2002
DOI: 10.1093/ajcn/76.5.991
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Bioelectrical impedance analysis models for prediction of total body water and fat-free mass in healthy and HIV-infected children and adolescents,,

Abstract: This study confirms that BIA prediction models may not be appropriate for individual evaluation but are suitable for population studies. Additional variables may be necessary to eliminate bias for specific subgroups.

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Cited by 116 publications
(108 citation statements)
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“…Various approaches to the use of whole body and segmental bioimpedance have been made for assessment of body composition and body fluid volumes in HD patients (4,5,17,31). For WBIS, the body is assumed to be a uniform cylinder with homogeneous conductivity, whereas for SBIS the body is viewed as several cylinders of differing sizes connected in parallel and in series.…”
Section: Discussionmentioning
confidence: 99%
“…Various approaches to the use of whole body and segmental bioimpedance have been made for assessment of body composition and body fluid volumes in HD patients (4,5,17,31). For WBIS, the body is assumed to be a uniform cylinder with homogeneous conductivity, whereas for SBIS the body is viewed as several cylinders of differing sizes connected in parallel and in series.…”
Section: Discussionmentioning
confidence: 99%
“…In subjects with CP as well as in controls, height and weight were measured (20), BMI was calculated (21), and body composition was measured using bioelectric impedance analysis (Body stat QuadScan 4000; Bodystat, Isle of Man, UK), a method validated in children (22,23). Pubertal stage was assessed by physical examination according to the Tanner criteria (24,25).…”
Section: Subjectsmentioning
confidence: 99%
“…Ideally, body composition measurement techniques in children with chronic diseases need to be quick, noninvasive and acceptable for repeated measures. The prediction of total body water (TBW) by bioelectrical impedance analysis (BIA) and in turn, body composition, is an inexpensive technique which has applicability across a range of chronic diseases where standard body composition models are inaccurate 6,7 . Diseases such as juvenile rheumatoid arthritis and crohn's disease, in which chronic inflammation and sub clinical malnutrition combined with use of corticosteroids is an example where BIA with disease specific equations has proven to be a useful means of tracking nutritional status overtime 8,9 .…”
Section: Introductionmentioning
confidence: 99%