There is 1 paper on LLM/(E/I)L in aging research: 1 observational study in people.
1 paper studies it1 finding
See all 1 papers on LLM/(E/I)L
“LLM/(E/I)L explained jump power best at R 2 = 0.803 compared with ALM/(E/I)W (p < 0.0001) and all other measures.”
- Humans1
Associations
1Jump power
upin humans1
1 study
Jump power
upin humans1
LLM/(E/I)L predicts jump power in humans (R 2 = 0.803, p < 0.0001).
“LLM/(E/I)L explained jump power best at R 2 = 0.803 compared with ALM/(E/I)W (p < 0.0001) and all other measures.”
Humansn = 248
Combination of DXA and BIS Predicts Jump Power Better Than Traditional Measures of Sarcopenia
JBMR plus
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JBMR Plus
Combination of DXA and BIS Predicts Jump Power Better Than Traditional Measures of Sarcopenia
Cross-sectional study of 248 peopleSarcopenia