Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal.
Department of Biomedical Science, University of Padova, 35100, Padova, Italy.
Eur J Clin Nutr. 2023 Dec;77(12):1143-1150. doi: 10.1038/s41430-023-01310-x. Epub 2023 Aug 2.
Bioelectrical impedance analysis (BIA) is a technique widely used for estimating body composition and health-related parameters. The technology is relatively simple, quick, and non-invasive, and is currently used globally in diverse settings, including private clinicians' offices, sports and health clubs, and hospitals, and across a spectrum of age, body weight, and disease states. BIA parameters can be used to estimate body composition (fat, fat-free mass, total-body water and its compartments). Moreover, raw measurements including resistance, reactance, phase angle, and impedance vector length can also be used to track health-related markers, including hydration and malnutrition, and disease-prognostic, athletic and general health status. Body composition shows profound variability in association with age, sex, race and ethnicity, geographic ancestry, lifestyle, and health status. To advance understanding of this variability, we propose to develop a large and diverse multi-country dataset of BIA raw measures and derived body components. The aim of this paper is to describe the 'BIA International Database' project and encourage researchers to join the consortium.
The Exercise and Health Laboratory of the Faculty of Human Kinetics, University of Lisbon has agreed to host the database using an online portal. At present, the database contains 277,922 measures from individuals ranging from 11 months to 102 years, along with additional data on these participants.
The BIA International Database represents a key resource for research on body composition.
生物电阻抗分析(BIA)是一种广泛用于估计身体成分和与健康相关参数的技术。该技术相对简单、快速且无创,目前在全球范围内的各种环境中得到应用,包括私人临床医生的办公室、运动和健康俱乐部以及医院,涵盖了广泛的年龄、体重和疾病状态。BIA 参数可用于估计身体成分(脂肪、去脂体重、总水量及其分布)。此外,原始测量值,包括电阻、电抗、相位角和阻抗矢量长度,也可用于跟踪与健康相关的标志物,包括水合作用和营养不良以及疾病预后、运动和一般健康状况。身体成分与年龄、性别、种族和民族、地理祖籍、生活方式和健康状况密切相关,存在显著的变异性。为了深入了解这种变异性,我们提议开发一个包含大量不同国家 BIA 原始测量值和衍生身体成分的多国家数据库。本文旨在描述“BIA 国际数据库”项目,并鼓励研究人员加入该联盟。
里斯本人类运动科学学院的运动与健康实验室已同意使用在线门户来托管该数据库。目前,该数据库包含了 277922 名年龄在 11 个月至 102 岁之间的个体的测量值,以及这些参与者的其他数据。
BIA 国际数据库是身体成分研究的重要资源。