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Validation of Montreal Cognitive Assessment and Discriminant Power of Montreal Cognitive Assessment Subtests in Patients With Mild Cognitive Impairment and Alzheimer Dementia in Turkish Population

Overview of attention for article published in Journal of Geriatric Psychiatry and Neurology, February 2014
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Title
Validation of Montreal Cognitive Assessment and Discriminant Power of Montreal Cognitive Assessment Subtests in Patients With Mild Cognitive Impairment and Alzheimer Dementia in Turkish Population
Published in
Journal of Geriatric Psychiatry and Neurology, February 2014
DOI 10.1177/0891988714522701
Pubmed ID
Authors

Yıldız Kaya, Ozlem Erden Aki, Ufuk Anik Can, Eda Derle, Seda Kibaroğlu, Anil Barak

Abstract

Montreal Cognitive Assessment (MoCA) is a new cognitive tool developed for screening mild cognitive impairment (MCI). The authors examined validity of MoCA and discriminating power of subtests in a Turkish population comprising of 474 participants (246 healthy controls, 114 subjects with MCI and 114 subjects with dementia). The ANCOVAs showed that age and education had a main effect on MoCA scores. Cut scores were computed according to different education levels. The overall cut-off values for MCI and dementia were found to be lower compared to western studies. MoCA was found to have good internal consistency. The subtests most useful in discriminating MCI from healthy controls were recall, visuospatial and language, while in discriminating dementia from MCI were visuospatial, orientation and attention subtests. The results demonstrated that MoCA is a valid and reliable instrument in screening MCI, and compared with the MMSE, MoCA was proved to have superior sensitivity and specificity in detecting MCI.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Portugal 1 <1%
Canada 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 14%
Researcher 14 12%
Student > Bachelor 13 11%
Student > Doctoral Student 10 9%
Student > Ph. D. Student 9 8%
Other 24 21%
Unknown 28 25%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Psychology 21 18%
Neuroscience 9 8%
Social Sciences 4 4%
Agricultural and Biological Sciences 3 3%
Other 14 12%
Unknown 34 30%