Baseline cluster membership demonstrates positive associations with first occurrence of multiple gerontologic outcomes over 10 years

Experimental Aging Research
Samah J FodehTerrence E Murphy

Abstract

BACKGROUND/STUDY CONTEXT: The potential of cluster analysis (CA) as a baseline predictor of multivariate gerontologic outcomes over a long period of time has not been previously demonstrated. Restricting candidate variables to a small group of established predictors of deleterious gerontologic outcomes, various CA methods were applied to baseline values from 754 nondisabled, community-living persons, aged 70 years or older. The best cluster solution yielded at baseline was subsequently used as a fixed explanatory variable in time-to-event models of the first occurrence of the following outcomes: any disability in four activities of daily living, any disability in four mobility measures, and death. Each outcome was recorded through a maximum of 129 months or death. Associations between baseline ordinal cluster level and first occurrence of all three outcomes were modeled over a 10-year period with proportional hazards regression and compared with the associations yielded by the analogous latent class analysis (LCA) solution. The final cluster-defining variables were continuous measures of cognitive status and depressive symptoms, and dichotomous indicators of slow gait and exhaustion. The best solution yielded by baseline values...Continue Reading

References

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Citations

Dec 28, 2017·Medical & Biological Engineering & Computing·Samah Jamal FodehCynthia Brandt

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Methods Mentioned

BETA
amputation

Software Mentioned

SAS
STAT
MATLAB
Mplus
LCA

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