The Prevalence of Mild Cognitive Impairment in Diverse Geographical and Ethnocultural Regions: The COSMIC Collaboration
Perminder Sachdev
(1)
,
Darren Lipnicki
(1)
,
Nicole Kochan
(1)
,
John D. Crawford
(1)
,
Anbupalam Thalamuthu
(1)
,
Gavin Andrews
(1)
,
Carol Brayne
(2)
,
Fiona Matthews
(2, 3)
,
Blossom Stephan
(3)
,
Richard Lipton
(4)
,
Mindy Katz
(4)
,
Karen A. Ritchie
(5, 6, 7)
,
Isabelle Carrière
(5, 6)
,
Marie-Laure Ancelin
(5, 6)
,
Linda Lam
(8)
,
Candy Wong
(9)
,
Ada Fung
(8)
,
Antonio Guaita
,
Roberta Vaccaro
,
Annalisa Davin
,
Mary Ganguli
(10)
,
Hiroko Dodge
(11, 12)
,
Tiffany Hughes
(10)
,
Kaarin Anstey
(13)
,
Nicolas Cherbuin
(13)
,
Peter Butterworth
(13)
,
Tze Pin Ng
(14)
,
Qi Gao
(14)
,
Simone Reppermund
(15)
,
Henry Brodaty
(15)
,
Nicole Schupf
(16)
,
Jennifer Manly
(16)
,
Yaakov Stern
(16)
,
Antonio Lobo
(17, 18)
,
Raúl Lopez-Anton
(17)
,
Javier Santabárbara
(17, 18)
1
USW -
University of South Wales
2 CAM - University of Cambridge [UK]
3 Newcastle University [Newcastle]
4 Albert Einstein College of Medicine [New York]
5 PSNREC - Neuropsychiatrie : recherche épidémiologique et clinique
6 CHRU Montpellier - Centre Hospitalier Régional Universitaire [Montpellier]
7 Imperial College London
8 CUHK - The Chinese University of Hong Kong [Hong Kong]
9 Tai Po Hospital
10 University of Pittsburgh School of Medicine
11 Department of Neurology
12 University of Michigan [Ann Arbor]
13 ANU - Australian National University
14 NUS - National University of Singapore
15 UNSW - University of New South Wales [Sydney]
16 Columbia University [New York]
17 CIBER-SAM - Centro de Investigación Biomédica en Red Salud Mental [Madrid]
18 University of Zaragoza - Universidad de Zaragoza [Zaragoza]
2 CAM - University of Cambridge [UK]
3 Newcastle University [Newcastle]
4 Albert Einstein College of Medicine [New York]
5 PSNREC - Neuropsychiatrie : recherche épidémiologique et clinique
6 CHRU Montpellier - Centre Hospitalier Régional Universitaire [Montpellier]
7 Imperial College London
8 CUHK - The Chinese University of Hong Kong [Hong Kong]
9 Tai Po Hospital
10 University of Pittsburgh School of Medicine
11 Department of Neurology
12 University of Michigan [Ann Arbor]
13 ANU - Australian National University
14 NUS - National University of Singapore
15 UNSW - University of New South Wales [Sydney]
16 Columbia University [New York]
17 CIBER-SAM - Centro de Investigación Biomédica en Red Salud Mental [Madrid]
18 University of Zaragoza - Universidad de Zaragoza [Zaragoza]
Fiona Matthews
- Fonction : Auteur
- PersonId : 948387
Blossom Stephan
- Fonction : Auteur
- PersonId : 778033
- ORCID : 0000-0002-1235-360X
Isabelle Carrière
- Fonction : Auteur
- PersonId : 858037
Marie-Laure Ancelin
- Fonction : Auteur
- PersonId : 181466
- IdHAL : marie-laure-ancelin
- ORCID : 0000-0002-1149-4320
- IdRef : 031912168
Antonio Guaita
- Fonction : Auteur
Roberta Vaccaro
- Fonction : Auteur
Annalisa Davin
- Fonction : Auteur
Hiroko Dodge
- Fonction : Auteur
- PersonId : 948404
Tze Pin Ng
- Fonction : Auteur
- PersonId : 798951
- ORCID : 0000-0001-9585-855X
Antonio Lobo
- Fonction : Auteur
- PersonId : 948416
Raúl Lopez-Anton
- Fonction : Auteur
- PersonId : 948417
Javier Santabárbara
- Fonction : Auteur
- PersonId : 948418
Résumé
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.
Domaines
Santé publique et épidémiologie
Origine : Fichiers éditeurs autorisés sur une archive ouverte
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