Evidence map›Paper›PMID 40357516›Full record

ArticleFrontiers in psychiatry2025

Relations between peer bullying and adolescent depression: the mediating effect of cellphone usage.

Ying Shen, Yongjie Zhou, Shuyang Ren, Yanyan Li, Yongshi Liu, Rong Zhou, Xiwang Fan, Guangping Xie

Abstract read
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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ying Shen *Psychosomatic Medicine, Ganzhou Third People's Hospital, Ganzhou, China.
Yongjie Zhou *Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China.
Shuyang Ren *Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Yanyan LiClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Yongshi LiuClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Rong ZhouClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Xiwang FanClinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Guangping XiePsychiatric Clinic, Ganzhou Maternal and Child Health Hospital, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Adolescent depression is a growing concern worldwide. This study explores the relationship between peer bullying, cellphone usage, and adolescent depression, aiming to investigate a mediation effect model based on Erikson's stages of psychological development. Methods: Using a cluster sampling method and a cross-sectional survey, a total of 2343 adolescents aged 12 to 18 were recruited from 12 national medical institutions. Cluster sampling was used to select participants who were confirmed to have depression. The survey employed the Multidimensional Peer Victimization Scale (MPVS), the Mobile Phone Addiction Index (MPAI), and the Patient Health Questionnaire (PHQ-9) for paper-and pencil evaluations. The three variables were analyzed using SPSS 26 software, applying correlation analysis and multiple linear regression analysis. Results: The results showed that peer bullying has significant positive correlation with depression (r=0.330, p<0.001) and with cellphone use (r=0.287, p<0.001). Furthermore, cellphone usage was positively correlated with depression (r=0.333, p<0.001). Additionally, cellphone usage had a partial mediating effect between peer bullying and depression (r=0.414, p<0.001, b=0.234). The results underscore the crucial role of peer relationships in adolescent psychological development. Cellphone addiction mediates the link between adolescent depression and peer bullying, highlighting its significant impact. Conclusion: These findings contribute to understanding the interplay between social influence and depression, offering practical guidelines for fostering a supportive school environment and regulating adolescents' phone use.

Indexed as

adolescent depressioncellphone addictionmobile phone addiction index (MPAI)multidimensional peer victimization scale (MPVS)patient health questionnaire (PHQ-9)peer bullying

Identifiers

PMID40357516
PMCPMC12066570

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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.