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Análisis de ecuaciones de determinación del gasto energético basal y/o en reposo que incluyen la variable masa libre de grasa, en población adulta físicamente activa

dc.rights.licenseAtribución-SinDerivadas 4.0 Internacional
dc.contributor.advisorGuerrero Orjuela, Ligia Stella
dc.contributor.advisorUribe Bustos, Johanna Xiomara
dc.contributor.authorCaicedo Torres, Lida Marcela
dc.date.accessioned2020-03-05T13:27:38Z
dc.date.available2020-03-05T13:27:38Z
dc.date.issued2019-12-21
dc.identifier.citationCaicedo, Lida M; Guerrero Ligia S; Uribe, Johanna X.(2019 ).Análisis de ecuaciones de determinación del gasto energético basal y/o en reposo que incluyen la variable masa libre de grasa, en población adulta físicamente activa. Universidad Nacional de Colombia.
dc.identifier.citationCaicedo, Lida M; Guerrero Ligia S, Johanna X. Análisis de ecuaciones de determinación del gasto energético basal y/o en reposo que incluyen la variable masa libre de grasa, en población adulta físicamente activa. Univ Nac Colomb. 2019
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/75859
dc.description.abstractIntroducción: Un equilibrio óptimo entre la ingesta y el gasto de energía es crucial para el rendimiento en la actividad física especialmente en deportistas y/o alto entrenamiento, obtener las estimaciones del Gasto Energético en Reposo (GER) y/o Gasto Energético Basal (GEB) de forma práctica, sencilla y cercana al Gold Standard (Calorimetría Indirecta) es fundamental para asegurar el cumplimiento de las metas en las intervenciones dietéticas y deportivas. Se asume que el GER/GEB es mayor en atletas y/o personas físicamente muy activas derivado de su masa libre de grasa (MLG) comparado con personas que realizan actividad física moderada o leve. Objetivo: Explorar en la literatura cuáles de las ecuaciones de predicción que emplean la variable Masa Libre de Grasa tiene una predicción más cercana al Gold Estándar (Calorimetría Indirecta) para el cálculo de Gasto Metabólico en Reposo y/o Basal en personas físicamente activas. Tipo de estudio: Revisión narrativa de tipo cualitativo. Metodología: Se realizó la búsqueda de artículos científicos en 4 bases de datos: Pubmed (MEDLINE), Web of Science, Cochrane y el buscador de la Universidad Nacional de Colombia con palabras términos MeSH y términos libres con la siguiente ecuación de búsqueda.((("Athletes"[Mesh] OR "Sports"[Mesh]) OR "Exercise"[Mesh]) AND (("prediction equation"[All Fields] OR "Cunningham equation"[All Fields] OR "Prediction formulas"[All Fields]) AND "lean body mass"[All Fields] OR "fat free mass"[All Fields] OR "body composition "[Mesh])) AND ("Basal Metabolism"[Mesh] OR "Energy Intake"[Mesh] OR "Energy expenditure"[All Fields] OR "basal metabolic rate"[All Fields] OR "resting metabolic rate (RMR)"[All Fields]) AND ("2009/05/29"[PDat]: "2019/01/01"[PDat] AND "humans"[MeSH Terms]) AND "Calorimetry, Indirect"[Mesh]) y filtro de edad de 19 a 65 años. Se encontraron 49 artículos de los cuales se seccionaron 10 de acuerdo a los criterios de inclusión y exclusión que se establecieron y de acuerdo al objetivo de la investigación, con el propósito de determinar cuáles de las ecuaciones de predicción se pueden utilizar en la práctica deportiva y de esta forma generar recursos bibliográficos para futuras investigaciones experimentales. Resultados: En la revisión de la literatura se encontró que algunas ecuaciones de predicción como la propuesta por Cunningham 1991 , Harris- Benedict, De Lorentz, Owen, FAO-OMS-ONU y Mifflin-St. Jeor, fueron analizadas en población físicamente activa, mostrando una predicción cercana a la Calorimetría Indirecta; considerada el método de referencia, lo cual válida emplear dichas ecuaciones como un método alternativo, práctico y económico para la estimación del GER/GEB. Conclusiones: Existe evidencia científica que el GER/GEB se puede determinar con precisión en personas adultas sanas y físicamente activas, empleando diferentes ecuaciones de predicción que incluyen cálculos de composición corporal específicamente el correspondiente a la Masa Libre de Grasa (MLG), de la misma manera los estudios sugieren tener en cuenta el tipo de actividad física pues los resultados puede variar significativamente entre deportistas de alto rendimiento con respecto a deportistas recreativos.
