Department of Physiology, University of Ulsan College of Medicine, 88 Olympic-Ro 43-gil Songpa-gu, Seoul, Republic of Korea.
Sci Rep. 2018 Feb 6;8(1):2490. doi: 10.1038/s41598-018-20872-6.
Although our previously developed anthropometry-based calculation of heat capacity (HC) for adults appeared to be precise and valid, its use in children and adolescents may be associated with bias. This study investigated a large dataset from the Size Korea survey, a national anthropometric survey conducted in 2010, to revalidate our previous HC equation and to develop another one that is appropriate for children and adolescents. We enrolled 12,766 participants aged 7-69 years with body composition data measured by multi-frequency bioelectrical impedance analysis. Age was associated with HC in children aged 7-19 years (R = 0.58) but not in adults (R = 0.007). Linear regression was appropriate to describe the relationship between HC and body surface area (BSA) in adults, whereas the regression in children and adolescent was quadratic. The previously developed HC equation had high reliability (intra-class correlation coefficient = 0.995) and predictive power (accurate prediction rate = 86.1%) in the >20 age group. The model composed of sex, body weight, BSA, and BSA was appropriate for the prediction of HC in young individuals aged 7-19 years. In conclusion, anthropometric-based modelling is a simple, reliable, and useful method for the calculation of HC.
虽然我们之前开发的基于人体测量学的成人热容量 (HC) 计算方法似乎精确且有效，但在儿童和青少年中使用可能存在偏差。本研究调查了 2010 年进行的全国人体测量学调查“Size Korea”调查中的大量数据集，以重新验证我们之前的 HC 方程，并开发另一个适用于儿童和青少年的方程。我们纳入了 12766 名年龄在 7 至 69 岁之间、通过多频生物电阻抗分析测量身体成分的参与者。年龄与 7-19 岁儿童的 HC 相关（R=0.58），但与成年人无关（R=0.007）。线性回归适用于描述成年人 HC 与体表面积 (BSA) 之间的关系，而儿童和青少年的回归是二次的。在>20 岁年龄组中，之前开发的 HC 方程具有很高的可靠性（组内相关系数=0.995）和预测能力（准确预测率=86.1%）。由性别、体重、BSA 和 BSA 组成的模型适用于预测 7-19 岁年轻个体的 HC。总之，基于人体测量学的模型是一种简单、可靠且有用的 HC 计算方法。
