title: A correspondence analysis revealed frailty deficits aggregate and are multidimensional.
abstract: OBJECTIVE
  To examine the relationships among seven frailty domains: nutrition, physical activity, mobility, strength, energy, cognition, and mood, using data from three studies.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Solidage Research Group, Centre for Clinical Epidemiology and Community Studies, Jewish General Hospital, Quebec, Canada.
authors.forename: Nadia
authors.initials: N
authors.lastname: Sourial
authors.forename: Christina
authors.initials: C
authors.lastname: Wolfson
authors.forename: Howard
authors.initials: H
authors.lastname: Bergman
authors.forename: Bin
authors.initials: B
authors.lastname: Zhu
authors.forename: Sathya
authors.initials: S
authors.lastname: Karunananthan
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Quail
authors.forename: John
authors.initials: J
authors.lastname: Fletcher
authors.forename: Deborah
authors.initials: D
authors.lastname: Weiss
authors.forename: Karen
authors.initials: K
authors.lastname: Bandeen-Roche
authors.forename: François
authors.initials: F
authors.lastname: Béland
mesh_terms: D000339:Affect; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D003071:Cognition; D004185:Disability Evaluation; D005260:Female; D016330:Frail Elderly / Q000523:psychology / Q000706:statistics & numerical data*; D015577:Geriatric Assessment / Q000706:statistics & numerical data*; D006304:Health Status; D006801:Humans; D008297:Male; D009043:Motor Activity; D053580:Muscle Strength; D015596:Nutrition Assessment