Mendivil Alvarado Herminia, Villegas Valle Rosa Consuelo, Díaz Zavala Rolando Giovanni, Antunez Roman Lesley E, Valencia Juillerat Mauro E
Universidad de Sonora. Hermosillo, Sonora. México..
Nutr Hosp. 2015 Dec 1;32(6):2855-61. doi: 10.3305/nh.2015.32.6.9850.
Currently, bone distances are used to predict standing height in adults that might not be able to achieve a correct standing position. Knee length based algorithms for estimating standing height have been proposed and designed for specific populations. However, equations for other populations may not necessarily reflect environmental and genetic factors for the group of interest. The aim of this study was to develop and validate predictive models for standing height in Mexican adults. For this purpose, 240 male and female adults aged 20 to 59 years, with no apparent spine problems were measured. We measured weight, height and knee length, using an anthropometer of our own design and a glass fiber metric measuring tape. A predictive model for each measuring instrument was developed. Model selection and development of equations were carried out by "all possible regressions and multiple regression" procedures. The predictive models for standing height by the anthropometer and by the measuring tape did not show significant differences between measured and estimated height. The R2 for the two models were 0.93 and 0.92, with a standard error of the estimator (EE) of 2.30 and 2.40 cm, for the anthropometer and the measuring tape, respectively. Both methods were acceptable in terms of concordance, accuracy and precision; however, at very high and low predicted height values, both models showed significant bias, which should be considered when applying these algorithms in different populations.
目前,骨间距被用于预测可能无法保持正确站立姿势的成年人的身高。基于膝长的身高估算算法已被提出并针对特定人群进行了设计。然而,针对其他人群的公式不一定能反映目标群体的环境和遗传因素。本研究的目的是开发并验证墨西哥成年人身高的预测模型。为此,对240名年龄在20至59岁、无明显脊柱问题的成年男女进行了测量。我们使用自行设计的人体测量仪和玻璃纤维卷尺测量了体重、身高和膝长。针对每种测量仪器开发了一个预测模型。通过“所有可能回归和多元回归”程序进行模型选择和公式开发。人体测量仪和卷尺预测身高的模型在实测身高和估算身高之间未显示出显著差异。两种模型的R2分别为0.93和0.92,人体测量仪和卷尺的估计标准误差(EE)分别为2.30和2.40厘米。就一致性、准确性和精确性而言,两种方法都是可接受的;然而,在预测身高值非常高和非常低时,两种模型都显示出显著偏差,在不同人群中应用这些算法时应予以考虑。