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Dataset Information

Analysis of Time Trends in Alzheimer's Disease and Related Dementias Using Partitioning Approach.


ABSTRACT:

Background

Understanding the dynamics of epidemiologic trends in Alzheimer's disease (AD) and related dementias (ADRD) and their epidemiologic causes is vital to providing important insights into reducing the burden associated with these conditions.

Objective

To model the time trends in age-adjusted AD/ADRD prevalence and incidence-based mortality (IBM), and identify the main causes of the changes in these measures over time in terms of interpretable epidemiologic quantities.

Methods

Trend decomposition was applied to a 5%sample of Medicare beneficiaries between 1991 and 2017.

Results

Prevalence of AD was increasing between 1992 and 2011 and declining thereafter, while IBM increased over the study period with a significant slowdown in its rate of growth from 20

SUBMITTER: Akushevich I 

PROVIDER: S-EPMC8995147 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature