Dataset for the estimation of a new body fat measurement method

Due to the increasing prevalence of obesity and its nega- tive consequences worldwide on public health, body compo- sition analysis is a central pillar to assess the nutritional sta- tus. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analy...

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Autores:
Merlano Arroyo, José Rafael
Cantillo Villanueva, Manuel Andrés
Sevilla Ortega, Laura Vanessa
Goenaga Cortissoz, Gloria Sthefanny
Granados Bandera, Xelenys Paola
Zalabata, Eliana
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/8032
Acceso en línea:
https://hdl.handle.net/20.500.12442/8032
Palabra clave:
Body fat distribution
Obesity
Nutrition
Assessment Ideal body weight
Rights
restrictedAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv Dataset for the estimation of a new body fat measurement method
dc.title.translated.spa.fl_str_mv Estimación de un nuevo método de medición grasa corporal
title Dataset for the estimation of a new body fat measurement method
spellingShingle Dataset for the estimation of a new body fat measurement method
Body fat distribution
Obesity
Nutrition
Assessment Ideal body weight
title_short Dataset for the estimation of a new body fat measurement method
title_full Dataset for the estimation of a new body fat measurement method
title_fullStr Dataset for the estimation of a new body fat measurement method
title_full_unstemmed Dataset for the estimation of a new body fat measurement method
title_sort Dataset for the estimation of a new body fat measurement method
dc.creator.fl_str_mv Merlano Arroyo, José Rafael
Cantillo Villanueva, Manuel Andrés
Sevilla Ortega, Laura Vanessa
Goenaga Cortissoz, Gloria Sthefanny
Granados Bandera, Xelenys Paola
Zalabata, Eliana
dc.contributor.advisor.none.fl_str_mv Kuzmar, Isaac
dc.contributor.author.none.fl_str_mv Merlano Arroyo, José Rafael
Cantillo Villanueva, Manuel Andrés
Sevilla Ortega, Laura Vanessa
Goenaga Cortissoz, Gloria Sthefanny
Granados Bandera, Xelenys Paola
Zalabata, Eliana
dc.subject.eng.fl_str_mv Body fat distribution
Obesity
Nutrition
Assessment Ideal body weight
topic Body fat distribution
Obesity
Nutrition
Assessment Ideal body weight
description Due to the increasing prevalence of obesity and its nega- tive consequences worldwide on public health, body compo- sition analysis is a central pillar to assess the nutritional sta- tus. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analy- sis, 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 en- hancing 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 pre- disposed to develop metabolic syndrome or death, secondary to high cardiovascular risk.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-07-23T15:46:50Z
dc.date.available.none.fl_str_mv 2021-07-23T15:46:50Z
dc.date.issued.none.fl_str_mv 2021
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dc.type.spa.spa.fl_str_mv Trabajo de grado - pregrado
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/8032
url https://hdl.handle.net/20.500.12442/8032
dc.language.iso.eng.fl_str_mv eng
language eng
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dc.publisher.spa.fl_str_mv Ediciones Universidad Simón Bolívar
Facultad de Ciencias de la Salud
institution Universidad Simón Bolívar
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spelling Kuzmar, IsaacMerlano Arroyo, José Rafael57e06bbc-4884-43d6-95bb-76a33ceaf608Cantillo Villanueva, Manuel Andrés9d9274f6-5c67-466a-a45e-80427245abe0Sevilla Ortega, Laura Vanessa07c4f8d8-f42f-47c6-a768-e785b3383eecGoenaga Cortissoz, Gloria Sthefanny7cdf3a91-b25a-4160-ba41-cbdb0440536cGranados Bandera, Xelenys Paola2986e926-1a52-40b5-b250-7e54cab73916Zalabata, Eliana09c3ccb1-f2d8-4f28-b991-d634221ffa442021-07-23T15:46:50Z2021-07-23T15:46:50Z2021https://hdl.handle.net/20.500.12442/8032Due to the increasing prevalence of obesity and its nega- tive consequences worldwide on public health, body compo- sition analysis is a central pillar to assess the nutritional sta- tus. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analy- sis, 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 en- hancing 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 pre- disposed to develop metabolic syndrome or death, secondary to high cardiovascular risk.pdfengEdiciones Universidad Simón BolívarFacultad de Ciencias de la SaludAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecBody fat distributionObesityNutritionAssessment Ideal body weightDataset for the estimation of a new body fat measurement methodEstimación de un nuevo método de medición grasa corporalinfo:eu-repo/semantics/bachelorThesisTrabajo de grado - pregradohttp://purl.org/coar/resource_type/c_7a1fM. Borga, et al., Advanced body composition assessment: from body mass index to body composition profiling, J. Investig. Med. 66 (2018) 887–895, doi: 10.1136/jim- 2018- 0 0 0722 .J.J. González-González, L. Sanz-Alvarez, C García Bernardo, Obesity in the history of surgery, Cir. Esp. 84 (4) (2008) 188–195 https://doi.org/10.1016/s0 0 09- 739x(08)72618- 6 .A. Castro, et al., Effect of a very low-calorie ketogenic diet on food and alcohol cravings, physical and sexual activity, sleep disturbances, and quality of life in obese patients, Nutrients 10 (10) (2018) 1–19, doi: 10.3390/nu10101348 .S.A. Patel, et al., Comparison of multiple obesity indices for cardiovascular disease risk classification in South Asian adults: the CARRS Study, PLoS ONE 12 (4) (2017) 1–13 https://doi.org/10.1371/journal.pone.0174251 .V.M. Moreno , J.B. Gómez-Gandoy , Antoranz-González MJ , Body fat estimated by bioelectrical impedance, skinfold thickness and anthropometric equations. A comparative analysis, Rev. Española Salud Pública 75 (2001) 221–236 .E. Ramírez , M.E. Valencia , S.Y. Moya-Camarena , H. Alemán-Mateo , R.O Méndez , Estimation of body fat by DXA and the four compartment model in Mexican youth, Arch. Latinoam. Nutr. 60 (3) (2010) 1–7 .I. Schifferlia, F. Carrasco, J. Inostrozab, Formulation of an equation to predict fat mass using bioelectrical impedance in adults in a wide range of ages and body mass index, Rev. Med. Chile 139 (2011) 1534–1543 http://dx.doi.org/10. 4067/S0 034-988720110 0120 0 0 02 .Quang D Nguyen, Body composition and nutritional status in neonates and sick children as assessed by dual energy x-ray absorptiometry, bioelectrical impedance analysis and anthropometric methods, Impact Nutr. Postnatal Growth (2006) 1–125 Uni-greifswald.de .CDCNational Health and Nutrition Examination Survey (NHANES), 2017 Anthropometry procedures manualAvailable at: https://wwwn.cdc.gov/nchs/data/nhanes/2017-2018/manuals/2017 _ Anthropometry _Procedure s _ Manual.pdf Ac- cessed on 10.2020 .WMA, Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects, 2018. 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