School of Life and Medical Sciences, University of Hertfordshire, Hatfield, AL10 9AB, UK.
School of Life and Medical Sciences, University of Hertfordshire, Hatfield, AL10 9AB, UK.
Clin Nutr. 2020 May;39(5):1454-1463. doi: 10.1016/j.clnu.2019.06.007. Epub 2019 Jun 21.
BACKGROUND & AIMS: When body height cannot be measured, it can be predicted from ulna length (UL). However, commonly used published prediction equations may not provide useful estimates in adults from all ethnicities. This study aimed to evaluate the relationship between UL and height in adults from diverse ethnic groups and to consider whether this can be used to provide useful prediction equations for height in practice.
Standing height and UL were measured in 542 adults at seven UK locations. Ethnicity was self-defined using UK Census 2011 categories. Data were modelled to give two groups of height prediction equations based on UL, sex and ethnicity and these were tested against an independent dataset (n = 180).
UL and height were significantly associated overall and in all groups except one with few participants (P = 0.059). The new equations yielded predicted height (H) that was closer to measured height in the Asian and Black subgroups of the independent population than the Malnutrition Universal Screening Tool (MUST) equations. For Asian men, (H (cm) = 3.26 UL (cm) + 83.58), mean difference from measured (95% confidence intervals) was -0.6 (-2.4, +1.2); Asian women, (H = 3.26 UL + 77.62), mean difference +0.5 (-1.4, 2.4) cm. For Black men, H = 3.14 UL + 85.80, -0.4 (-2.4, 1.7); Black women, H = 3.14 UL + 79.55, -0.8 (-2.8, 1.2). These differences were not statistically significant while predictions from MUST equations were significantly different from measured height.
The new prediction equations provide an alternative for estimating height in adults from Asian and Black groups and give mean predicted values that are closer to measured height than MUST equations.
当无法测量身高时，可以通过桡骨长度（UL）进行预测。然而，常用的已发表预测方程可能无法为来自不同种族的成年人提供有用的估计。本研究旨在评估不同种族成年人的 UL 与身高之间的关系，并考虑是否可以将其用于实际中提供有用的身高预测方程。
在英国的七个地点测量了 542 名成年人的站立身高和 UL。种族通过使用 2011 年英国人口普查的类别进行自我定义。对数据进行建模，以提供基于 UL、性别和种族的两组身高预测方程，并在一个独立数据集（n=180）中进行了测试。
UL 和身高总体上呈显著相关，除了一个少数民族群体（P=0.059）之外，在所有群体中均呈显著相关。新方程得出的预测身高（H）与独立人群中亚洲和黑人亚组的实测身高更接近，而与营养不良通用筛查工具（MUST）方程相比则更接近。对于亚洲男性，（H（cm）=3.26 UL（cm）+83.58），实测值与预测值之间的平均差异（95%置信区间）为-0.6（-2.4，+1.2）cm；亚洲女性，（H=3.26 UL+77.62），平均差异+0.5（-1.4，2.4）cm。对于黑人男性，H=3.14 UL+85.80，-0.4（-2.4，1.7）cm；黑人女性，H=3.14 UL+79.55，-0.8（-2.8，1.2）cm。这些差异在统计学上并不显著，而 MUST 方程的预测值与实测身高差异显著。
新的预测方程为亚洲和黑人组成年人提供了另一种估计身高的方法，并且给出的预测值平均值比 MUST 方程更接近实测身高。
