Equating conversion norms for the Mini-Mental State Examination and Montreal Cognitive Assessment in healthy subjects and patients with neurodegenerative disorders
The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used. The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population o...
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Published in | Experimental gerontology Vol. 205; p. 112756 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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15.06.2025
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ISSN | 0531-5565 1873-6815 1873-6815 |
DOI | 10.1016/j.exger.2025.112756 |
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Abstract | The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used.
The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases.
A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample.
The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE.
Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range.
•Screening tests as useful tools for rapid assessment of overall cognitive function•Conversion MMSE/MoCA tables for Italian healthy and neurodegenerative aging•Availability of normative data on the characteristics of disease specific population•Conversion tables address inter-study variability between MMSE and MoCA scores.•Need of longitudinal cognitive monitoring if using different screening tools |
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AbstractList | The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used.
The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases.
A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample.
The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE.
Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range. Introduction: The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used. Objective/aim: The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases. Methods: A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample. Results: The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE. Conclusion: Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range. The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used. The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases. A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample. The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE. Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range. •Screening tests as useful tools for rapid assessment of overall cognitive function•Conversion MMSE/MoCA tables for Italian healthy and neurodegenerative aging•Availability of normative data on the characteristics of disease specific population•Conversion tables address inter-study variability between MMSE and MoCA scores.•Need of longitudinal cognitive monitoring if using different screening tools The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used.INTRODUCTIONThe Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely used.The present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases.OBJECTIVE/AIMThe present study attempted to provide conversion tables from the MMSE to the MoCA and vice versa, deriving them from a large population of healthy older adults and a representative clinical sample of subjects with different types of cognitive decline within the spectrum of Alzheimer's (AD) and Parkinson's (PD) diseases.A total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample.METHODSA total of 1423 Italian participants, including healthy adults (n = 1203), individuals with AD (n = 93), and with PD (n = 127) were assessed using the MMSE and MoCA. Conversion tables were developed using log-linear smoothing equipercentile equating (LSEE). The reliability of the conversion was assessed through the Root Mean Square Error (RMSE) in a train-test approach confirmed in the whole sample.The findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE.RESULTSThe findings demonstrated that the LSEE method enables the development of conversion tables allowing users to identify the corresponding MoCA score for each MMSE score within the studied groups, and vice versa. The estimation error RMSE was 1.8, 2.9, and 3.2 for the conversion of MoCA from MMSE and 1.2, 2.3, and 2.2 for the conversion of MMSE from MoCA in healthy subjects, AD, and PD, respectively. The reliability of the conversion is higher in healthy subjects and for higher values of MoCA and MMSE.Results report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range.CONCLUSIONResults report easy-to-use conversion norms for transforming raw MMSE score to MoCA and vice versa, highlighting areas were the conversion has a strong or low reliability depending on the score range. |
ArticleNumber | 112756 |
Author | Bernini, Sara Bottiroli, Sara Costa, Alfredo Picascia, Marta Barbieri, Marica Tassorelli, Cristina Ballante, Elena Cavallini, Elena Vecchi, Tomaso |
Author_xml | – sequence: 1 givenname: Sara surname: Bernini fullname: Bernini, Sara organization: IRCCS Mondino Foundation, Pavia, Italy – sequence: 2 givenname: Elena surname: Ballante fullname: Ballante, Elena organization: Department of Political and Social Sciences, University of Pavia, Pavia, Italy – sequence: 3 givenname: Marta surname: Picascia fullname: Picascia, Marta organization: IRCCS Mondino Foundation, Pavia, Italy – sequence: 4 givenname: Marica surname: Barbieri fullname: Barbieri, Marica organization: IRCCS Mondino Foundation, Pavia, Italy – sequence: 5 givenname: Alfredo surname: Costa fullname: Costa, Alfredo organization: Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy – sequence: 6 givenname: Elena surname: Cavallini fullname: Cavallini, Elena organization: Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy – sequence: 7 givenname: Cristina surname: Tassorelli fullname: Tassorelli, Cristina organization: Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy – sequence: 8 givenname: Tomaso surname: Vecchi fullname: Vecchi, Tomaso organization: Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy – sequence: 9 givenname: Sara surname: Bottiroli fullname: Bottiroli, Sara email: sara.bottiroli@unipv.it organization: Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy |
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Snippet | The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening tests widely... Introduction: The Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are globally recognized as validated cognitive screening... |
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SubjectTerms | Aged Aged, 80 and over Algorithm Alzheimer Disease - diagnosis Alzheimer Disease - psychology Cognition Cognitive Dysfunction - diagnosis Cognitive Dysfunction - psychology Conversion Female Healthy Volunteers Humans Italy Male Mental Status and Dementia Tests - standards Middle Aged MMSE mNCD MoCA Parkinson Disease - diagnosis Parkinson Disease - psychology Reference Values Reproducibility of Results Screening |
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Title | Equating conversion norms for the Mini-Mental State Examination and Montreal Cognitive Assessment in healthy subjects and patients with neurodegenerative disorders |
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