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. 2020 Dec 23:34:106656.
doi: 10.1016/j.dib.2020.106656. eCollection 2021 Feb.

Dataset for the estimation of a new body fat measurement method

Isaac Kuzmar  1 , José Rafael Merlano Arroyo  1 , Manuel Andrés Cantillo Villanueva  1 , Laura Vanessa Sevilla Ortega  1 , Gloria Sthefanny Goenaga Cortissoz  1 , Xelenys Paola Granados Bandera  1 , Eliana Zalabata  2
Affiliations

Dataset for the estimation of a new body fat measurement method

Isaac Kuzmar et al. Data Brief. .

Abstract

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.

Keywords: Body fat distribution; Ideal body weight; Nutrition assessment; Obesity.

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Conflict of interest statement

Dr. Kuzmar is co-founder of BiomediKcal–Advanced Medical Nutrition & Lifestyle Center of Barranquilla; he has a legal medical license, protects the anonymity of all his patients and any medical action he does is subject to surveillance by the Colombian medical ethics committee.

Figures

Fig. 1
Fig. 1
Graphic distribution of the Fat Mass in kilograms (mean= 20.0 kg, SD = 5.1).
Fig. 2
Fig. 2
Graphic distribution of the Fat Mass in percentage (mean= 32.91%, SD = 5.14).
See this image and copyright information in PMC

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