Technical Department, Action Against Hunger (AAH) Foundation, Madrid, Spain.
Laboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología, Universidad Autónoma de Madrid (UAM), Madrid, Spain.
Sci Rep. 2021 Feb 19;11(1):4237. doi: 10.1038/s41598-021-82727-x.
Current methods for infant and child nutritional assessment rely on anthropometric measurements, whose implementation faces technical challenges in low- and middle-income countries. Anthropometry is also limited to linear measurements, ignoring important body shape information related to health. This work proposes the use of 2D geometric morphometric techniques applied to a sample of Senegalese participants aged 6-59 months with an optimal nutritional condition or with severe acute malnutrition to address morphometric variations due to nutritional status. Significant differences in shape and size body changes were described according to nutritional status, resulting age, sex and allometric effect crucial factors to establish nutritional morphological patterns. The constructed discriminant functions exhibited the best classification rates in the left arm. A landmark-based template registering body shape could be useful to both assess acute malnutrition and better understand the morphological patterns that nutritional status promotes in children during their first 5 years of growth and development.
目前用于婴幼儿营养评估的方法依赖于人体测量学测量，而在中低收入国家，这些方法的实施面临技术挑战。人体测量学也仅限于线性测量，忽略了与健康相关的重要体型信息。本工作提出使用 2D 几何形态测量技术，对塞内加尔 6-59 个月的营养状况良好或患有严重急性营养不良的参与者样本进行分析，以解决由于营养状况导致的形态变化。根据营养状况、年龄、性别和生长比例效应等因素，描述了身体形状和大小的显著差异，这些因素对于建立营养形态模式至关重要。构建的判别函数在左臂上表现出最佳的分类率。基于标志点的模板注册身体形状可能有助于评估急性营养不良，并更好地理解营养状况在儿童生长发育的前 5 年内促进的形态模式。
