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Perfil metabólico y recomendaciones de entrenamiento físico posterio= r al confinamiento del COVID-19 en estudiantes de formación de la actividad físi= ca y deporte

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Metabolic profile and recommendations for physical training after confinement of COVID-19 in students of physical activity and sport training

1

Lenin Esteban Loaiza Dávila                                https://orcid= .org/0000-0002-5769-2795

Universidad Técnica de Ambato, Carrera de Pedagogía de la Actividad Física y Deporte, Tungurahua, Ecuador

e.loaiza@uta.edu.ec

 

2

Dennis José Hidalgo Alava                                 <= /span>https://orcid.org/0000-0002-2234-5072=

Universidad Técnica de Ambato, Carrera de Pedagogía de la Actividad Física y Deporte, Tungurahua, Ecuador

djhidalgo@uta.edu.ec

 

3

Luis Alfredo Jiménez Ruíz                                    https://orcid= .org/0000-0001-8704-0563

Universidad Técnica de Ambato, Carrera de Pedagogía de la Actividad Física y Deporte, Tungurahua, Ecuador

la.jimenez@uta.edu.ec

4

Jaime Hernández Valdebenito                               https://o= rcid.org/0000-0002-5529-7871 Sociedad Chilena para la Educación Física Recreación y Salud, Dirección de Ciencias e Investigación, Santiago de Chile, Chile

jherna= ndez@educacionfisicachile.cl =

 

 

 

 

Artículo de Investigación Científica y Tecnológica

Enviado: 24/12/2021

Revisado: 29/12/2021

Aceptado: 03/01/2022

Publicado:08/= 03/2023

DOI: https://d= oi.org/10.33262/concienciadigital.v6i1.4.2026  

 

 

 

 

Cítese:

 

 

Loaiza Dávila, L. E., Hidalgo Alava, D. J., Jiménez Ruíz, L. A., &= amp; Hernández Valdebenito, J. (2023). Perfil metabólico y recomendaciones de entrenamiento físico posterior al confinamiento del COVID-19 en estudiant= es de formación de la actividad física y deporte . ConcienciaDigital, 6(1.4), 747-765. https://doi.org/10.33262/concienciadigital.v6i1.4.2026

 

 

 

CONCIENCIA DIGITAL, es una Revista Multidisciplinar, Trimestral, que se publicará en soporte electrónico tie= ne como misión contribuir a la   formación de profesionales competentes con visión humanística y crítica que sean capaces de exponer = sus resultados investigativos y científicos en la misma medida que se promueva mediante = su intervención cambios positivos en la sociedad. https://concienciadigital.org  <= /span>

La revista es editada por la Editorial Ciencia Digital (Editorial de prestigio registrada en la Cámara Ecuatoria= na de Libro con No de Afiliación 663) www.celibro.org.ec

 

 

 

Esta revista está protegida bajo una licencia Creative Commons Attribution Non Commercial No Derivatives 4.0 International. Copia de la licencia: http://creativecommons.org/licenses/by-nc-nd/= 4.0/

 

Pal= abras claves:

perfil metabólico, grasa corporal, masa muscu= lar, plataforma metav, entrenamiento físico.

 

Resumen <= o:p>

Introdu= cción: La pandemia del Covid-19 obligo al sistema educativo a adaptar el proceso de enseñanza aprendizaje a una modalidad virtual-telemática, no siendo la formación de los estudiantes universitar= ios en Pedagogía de la Actividad Física, los cuales a pesar de las caracterís= ticas de alto nivel práctico debieron entrar en un estado de inactividad física= que altero sus perfiles metabólicos. Objetivo: Determinar el perfil metabólico de los estudiantes en formación de la carrera de Pedagogía de la actividad física y establecer las recomendacio= nes de entrenamiento físico adecuado, tanto de manera porcentual de sus componentes, así como el tipo de ejercicios adecuados. Metodología: Estudio de enfoque de investigación cuantitativo, a través de un tipo de investigación no ex= perimental por alcance descriptivo y de corte trasversal, desarrollado en una muestra de 460 estudiantes de ambos sexo= s y de diferentes semestres de formación de la carrera, evaluando su perfil metabólico con la ayuda de la plataforma tecnológica MetaV con respaldo d= e un análisis estadístico con el paquete SPSS versión 25. Resultados: Se obtuvieron datos de entrada, porcentajes de gr= asa corporal, masa muscular, masa residual y otros, así como datos de distribución por niveles de parámetros de riesgo metabólico y recomendaci= ones de entrenamiento físico por perfiles. Conclusión: La investigación permitió determinar que los mayores porcentajes de estudiantes por grupos de sexo se encontraban en el nivel avanzado por entrenamiento físico y en niveles de entrada atlético, deportivo y elite, para los cuales se plantearon recomendaciones de entrenamiento físico arrojados por el sistema MetaV, además de ejercicios físicos diseñados en base a las cadenas cinemáticas y las características biomecánicas de su ejecución.

