Comparison of air-displacement plethysmography with hydrostatic weighing and bioelectrical impedance analysis for the assessment of body composition in healthy adults

Biaggi, Robert R; Vollman, Michael; Nies, Mary A.; Brener, C; Flakoll, Paul J.; Levenhagen, Deanna K.; Sun, Mei; Karabulut, Zafer; Chen, Kong Y.

doi:10.1093/ajcn/69.5.898

Cited by 121 publications

(97 citation statements)

References 16 publications

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“…In addition, no systematic variation in estimates of Db were observed in subjects varying widely in %fat estimates (6.5% ± 51.1%) and in age (18 ± 55 y), suggesting that the accuracy of the BOD POD extends to a diverse range of body fatness and ages. These results as well as the results of Nunez et al, 1 Biaggi et al, 2 and McCrory et al, 3 support the use of the BOD POD estimates of density as a substitute for UWW in adults.…”

Section: Discussionsupporting

confidence: 65%

Validation of the BOD POD with hydrostatic weighing: Influence of body clothingin

2000

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OBJECTIVE: Whole body air-displacement plethysmography (BOD POD), a new body composition technique, was validated against hydrodensitometry (UWW) in 67 women wearing a one-piece swimsuit (OP) who represent a wide range of body fatness and age. Additionally, the effect of trapped isothermic air in clothing while in the BOD POD was examined by comparing different clothing schemes (a one-piece swimsuit (OP), two-piece swimsuit (TP), a hospital gown (HG), and a hospital gown previously included in a volume calibration (GC)) in a subset of 25 women. DESIGN: Cross-sectional data analysis. SUBJECTS: 67 healthy Caucasian females. MEASUREMENTS: Body density gacm 3 (Db) by BOD POD and UWW. RESULTS: In 67 females UWW Db (1.030 AE 0.020 gacm 3 ) was higher (P`0.01) than BOD POD Db (1.028 AE 0.020 gacm 3 ). This is a difference of 1.0% fat. The R 2 was 0.94, SEE was 0.005 gacm 3 and the regression between Db by UWW and BOD POB did not signi®cantly deviate from the line of identity. In the subset group of 25 subjects, OP Db (1.040 AE 0.014 gacm 3 ) and TP Db (1.040 AE 0.014 gacm 3 ) were signi®cantly lower (P`0.01) than UWW Db (1.044 AE 0.014 gacm 3 ) or a difference of 1.9% fat. The R 2 was 0.86 and the SEE was 0.005 gacm 3 and the regression between Db by UWW and both OP and TP did not signi®cantly deviate from the line of identity. HG Db (1.056 AE 0.016 gacm 3 ) and GC Db (1.037 AE 0.016 gacm 3 ) were signi®cantly different (P`0.01) from UWW Db (1.044 AE 0.014 gacm 3 ). This difference in density translates to a difference of 5.5% and 3.2% fat respectively. The regression between Db by UWW and both HG and GC signi®cantly deviated from the line of identity. CONCLUSION: This study supports the use of the BOD POD as a substitute for UWW. However, caution should be made in using the BOD POD if subjects are clothed in anything other than a tight ®tting swimsuit.

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Section: Discussionsupporting

confidence: 65%

Validation of the BOD POD with hydrostatic weighing: Influence of body clothingin

2000

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“…Whole-body ADP is a new practical alternative method (McCrory et al, 1995;Biaggi et al, 1999;Nunez et al, 1999) to more traditional body-composition reference methods. The ADP and hydrostatic weighing densitometry agree within 1% BF in adults (Fields et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

