Validation of air-displacement plethysmography for estimation of body fat mass in healthy elderly subjects

Bosy‐Westphal, Anja; Mast, Mareike; Eichhorn, Christine; Becker, Christine; Kutzner, D; Heller, Martin; Müller, Manfred J.

doi:10.1007/s00394-003-0416-4

Cited by 38 publications

(46 citation statements)

References 35 publications

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“…Somewhat surprisingly, however, ADP was not superior to weight for assessing body composition in males, especially considering that it was superior also to the combination of ZI 100 and weight in females. Even if the interindividual variability of FFM was similar in males and females, as detected by a CV of 11% for both genders, differences in FFM composition may be the main reason for the different performance of ADP and BIA in males and females (Bosy-Westphal et al, 2003). This study has several limitations.…”

Section: Discussionmentioning

confidence: 80%

“…ADP is less invasive than water-displacement plethysmography, which requires immersion into water and, contrarily to DXA, does not expose to ionizing radiations. ADP has thus a great potential for assessing body composition in the elderly, but few validation studies are available so far (Yee et al, 2001;Bosy-Westphal et al, 2003;Fields and Hunter, 2004;Alemán-Mateo et al, 2007). Bioelectrical impedance analysis (BIA) is presently regarded as the best option for the assessment of FFM in epidemiological studies (Heymsfield et al, 2000;Chumlea et al, 2002;Malavolti et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of air-displacement plethysmography and bioelectrical impedance analysis vs dual-energy X-ray absorptiometry for the assessment of fat-free mass in elderly subjects

et al. 2007

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Objective: To evaluate air-displacement plethysmography (ADP) and bioelectrical impedance analysis (BIA) vs dual-energy X-ray absorptiometry (DXA) for the assessment of fat-free mass (FFM) in healthy elderly subjects. Subjects: Forty-two women and twenty-six men aged 60-84 years. Methods: FFM was measured by DXA and ADP. Body impedance (Z) was measured by four-polar BIA and the impedance index (ZI) was calculated as stature 2 /Z. Selection of predictors (gender, age, weight and ZI at 5, 50 and 100 kHz) for BIA algorithms was carried out using bootstrapped stepwise linear regression on 1000 samples of 68 subjects. Limits of agreement were used as measures of interchangeability of ADP and BIA with DXA. Results: The limits of agreement of ADP vs DXA were À11.0 to 2.4 kg in males and À4.8 to 2.2 kg in females. Gender, weight and ZI 100 were selected as predictors of FFM by bootstrapped stepwise linear regression. In males, ZI 100 (À12.2 to 12.2 kg) was much less accurate than weight (À6.0 to 6.0 kg) at predicting FFM and their combination did not improve the estimate (À6.0 to 6.0 kg). In females, ZI 100 (À6.8 to 6.8 kg) was less accurate than weight (À5.6 to 5.6 kg) at predicting FFM and their combination improved the estimate only slightly (À5.0 to 5.0 kg). Conclusions: In healthy elderly subjects, (1) ADP and DXA are not interchangeable for the assessment of FFM, especially in males; and (2) ZI 100 is not superior to weight for the prediction of FFM and their combination is of little advantage and only in females.

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Section: Discussionmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Evaluation of air-displacement plethysmography and bioelectrical impedance analysis vs dual-energy X-ray absorptiometry for the assessment of fat-free mass in elderly subjects

et al. 2007

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“…All have been shown to agree with UWW to within 5%. [12][13][14][15][16] The method of bioelectrical impedance (BIA) has received much attention as a convenient alternative to the more cumbersome methods listed above. However, BIA has not been validated in obese subjects or with weight loss and studies using it were excluded from the analysis.…”

Section: Methodsmentioning

confidence: 99%

Changes in fat-free mass during significant weight loss: a systematic review

2006

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Objective: To identify the proportion of weight lost as fat-free mass (FFM) by various weight loss interventions. Methods: Medline and Embase were systematically searched for reliable measurements of FFM before and after weight loss of 410 kg and eligible data were pooled. In a fixed effect model of % FFM loss/weight loss (%FFML), linear regression analysis was used to determine the influence of degree of caloric restriction, exercise, magnitude of weight loss, initial body mass index (BMI) and type of surgery. Results: Data were included from 26 cohorts treated with dietary and behavioral interventions and 29 cohorts of bariatric surgery patients. The degree of caloric restriction was positively associated with %FFML (r 2 ¼ 0.31, P ¼ 0.006) and in three randomized controlled trials exercise was shown to decrease %FFML. Compared with laparoscopic adjustable gastric banding (LAGB), biliopancreatic diversion (BPD) and roux en Y gastric bypass (RYGB) caused greater log e (natural log) %FFML (r 2 ¼ 0.453, Po0.001). Differences in log e %FFML between surgical procedures were independent of initial BMI and magnitude of weight loss. Conclusions: The degree of caloric restriction, exercise and rate of weight loss influence the proportion of weight lost as FFM after non-surgical interventions. For surgical interventions, BPD and RYGB result in greater %FFML than LAGB.

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“…Air-displacement plethysmography was performed by the BOD-POD s device as described in detail elsewhere. 26 Briefly, subjects were measured in tight-fitting underwear and a swimming cap. Two repeated measurements of body volume were performed and averaged.…”

Section: Anthropometric Measurements and Body Composition Analysismentioning

confidence: 99%

Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

et al. 2005

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Objective: To compare the value of body fat mass (%FM) to indirect measures of general (body mass index (BMI)) and central adiposity (waist circumference (WC); waist-to-height ratio (WC/ht)) for the prediction of overweight-and obesity-related metabolic risk in a study population with a high prevalence of metabolic syndrome (MSX). Methods: BMI, WC, WC/ht, body composition (by air-displacement plethysmography) and metabolic risk factors: triglycerides, cholesterol, HDL-cholesterol (HDL-C), uric acid, systolic blood pressure (BPsys), insulin resistance by homeostasis model assessment (HOMA-IR) and C-reactive protein (CRP) were measured in 335 adults (191 women, 144 men; mean age 53 713.9 years, prevalence of MSX 30%). Results: When compared with BMI and WC, %FM showed weaker associations with metabolic risk factors, except for CRP and BPsys in men. In women, HDL-C and HOMA-IR showed the closest correlations with BMI. For all other risk factors, WC or WC/ht were the best predictors in both sexes. Differences in the strength of correlations between an obesity index and different risk factors exceeded the differences observed between all obesity indices within one risk factor. In stepwise multiple regression analyses, WC/ht was the main predictor of metabolic risk in both sexes combined. However, analysis of the area under receiver operating characteristic curves for prediction of the prevalence of X2 component traits of the MSX revealed a similar accuracy of all obesity indices. Conclusions: At the population level, measurement of body FM has no advantage over BMI and WC in the prediction of obesityrelated metabolic risk. Although measures of central adiposity (WC, WC/ht) tended to show closer associations with risk factors than measures of general adiposity, the differences were small and depended on the type of risk factor and sex, suggesting an equivalent value of methods.

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Validation of air-displacement plethysmography for estimation of body fat mass in healthy elderly subjects

Cited by 38 publications

References 35 publications

Evaluation of air-displacement plethysmography and bioelectrical impedance analysis vs dual-energy X-ray absorptiometry for the assessment of fat-free mass in elderly subjects

Evaluation of air-displacement plethysmography and bioelectrical impedance analysis vs dual-energy X-ray absorptiometry for the assessment of fat-free mass in elderly subjects

Changes in fat-free mass during significant weight loss: a systematic review

Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors

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