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La rumiación es más importante que otras variables en la asociación entre el uso de las redes sociales y la

Jianling Ma¹, Chang Liu²

¹Chongqing University of Posts and Telecommunications, Chongwen Road, Nan' an District, Chongqing, 400615, China.

Journal of affective disorders

|January 13, 2026

Resumen

El uso de las redes sociales (UMS) y la depresión están complejosmente vinculados. La rumiación, la envidia y el agotamiento impactan significativamente a los estudiantes universitarios.

Área de la Ciencia:

Psicología
Salud Pública
Estudios de Medios Digitales

Sus antecedentes:

La asociación entre el uso de las redes sociales (UMS) y la salud mental, específicamente la depresión, carece de conclusiones definitivas.
Los estudiantes universitarios representan un grupo demográfico con alto UMS y vulnerabilidad a los desafíos de salud mental.
La investigación existente a menudo pasa por alto los factores matizados que contribuyen a la relación UMS-depresión.

Objetivo del estudio:

Investigar la relación multifacética entre varios aspectos del UMS y la depresión en estudiantes universitarios.
Identificar los factores psicológicos clave que median el vínculo entre el UMS y los síntomas depresivos.
Explorar patrones distintos de UMS y su impacto diferencial en la salud mental.

Principales métodos:

Se reclutaron 925 estudiantes universitarios de dos universidades en Chongqing, China.
Se utilizaron cuestionarios de autoinforme para recopilar datos sobre UMS activo/pasivo, envidia, agotamiento, sobrecarga, adicción, rumiación y depresión.
Se emplearon el aprendizaje automático y el análisis de redes para examinar las asociaciones de variables e identificar perfiles de UMS.

Principales resultados:

El aprendizaje automático identificó la rumiación, la envidia, la adicción a las redes sociales y el agotamiento como predictores significativos de la depresión.
La rumiación mostró la asociación más fuerte con la depresión, seguida de su vínculo directo en el análisis de redes.
Emergieron tres perfiles distintos de UMS: uso bajo, moderado y alto, y el grupo de uso alto reportó los niveles más altos de depresión.

Conclusiones:

La relación entre el UMS y la depresión es compleja, influenciada por factores psicológicos como la rumiación y el agotamiento.
Los altos niveles de UMS se asocian con un aumento de los síntomas depresivos en estudiantes universitarios.
Los hallazgos subrayan la necesidad de intervenciones personalizadas que aborden comportamientos específicos de UMS y correlatos psicológicos para mitigar la depresión.

Palabras clave:

Depresión Análisis de perfiles latentes Aprendizaje automático Uso de redes sociales

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