Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex. (December 2020)
- Record Type:
- Journal Article
- Title:
- Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex. (December 2020)
- Main Title:
- Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex
- Authors:
- Smith-Ryan, Abbie E.
Blue, Malia N.M.
Hirsch, Katie R.
Brewer, Gabrielle J. - Abstract:
- Summary: Background & aims: Body composition assessment has large variability. A dual-energy x-ray absorptiometry (DXA) derived four compartment (4C) method has been developed as an accurate and reliable method for assessing body composition in overweight/obese adults. This investigation was aimed at understanding the validity of the DXA-derived 4C equation for use in normal weight individuals, stratified by sex, and with varied levels of lean mass. Values were also compared against DXA alone. Methods: 78 men and women (68% female; Mean ± SD; Age: 19.2 ± 1.2 yrs; Ht: 168.8 ± 9.1 cm; Wt: 62.8 ± kg) completed a traditional 4C body composition reference assessment. Body composition was also assessed using a DXA-4C model. Validity was evaluated from total error (TE), constant error, and standard error of the estimate (SEE). Proportional bias was identified with Bland Altman plots. Results: Although significantly different (p < 0.05) the DXA-4C model produced ideal TE and SEE compared to the 4C criterion for all body composition outcomes of fat mass (TE: 2.1 kg; SEE: 1.9 kg), lean mass (TE: 2.1 kg; SEE: 1.8 kg), and percent body fat (TE: 3.6%; SEE: 3.4%). Validity results did not differ for men vs. women. DXA-4C estimates were slightly better in individuals with higher lean mass. DXA alone resulted in significantly greater error than DXA-4C (p < 0.05). Conclusion: Body composition assessed from DXA-4C is an accurate approach, particularly in those with high levels of lean mass.Summary: Background & aims: Body composition assessment has large variability. A dual-energy x-ray absorptiometry (DXA) derived four compartment (4C) method has been developed as an accurate and reliable method for assessing body composition in overweight/obese adults. This investigation was aimed at understanding the validity of the DXA-derived 4C equation for use in normal weight individuals, stratified by sex, and with varied levels of lean mass. Values were also compared against DXA alone. Methods: 78 men and women (68% female; Mean ± SD; Age: 19.2 ± 1.2 yrs; Ht: 168.8 ± 9.1 cm; Wt: 62.8 ± kg) completed a traditional 4C body composition reference assessment. Body composition was also assessed using a DXA-4C model. Validity was evaluated from total error (TE), constant error, and standard error of the estimate (SEE). Proportional bias was identified with Bland Altman plots. Results: Although significantly different (p < 0.05) the DXA-4C model produced ideal TE and SEE compared to the 4C criterion for all body composition outcomes of fat mass (TE: 2.1 kg; SEE: 1.9 kg), lean mass (TE: 2.1 kg; SEE: 1.8 kg), and percent body fat (TE: 3.6%; SEE: 3.4%). Validity results did not differ for men vs. women. DXA-4C estimates were slightly better in individuals with higher lean mass. DXA alone resulted in significantly greater error than DXA-4C (p < 0.05). Conclusion: Body composition assessed from DXA-4C is an accurate approach, particularly in those with high levels of lean mass. This model appears to be more accurate than DXA alone. … (more)
- Is Part Of:
- Clinical nutrition ESPEN. Volume 40(2020)
- Journal:
- Clinical nutrition ESPEN
- Issue:
- Volume 40(2020)
- Issue Display:
- Volume 40, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 40
- Issue:
- 2020
- Issue Sort Value:
- 2020-0040-2020-0000
- Page Start:
- 401
- Page End:
- 405
- Publication Date:
- 2020-12
- Subjects:
- Fat mass -- Muscle mass -- Percent body fat -- Fat free mass -- Validity
Nutritionally induced diseases -- Periodicals
Metabolism -- Disorders -- Periodicals
616.39005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/24054577 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.clnesp.2020.09.033 ↗
- Languages:
- English
- ISSNs:
- 2405-4577
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15537.xml