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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
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Dual energy X-Ray absorptiometry body composition reference values from NHANES
Thomas L Kelly1, Kevin E Wilson, Steven B Heymsfield
1Hologic, Inc., Bedford, Massachusetts, USA. tkelly@hologic.com
Plos One
|September 16, 2009
Summary
This study provides dual energy x-ray absorptiometry (DXA) reference values for body composition, including fat and lean mass, for individuals aged 8-85. These data establish new obesity classification thresholds using the Fat Mass Index (FMI) for diverse populations.
Area of Science:
- Body composition analysis
- Public health research
- Anthropometry
Background:
- Dual energy x-ray absorptiometry (DXA) provides detailed body composition data.
- National Health and Nutrition Examination Survey (NHANES) data offers a population-based sample.
- Previous DXA datasets lacked comprehensive reference values across age and diverse populations.
Purpose of the Study:
- To establish age- and sex-specific DXA whole body reference values for body fat, lean mass, and bone mineral content.
- To develop Fat Mass Index (FMI) classification thresholds analogous to Body Mass Index (BMI).
- To provide normative data for clinical, research, and epidemiological applications.
Main Methods:
- Utilized a 1999-2004 NHANES dataset of fan beam DXA scans from 15 US counties.
- Analyzed whole body DXA measures including %fat, fat mass/height(2), lean mass/height(2), BMC, and BMD.
- Partitioned data by gender and ethnicity; normalized values for age, height, or lean mass as appropriate.
Main Results:
- Generated comprehensive DXA reference values for adults (8-85 years) and children.
- Established Fat Mass Index (FMI) classification thresholds based on BMI criteria.
- Provided reference data stratified by gender and ethnicity.
Conclusions:
- The developed DXA reference values and FMI thresholds are valuable tools for assessing body composition abnormalities.
- These data support clinical evaluations, research, and epidemiological studies in diverse populations.
- The findings aid in establishing criteria for clinical trials and understanding population health trends.
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