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Dataset Information

Variability in body weight and body composition and cognitive trajectories in older adults in the United States.


ABSTRACT:

Objective

This study examined the associations of variability and patterns in BMI, body weight (BW), and waist circumference (WC) with cognitive decline.

Methods

A total of 4304 participants (aged ≥65 years) from the National Health and Aging Trends Study between 2011 around 2021 were analyzed. Adjusted mixed-effect models assessed BW and body composition variability metrics linked to cognitive function z scores over 11 years, including standard deviation (SD), coefficient of variation (CV), root mean square error, last-to-first assessment change groups, and overall pattern over the follow-up.

Results

Participants in the highest SD variability quartile had the fastest cognitive decline (β = -0.036 [95% CI: -0.044 to -0.028] z scores per year) compared with the lowest

SUBMITTER: Flores AC 

PROVIDER: S-EPMC12592765 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature