Evidence map›Paper›PMID 40297375›Full record

ArticleDigital health

Research landscape and trends of internet addiction disorder: A comprehensive bibliometric analysis of publications in the past 20 years.

Xiaodong Cheng, Yan Fan, Sen Li, Xiao Li, Shushu Jin, Cong Zhou, Yu Feng

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

7 authors.

Xiaodong ChengDepartment of Psychiatry, Shandong Daizhuang Hospital, Jining, China.ORCID https://orcid.org/0009-0002-6271-6381
Yan FanDepartment of Psychiatry, Shandong Daizhuang Hospital, Jining, China.ORCID https://orcid.org/0009-0006-9308-1779
Sen LiSchool of Mental Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0000-0003-4124-4178
Xiao LiHealth Management Center, Affiliated Hospital of Jining Medical University, Jining, China.
Shushu JinDepartment of Psychology, Affiliated Hospital of Jining Medical University, Jining, China.
Cong ZhouSchool of Mental Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0000-0003-3368-654X
Yu FengDepartment of Psychiatry, Shandong Daizhuang Hospital, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet addiction disorder (IAD) has emerged as a significant public health concern in the digital age, with implications for mental health and social wellbeing. Despite growing recognition, IAD remains a relatively nascent field within academic research. Methods: We conducted a comprehensive bibliometric analysis to explore the global research landscape and trends of IAD. Our methodology involved analyzing author analysis, journal analysis, keywords, and citations in publications related to IAD from 2004 to 2024. Results: We identified "internet addiction," "internet gaming disorder," and "adolescent" as the most frequently occurring keywords, highlighting significant research areas within IAD. The analysis revealed that terms like "social media addiction," "problematic smartphone use," and "COVID-19" have gained prominence in recent years, reflecting the evolving nature of digital technology's impact on mental health. Clustering analysis illustrated the interdisciplinary nature of IAD research, integrating insights from psychology, sociology, network science, and psychiatry. Citation analysis identified highly influential papers, such as Kuss and Griffiths' review on social networking addiction and Brand et al.'s I-PACE model for internet-use disorders. Conclusions: Our findings highlighted the importance of continuing interdisciplinary research to address the multifaceted challenges of IAD. Future research should focus on the intersections of digital behaviors with mental health, personality traits, and social dynamics to develop comprehensive strategies for prevention and intervention.

Indexed as

bibliometric analysisInternet addiction disorderinternet gaming disordermental healthproblematic smartphone usesocial media addiction

Identifiers

PMID40297375
PMCPMC12034966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.