Dataset For The Estimation Of A New Body Fat Measurement Method

Isaac Kuzmar, José Rafael Merlano Arroyo, Manuel Andrés Cantillo Villanueva, Laura Vanessa Sevilla Ortega, Gloria Sthefanny Goenaga Cortissoz, Xelenys Paola Granados Bandera, Eliana Zalabata

DATA IN BRIEF(2021)

引用 1|浏览0
暂无评分
摘要
Due to the increasing prevalence of obesity and its negative consequences worldwide on public health, body composition analysis is a central pillar to assess the nutritional status. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analysis, we analyzed the total body composition of 345 patients (234 men and 111 women) aged between 18 and 60 years residing in the metropolitan area of Barranquilla, Colombia. They have the potential for predictive formula analysis enhancing the cooperation among scientists. Due to the obesity pandemic, new datasets from other populations are needed to develop a body fat basic mathematical equation formula that could be used worldwide to determine the prevalence of overweight and obesity in a specific population group predisposed to develop metabolic syndrome or death, secondary to high cardiovascular risk. (c) 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
更多
查看译文
关键词
Body fat distribution,Ideal body weight,Nutrition assessment,Obesity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要