Related Experiment Video
Updated: Jun 12, 2026

07:33
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
Published on: November 8, 2024
Fat-free mass index: changes and race/ethnic differences in adulthood
1Department of Medicine, New York Obesity Nutrition Research Center, St Luke's-Roosevelt Hospital, New York, NY, USA. holly-hull@ouhsc.edu
International Journal of Obesity (2005)
|June 10, 2010
Summary
The fat-free mass index (FFMI) varies significantly across racial/ethnic groups and genders. FFMI differs by ethnicity, with African Americans having the highest and Asians the lowest, and declines with age, especially in males.
Area of Science:
- Human Physiology
- Body Composition Analysis
- Nutritional Science
Background:
- Standard nutritional assessments like Body Mass Index (BMI) and percent body fat (%fat) can misclassify individuals.
- Fat-free mass index (FFMI) offers a height-corrected measure of body composition, useful for identifying malnutrition or high muscle mass.
Purpose of the Study:
- To investigate whether FFMI differs among racially/ethnically diverse adult populations.
- To explore the relationship between FFMI, age, and gender in a multi-ethnic sample.
Main Methods:
- A cross-sectional study involving 1339 healthy adults (480 males, 859 females) across Caucasian, African American, Hispanic, and Asian groups.
- Dual energy X-ray absorptiometry (DXA) was used to estimate total body fat, total fat-free mass, and bone mineral density.
Main Results:
- FFMI significantly differed among the four ethnic groups for both genders (P ≤ 0.05).
- A curvilinear relationship between age and FFMI was observed, with FFMI declining earlier in males (mid-20s) than females (mid-40s).
- African Americans exhibited the highest FFMI, while Asians had the lowest (P ≤ 0.001); males consistently had higher FFMI than females (P ≤ 0.001).
Conclusions:
- FFMI provides valuable clinical insights, identifying individuals potentially misclassified by BMI or %fat due to low fat-free mass relative to height.
- These findings highlight ethnic and gender-specific variations in body composition that should be considered in clinical assessments.
