Unveiling the hidden connections: network analysis of depressive symptoms, internet addiction, and attachment in Chinese children and adolescents

Abstract Background Children and adolescents diagnosed with major depressive disorder (MDD) often grapple with significant non-suicidal self-injury (NSSI), linked to interpersonal challenges, insecure attachment, and internet addiction. This study explores these relationships in children and adolescents using network analysis, drawing data from seven hospitals in China. Results The study included 162 youths with depressive disorder and 102 healthy controls from seven hospitals. The MDD + NSSI group exhibited severe internet addiction, heightened depressive symptoms, and insecure attachment. Network analysis identified central symptoms (compulsive use) and key bridge symptoms (tolerance symptoms) in the networks related to depressive symptoms, internet addiction, and attachments. These findings suggest potential targets for intervention among children and adolescents at risk for or suffering from depression. Conclusions This study sheds light on the intricate relationship between NSSI, attachment issues, and internet addiction in Chinese adolescents with MDD. The network analysis pinpointed central and key bridge symptoms, offering valuable insights for targeted interventions in children and adolescents at risk for or experiencing depression and associated challenges.

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Publication Details

Journal
The Egyptian Journal of Neurology Psychiatry and Neurosurgery
Published
2024-09-17
DOI
https://doi.org/10.1186/s41983-024-00883-z
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.51

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article

Unveiling the hidden connections: network analysis of depressive symptoms, internet addiction, and attachment in Chinese children and adolescents

Li-Li Peng, Shin-Jie Wang, Xianbin Wang, Xianying Ai et al.
1 citations
The Egyptian Journal of Neurology Psychiatry and Neurosurgery
Mental Health Research Topics
0.51
article

Unveiling the hidden connections: network analysis of depressive symptoms, internet addiction, and attachment in Chinese children and adolescents

Li-Li Peng, Shin-Jie Wang, Xianbin Wang, Xianying Ai, Ning Ding, Wenyan Zhang, Peiru Xu, Dongdong Qiao, Yanhui Zhu, Chao Liu, Chunxiang Wei
article en
1 citations

Abstract

Abstract Background Children and adolescents diagnosed with major depressive disorder (MDD) often grapple with significant non-suicidal self-injury (NSSI), linked to interpersonal challenges, insecure attachment, and internet addiction. This study explores these relationships in children and adolescents using network analysis, drawing data from seven hospitals in China. Results The study included 162 youths with depressive disorder and 102 healthy controls from seven hospitals. The MDD + NSSI group exhibited severe internet addiction, heightened depressive symptoms, and insecure attachment. Network analysis identified central symptoms (compulsive use) and key bridge symptoms (tolerance symptoms) in the networks related to depressive symptoms, internet addiction, and attachments. These findings suggest potential targets for intervention among children and adolescents at risk for or suffering from depression. Conclusions This study sheds light on the intricate relationship between NSSI, attachment issues, and internet addiction in Chinese adolescents with MDD. The network analysis pinpointed central and key bridge symptoms, offering valuable insights for targeted interventions in children and adolescents at risk for or experiencing depression and associated challenges.

The Egyptian Journal of Neurology Psychiatry and NeurosurgeryVol. 60(1)
Qingdao University (CN), Nantong University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Second People's Hospital of NanTong (CN), Shandong Mental Health Center (CN), Ningbo Kangning Hospital (CN), Weihai Municipal Hospital (CN), Weihai Chest Hospital (CN), Beijing Children’s Hospital (CN), Qingdao Women and Children's Hospital (CN)
Key Technology Research and Development Program of Shandong, Guizhou Education Department Youth Science and Technology Talents Growth Project
Openalex Percentile: Top 30%
Mental Health Research Topics
0.51
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