Transitions in Frailty Status in Older Adults in Relation to Mobility: A Multistate Modeling Approach Employing a Deficit Count
Article first published online: 10 MAR 2011
© 2011, Copyright the Authors. Journal compilation © 2011, The American Geriatrics Society
Journal of the American Geriatrics Society
Volume 59, Issue 3, pages 524–529, March 2011
How to Cite
Fallah, N., Mitnitski, A., Searle, S. D., Gahbauer, E. A., Gill, T. M. and Rockwood, K. (2011), Transitions in Frailty Status in Older Adults in Relation to Mobility: A Multistate Modeling Approach Employing a Deficit Count. Journal of the American Geriatrics Society, 59: 524–529. doi: 10.1111/j.1532-5415.2011.03300.x
- Issue published online: 10 MAR 2011
- Article first published online: 10 MAR 2011
Figure S1. Examples of frailty trajectories for 10 randomly selected participants between baseline and the subsequent follow-up assessments. The vertical axis is the frailty status, represented by the deficit count on the left axis and the frailty index on the right axis.
Figure S2. The probability of transition in frailty states represented by age groups in Panel A (dichotomized at age 78) and by mobility groups in Panel B (dichotomized at walking speed of 10 seconds for rapid gait test). Each horizontal axis represents the frailty state at follow-up from a given baseline frailty state n (shown in each subplot) to the k state at follow-up (horizontal axis). Solid lines indicate the transition probabilities for the younger group (Panel A) and good mobility (Panel B), and dashed lines indicate the transition probabilities for the older group and poor mobility, respectively.
Table S1. A. Parameter estimates and their 95% confidence intervals for Poisson regression.
Table S1. B. Parameter estimates and their 95% confidence intervals for logistic regression.
Table S2. Parameter estimates and their 95% confidence intervals in logistic regression. Covariates exclude frailty at baseline.
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