Evidence map›Paper›PMID 39501224›Full record

ArticleBMC psychiatry2024

Network analysis of childhood maltreatment and internet addiction in adolescents with major depressive disorder.

Song Wang, Feng Geng, Mengyue Gu, Jingyang Gu, Yudong Shi, Yating Yang, Ling Zhang, Mengdie Li, Lei Xia, Huanzhong Liu

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

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

10 authors.

Song Wang *Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Feng Geng *Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Mengyue GuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Jingyang GuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Yudong ShiDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Yating YangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Ling ZhangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Mengdie LiDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Lei XiaDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Huanzhong LiuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China. huanzhongliu@ahmu.edu.cn.

Funding

A multimodal integrated study of the pathogenesis and clinical intervention of adolescent depression 2022zhyx-B01
6 · The paper itself

Abstract

backgroundChildhood 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.

methodsA 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.

resultsNetwork 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.

conclusionThe 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.

Indexed as

Child AbuseInternet Addiction DisorderMajor Depressive DisorderAdolescentChildChinaCross-Sectional StudiesFemaleHumansInternetMaleSurveys and QuestionnairesAdolescentsChildhood adversityInternet dependenceMajor depressive disorderMental health interventionNetwork analysis

Identifiers

PMID39501224
PMCPMC11539693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.