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Key= words: metabolic profile, body fat, muscle mass, metav platform, physic= al training.

 

Abstract

Introduction: The Covid-19 pandemic forced the educational sy= stem to adapt the teaching-learning process to a virtual-telematic modality, n= ot being the training of university students in Pedagogy of Physical Activit= y, which despite the characteristics of high practical level had to enter a state of physical inactivity that altered their metabolic profiles. Objective: To determine the met= abolic profile of the students in formation of the Pedagogy of Physical Activity career and to establish the recommendations of adequate physical training, both in percentage of its components, as well as the type of adequate exercises. Methodology: A st= udy of quantitative research approach, through a non-experimental type of resear= ch by descriptive scope and cross-sectional cut, developed in a sample of 460 students of both sexes and from different semesters of training of the career, evaluating their metabolic profile with the help of the MetaV technological platform supported by a statistical analysis with the SPSS version 25 package. Results:= Input data, percentages of body fat, muscle mass, residual mass and others were obtained, as well as distribution data by levels of metabolic risk parame= ters and physical training recommendations by profiles. Conclusion: The research allowed determining that the highest percentages of students by sex groups were in the advanced level by physi= cal training and in athletic, sports and elite entry levels, for which physic= al training recommendations were proposed by the MetaV system, in addition to physical exercises designed based on the kinematic chains and the biomechanical characteristics of their execution.

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Introducción

A nivel mundial la situación sanitaria provocada p= or la pandemia del COVID-19, considerada como una enfermedad de propagación rá= pida y de fácil contagio, llevo a tomar medidas de distanciamiento social y confinamiento (Villaquiran-Hurtado et al., 2020). El sistema educativo universitario universalment= e se vio obligado ante esta situación a adaptarse a un formato virtual-telemátic= o, sin importancia de las características del proceso de enseñanza aprendizaje=  de las diferentes carreras (Pérez-López & Cambero-Rivero, 2020).

La formación de los profesionales de la pedagogía = de la actividad física y deporte o también conocida a nivel mundial como educa= ción física, está estructurada por un alto componente de asignaturas de desarrol= lo práctico, el cual está encaminado al desarrollo de las capacidades física y motrices de sus cursantes (Costa et al., 2021), los cuales durante los diferentes años de estudio van desarrollando una condición física y  perfil metabólico adecuado (Castro-Jiménez et al., 2018). La falta de la práctica del ejercicio físico, considerando un componente crítico en la formación Almonacid-Fierro et al. (2021), hizo que los docentes busquen alternativas para contrarrestar los efectos de la inactividad y aumento del nivel de sedentar= ismo, pero a pesar de todos los esfuerzos hubo un efecto de perdida de condición física y cambios en la composición corporal  que afectaron el perfil metabólico de los estudiantes (Alarcón-Meza & Hall-López, 2021).

Para Navarrete et al., (2015) el perfil metabólico se determina por el comportamiento de parámetros clínicos y de composición corporal, así como el análisis de la frecuencia de  activ= idad física y hábitos de vida saludable. Existen diferentes métodos para la evaluación del perfil metabólico, basado en la determinación de la alerta metabólica temprana  (Chamorro et al., 2018), otros en base a la asociación del índice de masa corporal y relación cintura/estatura con la presión arterial (Diaz & Development, 2021), análisis antropométricos López et al. (2020), análisis de pliegues cutáneos, perímetros corpor= ales incluido el perímetro del cuello (Pedreros et al., 2018), métodos de bioempedancia (Dopsaj et al., 2021), entre otros.  <= /span>

En relación con la composición corporal, es import= ante recalcar que el análisis del índice de masa corporal (IMC), relación del perímetro cintura (PC) y el porcentaje de masa grasa corporal (%MG), son métodos accesibles y de bajo costo, utilizados en estudios investigativos de epidemiología y salud pública.  Sea= cual sea el método utilizado, estos arrojan una serie de datos cuantitativos que permiten clasificar a los sujetos evaluados en diferentes niveles de riesgo metabólico, basados en el sobrepeso o niveles de obesidad (Espinoza-Navarro et al., 2020), o al contario la deficiencia de peso corporal y = un porcentaje disminuido de masa muscular (Buitrago et al., 2021), determinando de esta manera los dos lados opuest= os del perfil metabólico.

El perfil metabólico que determina un riesgo, se caracteriza por los problemas de sobrepeso y obesidad que son el resultado = de la formación de grasa corporal anormal o excesiva que puede ser perjudicial para la salud (Villena, 2018). El método más adecuado para determinar los nivel= es de estos 2 parámetros es el índice de masa corporal (IMC), que no es más qu= e es una relación simple entre el peso corporal y la altura (Massaroli et al., 2021). El índice se calcula como la relación entre el p= eso corporal en kilogramos y la altura en metros al cuadrado (kg / m2).

