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The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing
Joint Authors
Cotter, Jorge
Costa, Patrício Soares
Cunha, Pedro
Sousa, Nuno
Santos, Nadine Correia
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Pharmacy, Health & Medical Sciences
Abstract EN
The main focus of this study was to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing underlying structures in large datasets used to investigate cognitive ageing.
Principal component analysis (PCA) was used to obtain main cognitive dimensions, and MCA was used to detect and explore relationships between cognitive, clinical, physical, and lifestyle variables.
Two PCA dimensions were identified (general cognition/executive function and memory), and two MCA dimensions were retained.
Poorer cognitive performance was associated with older age, less school years, unhealthier lifestyle indicators, and presence of pathology.
The first MCA dimension indicated the clustering of general/executive function and lifestyle indicators and education, while the second association was between memory and clinical parameters and age.
The clustering analysis with object scores method was used to identify groups sharing similar characteristics.
The weaker cognitive clusters in terms of memory and executive function comprised individuals with characteristics contributing to a higher MCA dimensional mean score (age, less education, and presence of indicators of unhealthier lifestyle habits and/or clinical pathologies).
MCA provided a powerful tool to explore complex ageing data, covering multiple and diverse variables, showing if a relationship exists and how variables are related, and offering statistical results that can be seen both analytically and visually.
American Psychological Association (APA)
Costa, Patrício Soares& Santos, Nadine Correia& Cunha, Pedro& Cotter, Jorge& Sousa, Nuno. 2013. The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing. Journal of Aging Research،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-461661
Modern Language Association (MLA)
Costa, Patrício Soares…[et al.]. The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing. Journal of Aging Research No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-461661
American Medical Association (AMA)
Costa, Patrício Soares& Santos, Nadine Correia& Cunha, Pedro& Cotter, Jorge& Sousa, Nuno. The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing. Journal of Aging Research. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-461661
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461661