Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan; Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Taiwan.
Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Taiwan; Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Yunlin, Taiwan.
J Clin Densitom. 2020 Jul-Sep;23(3):411-417. doi: 10.1016/j.jocd.2019.03.002. Epub 2019 Mar 15.
Bioelectrical impedance analysis (BIA) is a widely available tool which provides mineral estimate. However, BIA is not currently recognized as a bone mineral measuring method. This study aimed to explore the ability of BIA to predict bone mineral content (BMC) in children, using dual-energy X-ray absorptiometry as a gold standard.
Healthy children aged 6-12 years (n = 176) were recruited for BIA and dual-energy X-ray absorptiometry measurements. Predictive models were generated using basic indices (age, height, weight, waist circumference, hip circumference, etc.) and BIA parameters (minerals, fat mass, and fat free mass).
The root-mean-square deviation and R for the total BMC predictive model were 0.089 kg and 0.926, respectively using height and weight as predictors whereas 0.113 kg and 0.886, respectively using minerals by BIA. The root-mean-square deviation and R for the subtotal BMC predictive model were 0.080 kg and 0.935, respectively using height and weight as predictors whereas 0.098 kg and 0.906, respectively using minerals by BIA. The best predictive models included basic indices and BIA parameters as predictors, but they had only slightly better performance over simple models.
Mineral content by BIA was good predictor of total and subtotal BMC in healthy children but with similar overall model performance compared to basic indices. More complex models combined all the predictive variables gave better prediction power, but of little improvement to these simple models. The BIA instrument does not appear to be useful in estimating BMC in healthy children as basic indices are more widely available measures but provide comparable performance. Future studies are needed to determine the clinical usefulness of the more complex prediction model in children with disease or children in other subgroups.
生物电阻抗分析（BIA）是一种广泛应用的工具，可提供矿物质估计。然而，BIA 目前尚未被认可为一种骨矿物质测量方法。本研究旨在探讨 BIA 预测儿童骨矿物质含量（BMC）的能力，以双能 X 射线吸收法作为金标准。
招募了 176 名 6-12 岁健康儿童进行 BIA 和双能 X 射线吸收法测量。使用基本指标（年龄、身高、体重、腰围、臀围等）和 BIA 参数（矿物质、脂肪量和去脂体重）生成预测模型。
使用身高和体重作为预测因子时，总 BMC 预测模型的均方根偏差和 R 值分别为 0.089 kg 和 0.926，而使用 BIA 中的矿物质时则分别为 0.113 kg 和 0.886。使用身高和体重作为预测因子时，总 BMC 预测模型的均方根偏差和 R 值分别为 0.080 kg 和 0.935，而使用 BIA 中的矿物质时则分别为 0.098 kg 和 0.906。最佳预测模型包括基本指标和 BIA 参数作为预测因子，但与简单模型相比，其性能仅略有提高。
BIA 中的矿物质含量是健康儿童总 BMC 和分 BMC 的良好预测指标，但与基本指标相比，整体模型性能相似。更复杂的模型结合了所有预测变量，提供了更好的预测能力，但对这些简单模型的改进不大。BIA 仪器似乎无法用于估计健康儿童的 BMC，因为基本指标是更广泛的可用指标，但提供了相当的性能。需要进一步研究来确定更复杂的预测模型在患有疾病的儿童或其他亚组儿童中的临床应用价值。
