12-year evolution of multimorbidity patterns among older adults based on Hidden Markov Models.

ABSTRACT:

Background

The evolution of multimorbidity patterns during aging is still an under-researched area. We lack evidence concerning the time spent by older adults within one same multimorbidity pattern, and their transitional probability across different patterns when further chronic diseases arise. The aim of this study is to fill this gap by exploring multimorbidity patterns across decades of age in older adults, and longitudinal dynamics among these patterns.

Methods

Longitudinal study based on the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) on adults ≥60 years (N=3,363). Hidden Markov Models were applied to model the temporal evolution of both multimorbidity patterns and individuals' transitions over a 12-year follow-up.

Findings

Within the study

SUBMITTER: Roso-Llorach A 

PROVIDER: S-EPMC9831736 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature