Assessment of Body Composition With Use of Dual-Energy X-ray Absorptiometry: Evaluation and Comparison With Other Methods

Jensen, Michael D.; Kanaley, Jill A.; Roust, Lori R.; O’Brien, Peter C.; Braun, Janelle S.; Dunn, William L.; Wahner, Heinz W.

doi:10.1016/s0025-6196(12)60695-8

Cited by 193 publications

(119 citation statements)

References 15 publications

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“…In our study body composition was measured by DXA and REE was measured using indirect calorimetry under carefully controlled conditions. DXA is an accurate and reproducible method for assessing body fat (triglyceride) mass; 11,24 however, it should be remembered that DXA FFM includes the 10 ± 15% of adipose tissue that is not triglyceride. In the present analysis, both FFM and fat mass were predictors of REE.…”

Section: Discussionmentioning

confidence: 99%

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Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid

et al. 2000

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OBJECTIVE: The objective of this study was to determine whether there are independent effects of extracellular¯uid volume (ECF) and fat mass (FM) on resting energy expenditure (REE) relative to fat-free mass (FFM) in adult men and women. METHODS: Multiple linear regression analysis was used to relate REE, as determined by indirect calorimetry, to FFM and FM (measured using dual energy X-ray absorptiometry) and ECF (measured using bromide space andaor the radiosulfate washout space) in 153 women and 100 men with varying amounts of body fat. RESULTS: REE correlated signi®cantly with FFM and FM in women (r 0.65 and r 0.63, both P`0.001) and men (r 0.62 and r 0.48, both P`0.001, FFM and FM, respectively). In a multiple linear regression analysis FFM, FM and age signi®cantly contributed to the ability to predict REE in both genders. The models that were derived were not signi®cantly different between women and men. In women the contribution to REE from FM was easier to detect when FM was greater. Adjustment of FFM for ECF did not improve the relationship between FFM and REE. CONCLUSIONS: FFM, FM and age are signi®cant, independent predictors of REE in both men and women. Adjustment of FFM for ECF does not improve the ability of FFM to predict REE, which suggests that ECF is a highly integrated component of FFM in healthy adults. Expressing REE relative to FFM alone will introduce errors when lean and obese populations are compared.

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Section: Discussionmentioning

confidence: 99%

“…11 Extracellular¯uid volume was measured using bromide ion chromatography 12 andaor the radiosulfate washout technique 13 as previously described. Body mass index (BMI) was calculated as body weight (kg)aheight (m) 2 .…”

Section: Body Compositionmentioning

confidence: 99%

Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid

et al. 2000

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“…Furthermore the total body composition, ie fat body mass and fat free mass, was assessed at baseline and after 6 and 12 months using dual-energy X-ray absorptiometry (DXA; Hologic QDR 2000). 26,27 Biological parameters Blood samples for measurement of bone markers were collected in the morning after an overnight fast. Serum corrected calcium (total calcium=((total proteins=160) þ 0.55); Ca), phosphate (P), alkaline phosphatase (AP), aspartate aminotransferase (ASAT), alanine aminotransferase (ALAT), g-glutamiltransferase (gGT), bilirubin, urea, creatinine, uric acid and total proteins were measured by the SSCC 37 C method, using an automatic Hitachi 917 Roche, with Roche and BioMérieux kits.…”

Section: Anthropometric Measuresmentioning

confidence: 99%

Bone metabolism and risk of secondary hyperparathyroidism 12 months after gastric banding in obese pre-menopausal women

