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<= span style=3D'font-size:18.0pt;line-height:150%;color:black;mso-themecolor:text1; mso-ansi-language:ES-EC'>Adicción al dispositivo móvil y síntomas prefronta= les en estudiantes universitarios =

 

Mobile device addiction and prefrontal= symptoms in college students

 <= /o:p>


= 1

Rosario Isabel Cando Pilatuña

 

 

Maestría en Ciencias Psicológicas con mención en Neuropsicología, Universidad Cent= ral del Ecuador, Quito, Ecuador.

icando@unach.edu.ec<= span style=3D'font-size:10.0pt;font-family:"Times New Roman",serif'>

= 2

Jenny Rocio Tenezaca Sánchez

 

 

Magister en Docencia Universitaria e Investigación Educativa, Universidad de Loja,= Loja, Ecuador.

jtenezaca@unach.edu.ec

= 3

Mayra Elizabeth Castillo Gónzales

https://orcid.org/0000-0002-141= 9-7452

 

 

Máster Universitario en Investigación en Psicología Aplicada a las Ciencias de la Salud (Especialidad en Investigación en Psicología Clínica) Universidad de Barcelona, Barcelona España.

mcastillo@unach.edu.ec

= 4

Juan Paúl Ponce Cando

 

 

Médico Endocrinólogo, Universidad de Ciencias Médicas de La Habana, La Habana, C= uba

jpaulpc@hotmail.com

 

 

 

 

 

Artícu= lo de Investigación Científica y Tecnológica

Enviado: 24/10/2023=

Revisado: 21/11/2023

Aceptado: 15/12/2023

Publicado:28/12/2023   

DOI: https://doi= .org/10.33262/anatomiadigital.v6i4.3.2804                =        <= /span>                 <= /span>               =

 =

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Cítese= :

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Cando Pilatuña, R. I., Tenezaca Sánchez, J. R., Castillo Gónzales, M. E., & Ponce Cando, J. P. (2023). Adicción al dispositivo móvil y síntomas prefrontales en estudiantes universitarios . Anatomía Digital, 6(4.3), 254-265. https://doi= .org/10.33262/anatomiadigital.v6i4.3.2804

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ANATOMÍA DIGITAL, es u= na Revista Electrónica, Trimestral, que se publicará en soporte electrónico tiene como misión contribuir a la   formación de profesionales competentes con visión humanística y crítica que sean capaces de exp= oner sus resultados investigativos y científicos en la misma medida que se promueva mediante su intervención cambios positivos en la sociedad. = https://anatomiadigital.org  

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

 

 

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Esta revista está protegida bajo una licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 International. Copia de la licencia: https://creative= commons.org/licenses/by-nc-sa/4.0/deed.es

 

Palabras claves:=

Dispos= itivo móvil, dependencia, síntomas prefrontales, conducta social.

 

Resumen

Introducción: el uso excesivo de dispositivos móviles ocasiona efectos negativos en la salud física y mental. Objetivo: e= stablecer la relación entre la dependencia al dispositivo móvil y los síntomas prefrontales. Metodología: se realizó un estudio cuantitativo, descriptivo, correlacional, no experimen= tal de corte transversal. La muestra estuvo constituida por 859 estudiantes d= e la Facultad de Ciencias de la Salud de la Universidad Nacional de Chimborazo matriculados en el periodo mayo-septiembre 2020, seleccionados por medio = de un muestreo aleatorio simple. Se aplicó el Test de Dependencia al Móvil. = Resultados: el 51.5 % posee un bajo uso excesivo del celular, seguido por el 34.4= % de universitarios con moderada abstinencia. En el Inventario de Síntomas Prefrontales se identificaron alteraciones en la conducta social con un 3= 6 % en un nivel bajo, y en los síntomas prefrontales con un 35 % en un nivel grave. También, se encontraron relaciones moderadas positivas entre la dependencia al dispositivo móvil y los síntomas prefrontales. Conclusi= ón: la adicción al dispositivo móvil en estudiantes universitarios se relaciona significativamente con los síntomas prefrontales.  Área de estudio general: Psicología Clínica. Área de estu= dio específica: Neuropsicología. Tipo de estudio: Artículo original.=

 

 

Keywords:

Mobile device, dependence, prefrontal symptoms, social behavior.

