Disentangling Loneliness, Depression, and Social Media Use: A Gaussian, Mixed, and Bayesian Network Approach in the EU Loneliness Study

Our findings emphasize the central role of loneliness in triggering depressive symptoms and maladaptive SMU, with meaningful differences across sociodemographic groups. These insights support the development of targeted, symptom-level interventions in digital mental health.

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Publication Details

Journal
International Journal of Social Psychiatry
Published
2025-12-21
DOI
https://doi.org/10.1177/00207640251403835
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Disentangling Loneliness, Depression, and Social Media Use: A Gaussian, Mixed, and Bayesian Network Approach in the EU Loneliness Study

Cinzia Niolu, Tommaso B. Jannini, G. Di Lorenzo, Rodolfo Rossi et al.
International Journal of Social Psychiatry
Mental Health Research Topics
article

Disentangling Loneliness, Depression, and Social Media Use: A Gaussian, Mixed, and Bayesian Network Approach in the EU Loneliness Study

Cinzia Niolu, Tommaso B. Jannini, G. Di Lorenzo, Rodolfo Rossi, Alberto Siracusano, Simone Chillemi
article en

Abstract

Our findings emphasize the central role of loneliness in triggering depressive symptoms and maladaptive SMU, with meaningful differences across sociodemographic groups. These insights support the development of targeted, symptom-level interventions in digital mental health.

International Journal of Social Psychiatry
University of Rome Tor Vergata (IT), Fondazione Santa Lucia (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Openalex Percentile: Top 31%
Mental Health Research Topics
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