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. 2010 Jun;63(6):647-54.
doi: 10.1016/j.jclinepi.2009.08.007. Epub 2009 Oct 31.

A correspondence analysis revealed frailty deficits aggregate and are multidimensional

Nadia Sourial  1 , Christina Wolfson, Howard Bergman, Bin Zhu, Sathya Karunananthan, Jacqueline Quail, John Fletcher, Deborah Weiss, Karen Bandeen-Roche, François Béland
Affiliations

A correspondence analysis revealed frailty deficits aggregate and are multidimensional

Nadia Sourial et al. J Clin Epidemiol. 2010 Jun.

Abstract

Objective: To examine the relationships among seven frailty domains: nutrition, physical activity, mobility, strength, energy, cognition, and mood, using data from three studies.

Study design and setting: Data from three studies were separately analyzed using multiple correspondence analysis (MCA). The graphical output of MCA was used to assess (1) if the presence of deficits in the frailty domains separate from the absence of deficits on the graph, (2) the dimensionality of the domains, (3) the clustering of domains within each dimension, and (4) their relationship with age, sex, and disability. Results were compared across the studies.

Results: In two studies, presence of deficits for all domains separated from absence of deficits. In the third study, there was separation in all domains except cognition. Three main dimensions were retained in each study; however, assigned dimensionality of domains differed. The clustering of mobility with energy and/or strength was consistent across studies. Deficits were associated with older age, female sex, and disability.

Conclusion: Our results suggest that frailty is a multidimensional concept for which the relationships among domains differ according to the population characteristics. These domains, with the possible exception of cognition, appear to aggregate together and share a common underlying construct.

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Conflict of interest statement

The authors report no conflicts of interest.

Figures

Figure 1
Figure 1. Relationship among the frailty domain variables across the three studies -Results of the multiple correspondence analysis
MUNS: Montreal Unmet Needs Study; CSHA: Canadian Study of Health and Aging; SIPA: Integrated Services for Older Persons; NU: Nutrition, PA: Physical Activity, MB: Mobility, ST: Strength, EN: Energy, CG: Cognition, MD: Mood; Suffix 1 = presence of deficit; Suffix 0 = absence of deficit; Percentages for each axis correspond to proportion of explained inertia in each dimension.
See this image and copyright information in PMC

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