ArticleBehavioral sciences (Basel, Switzerland)2022
Predicting Scores on the Mini-Mental State Examination (MMSE) from Spontaneous Speech.
Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Psychometric Properties of the Subjective Cognitive Decline Questionnaire (SCD-Q) and Its Invariance across Age Groups.International journal of environmental research and public health · 2023Article
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Authors and funding
8 authors.
Funding
Abstract
The aim of this study was to examine the relationship between language components, such as lexical density, length, and content in terms of "Time, Space and Action", with MMSE scores. For this reason, a group of 33 older participants, without a diagnosis of dementia, was examined, providing information regarding recent and future events. Participants with higher MMSE scores showed higher lexical density, speech length, as well as number of tokens related to Time, Place and Action in their speech. However, these differences only reach the statistical level for lexical density when participants were divided into two groups (MCI and healthy controls). Word frequency was lower for participants with MCI but this difference was not statistically significant. Lastly, lexical density was positively correlated with MMSE scores and predicted MMSE scores. These results could be of interest at the applied level in the screening of MCI.
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Registered trials
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