Desarrollo y validación de la Escala de Fatiga con las Redes Sociales y su predicción a partir de la personalidad normal, patológica y positiva

Development and validation of the Social Media Fatigue Scale and its prediction based on normal, pathological, and positive personality traits

Autores/as

  • Juliana Beatriz Stover Universidad de Buenos Aires, Facultad de Psicología. Investigadora Adjunta del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. https://orcid.org/0000-0003-2120-1031
  • Alejandro Castro Soalno Universidad de Buenos Aires. Facultad de Psicología. Universidad de Palermo. Facultad de Ciencias Sociales. Investigador Principal del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. https://orcid.org/0000-0002-4639-3706

DOI:

https://doi.org/10.17081/psico.28.54.6899

Palabras clave:

rasgos de personalidad normal, rasgos de personalidad patológicos, rasgos de personalidad positivos, fatiga con redes sociales

Resumen

Objetivos: (a) desarrollar y validar la Escala de Fatiga con las Redes Sociales (FRS) y (b) analizar la contribución incremental de los rasgos de personalidad normales y patológicos para predecir la FRS, así como el efecto moderador de los rasgos de personalidad positivos entre FRS y malestar psicológico.

 

Método: Estudio transversal, no experimental, con muestreo no probabilístico por conveniencia. Participaron 496 sujetos de población general argentina (53% mujeres, 46.6% varones, 0.2% otros géneros y el 0.2% no respondió; M edad= 40.6; DE edad = 14.85). Además de la prueba construida, se administraron: The Mental Health Continuum Short Form; Depression, Anxiety and Stress Scale; Iowa Netherlands Comparison Orientation Measure; Big Five Inventory y el Inventario de los Cinco Continuos de laPersonalidad.

 

Resultados: El análisis factorial exploratorio reveló una estructura de tres factores (cognitivo, emocional y conductual) que explicaban el 59.79% de la varianza. Se obtuvo una escala de 12 ítems con buenos valores de fiabilidad y validez. La versión final de 12 ítems presentó fiabilidad satisfactoria (α_total = 0.82; α_cognitiva = 0.70; α_emocional = 0.70; α_conductual = 0.69). Mediante dos análisis de regresiones jerárquicas se determinó que los rasgos patológicos añadieron varianza significativa sobre los rasgos normales para FRS-emocional (ΔR² = .06; R²_final = .15) y FRS-cognitiva (ΔR² = .03; R²_final = .07); para FRS conductual la mejora no fue significativa (ΔR² = .01). El neuroticismo, el afecto negativo y el desapego emergieron como predictores claves. Asimismo, los rasgos de personalidad positivos moderan la relación entre FRS y estrés (β_interacción =-.02; p = .007), indicando un efecto amortiguador pequeño.

 

Conclusiones: La FRS aporta evidencias sólidas de validez estructural y fiabilidad, subraya la utilidad de integrar rasgos normales, patológicos y positivos de la personalidad para comprender la fatiga con las redes sociales.

 

Limitaciones: Entre las limitaciones se destacan el diseño transversal, el muestreo no probabilístico y el uso exclusivo de autoinformes, lo que restringe la inferencia causal y la generalización de los resultados.

 

Aplicaciones: La escalas de FRS puede aplicarse en contextos clínicos, educativos y organizacionales para detectar usuarios en riesgo de malestar asociado al uso excesivo de redes sociales.

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Biografía del autor/a

Juliana Beatriz Stover, Universidad de Buenos Aires, Facultad de Psicología. Investigadora Adjunta del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Investigadora Adjunta (CONICET)

Jefa de Trabajos Prácticos (UBA)

Doctora en Psicología

Especialista en Estadística para Ciencias de la Salud

Licenciada en Psicología

Alejandro Castro Soalno, Universidad de Buenos Aires. Facultad de Psicología. Universidad de Palermo. Facultad de Ciencias Sociales. Investigador Principal del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Investigador Principal (CONICET)

Profesor Adjunto (UBA)

Doctor en Psicología
Licenciado en Psicología
Profesor de Psicología en Enseñanza Media y Superior

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Publicado

2026-02-09

Cómo citar

Stover, J. B., & Castro Soalno, A. (2026). Desarrollo y validación de la Escala de Fatiga con las Redes Sociales y su predicción a partir de la personalidad normal, patológica y positiva: Development and validation of the Social Media Fatigue Scale and its prediction based on normal, pathological, and positive personality traits. Psicogente, 28(54). https://doi.org/10.17081/psico.28.54.6899

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ARTÍCULOS

Datos de los fondos

  • Universidad de Buenos Aires
    Números de la subvención UBACyT 20020190100045BA "Perfil psicológico del usuario de Internet y de las redes sociales. Análisis de las características de personalidad positivas y negativas desde un enfoque psicoléxico y variables psicológicas mediadoras”.