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首页> 外文期刊>Proceedings of the Nutrition Society >Application of standards and models in body composition analysis
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Application of standards and models in body composition analysis

机译：标准和模型在人体成分分析中的应用

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The aim of this review is to extend present concepts of body composition and to integrate it into physiology. In vivo body composition analysis (BCA) has a sound theoretical and methodological basis. Present methods used for BCA are reliable and valid. Individual data on body components, organs and tissues are included into different models, e.g. a 2-, 3-, 4- or multi-component model. Today the so-called 4-compartment model as well as whole body MRI (or computed tomography) scans are considered as gold standards of BCA. In practice the use of the appropriate method depends on the question of interest and the accuracy needed to address it. Body composition data are descriptive and used for normative analyses (e.g. generating normal values, centiles and cut offs). Advanced models of BCA go beyond description and normative approaches. The concept of functional body composition (FBC) takes into account the relationships between individual body components, organs and tissues and related metabolic and physical functions. FBC can be further extended to the model of healthy body composition (HBC) based on horizontal (i.e. structural) and vertical (e.g. metabolism and its neuroendocrine control) relationships between individual components as well as between component and body functions using mathematical modelling with a hierarchical multi-level multi-scale approach at the software level. HBC integrates into whole body systems of cardiovascular, respiratory, hepatic and renal functions. To conclude BCA is a prerequisite for detailed phenotyping of individuals providing a sound basis for in depth biomedical research and clinical decision making.
机译：这篇综述的目的是扩展身体成分的当前概念并将其整合到生理学中。体内人体成分分析（BCA）具有良好的理论和方法论基础。用于BCA的当前方法是可靠且有效的。有关身体成分，器官和组织的个别数据包含在不同的模型中，例如2、3、4或多组件模型。如今，所谓的四室模型以及全身MRI（或计算机断层扫描）扫描已被视为BCA的黄金标准。在实践中，适当方法的使用取决于所关注的问题以及解决该问题所需的准确性。身体成分数据具有描述性，可用于规范分析（例如，生成正常值，百分位数和临界值）。 BCA的高级模型超越了描述和规范方法。功能性身体成分（FBC）的概念考虑了各个身体成分，器官和组织与相关代谢和身体功能之间的关系。使用具有层次结构的数学建模，可以基于各个组件之间以及组件与身体功能之间的水平（即结构）和垂直（例如，代谢及其神经内分泌控制）关系，将FBC进一步扩展到健康身体成分（HBC）模型软件级别的多级多尺度方法。 HBC整合到心血管，呼吸，肝和肾功能的全身系统中。总而言之，BCA是进行个体详细表型分析的先决条件，为深入的生物医学研究和临床决策提供坚实的基础。

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