Evidence map›Paper›PMID 42273587›Full record

ArticleFrontiers in psychiatry2026

Aggression and emotional distress in adolescents: a cross-sectional chain mediation model of internet addiction and somatization.

Zhewei Su, Yiting Kong, Yuancen Zhong, Rui Wang, Qi Zhang, Jianmei Chen, Su Hong, Li Kuang

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Article in Frontiers in psychiatry, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhewei SuPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yiting KongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuancen ZhongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rui WangPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qi ZhangPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jianmei ChenPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Su HongPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li KuangPsychiatric Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adolescent depression and anxiety are major public health concerns. Aggression is frequently associated with internalizing symptoms, but the behavioral and body related mechanisms underlying this association remain insufficiently clarified. This study examined a theoretically proposed chain mediation model linking aggression with depressive and anxiety symptoms through internet addiction and somatization. Methods: A cross-sectional survey was conducted among 5,307 high school students in Chongqing, China. Participants filled in the Buss and Perry Aggression Questionnaire (BPAQ), Internet Addiction Test (IAT), Patient Health Questionnaire - 15 (PHQ - 15), Patient Health Questionnaire - 9 (PHQ - 9) and Generalized Anxiety Disorder Scale - 7 (GAD - 7). Regression based chain mediation analyses with 5,000 bootstrap samples were performed using PROCESS Model 6, with gender and age controlled as covariates. Results: The results showed that aggression was positively correlated with depressive symptoms (β = 0.256, p < 0.001) and anxiety symptoms (β = 0.275, p < 0.001). Chain mediation analysis showed that aggression was indirectly associated with mental health through three distinct pathways: 1. the independent mediating effect of internet addiction; 2. the independent mediating effect of somatization; 3. the sequential chain mediating effect from internet addiction to somatization. The model explained more variance in depressive symptoms (R² = 58.2%) than in anxiety symptoms (R² = 53.5%). Furthermore, the association between somatization and depressive symptoms (β = 0.457) was stronger than that between somatization and anxiety symptoms (β = 0.428). Conclusion: This study supports a statistically significant chain mediation pattern in which aggression is associated with depressive and anxiety symptoms through internet addiction and somatization. The findings suggest that somatization may represent an important body related correlate in the association between maladaptive digital behavior and emotional distress, with a slightly stronger association observed for depressive symptoms than for anxiety symptoms. These findings highlight the importance of integrated school based interventions that address digital behavior regulation, somatic symptom monitoring, and emotional distress among adolescents with higher aggressive tendencies.

Indexed as

adolescentsaggressionanxiety symptomschain mediationdepressive symptomsinternet addictionsomatization

Identifiers

PMID42273587
PMCPMC13246639

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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.