Body composition measurements in normal man: The potassium, sodium, sulfate and tritium spaces in 58 adults

Pierson, Richard N.; Wang, J.; Colt, Edward; Neumann, Paul

doi:10.1016/0021-9681(82)90056-x

Cited by 90 publications

(63 citation statements)

References 19 publications

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“…40 K, a natural radioisotope of potassium, was used for estimation of TBK by using a whole body counter (30). TBK (in mmol) was estimated as 40 K/0.0118, and body cell mass was measured as 0.00883 ⅐ TBK (24,26).…”

Section: Measurementmentioning

confidence: 99%

“…The hydration state of FFM is calculated from MRI and dilution methods and is assumed to be similar in each body segment. The hydration status of FFM is relatively stable (TBW/FFM ϭ 0.73) in normal healthy subjects (24). However, because of fluid retention due to lack of kidney excretory function, the hydration status of FFM in HD patients may be higher than in healthy subjects.…”

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confidence: 99%

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Segment-specific resistivity improves body fluid volume estimates from bioimpedance spectroscopy in hemodialysis patients

Zhu¹,

Kuhlmann²,

Kaysen³

et al. 2006

Journal of Applied Physiology

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Section: Measurementmentioning

confidence: 99%

mentioning

confidence: 99%

Segment-specific resistivity improves body fluid volume estimates from bioimpedance spectroscopy in hemodialysis patients

Zhu¹,

Kuhlmann²,

Kaysen³

et al. 2006

Journal of Applied Physiology

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“…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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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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“…23 The tritium space was then converted into TBW (in kg) by multiplying with the correction factor for non-aqueous hydrogen exchange and water density at 36 C (TBW 3 H 2 O 6 0.96 6 0.994).…”

Section: Body Composition Measurementsmentioning

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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Body composition measurements in normal man: The potassium, sodium, sulfate and tritium spaces in 58 adults

Cited by 90 publications

References 19 publications

Segment-specific resistivity improves body fluid volume estimates from bioimpedance spectroscopy in hemodialysis patients

Segment-specific resistivity improves body fluid volume estimates from bioimpedance spectroscopy in hemodialysis patients

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

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

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