Tompuri Tuomo T, Lakka Timo A, Hakulinen Mikko, Lindi Virpi, Laaksonen David E, Kilpeläinen Tuomas O, Jääskeläinen Jarmo, Lakka Hanna-Maaria, Laitinen Tomi
Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland.
Department of Physiology, Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Clin Physiol Funct Imaging. 2015 Jan;35(1):21-33. doi: 10.1111/cpf.12118. Epub 2013 Dec 10.
We compared InBody720 segmental multifrequency bioimpedance analysis (SMF-BIA) with Lunar Prodigy Advance 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.
The prevalence of excess body fat varies greatly according to the used criteria. Intraclass and Pearson'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.
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.
我们在178名主要为青春期前儿童中,比较了InBody720分段多频生物电阻抗分析(SMF - BIA)与Lunar Prodigy Advance双能X线吸收法(DXA)在评估身体成分方面的差异。对身体各部分进行了分段一致性分析,并确定了人体测量学指标与其他身体成分测量指标之间的相互关系。此外,还评估了不同的超重参考标准之间的关系。
根据所使用的标准,超重的患病率差异很大。SMF - BIA与DXA在全身的组内相关系数和Pearson相关系数>0.92,在局部测量中>0.74。SMF - BIA低估了体脂百分比(%BF)和脂肪量(FM),高估了瘦体重(LM)和瘦体重百分比,且存在明显的偏移趋势偏差。肥胖程度越高,偏移越大,女孩的总体一致性较差。平均而言,%BF偏移(女孩/男孩)和一致性界限(LA)分别为3.9/1.6% [(-)1.4 - 9.2%/(-)3.4 - 6.7%]。有趣的是,脂肪含量的百分比偏移(%BF:18.9/10.1%,FM:18.8/11.1%)没有明显的偏差趋势,这表明相应的绝对方法偏移取决于脂肪含量的多少。LM的百分比偏移最小:4.3/0.1%,参考偏移(LA)为0.88/0.03 kg(±2.05/±1.71 kg)。相应地,分段LM的一致性比全身LM差。除腰臀比外,所有人体测量学指标与腹部和全身脂肪均呈现强相关性(r = 0.76 - 0.95)。
分段多频生物电阻抗分析对于全身LM分析足够精确,对于全身成分分析也具有足够的准确性,可用于流行病学研究。需要制定科学且临床相关的超重标准和参考值。