TY - JOUR
T1 - The Prevalence of Mild Cognitive Impairment in Diverse Geographical and Ethnocultural Regions
T2 - The COSMIC Collaboration
AU - Sachdev, Perminder S.
AU - Lipnicki, Darren M.
AU - Kochan, Nicole A.
AU - Crawford, John D.
AU - Thalamuthu, Anbupalam
AU - Andrews, Gavin
AU - Brayne, Carol
AU - Matthews, Fiona E.
AU - Stephan, Blossom C. M.
AU - Lipton, Richard B.
AU - Katz, Mindy J.
AU - Ritchie, Karen
AU - Carrière, Isabelle
AU - Ancelin, Marie-Laure
AU - Lam, Linda C. W.
AU - Wong, Candy H. Y.
AU - Fung, Ada W. T.
AU - Guaita, Antonio
AU - Vaccaro, Roberta
AU - Davin, Annalisa
AU - Ganguli, Mary
AU - Dodge, Hiroko
AU - Hughes, Tiffany
AU - Anstey, Kaarin J.
AU - Cherbuin, Nicolas
AU - Butterworth, Peter
AU - Ng, Tze Pin
AU - Gao, Qi
AU - Reppermund, Simone
AU - Brodaty, Henry
AU - Schupf, Nicole
AU - Manly, Jennifer
AU - Stern, Yaakov
AU - Lobo, Antonio
AU - Lopez-Anton, Raúl
AU - Santabárbara, Javier
AU - Cohort Studies of Memory in an International Consortium (COSMIC)
N1 - Funding information:
National Health and Medical Research Council of Australia Program Grant (ID 568969; PSS). For the contributing studies: Major awards from the UK Medical Research Council and the Department of Health (CB, FEM, BCMS); National Institute on Health/National Institute on Aging grants (5P01 AG003949, 1R03 AG045474; RBL, MJK); Novartis (KR, MLA, IC); Mr. Lai Seung Hung & Mrs. Lai Chan Pui Ngong Dementia in Hong Kong Research Fund, and an educational fund from Eisai (LCWL, CHYW, AWTF); Fondazione Golgi Cenci and Federazione Alzheimer Italia (AG, RV, AD); National Institute on Aging, National Institutes of Health, United States Department of Health and Human Services (Grant # R01AG07562; MG, HD, TH); National Health and Medical Research Council of Australia (Grants 973302, 179805, 157125 and 1002160; KJA, NC, PB); Research grants (No. 03/121/17/214 and No. 08/1/21/19/567) from the Biomedical Research Council, Agency for Science, Technology and Research (A*STAR) in Singapore (TPN, QG); National Health & Medical Research Council of Australia Program Grant (ID 350833; PSS, DML, NAK, JDC, AT, GA, SR, HB); National Institute of Health/National Institute on Aging (Grants # R01 AG037212, P01 AG07232; NS, JM, YS); Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spanish Ministry of Health, Madrid, Spain (Grants 94/1562, 97/1321E, 98/0103, 01/0255, 03/0815, 06/0617, and G03/128) and Pfizer Foundation, Madrid (AL, RLA, JS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher copyright:
© 2015 Sachdev et al.
PY - 2015/11/5
Y1 - 2015/11/5
N2 - 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.
AB - 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.
UR - http://europepmc.org/abstract/med/26539987
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951268191&doi=10.1371%2fjournal.pone.0142388&partnerID=40&md5=cf21c387360050b1c5604ec609ec374d
U2 - 10.1371/journal.pone.0142388
DO - 10.1371/journal.pone.0142388
M3 - Journal article
C2 - 26539987
SN - 1932-6203
VL - 10
JO - PLoS ONE
JF - PLoS ONE
IS - 11
M1 - e0142388
ER -