et al. 2003

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OBJECTIVE:To evaluate, during the first postoperative year in obese pre-menopausal women, the effects of laparoscopic gastric banding on calcium and vitamin D metabolism, the potential modifications of bone mineral content and bone mineral density, and the risk of development of secondary hyperparathyroidism. SUBJECTS: Thirty-one obese pre-menopausal women aged between 25 and 52 y with a mean body mass index (BMI) of 43.6 kg=m 2 , scheduled for gastric banding were included. Patients with renal, hepatic, metabolic and bone disease were excluded. METHODS: Body composition and bone mineral density (BMD) were measured at baseline, 6 and 12 months after gastric banding using dual-energy X-ray absorptiometry. Serum calcium, phosphate, alkaline phosphatase, aspartate aminotransferase, alanine aminotransferase, g-glutamyltransferase, bilirubin, urea, creatinine, uric acid, proteins, parathormone, vitamin D 3 , IGF-1, IGF-BP3 and telopeptide, as well as urinary telopeptide, were measured at baseline and 1, 3, 6, 9 and 12 months after surgery. RESULTS: After 1 y vitamin D3 remained stable and PTH decreased by 12%, but the difference was not significant. Serum telopeptide C increased significantly by 100% (P < 0.001). There was an initial drop of the IGF-BP3 during the first 6 months (P < 0.05), but the reduction was no longer significant after 1 y. The BMD of cortical bone (femoral neck) decreased significantly and showed a trend of a positive correlation with the increase of telopeptides (P < 0.06). The BMD of trabecular bone, at the lumbar spine, increased proportionally to the reduction of hip circumference and of body fat. CONCLUSION: There is no evidence of secondary hyperparathyroidism 1 y after gastric banding. Nevertheless biochemical bone markers show a negative remodelling balance, characterized by an increase of bone resorption. The serum telopeptide seems to be a reliable parameter, not affected by weight loss, to follow up bone turnover after gastroplasty.

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“…Methods of the second group are model-dependent or`mechanistic' and are derived from well-known stable body composition component relationships. Examples of model dependent methods include the total body potassium (TBK) method of Forbes, 2,3 the total body water (TBW) method of Pace and Rathbun, 4 the densitometry methods introduced and extended by Siri 5 and Brozek et al, 6 the newly developed dual energy X-ray absorptiometry (DXA) approach, 7 and multicompartment models. 8 Although numerous statistically-derived and model-based methods are available, fat estimates in individuals often differ, sometimes substantially, from each other.…”

Section: Introductionmentioning

confidence: 99%

Six-compartment body composition model: Inter-method comparisons of total body fat measurement

et al. 1998

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OBJECTIVE: To compare 16 currently used total body fat methods to a six-compartment criterion model based on in vivo neutron activation analysis. DESIGN: Observational, inter-method comparison study. SUBJECTS: Twenty-three healthy subjects (17 male and 6 female). MEASUREMENTS: Total body water (TBW) was measured by tritium dilution; body volume by underwater weighing (UWW); total body fat and bone mineral by dual-energy X-ray absorptiometry (DXA), total body potassium (TBK) by whole-body 40 K counting; total body carbon, nitrogen, calcium, phosphorus, sodium and chlorine by in vivo neutron activation analysis; skinfolds/circumferences by anthropometry (Anth); and resistance by single-frequency bioimpedance analysis (BIA). RESULTS: The average of total body fat mass measurements by the six-compartment neutron activation model was 19.7 AE 10.2 kg (mean AE s.d.) and comparable estimates by other methods ranged from 17.4±24.3 kg. Although all 16 methods were highly correlated with the six-compartment criterion model, three groups emerged based on their comparative characteristics (technical error, coef®cient of reliability, Bland-Altman analysis) relative to criterion fat estimates, in decreasing order of agreement: 1. multi-compartment model methods of Baumgartner (19.5 AE 9.9 kg), Heyms®eld (19.6 AE 9.9 kg), Selinger (19.7 AE 10.2 kg) and Siri-3C (19.6 AE 9.9 kg); 2. DXA (20.0 AE 10.8 kg), Pace-TBW (18.8 AE 10.1 kg), Siri-2C (20.0 AE 9.9 kg), and Brozek-UWW (19.4 AE 9.2 kg) methods; and 3. Segal-BIA (17.4 AE 7.2 kg), Forbes-TBN (21.8 AE 10.5 kg), Durnin-Anth (22.1 AE 9.5 kg), Forbes-TBK (22.9 AE 11.9 kg), and Steinkamp-Anth (24.3 AE 9.5 kg) methods. CONCLUSION: Relative to criterion fat estimates, body composition methods can be organized into three groups based on inter-method comparisons including technical error, coef®cient of reliability and Bland-Altman analysis. These initial groupings may prove useful in establishing the clinical and research role of the many available fat estimation methods.

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Assessment of Body Composition With Use of Dual-Energy X-ray Absorptiometry: Evaluation and Comparison With Other Methods

Cited by 193 publications

References 15 publications

Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid

Body composition and resting energy expenditure in humans: role of fat, fat-free mass and extracellular fluid

Bone metabolism and risk of secondary hyperparathyroidism 12 months after gastric banding in obese pre-menopausal women

Six-compartment body composition model: Inter-method comparisons of total body fat measurement

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