Según la OMS, el diagnóstico de sobrepeso u obesid= ad en adultos se establece en los siguientes casos:

-        = ;  IMC mayor o igual a 25 - sobrepeso;

-        = ;  IMC mayor o igual a 30 - obesidad.

El IMC es la medida más conveniente para evaluar el nivel de obesidad y sobrepeso en una población determinada, ya que es el mi= smo para su evaluación en ambos sexos y para todos los grupos etarios en la adu= ltez. Sin embargo, se debe considerar que el IMC un criterio aproximado, ya que p= uede corresponder a diferentes grados de completitud en diferentes personas o poblaciones (Chavarría et al., 2017).

Abordando las causas que producen la obesidad y so= brepeso, determinamos la principal como el desequilibrio energético de ingesta alimenticia, es decir que el contenido calórico de la dieta diaria excede l= os requerimientos energéticos que el cuerpo requiere, producto de un mayor con= sumo de alimentos con alta densidad energética y alto contenido de grasas (Velasco et al., 2018). La segunda causa es la disminución de la activid= ad o entrenamiento físicos debido al carácter cada vez más sedentario de muchas actividades y los cambios en la transportación que cada vez es menos activo. Los diferentes cambios en la dieta y la actividad física a menudo son el resultado de cambios de carácter ambiental y social (Huaman & Bolaños, 2020).

Los niveles altos del perfil metabólico determinan= a sujetos con un peso corporal adecuado, un porcentaje de grasa reducido y un mayor porcentaje de masa muscular, son sujetos que implementa sistemas de entrenamiento para mantener niveles adecuados de masa muscular, siendo esto= un factor de prevención de enfermedades por los niveles de fuerza que estos presentan y la función metabólica del tejido muscular y cardiaco ADDIN CSL_CITATION {"citationItems":[{"id":= "ITEM-1","itemData":{"ISSN":"1727-897X&q= uot;,"abstract":"El diagnóstico de sarcopenia es difícil, pues los diferentes investigadores no= se ponen totalmente de acuerdo sobre qué método de es emplear y qué puntos de corte establecer, debido a la complejidad del tema. Es evidente que el uso = de criterios prácticos, confiables, que estén al alcance de la mayoría de los investigadores, hará posible establecer de forma más real el diagnósticosta importante entidad nosológica. Por tales razones el objetivo de este trabaj= o es describir los principales elementos a tener en cuenta para el correcto diagnóstico de la sarcopenia. Se utilizó como buscador de información científica a Google Académico. Las palabras claves utilizadas fueron: sarcopenia, envejecimiento, masa muscular, fuerza muscular. Fueron evaluados artículos de revisión, de investigación y algunas páginas Web, con menos de diez años de publicados, en idioma español, portugués o inglés, que present= aran una adecuada calidad científica y metodológica según criterio de los autore= s. Se excluyeron los documentos que no contaban con estos requisitos. Esto permitió el estudio de 110 artículos, de los cuales 74 fueron referenciados= . Se concluye que para realizar un diagnóstico adecuado de sarcopenia se deben t= omar en cuenta los hallazgos clínicos que orienten la existencia de la pérdida de masa y potencia muscular, además del pobre desempeño físico derivado de esta condición. Dependerá además de la definición empleada, variables mensurable= s y de los diferentes puntos de corte de los exámenes complementarios utilizado= s en relación con las características de la población estudiada.","author":[{"dropping-particle":"&= quot;,"family":"Hernández Rodríguez","given":"José","non-dropping-parti= cle":"","parse-names":false,"suffix":&qu= ot;"},{"dropping-particle":"","family":&= quot;Arnold Domínguez","given":"Yuri","non-dropping-parti= cle":"","parse-names":false,"suffix":&qu= ot;"}],"container-title":"Medisur: Revista de Ciencias Médicas de Cienfuegos","id":"ITEM-1","issue":"= 1","issued":{"date-parts":[["2019"]]},&q= uot;page":"112-125","title":"Principales elementos a tener en cuenta para el correcto diagnóstico de la sarcopenia","type":"article-journal","volume&= quot;:"17"},"uris":["http://www.mendeley.com/docum= ents/?uuid=3D3c95e21b-c0ba-466b-8f14-2daf4f46cdf6"]}],"mendeley&q= uot;:{"formattedCitation":"(José Hernández Rodríguez & Arnold Domínguez, 2019)","manualFormatting":"(Hernández-Rodríguez & Domínguez, 2019)","plainTextFormattedCitation":"(José Hernández Rodríguez & Arnold Domínguez, 2019)","previouslyFormattedCitation":"(José Hernández Rodríguez & Arnold Domínguez, 2019)"},"properties":{"noteIndex":0},"schema&= quot;:"https://github.com/citation-style-language/schema/raw/master/cs= l-citation.json"}(Hernández & Domínguez, 2019).

