TY - JOUR
T1 - Contribution of Frailty Markers in Explaining Differences Among Individuals in Five Samples of Older Persons
AU - Sourial, N.
AU - Bergman, H.
AU - Karunananthan, S.
AU - Wolfson, C.
AU - Guralnik, J.
AU - Payette, H.
AU - Gutierrez-Robledo, L.
AU - Deeg, D.J.H.
AU - Fletcher, J.D.
AU - Puts, M.T.
AU - Zhu, B.
AU - Beland, F.
PY - 2012
Y1 - 2012
N2 - Background: There has been little research on the relative importance of frailty markers. The objective was to investigate the association among seven frailty domains (nutrition, physical activity, mobility, strength, energy, cognition, and mood) and their relative contribution in explaining differences among individuals in five samples of older persons. Methods: Data from five studies of aging were analyzed using multiple correspondence analysis. Aggregation of frailty markers was evaluated using graphical output. Decomposition of variability was used to assess the relative contribution of each marker in each sample. Results were combined across the samples to assess the average contribution. Results: Frailty markers were found to consistently aggregate in each sample, suggesting a possible underlying construct. Physical strength had the highest contribution on average in explaining differences among individuals. Mobility and energy also had large contributions. Nutrition and cognition had the smallest contributions. Conclusions: Our results provide further evidence supporting the notion that frailty domains may belong to a common construct. Physical strength may be the most important discriminating characteristic. © 2012 The Author.
AB - Background: There has been little research on the relative importance of frailty markers. The objective was to investigate the association among seven frailty domains (nutrition, physical activity, mobility, strength, energy, cognition, and mood) and their relative contribution in explaining differences among individuals in five samples of older persons. Methods: Data from five studies of aging were analyzed using multiple correspondence analysis. Aggregation of frailty markers was evaluated using graphical output. Decomposition of variability was used to assess the relative contribution of each marker in each sample. Results were combined across the samples to assess the average contribution. Results: Frailty markers were found to consistently aggregate in each sample, suggesting a possible underlying construct. Physical strength had the highest contribution on average in explaining differences among individuals. Mobility and energy also had large contributions. Nutrition and cognition had the smallest contributions. Conclusions: Our results provide further evidence supporting the notion that frailty domains may belong to a common construct. Physical strength may be the most important discriminating characteristic. © 2012 The Author.
U2 - 10.1093/gerona/gls084
DO - 10.1093/gerona/gls084
M3 - Article
SN - 1079-5006
VL - 67
SP - 1197
EP - 1204
JO - Journals of Gerontology. Series A : Biological Sciences & Medical Sciences
JF - Journals of Gerontology. Series A : Biological Sciences & Medical Sciences
IS - 11
ER -