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Abstract

Introduction: excessive use of mobile devices causes negative effects on physical= and mental health. Objective: to establish the relationship between mo= bile device dependence and prefrontal symptoms. Methodology: a quantitative, descriptive, correlational, non-experimental cross-sectional study was conducted. The sample consisted of 859 students of the Faculty = of Health Sciences of the National University of Chimborazo enrolled in the period May-September 2020, selected by simple random sampling. The Mobile Depend= ence Test was applied. Results: 51.5% have low excessive cell phone use, followed by 34.4% of university students with moderate abstinence. In the Prefrontal Symptom Inventory, alterations in social behavior were identified with 36% at a low level, and in prefrontal symptoms with 35% a= t a severe level. Also, moderate positive relationships were found between mo= bile device dependence and prefrontal symptoms. Conclusion: mobile devi= ce addiction in college students is significantly related to prefrontal symptoms. General area of study: Clinical Psychology. Specific = area of study: Neuropsychology. Type of study: Original article.

 

 

 

 

Introducción

Actualmente, el uso excesivo de internet y del teléfono móvil puede está vincularse con efectos negativos producidos por trastornos psíquicos o psicológicos, a tal punto de convertirse en afines a los derivados del consumo de sustancias, g= racias a las similitudes encontradas (1).

Investigaciones con técnicas de neuroimagen relacionan el empleo continuo del teléfono móvil con un impacto en el funcionamiento cognitivo, a partir de alteraciones ejecutivas vinculadas a conductas de tipo adictivo (2). Así también, estas alteraciones en el funcionamiento prefrontal están acompañadas por un déficit en el quehacer cotidiano (3)= , por lo que el uso problemático del dispositivo móvil se relaciona de forma casi lineal con la magnitud de los síntomas de un mal control prefrontal y déficit de funciones ejecutivas (4).<= /p>

Consecuentemente, las adicciones al ciberespacio y a los dispositivos inteligentes se conectan con factores clínicos y psicológicos que abarcan la ansiedad, depresión, ag= resión, expresión del enojo y la inhibición del comportamiento (5). En tanto, en el plano educativo pueden advertirse resultados adversos derivados del empleo = incorrecto de dispositivos móviles, entre ellos la dispersión y distracción del estudiantado producto de la ingente posibilidad de opciones conducentes hac= ia terrenos no productivos como, por ejemplo, los juegos en línea. Así también, acopiar= una colosal información causa un rebosamiento en relación con el monto de conoc= imientos, apartando la utilización adecuada del elemento de saturación que cada alumno debe dominar para establecer en qué instante detener la búsqueda (6).<= /o:p>

Pinargote-Baque y Cevallos Cedeño (7), al ejecutar una investigación documental sobre el us= o y abuso de las TIC en el área educativa, alertan sobre los riesgos de los dis= positivos móviles en la salud física y mental (menoscabo de la memoria o de la destre= za organizativa, dificultades físicas, insomnio), así como la merma de la noci= ón del tiempo, propensión al consumismo, escasa seguridad, retraimiento, deterioro= de la actividad, desinterés y exclusión de los sujetos que no emplean las tecnolo= gías.

En tanto, Urrunaga et al. (8) advierten que las redes sociales y los dispositi= vos móviles sostienen una relación de dependencia, al punto de establecerse como elementos negativos en el desarrollo de acciones productivas para la vida personal y familiar, al provocar incomunicación, retroceso del lenguaje, déficit atencional, repitencia o abandono del ciclo escolar. Por influencia= de su formación ética y moral, pueden manifestarse delitos informáticos como l= a suplantación de identidad.