Según Ceballos-Gurrola et al. (2020), el ejercicio físico y una buena nutrición son pa= rte de un conjunto de parámetros que se deben seguir al momento de generar camb= ios en el perfil metabólico del ser humano a corto plazo. El mecanismo por el c= ual el ejercicio tiene un efecto beneficioso sobre el metabolismo de los múscul= os y de todo el cuerpo, quizás, es la participación en la regulación de los proc= esos catabólicos y anabólicos en función de los requerimientos energéticos (Hernández & Licea-Puig, 2017), además de mejorar la función mitocondrial activa= ndo la biogénesis y remodelación mitocondrial, aumentando la densidad de las mitocondrias y su vitalidad (Mahecha, 2021).

En concordancia con las normas disponibles para el entrenamiento físico, direccionadas hacia los trastornos metabólicos de sobrepeso o bajo peso, la regularidad y la intensidad moderada son los principios fundamentales del proceso de ejercitación (Fuentes-Barria et al., 2021). Diferentes autores recomiendan un mínimo de 45 minutos entrenamiento físico de intensidad de carácter moderada por día para mantener una condición física y composición corporal adecuada (Tapia-Serrano et al., 2020). Sin embargo, se da preferencia a caminar durante= 60 minutos de intensidad moderada en combinación con otros tipos de actividad direccionadas a la disminución del tejido graso por la incursión del sistema energético aeróbico (Silva, 2018). Es necesario incluir períodos de actividad físic= a de 10 a 15 minutos con o sin equipo de ejercicio simple, y evitar sentarse dur= ante el tiempo libre. Una actividad física de 45 minutos lograda durante 3 sesio= nes de 15 minutos por día equivale a un gasto energético de 1500 kcal – 1800 kc= al por semana (Cruz et al., 2020). La expansión del entrenamiento físico, tanto en intensidad como en duración, debe ser gradual (en 15 min / sesión / semana), comenzando con ejercicio de baja intensidad es decir menores a 3 MET de tra= bajo (Pérez et al., 2019).

Además se considera la combinación óptima de ejerc= icio anaeróbico o de trabajo muscular y aeróbico, que le permite lograr una reducción más significativa del peso corporal y la masa grasa, mientras se mantiene la masa magra en comparación con el ejercicio aeróbico o anaeróbico aislado (Aguilar et al., 2014). De igual manera, el ejercicio regular aumenta la sensibilidad a la insulina, los niveles de triglicéridos y la morbilidad y mortalidad cardiovascular dentro de los procesos fisiológicos.

De esta manera el entrenamiento físico regular, estructurados en base a ejercicios aeróbicos y anaeróbicos, debe ser un componente integral de la prevención y el tratamiento de los trastornos metabólicos, incluido el síndrome metabólico (Mantilla-Morrón et al., 2018).

Tomando en cuenta la problemática analizada y los problemas conocidos por falta la práctica de la actividad física de los estudiantes universitarios de formación en Pedagogía de la Actividad Física como producto de la reducción del entrenamiento físico habitual en el desarrollo del proceso de enseñanza aprendizaje, se plantea como objetivo principal del estudio determinar el perfil metabólico de los estudiantes en formación de la carrera de Pedagogía de la actividad física y establecer las recomendaciones de entrenamiento físico adecuado, tanto de manera porcentua= l de sus componentes así como el tipo de ejercicios adecuados.=

Metodología

El estudio se planteó en base a un enfoque de investigación cuantitativo, a través de un tipo de investigación no experimental por alcance descriptivo y de corte trasversal, aplicando los métodos analítico y deductivo para el desarrollo de la investigación desde = lo teórico a lo práctico.  =

La población de estudio estuvo representada por estudiantes de la carrera de Pedagogía de la Actividad Física y Deporte de = la Universidad Técnica de Ambato - Ecuador. A través de un muestreo probabilís= tico se determinó una muestra de 460 estudiantes de ambos sexos y de diferentes semestres de formación de la carrera, los cuales tuvieron las siguientes características (tabla 1).

Tabla 1

Caracterización de la muestra de estudio

Variables de caracterización

Masculino

(n 326 – 70.9%)

Femenino

(n 134 – 29.1%)

P

Total

(n 460 – 100%)

M

DS

M

DS

M

DS

Edad cronológica

23.5

5.2

21.7

2.1

0.000

22.9

4.6

 

Tabla 1

Caracterización de la muestra de estudio (continuación)

Variables de caracterización

Masculino

(n 326 – 70.9%)

Femenino

(n 134 – 29.1%)

P

Total

(n 460 – 100%)

