A data-driven cluster analysis to explore cognitive reserve and modifiable risk factors in early phases of cognitive decline

The present study was aimed to cluster sub-groups of patients with varying degrees of cognitive impairment (Subjective Cognitive Decline, mild or Major Neurocognitive Disorder) based on their modifiable risk factors and cognitive reserve with k-means analysis. As a secondary analysis, we described the identified clusters from different perspectives, i.e., socio-demographic characteristics, cognitive functioning, and mental health. The analysis revealed two clusters, which were composed by 27 and 43 patients characterized by protective (Cluster 1) and unprotective (Cluster 2) everyday life habits, respectively. The two groups showed significant differences across all examined dimensions, with Cluster 1 demonstrating a more favourable profile compared to Cluster 2. Specifically, Cluster 1 exhibited advantages in: (1) sociodemographic (education, technological skills, and occupation), (2) cognitive (global cognitive functioning, executive functioning, and working memory), and (3) mental health (mood state and quality of life) characteristics. Such a finding is representative of a more positive individual wellbeing for people who adopt protective behaviours. In the field of dementia prevention, these results support the importance to intervene proactively and simultaneously in the management of multiple risk factors during the entire lifespan.

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Publication Details

Journal
Scientific Reports
Published
2025-02-07
DOI
https://doi.org/10.1038/s41598-025-88340-6
Citations
3
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
4.41

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article

A data-driven cluster analysis to explore cognitive reserve and modifiable risk factors in early phases of cognitive decline

Sara Bernini, Elena Ballante, Tomaso Vecchi, Sara Bottiroli et al.
3 citations
Scientific Reports
Dementia and Cognitive Impairment Research
4.41
article

A data-driven cluster analysis to explore cognitive reserve and modifiable risk factors in early phases of cognitive decline

Sara Bernini, Elena Ballante, Tomaso Vecchi, Sara Bottiroli, Marta Picascia, Cristina Tassorelli, Federico Fassio, Elena Cavallini, Matteo Cotta Ramusino, Alfredo Costa, Alice Valcarenghi
article en
3 citations

Abstract

The present study was aimed to cluster sub-groups of patients with varying degrees of cognitive impairment (Subjective Cognitive Decline, mild or Major Neurocognitive Disorder) based on their modifiable risk factors and cognitive reserve with k-means analysis. As a secondary analysis, we described the identified clusters from different perspectives, i.e., socio-demographic characteristics, cognitive functioning, and mental health. The analysis revealed two clusters, which were composed by 27 and 43 patients characterized by protective (Cluster 1) and unprotective (Cluster 2) everyday life habits, respectively. The two groups showed significant differences across all examined dimensions, with Cluster 1 demonstrating a more favourable profile compared to Cluster 2. Specifically, Cluster 1 exhibited advantages in: (1) sociodemographic (education, technological skills, and occupation), (2) cognitive (global cognitive functioning, executive functioning, and working memory), and (3) mental health (mood state and quality of life) characteristics. Such a finding is representative of a more positive individual wellbeing for people who adopt protective behaviours. In the field of dementia prevention, these results support the importance to intervene proactively and simultaneously in the management of multiple risk factors during the entire lifespan.

Scientific ReportsVol. 15(1)
University of Pavia (IT), Foundation Center (US), University of Chieti-Pescara (IT), Fondazione Istituto Neurologico Nazionale Casimiro Mondino (IT), Urology Foundation (GB)
Ministero della Salute
Openalex Percentile: Top 7%
Dementia and Cognitive Impairment Research
4.41
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