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Normative Data for Lean Mass Using FNIH Criteria in an Australian Setting
Julie A Pasco1,2,3,4,5, Kara L Holloway-Kew6, Monica C Tembo6
1Deakin University, Geelong, Australia. juliep@barwonhealth.org.au.
Calcified Tissue International
|December 21, 2018
Summary
The FNIH Sarcopenia Project
Area of Science:
- Gerontology
- Body Composition Analysis
- Sarcopenia Research
Background:
- Appendicular lean mass (ALM) adjusted for body mass index (BMI) is recommended for identifying low lean mass.
- The FNIH Sarcopenia Project established cutpoints for ALM/BMI to define sarcopenia.
- Population-specific reference values are crucial for accurate diagnostic criteria.
Purpose of the Study:
- To establish normative appendicular lean mass adjusted for body mass index (ALM/BMI) values for Australian adults.
- To compare the performance of Australian-derived ALM/BMI cutpoints with FNIH Sarcopenia Project criteria.
- To assess the agreement between FNIH and population-specific cutpoints for identifying low lean mass in older adults.
Main Methods:
- Dual-energy X-ray absorptiometry (DXA) was used to measure body composition in 1411 men and 960 women aged 20-93 years.
- Sex-stratified ALM/BMI means and standard deviations were calculated for each age decade.
- Cutpoints equivalent to a T-score of -2.0 were derived from reference data of younger adults (20-39 years).
Main Results:
- Mean ALM/BMI values were higher in men than women and decreased with age in both sexes.
- Derived cutpoints for ALM/BMI were 0.827 m² for men and 0.518 m² for women.
- High agreement (94.6% for men, 99.0% for women) was observed between FNIH and derived cutpoints for identifying low lean mass in adults aged 65+ years.
Conclusions:
- Normative ALM/BMI values and age- and sex-specific cutpoints were established for Australian adults.
- The FNIH Sarcopenia Project criteria demonstrated good agreement with population-specific cutpoints, particularly for women.
- These findings support the use of ALM/BMI for identifying clinically significant low lean mass within diverse populations.
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