Las funciones ejecutivas se refieren a un conjunto de procesos de orden superior que permiten llevar a cabo comportamientos independientes, intencionados y auto-dirigidos (9), pues se encargan del control ejecutivo (memoria de trabajo, planificación, razonamiento, flexibilidad, inhibici= ón, toma de decisiones, estimación temporal, entre otras), control emocional (modulación de los inputs emocionales) y control social (ajustando las respuestas al contexto interpersonal) (10); por ello se distinguen, en términos generales, tres áreas frontales funcionalmente independiente= s, pero íntimamente relacionadas: CPF dorsolateral, CPF Ventromedial y CPF Orbital.=

La presente investigación persigue el objetivo de establecer la relación entre= la dependencia al dispositivo móvil y los síntomas frontales presentes en los estudiantes de la Facultad Ciencias de la Salud de la Universidad Nacional de Chimborazo (Unach) en Ecuador, matriculados en el periodo mayo-septiembre de 2020.

Metodología

Se realizó una investigación con enfoque cuantitativo, de tipo descriptivo, correlacional, no experimental = de corte transversal, en la Facultad de Ciencias de la Salud de la Unach duran= te el periodo mayo-septiembre 2020. La población estuvo constituida por 1745 estudiantes de 20 a 30 años que aceptaron el consentimiento informado y contestaron el formulario<= span style=3D'letter-spacing:-.55pt'> en los meses de mayo y junio. La muestra la conformaron 8= 59 alumnos y fue establecida por un mue= streo probabilístico aleatorio simple, con un rango de error del 2 % y un nivel de confianza del 90 %, para el efecto, se empleó el software estadístico SPSS.=  

Los datos obtenidos se recopilaron a través del Test de Dependencia al Móvil (T= DM) compuesto por 22 ítems que puntúan en una escala de tipo Likert de 0 a 4 puntos, en los primeros 10 ítem= s se evalúa la frecuencia con la que aparecen las situaciones descritas y los últimos 12 ítems evalúan si es= tá o no de acuerdo con la situación (11).<= /span> El test determina cuatro dimensiones; abstinencia, abuso y dificultad= en controlar el impulso, problemas ocasionados por el uso excesivo y toleranci= a (12).

La selección del TDM corresponde a que su fiabilidad, consistencia interna y validez ha sido demostrada, por ejemplo, por Fernández Castillo et al. en C= uba (13), quienes al analizar las puntuaciones de los factores relacionados con= la edad hallan diferencias en el Factor 2 A= bstinencia t (412.59) =3D 1,980, .045 con un tamaño de efecto pequeño d =3D0.17 donde sus medias son mayores en el grupo correspondie= nte a los estudiantes en el rango de 17 y 20 años.

En la misma línea, Durao et al. (14) adaptaron y validaron al entorno argentin= o el TDM y sus relaciones con la impulsividad. El estudio estuvo integrado por 3= 39 adultos residentes en el país, con edades comprendidas entre los 18 y 65 añ= os (M =3D 37.66; DT =3D 12.87), donde el 74.3 % correspondió al sexo femenino.= La batería de evaluación incluyó el TDM, la UPPS-P para evaluar impulsividad y variables ad hoc relacionadas c= on el uso del teléfono celular. Los autores declaran resultados la obtención de p= ropiedades psicométricas convenientes para la versión argentina del test. Igualmente, notaron relaciones entre todas las dimensiones del cuestionario y la impulsividad, como también diferencias según la edad y el sexo de los integ= rantes. Otras investigaciones (15, 16) constatan resultados similares, en función d= e demostrar la aplicabilidad y validez del TDM.

Por otra parte, para valorar los síntomas prefrontales se aplicó el Inventario = de Sintomatología Prefrontal (ISP), creado en España en 2012 por especialistas= en neuropsicología de las adicciones (17). Está compuesto por 46 preguntas que cuestionan las actividades diarias de los sujetos en las tres esferas de la actividad huma= na: cognición, emoción y conducta, en relación con los tres grandes síndromes d= e la corteza prefrontal (dorsolateral, ventromedial y orbital) (18) y que son respuestas con base en la escala de Likert que va de 0, “nunca o casi nunca= ” a “4 “siempre o casi siempre”.

La aplicación de los reactivos se ejecutó después de obtener los permisos corr= espondientes de las autoridades de la institución y el consentimiento informado de los participantes, respetando la confidencialidad mediante la exposición de los datos de forma anónima y utilizándolos únicamente con fines investigativos.=

Resultados

Tras la aplicación del TDM se destaca que el 51.5 % posee un bajo uso excesivo d= el celular, seguido por el 34.4 % de universitarios con moderada abstinencia, = el 28.6 % moderada dependencia al móvil, mientras que el 23.8 % refiere un moderado abuso y dificultad en controlar el impulso, como se muestra en la = tabla 1.

