Predicting Markers of Cognitive Decline within Small Population Samples of Daily Life Activities.
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| Title: | Predicting Markers of Cognitive Decline within Small Population Samples of Daily Life Activities. |
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| Authors: | Nutakki, Chaitanya1, Menon, Anil S.2, Sargurunathan, Naveen Kumar2, Ramesh, Shreya2, Naldi, Giovanni3, Diwakar, Shyam1,4 shyam@amrita.edu |
| Source: | International Journal of Online & Biomedical Engineering. 2025, Vol. 21 Issue 6, p111-123. 13p. |
| Subjects: | Explicit memory, Implicit memory, Cognitive ability, Neuropsychological tests, Cognition disorders |
| Abstract: | Lifestyle markers associated with health can be used to predict decline in cognitive function among individuals. The objective of this study was to investigate how lifestyle factors assessed from data surveys impact decline in cognitive function by employing a cognitive assessment questionnaire across subpopulations in three districts in India. Lifestyle attributes and their correlations to cognitive strength were identified using machine learning methods. Our analysis suggests that modifiable lifestyle factors, including physical activity, choice of smoking, social interaction, and following a regular diet, significantly impact changes in explicit and implicit memory, emphasizing the interconnectedness between lifestyle choices and cognitive function. Neuropsychological assessment scores for visuospatial and delayed recall memory abilities between male and female participants showed significant differences, highlighting the importance of considering sex differences in cognitive research and clinical practice. Lifestyle choices can have implications across perceived states of cognitive functions that can be crucial for public health and intelligent app development. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Online & Biomedical Engineering is the property of International Journal of Online Engineering 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.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185319550 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijoe.v21i06.53499 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 111 Subjects: – SubjectFull: Explicit memory Type: general – SubjectFull: Implicit memory Type: general – SubjectFull: Cognitive ability Type: general – SubjectFull: Neuropsychological tests Type: general – SubjectFull: Cognition disorders Type: general Titles: – TitleFull: Predicting Markers of Cognitive Decline within Small Population Samples of Daily Life Activities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nutakki, Chaitanya – PersonEntity: Name: NameFull: Menon, Anil S. – PersonEntity: Name: NameFull: Sargurunathan, Naveen Kumar – PersonEntity: Name: NameFull: Ramesh, Shreya – PersonEntity: Name: NameFull: Naldi, Giovanni – PersonEntity: Name: NameFull: Diwakar, Shyam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 26268493 Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Online & Biomedical Engineering Type: main |
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