ArticleObesity (Silver Spring, Md.)2025
Variability in body weight and body composition and cognitive trajectories in older adults in the United States.
Article in Obesity (Silver Spring, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Variability in body weight and body composition and cognitive trajectories in older adults in the United States.Obesity (Silver Spring, Md.) · 2025Article
- New Drugs and Same Blind Spots-Rethinking Obesity Care in Later Life.Obesity (Silver Spring, Md.) · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
objectiveThis study examined the associations of variability and patterns in BMI, body weight (BW), and waist circumference (WC) with cognitive decline.
methodsA 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.
resultsParticipants 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 variability BMI quartile (β = -0.019 [95% CI: -0.027 to -0.010] z scores per year, p values for interaction, < 0.001). Similar trends were observed for BMI CV and root mean square error, BW SD and CV, and WC CV. Compared with the stable or gain group, participants with ≥5% loss in BMI and BW had the fastest cognitive decline (both p values for interaction, < 0.0002). The cognitive decline rates among the stable, loss, gain and cycling patterns in BMI, BW, or WC were not significantly different.
conclusionsGreater variability and loss in BW and body composition were linked to accelerated cognitive decline in older adults.
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Registered trials
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