A correspondence analysis revealed frailty deficits aggregate and are multidimensional

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

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)647-654
Number of pages8
JournalJournal of Clinical Epidemiology
Volume63
Issue number6
DOIs
StatePublished - Jun 2010

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Cognition
Cluster Analysis
Population Characteristics

Keywords

  • Association
  • Domains of frailty
  • Epidemiology
  • Frailty
  • Multiple correspondence analysis
  • Older persons

ASJC Scopus subject areas

  • Epidemiology

Cite this

Sourial, N., Wolfson, C., Bergman, H., Zhu, B., Karunananthan, S., Quail, J., ... Béland, F. (2010). A correspondence analysis revealed frailty deficits aggregate and are multidimensional. Journal of Clinical Epidemiology, 63(6), 647-654. https://doi.org/10.1016/j.jclinepi.2009.08.007

A correspondence analysis revealed frailty deficits aggregate and are multidimensional. / Sourial, Nadia; Wolfson, Christina; Bergman, Howard; Zhu, Bin; Karunananthan, Sathya; Quail, Jacqueline; Fletcher, John; Weiss, Deborah; Bandeen Roche, Karen J; Béland, François.

In: Journal of Clinical Epidemiology, Vol. 63, No. 6, 06.2010, p. 647-654.

Research output: Contribution to journalArticle

Sourial, N, Wolfson, C, Bergman, H, Zhu, B, Karunananthan, S, Quail, J, Fletcher, J, Weiss, D, Bandeen Roche, KJ & Béland, F 2010, 'A correspondence analysis revealed frailty deficits aggregate and are multidimensional', Journal of Clinical Epidemiology, vol. 63, no. 6, pp. 647-654. https://doi.org/10.1016/j.jclinepi.2009.08.007
Sourial, Nadia ; Wolfson, Christina ; Bergman, Howard ; Zhu, Bin ; Karunananthan, Sathya ; Quail, Jacqueline ; Fletcher, John ; Weiss, Deborah ; Bandeen Roche, Karen J ; Béland, François. / A correspondence analysis revealed frailty deficits aggregate and are multidimensional. In: Journal of Clinical Epidemiology. 2010 ; Vol. 63, No. 6. pp. 647-654.
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