M

DS

M

DS

M

DS

Peso corporal

69.2

12.9

57.8

14.7

0.000

65.9

14.4

Estatura

169.4

6.5

156.5

5.7

0.000

165.6

8.6

IMC

24.1

4.3

23.6

5.7

0.009

23.9

4.8

Nota. Análisis descriptivo de valores medios (M) y desviaciones estándares (DS) c= on diferencias significativas en un nivel de P < 0.05; elaboración propia de los autores

Fuente: <= /span>Elaboración propia basado en datos arrojados por el sistema MetaV

 

La muestra de estudio en su mayoría estuvo representada por estudiantes del sexo masculino, en relación con las variab= les de edad cronológica, peso corporal, estatura e IMC, los valores medios de e= ste grupo descriptivamente fueron mayores que los del grupo femenino, resultados que estadísticamente se respalda con un nivel de significación de P < 0.= 05 en todas las variables. Por la existencia de diferencias significativas tod= os los resultados de evaluación del perfil metabólico se presentan segmentados= por sexo y de manera general.

La técnica aplicada fue la observación y como inst= rumento la plataforma tecnológica de aplicación online de MetaV creada por la Socie= dad Chilena de Educación Física Recreación y Salud –SCHEFRES, la cual permite r= ealizar la evaluación de múltiples parámetros al objeto de determinar la real valoración del estado de alerta metabólica temprana y de esta manera el per= fil metabólico del evaluado.

La plataforma desarrolla su análisis a través del ingreso de datos fisiológicos (edad, peso corporal, estatura), medidas antropométricas (perímetro de la cintura, cadera, brazo derecho relajado, pierna derecha medial y cuello), frecuencia de actividad física por tiempo = y su periodización semanal, hábitos de vida saludable (consumo de tabaco y alcoh= ol) y valores sistólicos y diastólicos de la presión arterial. Estos datos de entrada permiten de manera automatizada calcular parámetros de IMC, porcent= aje de grasa corporal, masa muscular y porcentaje de masa residual y otros, fid= elizados a través de logaritmos basados en formulas internacionales (tabla 2) y el modelo antropométrico de Heat-Carter que es una descripción cuantificada de= la forma física, que se expresa a través de una escala numérica y gráfica, con= el objetivo de conciliar universalmente estos protocolos.

 

 

Tabla 2

Formulas del sistema automatizado de la plataforma MetaV

Variable

Masculino

Femenino

IMC

peso [kg]/ estatura [m2]=

Porcentaje de grasa=

Densidad Corporal (DC) = =3D C – [M * Log (Suma Pliegues*0,4)]

%G =3D (4,95 / DC -4,5) = * 100

Densidad Corporal (DC) = =3D C – [M * Log (Suma Pliegues*0,4)]

%G =3D (4,95 / DC -4,5) = * 100

Porcentaje Masa Muscular=

Ecuación de Drinkwater y= Ross (7)

MM =3D (Z x 2,99 + 25,55= ) /(170,18/T)3

Ecuación de Drinkwater y= Ross (7)

MM =3D (Z x 2,99 + 25,55= ) /(170,18/T)3

Porcentaje masa residual=

Peso corporal * 24,1/100=

Peso corporal * 20,9/100=

Fuente: <= /span>Elaboración propia basado en logaritmos sistema Me= taV

La plataforma de igual manera permite determinar diferentes niveles en base a un análisis del perímetro de cintura, grasa corporal y masa muscular, esto basado en que los parámetros de las ecuacion= es antropométricas hacen posible adaptarse asertivamente en un 99,5% a toda la población mundial, ya que poseen derivación de desviación estándar para tod= as las etnias y grupos etarios sobre los 15 años de edad, si bien el estudio de población especial hecho en Chile con una muestra de 7575 personas tiene el matiz somático de ese país los estándares ocupados son intencionalmente validados por la ISAK.

El sistema MetaV como informe final permite categorizar al evaluado en base a todos los datos analizados, en 9 niveles = de perfil metabólico asociados a diferentes colores (figura 1), caracterizados= por el nivel de entrada metabólica, un scoring arrojado por el propio sistema M= etaV y el nivel de la clase en base a sus hábitos de actividad física.

Figura 1

Niveles del perfil metabólico según la plataforma MetaV

Fuente: Scoring automático de la plataforma MetaV

 

En base al informe de perfil metabólico individual= del evaluado y su nivel asignado por la plataforma MetaV, el sistema determina recomendaciones de entrenamiento físico basado en el objetivo de nivelación= de los parámetros de composición corporal, la distribución en componentes de tiempo de calentamiento, trabajo aeróbico y de trabajo muscular en base a la disponibilidad de tiempo del evaluado para su ejecución. =

Se aplicó el paquete estadístico SPSS 27 para el sistema IBM, realizando un análisis de distribución frecuencial y porcentua= l en las diferentes variables cualitativas y un análisis descriptivo de valores medios y desviaciones estándares para variables cuantitativas. De igual man= era se realizó la prueba de normalidad de Kolmogorov-Smirnov para todas las variables cuantitativas determinando la aplicación de la prueba no paramétr= ica U de Mann-Withney para muestras independientes con distribución anormal, así como la prueba H de Kruskal-Wallis para muestras múltiples como es el caso = de los niveles de perfil metabólico MetaV para determinar la diferencia entre = las recomendaciones de los componentes del entrenamiento físico.

