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Network analysis of childhood maltreatment and internet addiction in adolescents with major depressive disorder.
- Source :
-
BMC psychiatry [BMC Psychiatry] 2024 Nov 05; Vol. 24 (1), pp. 768. Date of Electronic Publication: 2024 Nov 05. - Publication Year :
- 2024
-
Abstract
- Background: Childhood maltreatment (CM) is closely linked to internet addiction (IA), especially in adolescents with Major Depressive Disorder (MDD). Previous studies have shown that adolescents who experience CM are more likely to develop IA and other psychological problems. This study aims to explore the complex relationship between CM and IA through network analysis, particularly identifying the core symptoms and bridge symptoms to better understand the development of IA in these adolescents.<br />Methods: A cross-sectional study was conducted in seven hospitals in Anhui Province, China, involving 332 adolescents diagnosed with MDD using DSM-5 criteria. The Childhood Trauma Questionnaire - Short Form (CTQ-SF) and the Internet Addiction Test (IAT) were used to assess CM and IA symptoms, respectively. Gender-based network analysis was also performed.<br />Results: Network analysis constructed a CM-IA network and identified core and bridge symptoms. "Depress/moody/nervous being offline", "Request an extension for longer time", "Sleep loss due to late-night logins", and "emotional abuse" emerged as central symptoms within the CM-IA network. Additionally, "emotional abuse", "sexual abuse", and "complaints about online time" were identified as key bridge symptoms linking CM and IA. These symptoms demonstrated significant connectivity, underscoring their critical role in linking CM and IA.<br />Conclusion: The findings highlight the complex relationship between CM and IA in adolescents with MDD. Specific symptoms, such as emotional abuse and online-related symptoms, play important roles in understanding and intervening in adolescent IA. Future interventions should target these core and bridge symptoms for more effective prevention and treatment.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Adolescent
Male
Female
Cross-Sectional Studies
China epidemiology
Child
Surveys and Questionnaires
Internet
Depressive Disorder, Major psychology
Depressive Disorder, Major epidemiology
Internet Addiction Disorder psychology
Internet Addiction Disorder epidemiology
Child Abuse psychology
Child Abuse statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1471-244X
- Volume :
- 24
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BMC psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- 39501224
- Full Text :
- https://doi.org/10.1186/s12888-024-06224-x