
A. Bianchetti ◽  
R. Rozzini ◽  
M. Trabucchi

2014 ◽  
Vol 43 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Viviane Philipps ◽  
Hélène Amieva ◽  
Sandrine Andrieu ◽  
Carole Dufouil ◽  
Claudine Berr ◽  
...  

2013 ◽  
Vol 61 (8) ◽  
pp. 1369-1376 ◽  
Author(s):  
Ting Dai ◽  
Adam Davey ◽  
John L. Woodard ◽  
Lloyd Stephen Miller ◽  
Yasuyuki Gondo ◽  
...  

2016 ◽  
Vol 14 (2) ◽  
pp. 199-205 ◽  
Author(s):  
Malin Christina Ericsson ◽  
Margaret Gatz ◽  
Ingemar Kåreholt ◽  
Marti G. Parker ◽  
Stefan Fors

2016 ◽  
Vol 7 (01) ◽  
pp. 44-47
Author(s):  
Sunil Kumar Raina ◽  
Vishav Chander ◽  
Sujeet Raina ◽  
Ashoo Grover

ABSTRACT Background: Mini-mental state examination (MMSE) scale measures cognition using specific elements that can be isolated, defined, and subsequently measured. This study was conducted with the aim to analyze the factorial structure of MMSE in a largely, illiterate, elderly population in India and to reduce the number of variables to a few meaningful and interpretable combinations. Methodology: Principal component analysis (PCA) was performed post-hoc on the data generated by a research project conducted to estimate the prevalence of dementia in four geographically defined habitations in Himachal Pradesh state of India. Results: Questions on orientation and registration account for high percentage of cumulative variance in comparison to other questions. Discussion: The PCA conducted on the data derived from a largely, illiterate population reveals that the most important components to consider for the estimation of cognitive impairment in illiterate Indian population are temporal orientation, spatial orientation, and immediate memory.


2013 ◽  
Vol 25 (11) ◽  
pp. 1831-1838 ◽  
Author(s):  
YanHong Dong ◽  
Wah Yean Lee ◽  
Saima Hilal ◽  
Monica Saini ◽  
Tien Yin Wong ◽  
...  

ABSTRACTBackground:We examined the discriminant validity of the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) in detecting multiple-domain mild cognitive impairment (md-MCI) in a Chinese sub-sample drawn from elderly population-based study.Methods:This study included Chinese participants from the Epidemiology of Dementia in Singapore (EDIS) study aged ≥ 60 years who underwent cognitive screening with the Abbreviated Mental Test and Progressive Forgetfulness Questionnaire. Screen-positive participants subsequently underwent MoCA, MMSE, and a comprehensive formal neuropsychological battery. MCI was defined by Petersen's criteria and further classified into single-domain MCI (sd-MCI) and md-MCI. Area under the receiver operating characteristic curve (AUC) with 95% confidence intervals (CIs) was computed for the MoCA and the MMSE in detecting md-MCI.Results:A total of 300 participants were recruited: 128 (42.7%) were diagnosed with no cognitive impairment (NCI), 47 (15.7%) with sd-MCI, and 83 (28.0%) with md-MCI. Forty-one participants were excluded, 7 (2.3%) had dementia, and 34 (11.3%) had only objective cognitive impairment without subjective complaints. Although the MoCA had a significantly larger AUC than the MMSE (0.94 (95% CI = 0.91–0.97) vs. 0.91 (95% CI = 0.86–0.95), p= 0.04), at optimal cut-off points, the MoCA (19/20) was equivalent to the MMSE (25/26) in detecting md-MCI (sensitivity: 0.80 vs. 0.87, specificity: 0.92 vs. 0.80).Conclusion:Both screening tests had good discriminant validity and can be used in detecting md-MCI in a sub-sample of Chinese drawn from a population-based study.


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