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...
- 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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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 |
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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 |
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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. |
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2021 |
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2021-07-23T15:46:50Z |
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2021 |
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Trabajo de grado - pregrado |
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https://hdl.handle.net/20.500.12442/8032 |
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https://hdl.handle.net/20.500.12442/8032 |
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eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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Ediciones Universidad Simón Bolívar Facultad de Ciencias de la Salud |
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Universidad Simón Bolívar |
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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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