Tabla 1. Dimensiones de dependencia al dispositivo móvil y factores

Dimen= siones

Bajo<= o:p>

Moder= ado

Alto<= o:p>

F

%

F

%

F

%

Dependencia móvil

134

15.6<= o:p>

246

28.6<= o:p>

201

23.3<= o:p>

 

Tabla 1. Dimensiones de dependencia al dispositivo móvil y factores (conti= nuación)

Dimensiones

Bajo<= o:p>

Moder= ado

Alto<= o:p>

F

%

F

=  

F

%

Abstinencia

196

22.8<= o:p>

313

34.4<= o:p>

173

20.1<= o:p>

Abuso y dificultad en controlar el imp= ulso

87

10.1<= o:p>

204

23.8<= o:p>

134

15,6<= o:p>

Uso excesivo

442

51.5<= o:p>

96

11.2<= o:p>

351

40.1<= o:p>

Total

859

100

859

100

859

100

 

Los resu= ltados recolectados por el ISP revelan que el 36 % posee un nivel bajo en conducta social, mientras que el 35 % refleja un nivel grave en síntomas prefrontale= s y el 32.4 % presenta un nivel normal en control ejecutivo. Finalmente, el 30 = % muestra un nivel moderado en control emocional, como se observa en la tabla 2.=

= Tabla 2. Niveles de síntomas prefrontales y subescalas

Nivel= es

Bajo<= o:p>

Norma= l

Moder= ado

Grave=

F

%

F

%

F

%

F

%

Prefr= ontal

110

8.6

253

29.6<= o:p>

207

24.1<= o:p>

301

35.0<= o:p>

Contr= ol Ejecutivo

94

7.3

278

32.4<= o:p>

239

27.9<= o:p>

211

24.6<= o:p>

Condu= cta Social

461

36.0<= o:p>

124

14.4<= o:p>

155

18.0<= o:p>

275

32.0<= o:p>

Contr= ol Emocional

194

15.1<= o:p>

204

23.6<= o:p>

258

30.0<= o:p>

72

8.4

Total=

859

100

859

100

859

100

859

100

Se deter= mina una relación significativa entre la dependencia al móvil y los síntomas prefrontales con un valor de ,440**, datos mostrados en la tabla 3.

Tabla 3. Correlación entre dependencia al móvil y síntomas prefrontales

 =

Test de dependencia al móvil

Inventario de Sintomatología prefrontal

Test de dependenc= ia al móvil

Correlación de Pearson

1

,440**=

Sig. (bilateral)<= o:p>

 =

<,001

N

859

859

 

Tabla 3. Correlación entre dependencia al móvil y síntomas prefrontales (continuación)<= /span>

 =

 =

Test de dependenc= ia al móvil

Inventario de Sintomatología prefrontal

Inventario de Sin= tomatología prefrontal

Correlación de Pearson

,440**=

1

Sig. (bilateral)<= o:p>

<,001

 =

N

859

859

Discusión

La presente investigación estableció los niveles de dependencia al dispositivo móvil y síntomas prefrontales en universitarios. Se encontró que el 34.4 % = posee abstinencia al dispositivo móvil en un nivel moderado, mientras que el 28.6= % muestra una moderada dependencia al móvil, resultados concordantes con los del estu= dio expuesto por De la Cruz et al. (19), realizado en 351 universitarios, donde= se aprecia que el 57.8 % manifiesta abstinencia moderada que genera un cuadro de males= tar cuando no pueden utilizar el celular. Por otro lado, un 52.1 % de estudiant= es se encuentra en un nivel moderado de dependencia al celular pues su uso res= ulta excesivo.

Se demuestra, entonces, así como el celular ha traído múltiples beneficios a n= ivel mundial, sobre todo en universitarios al facilitarles el acceso a informaci= ón actualizada y comunicación constante, puede producir además patrones de comportamiento que abusan de su empleo, generando dependencias que repercut= en en la corteza prefrontal y que se manifiestan mediante los síntomas prefrontales.

