Brain Age Gap Associations with Body Composition and Metabolic Indices in an Asian Cohort: An MRI-Based Study.

Han-Jui Lee, Chen-Yuan Kuo, Yu-Chung Tsao, Pei-Lin Lee, Kun-Hsien Chou, Chung-Jung Lin, Ching-Po Lin

Department of Radiology, Taipei Veterans General Hospital, Taipei 112, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.Department of Radiology, Taipei Veterans General Hospital, Taipei 112, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan. · pubmed

Paper

Abstract

Global aging raises concerns about cognitive health, metabolic disorders, and sarcopenia. Prevention of reversible decline and diseases in middle-aged individuals is essential for promoting healthy aging. We hypothesize that changes in body composition, specifically muscle mass and visceral fat, and metabolic indices are associated with accelerated brain aging. To explore these relationships, we employed a brain age model to investigate the links between the brain age gap (BAG), body composition, and metabolic markers.

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Research summary

Changes in body composition and metabolic indices are associated with accelerated brain aging. This study explores factors that may contribute to cognitive decline, which is a significant aspect of aging and longevity research.

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