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Dataset Information

Chronic condition clusters and associated disability over time.


ABSTRACT:

Objectives

Recent evidence shows that more complex clusters of chronic conditions are associated with poorer health outcomes. Less clear is the extent to which these clusters are associated with different types of disability (activities of daily living (ADL) and functional mobility (FM)) over time; the aim of this study was to investigate this relationship.

Methods

This was a longitudinal analysis using the National Health and Aging Trends Study (NHATS) (n = 6179). Using latent class analysis (LCA), we determined the optimal clusters of chronic conditions, then assigned each person to a best-fit class. Next, we used mixed-effects models with repeated measures to examine the effects of group (best-fit class), time (years from baseline), and the group by time interactio

SUBMITTER: Klinedinst TC 

PROVIDER: S-EPMC9106307 | biostudies-literature | 2022 Jan-Dec

REPOSITORIES: biostudies-literature