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Assessment of body composition by dual‐energy X ‐ray absorptiometry, bioimpedance analysis and anthropometrics in children: the P hysical A ctivity and N utrition in C hildren study
Author(s) -
Tompuri Tuomo T.,
Lakka Timo A.,
Hakulinen Mikko,
Lindi Virpi,
Laaksonen David E.,
Kilpeläinen Tuomas O.,
Jääskeläinen Jarmo,
Lakka HannaMaaria,
Laitinen Tomi
Publication year - 2015
Publication title -
clinical physiology and functional imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.608
H-Index - 67
eISSN - 1475-097X
pISSN - 1475-0961
DOI - 10.1111/cpf.12118
Subject(s) - anthropometry , medicine , dual energy x ray absorptiometry , fat mass , body fat percentage , lean body mass , waist , zoology , intraclass correlation , fat accumulation , waist–hip ratio , nuclear medicine , endocrinology , body mass index , body weight , adipose tissue , biology , bone mineral , clinical psychology , osteoporosis , psychometrics
Summary Objective and methods We compared I n B ody 720 segmental multifrequency bioimpedance analysis ( SMF ‐ BIA ) with L unar P rodigy A dvance dual‐energy X ‐ray absorptiometry ( DXA ) in assessment of body composition among 178 predominantly prepubertal children. Segmental agreement analysis of body compartments was carried out, and inter‐relationships of anthropometric and other measures of body composition were defined. Moreover, the relations of different reference criteria for excess body fat were evaluated. Results The prevalence of excess body fat varies greatly according to the used criteria. Intraclass and P earson's correlations between SMF ‐ BIA and DXA were >0·92 in total body and >0·74 in regional measures. SMF ‐ BIA underestimated percentage body fat (% BF ) and fat mass ( FM ), and overestimated lean mass ( LM ) and percentage LM with significant offset trend bias. Higher adiposity increased offsets, and overall agreement was poorer in girls. On average, % BF offsets (girls/boys) and limits of agreement ( LA ) were 3·9/1·6% [(−)1·4–9·2%/(−)3·4–6·7%]. Interestingly percentage offsets of fat content (% BF : 18·9/10·1%, FM : 18·8/11·1%) showed no significant bias trends indicating that the corresponding absolute methodological offset depends on the amount of fat content. The smallest percentage offset was found with LM : 4·3/0·1%, referring offset ( LA ) of 0·88/0·03 kg (±2·05/±1·71 kg). Correspondingly, segmental LM had poorer agreement than total body LM . All anthropometrics except for the waist‐to‐hip ratio showed strong correlations ( r = 0·76–0·95) with abdominal and total body fat. Conclusion Segmental multifrequency bioimpedance analysis is precise enough for total‐ LM analysis and had also sufficient trueness for total body composition analysis to be used in epidemiological purposes. There is need to generate scientifically and clinically relevant criteria and reference values for excess body fat.