Así, se destaca en esta investigación que un 36 % de estudiantes universitarios = posee un nivel bajo en conducta social, mientras que el 35 % manifiesta síntomas prefrontales graves, seguido por el 32.4 % que presenta un nivel normal en control ejecutivo y el 30 % con un nivel moderado en control emocional. Est= os resultados son similares a los expuestos por Pedrero y Ruiz (20) en España, quienes en= una población compuesta por 2.474 sujetos evidenciaron puntuaciones significativamente más altas en síntomas prefrontales, conducta social y control emocional, en esta última teniendo mayor puntuación de mujeres.

Se destaca la presencia de una relación significativa entre el uso del dispositivo móvil y la aparición de síntomas prefrontales. En una investigación (4) realizada con 1276 estudiantes universitarios de todas las edades y diferentes países de habla hispana, se reveló que el 50 % muestra una relación lineal positiva entre problema= s con el uso de todos los dispositivos o recursos explorados y síntomas de mal funcionamiento prefrontal en la vida diaria, riesgo de mala salud mental y estrés percibido. Asimismo, se observa la existencia= de una relación directa: así, entre mayor número de problemas en el uso de las tecnologías mayor será el número de síntomas de mal funcionamiento prefront= al.

Conclusiones

·&nb= sp;        Se ha trazado una ingente discusión acerca de la adicción y abuso de dispositivos móviles entre los estudiantes universitarios y el consecuente impacto en su resistencia; no solo a escala global, sino a nivel ecuatoriano.<= /span>

·<= span style=3D'font:7.0pt "Times New Roman"'>      =    El uso/abuso de los dispositivos móviles está relacionado con la aparición de síntomas prefrontales, entre los que se destaca el control ejecutivo y cont= rol emocional, pudiendo provocar la aparición de problemas de salud mental.

·      =    Los resultados del estudio accedieron a establecer= los niveles de dependencia al dispositivo móvil y sus factores. Más de un terci= o de la muestra presentó un nivel moderado de abstinencia al dispositivo móvil, mientras que casi un tercio de la muestra asumió poseer una moderada dependencia al móvil.

·      =    Así también, se destaca en esta investigación que = más de un tercio de la muestra de estudiantes universitarios posee un nivel baj= o en conducta social; asimismo, más de un tercio manifiesta síntomas prefrontales graves, más de un tercio presenta un nivel normal en control ejecutivo y un tercio posee un nivel moderado en control emocional.

·      =    Se constataron correlaciones positivas y moderadas entre la dependencia al dispositivo móvil y problemas en el control de la conducta social y control emocional en la muestra seleccionada. En consecuencia, deben diseñarse programas de manejo de emociones para que ges= tionen e intervengan sus impulsos o conductas y prescindan de la dependencia al dispositivo.

·      =    Por otra parte, se subraya la presencia de una relación significativa entre el uso del dispositivo móvil y la aparición de síntomas prefrontales. La naturaleza directa de esta relación incluye que: a mayor número de problemas en el uso de las tecnologías mayor número de sínt= omas de mal funcionamiento prefrontal. Por lo tanto, se propone que para investigaciones futuras se explore si los síntomas prefrontales son produci= dos propiamente por el mal uso de los dispositivos móviles o se trata de vulnerabilidades genéticas previas en los individuos.

·      =    Por último, resulta notable especificar que la dependencia a los dispositivos móviles en los estudiantes universitarios ecuatorianos no solo puede perjudicar las habilidades interpersonales, sino también provocar riesgos negativos para la salud y efectos psicológicos dañ= inos.

Conflicto de intereses <= /p>

Los autores afirman no tener conflicto de intereses.

Declaración de contribución de los autores 

Rosario Isabel Cando Pilatuña, redacción del artículo científico.

Jenny Rocio Tenezaca Sánchez,= búsqueda bibliográfica y redacci= ón de la metodología

Juan Paúl Ponce Cando, Búsqueda bibliográfica y dis= cusión de resultados

Mayra Elizabeth Castillo Gónz= ales, análisis estadístico.