Resultados

Además de los parámetros básicos de edad, peso corporal, estatura, hábitos de vida saludable y presión arterial con su componente sistólico y diastólico, se ingresaron los diferentes perímetros corporales, basados en los protocolos básico ISAK, diferenciándolos por grupos de sexo (tabla 3).

Tabla 3

Perímetros corporales por grupos de sexo

Perímetros corporales

Masculino

(n 326)

Femenino

(n 134)

P

Total

(n 460)

M

DS

M

DS

M

DS

Perímetro cintura

85.7

10.5

76.7

7.4

0.000

83.1

10.5

Perímetro cadera

94.5

8.9

92.2

8.9

0.012

93.8

9.1

Perímetro brazo derecho

29.9

4.5

26.7

5.4

0.000

28.9

4.9

Perímetro pierna derecha

52.9

7.8

50.8

6.5

0.010

52.3

7.5

Perímetro cuello

38.1

3.1

33.6

2.7

0.000

36.8

3.6

 

Los perímetros ingresados presentaron diferencias significativas entre los grup= os por sexo en un nivel de P < 0.05 y en todos los casos por las características del sexo masculino los valores medios fueron superiores a l= os del sexo femenino. Estos perímetros y demás parámetros de entrada, procesad= os automatizadamente por el sistema MetaV, permitieron obtener los parámetros = de porcentajes de composición corporal de igual manera segmentados en grupos p= or sexo (tabla 4).

 

Tabla 4

Porcentajes de parámetros de composición corporal por grupos de sexo.=

Perímetros corporales

Masculino

(n 326)

Femenino

(n 134)

P

Total

(n 460)

M

DS

M

DS

M

DS

Porcentaje de grasa (%)

18.4

6.3

28.1

6.8

0.000

21.2

7.7

Porcentaje de masa muscular (%)

48.5

6.3

43.4

6.9

0.000

47.1

6.9

Porcentaje de masa residual y otros (%)

33.1

1.4

28.5

1.6

0.000

31.7

2.5

Fuente: <= /span>Elaboración propia basado en datos arrojados por el sistema MetaV

Los nuevos parámetros obtenidos permitieron determinar que, en relación con el porcentaje de gras= a, el sexo femenino presento un valor medio mayor en 10.3% que el grupo de sexo masculino, en el porcentaje de masa muscular el sexo masculino fue mayor en= un 5.1% y en el porcentaje de masa residual y otros fue mayor en 4.6%. estadísticam= ente existieron diferencias significativas en un nivel de P < 0.05 en todos l= os porcentajes analizados.

Los valores porcentuales obtenidos permitieron en base a los baremos propios del sistema, caracteriz= ar a las muestras de estudio por sexo en diferentes niveles que determinan la existencia de un parámetro adecuado o en situación de riesgo, empezando por= el parámetro del perímetro de la cintura (tabla 5).

Tabla 5

Distribución por niveles en base al perímetro de la cintura

Nivel

Masculino

Femenino

Total

f

%

f

%

f

%

Aceptable

231

70.9

127

94.8

77.8

77.8

Sobre lo normal

45

13.8

6

4.5

11.1

11.1

Riesgo

50

15.3

1

0.7

11.1

11.1

Total

326

100.0

134

100.0

100.0<= /p>

100.0<= /p>

Fuente: <= /span>Elaboración propia basado en datos arrojados por el sistema MetaV

A pesar del estado de inactividad física que los estudiantes a travesaron por las medidas adoptad= as en la pandemia del COVID-19, el mayor porcentaje de la muestra de estudio t= anto en el sexo masculino y con mayor valor en el sexo femenino, el perímetro de= la cintura se distribuyó en un nivel aceptable, no obstante, un porcentaje significativo (15.3) de estudiantes del sexo masculino presentaron un nivel= de riesgo.

De igual manera observamos= la distribución de niveles en relación con el porcentaje de grasa corporal (ta= bla 6).

Tabla 6

Distribución por niveles en base al porcentaje de grasa corporal

Nivel

Masculino

Femenino

Total

f

%

f

%

f

%

Riesgo

33

10.1

0

0

33

7.2

Aceptable

40

12.3

3

2.2

43

9.3

En forma

43

13.2

4

3.0

47

10.2

Élite

210

64.4

127

94.8

337

73.3

Total

326

100.0

134

100.0

460

100.0

Fuente: Elaboración propia basado en datos arrojados por el sistema MetaV

En relación con este parám= etro en ambos grupos el mayor porcentaje y sobre todo en el sexo femenino, se encontraron en un nivel élite según el porcentaje de grasa corporal, evidenciando además que solo en el grupo de sexo masculino existo un porcen= taje correspondiente a 1/10 parte de la muestra en un nivel de riesgo.

