Predicting total fat mass from skinfold thicknesses in Japanese prepubertal children: a cross-sectional and longitudinal validation.
Predicting total fat mass from skinfold thicknesses in Japanese prepubertal children: a cross-sectional and longitudinal validation.
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根据日本青春期前儿童的皮褶厚度预测总脂肪量：横断面和纵向验证。
DOI：
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发表时间：
2011
影响因子：
1.3
通讯作者：
S. Sakamoto
中科院分区：
文献类型：
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作者：
T. Midorikawa;Megumi Ohta;Y. Hikihara;S. Torii;M. Bemben;S. Sakamoto
本研究的目的是根据日本儿童的皮褶厚度建立基于回归的脂肪量预测方程，并研究这些方程的横截面和纵向有效性。共有 127 名 6-12 岁健康日本青春期前儿童被随机分为两组：模型开发组（54 名男孩和 44 名女孩）和横断面验证组（18 名男孩和 11 名女孩）。最初使用 DXA（Hologic Delphi A-QDR 全身扫描仪）测定脂肪量，以提供参考数据。然后，使用 Eiken 型皮褶卡尺测量三头肌和肩胛下的脂肪厚度。一年后，对最初 127 名受试者中的 28 名受试者进行了多项人体测量和 DXA 测量（纵向验证组：14 名男孩和 14 名女孩）。在男孩和女孩的模型开发组中，DXA测量的总脂肪量与卡尺测量的皮褶厚度×高度之间观察到强显着相关性（R2=0.91-0.92，p<0.01）。当这些脂肪量预测方程应用于横截面和纵向验证组时，测量的总脂肪量也与预测的脂肪量非常相似。此外，尽管 Bland-Altman 分析表明横断面验证组存在偏差，但男孩和女孩的测量总脂肪量与预测总脂肪量之间分别存在显着相关性。皮褶推导的预测方程低估了肥胖儿童的情况，但通常可用于估计现场研究中的总脂肪量。
The present study was performed to develop regression based prediction equations for fat mass from skinfold thickness in Japanese children, and to investigate the cross-sectional and longitudinal validity of these equations. A total of 127 healthy Japanese prepubertal children aged 6-12 years were randomly separated into two groups: the model development group (54 boys and 44 girls) and the cross-sectional validation group (18 boys and 11 girls). Fat mass was initially determined by using DXA (Hologic Delphi A-QDR whole-body scanner) to provide reference data. Then, fat thickness was measured at triceps and subscapular using an Eiken-type skinfold calipers. Multiple anthropometric and DXA measures were obtained one year later for 28 of the original 127 subjects (longitudinal validation group: 14 boys and 14 girls). Strong significant correlations were observed between total fat mass by DXA measurement and the skinfold thickness × height measures by caliper in the model development group of boys and girls (R2=0.91-0.92, p<0.01). When these fat mass prediction equations were applied to the cross-sectional and longitudinal validation groups, the measured total fat mass was also very similar to the predicted fat mass. In addition, there were significant correlations between the measured and predicted total fat mass for boys and girls, respectively, although Bland-Altman analysis indicated a bias in cross-sectional validation group. Skinfold-derived prediction equations underestimate for obese children but are generally useful for estimating total fat mass in field research.