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Title: The prevalence of mild cognitive impairment in diverse geographical and ethnocultural regions: The COSMIC Collaboration
Authors: Sachdev P.S.
Lipnicki D.M.
Kochan N.A.
Crawford J.D.
Thalamuthu A.
Andrews G.
Brayne C.
Matthews F.E.
Stephan B.C.M.
Lipton R.B.
Katz M.J.
Ritchie K.
Carri鑢e I.
Ancelin M.-L.
Lam L.C.W.
Wong C.H.Y.
Fung A.W.T.
Guaita A.
Vaccaro R.
Davin A.
Ganguli M.
Dodge H.
Hughes T.
Anstey K.J.
Cherbuin N.
Butterworth P.
Ng T.P. 
Gao Q. 
Reppermund S.
Brodaty H.
Schupf N.
Manly J.
Stern Y.
Lobo A.
Lopez-Anton R.
Santab醨bara J.
Zimmerman M.
Derby C.
Leung G.T.Y.
Chan W.C.
Polito L.
Abbondanza S.
Valle E.
Colombo M.
Vitali S.F.
Fossi S.
Zaccaria D.
Forloni G.
Villani S.
Christensen H.
MacKinnon A.
Easteal S.
Jacomb T.
Maxwell K.
Bowman A.
Burns K.
Broe A.
Dekker J.
Dooley L.
De Permentier M.
Fairjones S.
Fletcher J.
French T.
Foster C.
Nugent-Cleary-Fox E.
Gooi C.
Harvey E.
Helyer R.
Hsieh S.
Hughes L.
Jacek S.
Johnston M.
McCade D.
Meeth S.
Milne E.
Moir A.
O'Grady R.
Pfaeffli K.
Pose C.
Reuser L.
Rose A.
Schofield P.
Shahnawaz Z.
Sharpley A.
Thompson C.
Queisser W.
Wong S.
Mayeux R.
Brickman A.
Luchsinger J.
Sanchez D.
Tang M.X.
Andrews H.
Marcos G.
De-La-C醡ara C.
Saz P.
Ventura T.
Quintanilla M.A.
Lobo E.
Keywords: adult
Clinical Dementia Rating
cognitive defect
controlled study
cross-sectional study
cultural factor
disease severity
high school
longitudinal study
major clinical study
Mini Mental State Examination
scoring system
United States
very elderly
Cognitive Dysfunction
disease course
middle aged
neuropsychological test
Aged, 80 and over
Cognitive Dysfunction
Cooperative Behavior
Cross-Sectional Studies
Disease Progression
Longitudinal Studies
Middle Aged
Neuropsychological Tests
Issue Date: 2015
Citation: Sachdev P.S., Lipnicki D.M., Kochan N.A., Crawford J.D., Thalamuthu A., Andrews G., Brayne C., Matthews F.E., Stephan B.C.M., Lipton R.B., Katz M.J., Ritchie K., Carri鑢e I., Ancelin M.-L., Lam L.C.W., Wong C.H.Y., Fung A.W.T., Guaita A., Vaccaro R., Davin A., Ganguli M., Dodge H., Hughes T., Anstey K.J., Cherbuin N., Butterworth P., Ng T.P., Gao Q., Reppermund S., Brodaty H., Schupf N., Manly J., Stern Y., Lobo A., Lopez-Anton R., Santab醨bara J., Zimmerman M., Derby C., Leung G.T.Y., Chan W.C., Polito L., Abbondanza S., Valle E., Colombo M., Vitali S.F., Fossi S., Zaccaria D., Forloni G., Villani S., Christensen H., MacKinnon A., Easteal S., Jacomb T., Maxwell K., Bowman A., Burns K., Broe A., Dekker J., Dooley L., De Permentier M., Fairjones S., Fletcher J., French T., Foster C., Nugent-Cleary-Fox E., Gooi C., Harvey E., Helyer R., Hsieh S., Hughes L., Jacek S., Johnston M., McCade D., Meeth S., Milne E., Moir A., O'Grady R., Pfaeffli K., Pose C., Reuser L., Rose A., Schofield P., Shahnawaz Z., Sharpley A., Thompson C., Queisser W., Wong S., Mayeux R., Brickman A., Luchsinger J., Sanchez D., Tang M.X., Andrews H., Marcos G., De-La-C醡ara C., Saz P., Ventura T., Quintanilla M.A., Lobo E. (2015). The prevalence of mild cognitive impairment in diverse geographical and ethnocultural regions: The COSMIC Collaboration. PLoS ONE 10 (11) : e0142388. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: Background Changes in criteria and differences in populations studied and methodology have produced a wide range of prevalence estimates for mild cognitive impairment (MCI). Methods Uniform criteria were applied to harmonized data from 11 studies from USA, Europe, Asia and Australia, and MCI prevalence estimates determined using three separate definitions of cognitive impairment. Results The published range of MCI prevalence estimates was 5.0%-36.7%. This was reduced with all cognitive impairment definitions: performance in the bottom 6.681% (3.2%-10.8%); Clinical Dementia Rating of 0.5 (1.8%-14.9%); Mini-Mental State Examination score of 24-27 (2.1%-20.7%). Prevalences using the first definition were 5.9% overall, and increased with age (P < .001) but were unaffected by sex or the main races/ethnicities investigated (Whites and Chinese). Not completing high school increased the likelihood of MCI (P ? .01). Conclusion Applying uniform criteria to harmonized data greatly reduced the variation in MCI prevalence internationally. � 2015 Sachdev et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Source Title: PLoS ONE
ISSN: 19326203
DOI: 10.1371/journal.pone.0142388
Rights: Attribution 4.0 International
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