Como último dato de distribución por niveles se observaron los resultados en base al porcentaje= de masa muscular (tabla 7).

Tabla 7

Distribución por niveles en base al porcentaje de masa muscular

Nivel

Masculino

Femenino

Total

f

%

f

%

f

%

Aceptable

35

10.7

40

29.9

75

16.3

Normal

36

11.0

35

26.1

71

15.4

En forma

60

18.4

18

13.4

78

17.0

Élite

195

59.8

41

30.6

236

51.3

Total

326

100.0

134

100.0

460

100.0

Fuente: Elaboración propia basado en datos arrojados por el sistema MetaV

De igual manera por las características y memoria física de las muestras de estudio, la distribució= n en ambos grupos por sexo con una mayor diferencia en el sexo masculino fue en = el nivel élite de porcentaje de masa muscular, evidenciando que en relación con este parámetro no se observaron niveles de riesgo con valores dentro del ni= vel aceptable.

En base a todos los datos = de entrada, así como los procesados automatizadamente por la plataforma MetaV,= se pudieron obtener los diferentes niveles de perfil metabólico específicos del sistema, construidos por el nivel de composición corporal y la frecuencia de actividad física (tabla 8).

Tabla 8

Distribución por niveles de perfil metabólico de la plataforma MetaV en base a parámetro= s de composición corporal y frecuencia de actividad física=

Niveles plataforma MetaV

Masculino

Femenino

Total

f

%

f

%

f

%

Alto Riesgo/Nivel Básico

4

1.2

5

3.7

9

2.0

Riesgo/Nivel Básico

15

4.6

6

4.5

21

4.6

Sedentario/Nivel Básico

33

10.1

9

6.7

42

9.1

Normal Sedentario/Nivel Intermedio

23

7.1

14

10.4

37

8.0

Normal/Nivel Intermedio

33

10.1

12

9.0

45

9.8

En Forma/Nivel Intermedio

47

14.4

22

16.4

69

15.0

Deportivo/Nivel Avanzado

76

23.3

31

23.1

107

23.3

Atlético Nivel Avanzado

42

12.9

13

9.7

55

12.0

Elite/Nivel Avanzado

53

16.3

22

16.4

75

16.3

Total

326

100.0

134

100.0

460

100.0

Fuente: Elaboración propia basado en datos arrojados por el sistema MetaV

La distribución en base al sistema MetaV determino que los mayores porcentajes en ambos grupos por sex= o se encontraron en un nivel Deportivo/Nivel avanzado de entrenamiento y con menor frecuencia en un nivel Elite/Nivel avanzado de entrenamiento, sin embargo, un 16.9% del grupo de sexo masculino se encontr= ó en niveles de Alto riesgo a Sedentario con un nivel básico de entrenamiento, de igual manera un 14.9% del grupo de sexo femenino.

Tomando en cuenta los nive= les de perfil metabólico MetaV, los parámetros de composición corporal y las recomendaciones internacionales sobre entrenamiento físico, el sistema arro= jo las recomendaciones de entrenamiento por componentes de trabajo (tabla 9).<= o:p>

 

Tabla 9

Recomendaciones de entrenamiento físico por perfil metabólico

Perfil metabólico MetaV

Componentes entrenamiento

n

% x componente

Min x 45 min

Min x 60 min

Min x 90 min

Alto Riesgo/Nivel Básico Riesgo/Nivel Básico Sedentario/Nivel Básico

% calentamiento

72

10

5=

6=

9=

% trabajo aeróbico

70

32

42

63

% trabajo muscular

20

9=

12

18

Total

100

45

60

90

Tabla 9

Recomendaciones de entrenamiento físico por perfil metabólico (continuación)

Perfil metabólico MetaV

Componentes entrenamiento

n

% x componente

Min x 45 min

Min x 60 min

Min x 90 min

Normal Sedentario/Nivel Intermedio Normal/Nivel Intermedio En Forma/Nivel Interm= edio

% calentamiento

151

5

2=

3=

5=

% trabajo aeróbico

50

23

30

45

% trabajo muscular

45

20

27

41

Total

100

45

60

90

Deportivo/Nivel Avanzado Atlético Nivel Avanzado Elite/Nivel Avanzado

% calentamiento

237

5

2=

3=

5=

% trabajo aeróbico

30

14

18

27

% trabajo muscular

65

29

39

59

Total

100

45

60

90

Fuente: Elaboración propia basado en datos arrojados por el sistema MetaV

Las recomendaciones se construyeron en base a la necesidad de trabajo aeróbico y muscular, según el perfil metabólico de cada sujeto evaluado, observando de manera gradual la distribución de porcentajes por componente y el aumento progresivo de la temporalidad del entrenamiento. Para evidenciar que las recomendaciones son diferentes en base a cada perfil determinado, se aplicó un análisis estadís= tico (tabla 10), que permitió determinar las diferencias significativas entre las sugerencias planteadas en la muestra de estudio.  