Use of hand-to-hand impedancemetry to predict body composition of African women as measured by air displacement plethysmography

et al. 2004

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Objectives: To test the validity of a simple, rapid, field-adapted, portable hand-held impedancemeter (HHI) for the estimation of lean body mass (LBM) and percentage body fat (%BF) in African women, and to develop specific predictive equations. Design: Cross-sectional observational study. Settings: Dakar, the capital city of Senegal, West Africa. Subjects: A total sample of 146 women volunteered. Their mean age was of 31.0 y (s.d. 9.1), weight 60.9 kg (s.d. 13.1) and BMI 22.6 kg/m 2 (s.d. 4.5). Methods: Body composition values estimated by HHI were compared to those measured by whole body densitometry performed by air displacement plethysmography (ADP). The specific density of LBM in black subjects was taken into account for the calculation of %BF from body density. Results: Estimations from HHI showed a large bias (mean difference) of 5.6 kg LBM (Po10 À4 ) and À8.8 %BF (Po10 À4 ) and errors (s.d. of the bias) of 2.6 kg LBM and 3.7 %BF. In order to correct for the bias, specific predictive equations were developed. With the HHI result as a single predictor, error values were of 1.9 kg LBM and 3.7 %BF in the prediction group (n ¼ 100), and of 2.2 kg LBM and 3.6 %BF in the cross-validation group (n ¼ 46). Addition of anthropometrical predictors was not necessary. Conclusions: The HHI analyser significantly overestimated LBM and underestimated %BF in African women. After correction for the bias, the body compartments could easily be estimated in African women by using the HHI result in an appropriate prediction equation with a good precision. It remains to be seen whether a combination of arm and leg impedancemetry in order to take into account lower limbs would further improve the prediction of body composition in Africans.

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“…Body volume is obtained from chamber gas pressure difference under isothermal conditions, applying Boyle's and Poisson's laws. The principles of densitometry are then applied, where body density is calculated as total body mass in kilograms (kg)/body volume (L) 7, 13, 14, 15. Then, body density is used in the Siri's formula to derive BF mass (BF mass=[4.95/body density−4.50]×100) 16.…”

Section: Methodsmentioning

confidence: 99%

Association Between Adiposity and Lean Mass With Long‐Term Cardiovascular Events in Patients With Coronary Artery Disease: No Paradox

Medina‐Inojosa

Somers

Thomas

et al. 2018

JAHA

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BackgroundPrognosis based on body fat percentage (BF%) in patients with coronary artery disease has not been extensively studied. We tested the hypothesis that patients with coronary artery disease and increased BF% have a higher risk for major adverse cardiovascular events (MACEs) and that fat‐free mass is associated with better prognosis.Methods and ResultsWe included 717 patients referred to cardiac rehabilitation after coronary artery disease events or procedures who underwent air displacement plethysmography to assess BF%; 75% were men, with a mean age 61.4±11.4 years and a mean body mass index of 30±5.4 kg/m2. Follow‐up was performed using a record linkage system. Patients were classified in sex‐specific quartiles of BF% and fat‐free mass index. The composite outcome of MACEs included acute coronary syndromes, coronary revascularization, stroke, or death from any cause. After a median follow‐up of 3.9 years, 201 patients had a MACE. After adjusting for covariates, body mass index was not associated with MACEs (P=0.12). However, the risk of MACEs for those in the highest BF% quartile was nearly double when compared with those in the lowest quartile (hazard ratio, 1.89; 95% confidence interval, 1.30–2.77; P=0.0008). In contrast, fat‐free mass was inversely associated with MACEs. The risk of MACEs for those in the fourth fat‐free mass quartile was lower (adjusted hazard ratio, 0.53; 95% confidence interval, 0.35–0.82; P=0.004), when compared with those in the first quartile.ConclusionsIn patients with coronary artery disease, there is no obesity paradox when measuring BF% instead of body mass index. BF% is associated with a higher risk of MACEs, whereas fat‐free mass is associated with a lower risk of MACEs. Body mass index was not associated with MACEs.

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Comparison of air-displacement plethysmography with hydrostatic weighing and bioelectrical impedance analysis for the assessment of body composition in healthy adults

Cited by 121 publications

References 16 publications

Validation of the BOD POD with hydrostatic weighing: Influence of body clothingin

Validation of the BOD POD with hydrostatic weighing: Influence of body clothingin

Use of hand-to-hand impedancemetry to predict body composition of African women as measured by air displacement plethysmography

Association Between Adiposity and Lean Mass With Long‐Term Cardiovascular Events in Patients With Coronary Artery Disease: No Paradox

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