Evidence map›Paper›PMID 30010411›Full record

SynthesisJournal of behavioral addictions2018

Prevalence of Internet addiction disorder in Chinese university students: A comprehensive meta-analysis of observational studies.

Lu Li, Dan-Dan Xu, Jing-Xin Chai, Di Wang, Lin Li, Ling Zhang, Li Lu, Chee H Ng, Gabor S Ungvari, Song-Li Mei and 1 more

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 12 pooled it
26.1field-weighted citation impact, top 1% of its field
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

77 citing papers in PubMed, 12 syntheses or guidelines pooled it, 176 citations in OpenAlex.

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  10. Genetics of OCD and Related Disorders; Searching for Shared Factors.Current topics in behavioral neurosciences · 2021
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17 more citing papers are in PubMed but not listed here.

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

11 authors at 7 institutions in 3 countries.

Lu Li1 Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) , Guangzhou, China.
Dan-Dan Xu2 Unit of Psychiatry, Faculty of Health Sciences, University of Macau , Macao SAR, China.
Jing-Xin Chai4 Department of Health Education, Beijing Centers for Disease Prevention and Control , Beijing, China.
Di Wang6 The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University , Beijing, China.
Lin Li7 Department of Pharmacy, The First Affiliated Hospital of Zhejiang University , Hangzhou, China.
Ling Zhang6 The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University , Beijing, China.
Li Lu2 Unit of Psychiatry, Faculty of Health Sciences, University of Macau , Macao SAR, China.
Chee H Ng8 Department of Psychiatry, University of Melbourne , Melbourne, VIC, Australia.
Gabor S Ungvari9 Department of Psychiatry, University of Notre Dame Australia/Graylands Hospital , Perth, WA, Australia.
Song-Li Mei10 Shool of Public Health, Jilin University , Changchun, China.
Yu-Tao Xiang2 Unit of Psychiatry, Faculty of Health Sciences, University of Macau , Macao SAR, China.
University of Macau · MOBeijing Anding Hospital · CNThe University of Notre Dame Australia · AUBeijing Center for Disease Prevention and Control · CNCapital Medical University · CNFirst Affiliated Hospital Zhejiang University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsInternet addiction disorder (IAD) is common in university students. A number of studies have examined the prevalence of IAD in Chinese university students, but the results have been inconsistent. This is a meta-analysis of the prevalence of IAD and its associated factors in Chinese university students.

methodsBoth English (PubMed, PsycINFO, and Embase) and Chinese (Wan Fang Database and Chinese National Knowledge Infrastructure) databases were systematically and independently searched from their inception until January 16, 2017.

resultsAltogether 70 studies covering 122,454 university students were included in the meta-analysis. Using the random-effects model, the pooled overall prevalence of IAD was 11.3% (95% CI: 10.1%-12.5%). When using the 8-item Young Diagnostic Questionnaire, the 10-item modified Young Diagnostic Questionnaire, the 20-item Internet Addiction Test, and the 26-item Chen Internet Addiction Scale, the pooled prevalence of IAD was 8.4% (95% CI: 6.7%-10.4%), 9.3% (95% CI: 7.6%-11.4%), 11.2% (95% CI: 8.8%-14.3%), and 14.0% (95% CI: 10.6%-18.4%), respectively. Subgroup analyses revealed that the pooled prevalence of IAD was significantly associated with the measurement instrument (Q = 9.41, p = .024). Male gender, higher grade, and urban abode were also significantly associated with IAD. The prevalence of IAD was also higher in eastern and central of China than in its northern and western regions (10.7% vs. 8.1%, Q = 4.90, p = .027).

conclusionsIAD is common among Chinese university students. Appropriate strategies for the prevention and treatment of IAD in this population need greater attention.

Indexed as

InternetBehavior, AddictiveChinaHumansObservational Studies as TopicPrevalenceStudentsUniversitiesChinaInternet addiction disordermeta-analysisuniversity students

Identifiers

PMID30010411
PMCPMC6426360
OpenAlexW2883260724

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.