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Predicted lean body mass in relation to cognitive function in the older adults
Hong-Jian Gong1, Xingyao Tang2, Yin-He Chai1
1Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Frontiers in Endocrinology
|July 24, 2023
Summary
Higher lean body mass (LBM) is linked to better information processing speed in older adults. This association may aid in early detection and prevention of cognitive decline.
Area of Science:
- Gerontology
- Neuroscience
- Public Health
Background:
- Previous research on lean body mass (LBM) and cognitive function has yielded inconclusive results.
- The National Health and Nutrition Examination Survey (NHANES) provides a valuable dataset for investigating this relationship.
Purpose of the Study:
- To examine the association between predicted lean body mass (LBM) and cognitive function in older adults.
- To identify potential biomarkers for early detection of cognitive impairment.
Main Methods:
- Utilized NHANES 2011-2014 data from 2955 participants aged 60 and above.
- Employed logistic regression models to assess the relationship between predicted LBM and cognitive tests (DSST, CERAD-WL, CERAD-DR, AF).
- Defined cognitive impairment as the lowest quartile of performance on each cognitive test; conducted sex-stratified analyses.
Main Results:
- A significant positive association was found between predicted LBM and information processing speed (DSST), even after adjusting for covariates (OR=0.95, 95%CI=0.91-0.99).
- Participants in the highest quartile of LBM showed a substantially lower odds of DSST impairment compared to the lowest quartile (OR=0.355, 95%CI=0.153-0.822).
- No significant associations were observed between LBM and other cognitive domains (memory, executive function) or when stratified by sex.
Conclusions:
- Predicted lean body mass is associated with cognitive function, specifically information processing speed, in older adults.
- This finding suggests that LBM could serve as a potential indicator for early detection and prevention strategies targeting cognitive decline.
Keywords:
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