dc.description.abstractBackground: An optimal balance between intake and energy expenditure is crucial for the performance in physical activity especially in athletes and / or high training, obtaining the benefits of Resting Energy Expenditure (RRE) in a practical, simple and close to the Gold Standard (Indirect Calorimetry) is essential to ensure compliance with the goals in the dietetics and sports. It is assumed that resting energy expenditure (RRE) is higher in athletes and / or physically very active people in their fat-free mass (FFM). Purpose: To explore in the literature of the prediction equations that use the Fat Free Mass variable has a prediction closer to the Standard Gold (Indirect Calorimetry) for the calculation of Metabolic Expenditure at Rest and / or Baseline in physically active people. Type of study: Qualitative type narrative review. Methodology: The search of scientific articles was carried out in 4 databases: Pubmed (MEDLINE), Web of Science, Cochrane and the search engine of the Universidad Nacional de Colombia with words MeSH terms and free terms with the following search equation. ((("Athletes"[Mesh] OR "Sports"[Mesh]) OR "Exercise"[Mesh]) AND (("prediction equation"[All Fields] OR "Cunningham equation"[All Fields] OR "Prediction formulas"[All Fields]) AND "lean body mass"[All Fields] OR "fat free mass"[All Fields] OR "body composition "[Mesh])) AND ("Basal Metabolism"[Mesh] OR "Energy Intake"[Mesh] OR "Energy expenditure"[All Fields] OR "basal metabolic rate"[All Fields] OR "resting metabolic rate (RMR)"[All Fields]) AND ("2009/05/29"[PDat]: "2019/01/01"[PDat] AND "humans"[MeSH Terms]) AND "Calorimetry, Indirect"[Mesh]) and age filter from 19 to 65 years. 49 articles were found of which 10 were sectioned according to the inclusion and exclusion criteria that were established and according to the objective of the investigation. With the purpose of determining which of the prediction equations can be used in sports practice and thus generate bibliographic resources for future experimental research. Results: In the literature review it was found that some prediction equations such as the one proposed by Cunningham 1991, Harris-Benedict, De Lorentz, Owen, FAO-WHO-UN and Mifflin-St. Jeor, they were analyzed in a physically active population, showing a prediction close to Indirect Calorimetry; considered the reference method, which valid to use these equations as an alternative, practical and economical method for estimating the GER / GEB. Conclusions: There is scientific evidence that the RRE can be accurately determined in healthy and physically active adults, using different prediction equations that include calculations of body composition specifically corresponding to Fat Free Mass (FFM), of the same In this way, studies suggest taking into account the type of physical activity, since the results can vary significantly among high-performance athletes with respect to recreational athletes.
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dc.language.isospa
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subject.ddcMedicina y salud
dc.titleAnálisis de ecuaciones de determinación del gasto energético basal y/o en reposo que incluyen la variable masa libre de grasa, en población adulta físicamente activa
dc.title.alternativeAnalysis of the prediction equations of resting energy expenditure (RRE) / Basal metabolic rate (BMR) that include the variable fat-free mass in the physically active adult population.
dc.typeOtro
dc.rights.spaAcceso abierto
dc.description.additionalMagister en Fisiología. Línea de Investigación: Alimentación y Promoción de la salud
dc.type.driverinfo:eu-repo/semantics/other
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.contributor.researchgroupAlimentación y Nutrición Humana
dc.description.degreelevelMaestría
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalBasal metabolism
dc.subject.proposalMetabolismo basal
dc.subject.proposalComposición corporal
dc.subject.proposalBody composition
dc.subject.proposalGasto de energía
dc.subject.proposalEnergy expenditure
dc.subject.proposalAtletas
dc.subject.proposalAthletes
dc.type.coarhttp://purl.org/coar/resource_type/c_1843
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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