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Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
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Multidimensional Body Composition Modalities and Their Associations with Brain Aging in Chinese Adults
Qiao Qiao Zhao1, Yan Jie Zhao2, Jing Ju3
1Department of General Practice, Dongyang People's Hospital, Dongyang 322100, Zhejiang, China.
Biomedical and Environmental Sciences : BES
|April 7, 2026
Summary
High body fat mass is linked to accelerated brain aging in Chinese adults. This finding suggests body composition screening may help prevent cognitive decline.
Area of Science:
- Neuroscience
- Gerontology
- Public Health
Background:
- Brain aging is a complex process influenced by various factors.
- Understanding the link between body composition and brain health is crucial for preventative strategies.
Purpose of the Study:
- To investigate the associations between multidimensional body composition and brain aging in Chinese adults.
- To identify specific body composition patterns related to accelerated brain aging.
Main Methods:
- Brain age was estimated using computed tomography (CT) scans and ridge regression.
- Principal component analysis identified body composition modalities.
- Logistic regression analyzed the relationship between body composition and brain age acceleration/deceleration.
Main Results:
- Three distinct body composition modalities were identified: fat mass dominant, fat-free mass dominant, and trunk-leg contrast distribution.
- A fat mass dominant body composition was significantly associated with accelerated brain aging (OR = 1.40, 95% CI: 1.15–1.71).
- The association remained robust in sensitivity analyses.
Conclusions:
- A fat mass dominant body composition is a significant indicator of accelerated brain aging.
- Integrating body composition assessment into health screenings may facilitate targeted interventions for brain aging prevention.
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