Relating weight growth trajectory to height and age.
Relating weight growth trajectory to height and age.
复制标题
将体重增长轨迹与身高和年龄联系起来。
DOI：
10.1002/sim.8109
复制
发表时间：
2019
影响因子：
2
通讯作者：
Cole TJ
中科院分区：
文献类型：
--
作者：
Cole TJ
这篇由AraúJo博士和她的同事发表的论文1描述了他们试图将人类体重增长轨迹建模为年龄或身高的函数。他们从EPITeen研究中获得了719名儿童的数据，每个孩子从出生到21岁的平均测量数据为16次，他们将系列体重建模为混合影响模型。对于平均曲线，他们比较了三种替代函数：多项式、分数次多项式(FP)和线性样条线。他们的结论是，体重最好用身高的分数多项式来预测。作为一个结论，这并不令人惊讶。在所有年龄段，体重和身高之间存在很强的异速生长关系，以至于对于相同年龄的儿童，体重随身高的幂而变化，体重和身高之间的相关性约为0.7。2最佳身高指数随年龄变化，5岁以前为2左右，相当于体重指数(BMI)，青春期为3，成年后回落至2。因此，在任何特定的年龄，身高在很大程度上解释了体重的变化。
The paper by Dr Araújo and her colleagues 1 describes their quest to model the human weight growth trajectory as a function either of age or height. They had data on 719 children from the EPITeen study, with a mean of 16 measurements per child from birth to 21 years, and they modelled the serial weights as mixed effects models. For the mean curve they compared three alternative functions: polynomials, fractional polynomials (FP) and linear splines. Their conclusion was that weight is best predicted as a fractional polynomial in height.As a conclusion this is not surprising. There is a strong allometric relationship between weight and height at all ages, such that for children of the same age, weight varies as a power of height, and the correlation between weight and height is around 0.7. 2 The optimal height power varies with age, and before age 5 it is around 2, corresponding to the body mass index (BMI), but it rises to 3 in puberty and then drops back to 2 in adulthood. 3 Thus at any particular age, height explains much of the variability in weight.