Evidence map›Paper›PMID 40823149›Full record

ArticlePsychology research and behavior management2025

The Protective Role of Social Inclusion: Loneliness as a Mediator Between Excessive Internet Use and Depressive Symptoms in Adolescents.

Jing Zhou, Ning Zhu, Katarzyna Suwada, Timo Toikko

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Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jing ZhouSchool of Law, Shanghai Lixin University of Accounting and Finance, Shanghai, People's Republic of China.ORCID 0000-0002-4306-3170
Ning ZhuDepartment of Social Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0001-8746-9829
Katarzyna SuwadaInstitute of Sociology, Nicolaus Copernicus University, Toruń, Poland.ORCID 0000-0001-8785-855X
Timo ToikkoDepartment of Social Sciences, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0001-9452-8022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Excessive Internet Use (EIU) represents a significant concern among adolescents, with growing evidence linking it to adverse mental health outcomes, particularly depressive symptoms. Purpose: This study aims to examine the relationship between EIU and depressive symptoms among adolescents, focusing on the mediating role of loneliness and the moderating effect of social inclusion. Methods: Drawing on data from the Finnish School Health Promotion Study (N = 131,528), we employed validated measures to assess EIU, loneliness, depressive symptoms, and social inclusion. A moderated mediation model was conducted using PROCESS macro for SPSS to examine the direct and indirect associations between EIU and depressive symptoms. Social inclusion, defined as adolescent perceived sense of belonging, acceptance, and participation within their social environment, was tested as a buffering factor in both the direct and indirect pathways. Results: EIU was significantly associated with increased depressive symptoms, and loneliness emerged as a significant mediator, accounting for 39.5% of the total effect. Social inclusion demonstrated a significant moderating effect, weakening both the direct path from EIU to depressive symptoms and the indirect path through loneliness. The buffering effect of social inclusion was particularly pronounced in reducing the impact of loneliness on depression, with stronger protective effects observed among adolescents reporting higher levels of social inclusion compared to those with lower levels. Conclusion: These findings advance our theoretical understanding of how digital behavior impacts adolescent mental health and provide evidence-based insights for developing comprehensive interventions. Effective strategies to address EIU-related depressive symptoms should incorporate both loneliness reduction and social inclusion enhancement to promote adolescent well-being in the digital age.

Indexed as

adolescentsdepressive symptomsexcessive internet uselonelinessmoderated mediationsocial inclusion

Identifiers

PMID40823149
PMCPMC12357359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.