Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogota 110311, Colombia.
Grupo de Investigación NUTRAL, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellin 050021, Colombia.
Int J Environ Res Public Health. 2022 Aug 27;19(17):10690. doi: 10.3390/ijerph191710690.
Waist girth (WG) represents a quick, simple, and inexpensive tool that correlates with excess of fat mass in humans; however, this measurement does not provide information on body composition. The evaluation of body composition is one of the main components in the assessment of nutritional status. Indeed, the use of anthropometry-based equations to estimate body fat and fat-free mass is a frequent strategy. Considering the lack of validation in the Colombian population, the aim of this research study (the F20 Project) is to externally validate WG-based equations (e.g., relative fat mass), and also to develop and validate new models that include WG to estimate body composition in Colombian adults compared to DXA. This cross-sectional study will be carried out following the guidelines for Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut). Using stratified probabilistic sampling, the study population will be adults with different levels of physical activity residing in Medellín and its metropolitan area. The results of this study will not only validate the estimation performance of the current WG-based equations, but they will also develop new equations to estimate body composition in the Colombian population. This will improve professional practice in health, exercise, and sports sciences (ClinicalTrials.gov ID #NCT05450588).
腰围（WG）是一种快速、简单且经济的工具，可用于衡量人体脂肪量的过多；然而，该测量方法无法提供身体成分的信息。身体成分评估是营养状况评估的主要组成部分之一。事实上，使用基于人体测量学的公式来估计体脂肪和去脂体重是一种常见的策略。考虑到在哥伦比亚人群中缺乏验证，这项研究（F20 项目）的目的是对外验证基于 WG 的方程（例如相对体脂肪），并开发和验证新的模型，将 WG 纳入其中，以与 DXA 相比来估计哥伦比亚成年人的身体成分。这项横断面研究将按照《流行病学营养（STROBE-nut）加强观察性研究报告指南》进行。使用分层概率抽样，研究人群将是居住在麦德林及其大都市区的不同体力活动水平的成年人。这项研究的结果不仅将验证当前基于 WG 的方程的估计性能，还将开发新的方程来估计哥伦比亚人群的身体成分。这将改善健康、运动和体育科学领域的专业实践（ClinicalTrials.gov ID #NCT05450588）。
