Evidence map›Paper›PMID 39614079›Full record

ArticleScientific reports2024

The symptom network of internet gaming addiction, depression, and anxiety among children and adolescents.

Yuntian Xie, Lu Tang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

2 authors.

Yuntian XieDepartment of Applied Psychology, Changsha Normal University, No. 9 Wanhuayuan Road, Ansha, Changsha, People's Republic of China. xieyuntian2008@163.com.ORCID 0000-0003-2869-4326
Lu TangDepartment of Applied Psychology, Changsha Normal University, No. 9 Wanhuayuan Road, Ansha, Changsha, People's Republic of China.

Funding

China Youth & Children Research Association 2023B01Philosophy and Social Science Foundation of Hunan Province 23YBJ08Research Project on the Theories and Practice of Hunan Women 22YB06
6 · The paper itself

Abstract

Internet gaming addiction (IGA), depression, and anxiety are significant issues among children and adolescents, with substantial social implications. Understanding the specific characteristics of this relationship is crucial for developing effective prevention and intervention strategies. The present study employed network analysis to explore the symptom network of IGA, depression, and anxiety among 1,548 Chinese children and adolescents. The results showed that the core symptoms of IGA among children and adolescents were "tolerance", "withdrawal", and "conflict". There was no significant gender difference in the structure, global strength, and core symptoms of IGA. Although there were no significant differences in the structure of the symptom network of IGA among children and adolescents of different ages, there were significant differences in global strength and some core symptoms ("conflict"). The core symptoms of the comorbidity of IGA, depression, and anxiety in children and adolescents included "feeling downhearted and blue", "breathing difficulty", "difficult to work up the initiative to do things", and "withdrawal". The comorbidity network did not show significant gender and age differences in network structure, but there were significant gender differences in global strength. Furthermore, there were significant gender and age differences in some core symptoms. The social impact of these findings is profound, highlighting the need for targeted interventions in schools and communities to address IGA and its comorbidities. Our results also suggest that interventions should be tailored to consider gender and age differences to maximize effectiveness.

Indexed as

AnxietyDepressionInternet Addiction DisorderAdolescentBehavior, AddictiveChildChinaComorbidityFemaleHumansInternetMaleVideo GamesAnxietyChildren and adolescentsDepressionInternet gaming addictionNetwork of symptoms

Identifiers

PMID39614079
PMCPMC11607465

What OpenQuestion holds

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Registered trials

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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.