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Dataset for the estimation of a new body fat measurement method

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, w...

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Detalles Bibliográficos
Autores principales: Kuzmar, Isaac, Arroyo, José Rafael Merlano, Villanueva, Manuel Andrés Cantillo, Ortega, Laura Vanessa Sevilla, Cortissoz, Gloria Sthefanny Goenaga, Bandera, Xelenys Paola Granados, Zalabata, Eliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772532/
https://www.ncbi.nlm.nih.gov/pubmed/33385025
http://dx.doi.org/10.1016/j.dib.2020.106656
Descripción
Sumario: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.