Tabla 10

Análisis = de diferencias estadísticas entre las recomendaciones de componentes de entren= amiento por perfil metabólico MetaV

Estadísticos

% calentamiento

% trabajo aeróbico

% trabajo de musculación

H de Kruskal-Wallis

437.233

456.541

456.541

gl

2

2

2

Sig. asintótica

0.000

0.000

0.000

Fuente: Elaboración propia basado en datos arrojados por el sistema MetaV y procesados en el paquete estadístico SPSS

La prueba estadística aplicada para comparación de múltiples grupos arrojo que en los 3 componentes analizados existían diferencias significati= vas en un nivel de P < 0.05, que determina que para cada perfil existen diferentes porcentajes y valores temporales de calentamiento, trabajo aerób= ico y trabajo de musculación.

Como aporte de la investigación realizada y en respaldo a las recomendaciones por componentes de entrenamiento se planteó recomendaciones= de ejercicios físicos por nivel de perfil metabólico en base al nivel de entra= da y nivel de entrenamiento (figura 2).

 

Figura 2

Ejercicios físicos por perfil metabólico según niv= eles de entrada y entrenamiento

                                           

Los tipos de ejercicios planteados fueron totalizadores, de transferencia, musculares de empuje, multiarticulares sin utilización de sobrecarga, diseñ= ados en base a las cadenas cinemáticas y las características biomecánicas de su ejecución, con recomendaciones de dosificación de repeticiones, frecuencia = de series y descansos activos entre series y repeticiones, y sobre todo en dependencia de las posibilidades que el evaluado presenta según su perfil metabólico.

Conclusiones<= /o:p>

-        = ;  A través de la plataforma MetaV y su sistema automatizado de determinación de perfiles metabólicos en base a la composición corporal, frecuencia de entrenamiento y hábitos de vida saludable, se determinó que la muestra de estudio de estudiantes de la carrera de Pedagogía de la actividad Física y Deporte se encontraban en niveles elites y aceptables de porcentajes de grasa corporal, masa muscular y perímetro de la cintura, observando que el porcentaje de estudiantes en riesgo metabólico era reducido.  

-        = ;  El análisis de los diferentes parámetros de entrada y procesados por el sistema MetaV, permitió categorizar a los estudiantes en diferentes niveles de perfiles metabólico, observando que los mayores porcentajes de estudiantes por grupos de sexo se encontraban en el nivel avanzado por entrenamiento físico y en niveles de entrada atlético, deportivo y elite, fenómeno que se da por las característ= icas de estos estudiantes y la memoria física que el organismo humano sostiene a pesar de la inactividad física por aislamiento obligatorio por la pandemia = del COVID-19.

-&nb= sp;         Las recomendacione= s de entrenamiento físico se realizaron en base a los datos arrojados por el sis= tema MetaV, distribuyendo en base al perfil metabólico del evaluado y la = necesid= ad de trabajo aeróbico y muscular con un aumento de manera gradual de la distribu= ción de los porcentajes por componente y el aumento progresivo de la temporalidad del entrenamiento, además de ejercicios físicos como totalizadores, de transferencia, musculares de empuje, multiarticulares sin utilización de so= brecarga, diseñados en base a las cadenas cinemáticas y las características biomecáni= cas de su ejecución, con recomendaciones de dosificación de repeticiones, frecuencia de series y descansos activos entre series y repeticiones, y sob= re todo en dependencia de las posibilidades que el evaluado presenta.

Agradecimientos

Los autores desean agradecer a la Universi= dad Técnica de Ambato (UTA) y a la Dirección de Investigación y Desarrollo (DID= E) por su apoyo para la exitosa ejecución de este trabajo a través del proyect= o de investigación titulado "PERFIL GENÉTICO COMO DETERMINANTE DE LA SALUD = Y EL RIESGO METABÓLICO EN ESTUDIANTES universitarios tras un aislamiento domiciliario", código PFCHE17. De igual manera a la Sociedad Chilena de Educación Física Recreación y Salud –SCHEFRES que a través de la empresa Me= taV se proporcionó la accesibilidad de los créditos de evaluación necesarios pa= ra el desarrollo de la investigación.

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El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revista Conciencia Digital.


 

 

El artículo queda en propiedad de la revista y,= por tanto, su publicación parcial y/o total en otro medio tiene que ser autoriz= ado por el director de la Revista Conc= iencia Digital.

 

 

 

 


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ISSN: 2600-5859=

Vol. 6 No. 1.4, pp. 74= 7 – 765, marzo 2023

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