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The Montreal Cognitive Assessment : Normative Data from a Large Swedish Population-Based Cohort

Borland, Emma LU ; Nägga, Katarina LU ; Nilsson, Peter M. LU ; Minthon, Lennart LU ; Nilsson, Erik D. LU and Palmqvist, Sebastian LU (2017) In Journal of Alzheimer's Disease 59(3). p.893-901
Abstract

Background: The Montreal Cognitive Assessment (MoCA) has a high sensitivity for detecting cognitive dysfunction. Swedish normative data does not exist and international norms are often derived from populations where cognitive impairment has not been screened for and not been thoroughly assessed to exclude subjects with dementia or mild cognitive impairment. Objective: To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort. Methods: MoCA was administered on 860 randomly selected elderly people from a population-based cohort from the EPIC study. Cognitive dysfunction was screened for and further assessed at a memory clinic. After excluding cognitively impaired participants,... (More)

Background: The Montreal Cognitive Assessment (MoCA) has a high sensitivity for detecting cognitive dysfunction. Swedish normative data does not exist and international norms are often derived from populations where cognitive impairment has not been screened for and not been thoroughly assessed to exclude subjects with dementia or mild cognitive impairment. Objective: To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort. Methods: MoCA was administered on 860 randomly selected elderly people from a population-based cohort from the EPIC study. Cognitive dysfunction was screened for and further assessed at a memory clinic. After excluding cognitively impaired participants, normative data was derived from 758 people, aged 65-85. Results: MoCA cut-offs (-1 to -2 standard deviations) for cognitive impairment ranged from <25 to <21 for the lowest educated and <26 to <24 for the highest educated, depending on age group. Significant predictors for MoCA score were age, sex and level of education. Conclusion: We present detailed normative MoCA data and cut-offs according to the DSM-5 criteria for cognitive impairment based on a large population-based cohort of elderly individuals, screened and thoroughly investigated to rule out cognitive impairment. Level of education, sex, and age should be taken in account when evaluating MoCA score, which is facilitated by our online regression-based calculator that provide percentile and z-score for a subject's MoCA score.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Cognitively healthy elderly, excluding cognitively impaired, Montreal Cognitive Assessment, normative, population-based, representative, Swedish
in
Journal of Alzheimer's Disease
volume
59
issue
3
pages
9 pages
publisher
IOS Press
external identifiers
  • scopus:85026811098
  • wos:000406926700008
ISSN
1387-2877
DOI
10.3233/JAD-170203
language
English
LU publication?
yes
id
fce313ff-8817-479d-84f9-531089587e7d
date added to LUP
2017-08-30 14:26:49
date last changed
2017-09-18 11:43:34
@article{fce313ff-8817-479d-84f9-531089587e7d,
  abstract     = {<p>Background: The Montreal Cognitive Assessment (MoCA) has a high sensitivity for detecting cognitive dysfunction. Swedish normative data does not exist and international norms are often derived from populations where cognitive impairment has not been screened for and not been thoroughly assessed to exclude subjects with dementia or mild cognitive impairment. Objective: To establish norms for MoCA and develop a regression-based norm calculator based on a large, well-examined cohort. Methods: MoCA was administered on 860 randomly selected elderly people from a population-based cohort from the EPIC study. Cognitive dysfunction was screened for and further assessed at a memory clinic. After excluding cognitively impaired participants, normative data was derived from 758 people, aged 65-85. Results: MoCA cut-offs (-1 to -2 standard deviations) for cognitive impairment ranged from &lt;25 to &lt;21 for the lowest educated and &lt;26 to &lt;24 for the highest educated, depending on age group. Significant predictors for MoCA score were age, sex and level of education. Conclusion: We present detailed normative MoCA data and cut-offs according to the DSM-5 criteria for cognitive impairment based on a large population-based cohort of elderly individuals, screened and thoroughly investigated to rule out cognitive impairment. Level of education, sex, and age should be taken in account when evaluating MoCA score, which is facilitated by our online regression-based calculator that provide percentile and z-score for a subject's MoCA score.</p>},
  author       = {Borland, Emma and Nägga, Katarina and Nilsson, Peter M. and Minthon, Lennart and Nilsson, Erik D. and Palmqvist, Sebastian},
  issn         = {1387-2877},
  keyword      = {Cognitively healthy elderly,excluding cognitively impaired,Montreal Cognitive Assessment,normative,population-based,representative,Swedish},
  language     = {eng},
  number       = {3},
  pages        = {893--901},
  publisher    = {IOS Press},
  series       = {Journal of Alzheimer's Disease},
  title        = {The Montreal Cognitive Assessment : Normative Data from a Large Swedish Population-Based Cohort},
  url          = {http://dx.doi.org/10.3233/JAD-170203},
  volume       = {59},
  year         = {2017},
}