Evidence map›Paper›PMID 35505828›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2022

Exploring subtypes and correlates of internet gaming disorder severity among adolescents during COVID-19 in China: A latent class analysis.

Chi Ian Chang, Hao Fong Sit, Tong Chao, Chun Chen, Jie Shen, Bolin Cao, Christian Montag, Jon D Elhai, Brian J Hall

Open access · bronzeAbstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
10.6field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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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

9 authors at 8 institutions in 6 countries.

Chi Ian ChangDepartment of Psychology, University of Macau, Macau, SAR People's Republic of China.
Hao Fong SitDepartment of Psychology, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region People's Republic of China.ORCID 0000-0003-3076-1049
Tong ChaoDepartment of Psychology, University of Macau, Macau, SAR People's Republic of China.
Chun ChenSchool of Humanities and Social Science, Chinese University of Hong Kong (Shenzhen), Shenzhen, People's Republic of China.ORCID 0000-0001-5705-944X
Jie ShenAmsterdam School for Cultural Analysis, University of Amsterdam, Amsterdam, The Netherlands.
Bolin CaoSchool of Media and Communication, Shenzhen University, Shenzhen, People's Republic of China.ORCID 0000-0001-8743-1361
Christian MontagDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.ORCID 0000-0001-8112-0837
Jon D ElhaiDepartment of Psychology, and Department of Psychiatry, University of Toledo, Toledo, OH USA.ORCID 0000-0001-5205-9010
Brian J HallCenter for Global Health Equity, New York University (Shanghai), Shanghai, 200122 People's Republic of China.ORCID 0000-0001-9358-2377
University of Macau · MOChinese University of Hong Kong, Shenzhen · CNNew York University Shanghai · CNShenzhen University · CNUniversity of Amsterdam · NLUniversity of Electronic Science and Technology of China · CNUniversity of Hong Kong · HKUniversity of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The WHO recently included Gaming Disorder as a psychiatric diagnosis. Whether there are distinct groups of adolescents who differ based on severity of gaming disorder and their relationships with other mental health and addictive behavior outcomes, including problematic smartphone use (PSU), remains unclear. The current study explored and identified subtypes of Internet Gaming Disorder (IGD) severity and estimated the association between these subtypes and other disorders. Participants completed online questionnaires assessing the severity of IGD, PSU, depression, and anxiety during COVID-19. We conducted a latent class analysis of IGD symptoms among 1,305 Chinese adolescents (mean age = 15.2; male = 58.5%) from 11 secondary schools in Macao (SAR), China. Multinomial logistic regression estimated correlates of latent class membership and PSU. A 4-class model adequately described the sample subgroups. Classes were labeled as normative gamers (30.9%), occasional gamers (42.4%), problematic gamers (22.7%), and addictive gamers (4.1%). Relative to normative gamers, PSU severity, depression, and being male were significantly higher among problematic gamers, addictive gamers, and occasional gamers. Only problematic gamers showed significant positive associations with anxiety severity compared to the other groups. The study revealed the differences in severity of gaming disorder and its association with psychopathology outcomes. Application in screening for IGD and comorbidity is discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03133-8.

Indexed as

AdolescentInternet gaming disorderLatent class analysisProblematic smartphone use

Identifiers

PMID35505828
PMCPMC9050178
OpenAlexW4229034714

What OpenQuestion holds

Textmetadata
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.