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= 11.      =    Maman= i MC. Adaptación del Test de dependencia del móvil (TDM) en estudiantes de secund= aria de cinco instituciones educativas públicas, UGEL 01, 2018 [Tesis de pregrad= o]. Lima: Universidad César Vallejo; 2018. Disponible en: https://repositorio.ucv.edu.pe/bitstream/= handle/20.500.12692/25581/Mamani_OMC.pdf?sequence=3D4

12.      =    Gamero K, Flores C, Arias WL, Ceballos KD, Román A, Marquina E. Estandarización del Test de Dependencia al Celular para estudia= ntes universitarios de Arequipa. Persona [Internet]. Dic 2016 [citado 2021 Jul, = 16];(19):179-200. Disponible en: https://= www.redalyc.org/articulo.oa?id=3D147149810011

= 13.      =    Ferná= ndez-Castillo E, Chóliz M, Concepción A, Rodríguez YC, Monteagudo P. Evaluación de las propiedades psicométricas del Test de Dependencia al Teléfono Móvil en estudiantes universitarios cubanos. Revista Katharsis [Internet]. 2019 [cit= ado 2023 Ene 23];(27):73-85. Disponible en: https://dialnet.unirioja.es/descarga/arti= culo/7073915.pdf

14.      =    Durao M, Etchezahar E, Ungaretti J, Calligaro C. Propiedades psicométricas del Test de Dependencia al Teléfono Móvil (TDMB) = en Argentina y sus relaciones con la impulsividad. Actualidades en Psicología [Internet]. Jun 2021 [citado 2023 Sep 22];35(130):= 1-18. Disponible en: = https://www.scielo.sa.cr/pdf/ap/v35n130/2215-3535-ap-35-130-1.pdf

15.      =    Hilt JA. Dependencia del celular, hábitos y actitudes hacia la lectura y su relación con el rendimie= nto académico. Revista de Investigación Apuntes Universitarios [Interne= t]. Dic 2019 [citado 2023 Sep 22];9(3):103-116. Disponible en: https://apuntesuniversitarios.upeu.edu.pe/index.ph= p/revapuntes/article/download/384/pdf/

16.   &= nbsp;     Dias PC, García JA. Dependencia del móvil e impulsividad: Diferencias entre sexos y rango etario. Información Psicológi= ca [Internet]. 2022 [citado 2023 Sep 22];(123)= :15-23. Disponible en: https://repositorio.u= cp.pt/bitstream/10400.14/41822/1/70595774.pdf

17.      =    Mendoza Y, Cuello P, López V. Análisis psicométrico del Inventario de Sintomatología Prefrontal en sujetos adictos y no adictos. Revista Chilena de Neuropsicología [Internet]. Jul 2016 [citado 2021 Nov 10];11(1):24-29. Disponible en: https://www.redalyc.o= rg/pdf/1793/179346558002.pdf =

18.      =    Ruiz-Sánchez JM, Pedrero-Pérez EJ, Lozoya-Delgado = P, Llanero-Luque M, Rojo-Mota G, Puerta-García C. Inventario de síntomas prefrontales para la evaluación clínica de las adicciones en la vida diaria= : proceso de creación y propiedades psicométricas. Rev Neurol [Internet]. 2012 [citado 2021 Nov 10];54(11):649-63. Disponible en: https://= neurologia.com/articulo/2012019

19.      =    De la Cruz D, Torres L, Yánac E. Efectos de la dependencia al celular en las habilidades sociales de los estudiantes universitarios. RCCS [Internet]. 2019 [citado 2023 Ene 27];12(2):37-44. Disponible en: = https://revistas.upeu.edu.pe/ind= ex.php/rc_salud/article/view/1214 =

 

 

 

 

 

 

 

 

 

20.   

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento = de la Revista Anatomía Digital.<= /o:p>

 

 

 

 

El artículo queda en propiedad de la revista y, por tanto, su publicación parcial y/o total en otro medio tiene = que ser autorizado por el director de la Revista Anatomía Digital.<= /o:p>

 

 

 

 

 


 

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Vol. 6 No. 4.3, pp. 254 – 265, diciembre 2023

 

 

 

 

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