Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores.

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Title: Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores.
Authors: Conti, Silvia, Bonazzi, Stefano, Laiacona, Marcella, Masina, Marco, Coralli, Mirco
Source: Neurological Sciences. Feb2015, Vol. 36 Issue 2, p209-214. 6p. 6 Charts.
Subjects: Cognitive testing, Cognitive objectives (Education), Mild cognitive impairment, Cognition disorders, Amnestic mild cognitive impairment
Abstract: The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening instrument developed by Nasreddine et al. to detect mild cognitive impairment, a high-risk condition for Alzheimer's disease and other forms of dementia. In this study we report normative data on the MoCA-Italian version, collected on a sample of 225 Italian healthy subjects ranged in age between 60 and 80 years, and in formal education from 5 to 23 years. The global normal cognition was established in accordance with the Mini-Mental State Examination score and with the Prose Memory Test score (Spinnler and Tognoni, Ital J Neurol Sci 6:25-27, ). None of the participants had a history of psychiatric, neurological, cerebrovascular disorders or brain injury or took drugs affecting cognition. Linear regression analysis was performed to evaluate the potential effect of age, education and sex on the MoCA total performance score. We provide correction grids to adjust raw scores and equivalent scores with cut-off value to allow comparison between MoCA performance and others neuropsychological test scores that can be administered on the same subject. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores.
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  Data: <searchLink fieldCode="DE" term="%22Cognitive+testing%22">Cognitive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+objectives+%28Education%29%22">Cognitive objectives (Education)</searchLink><br /><searchLink fieldCode="DE" term="%22Mild+cognitive+impairment%22">Mild cognitive impairment</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders%22">Cognition disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Amnestic+mild+cognitive+impairment%22">Amnestic mild cognitive impairment</searchLink>
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  Data: The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening instrument developed by Nasreddine et al. to detect mild cognitive impairment, a high-risk condition for Alzheimer's disease and other forms of dementia. In this study we report normative data on the MoCA-Italian version, collected on a sample of 225 Italian healthy subjects ranged in age between 60 and 80 years, and in formal education from 5 to 23 years. The global normal cognition was established in accordance with the Mini-Mental State Examination score and with the Prose Memory Test score (Spinnler and Tognoni, Ital J Neurol Sci 6:25-27, ). None of the participants had a history of psychiatric, neurological, cerebrovascular disorders or brain injury or took drugs affecting cognition. Linear regression analysis was performed to evaluate the potential effect of age, education and sex on the MoCA total performance score. We provide correction grids to adjust raw scores and equivalent scores with cut-off value to allow comparison between MoCA performance and others neuropsychological test scores that can be administered on the same subject. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10072-014-1921-3
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