Evidence map›Paper›PMID 40405153›Full record

ArticleBMC psychiatry2025

Gender differences in problematic gaming among Chinese adolescents and young adults.

Zhenjiang Liao, Juan Le, Xinxin Chen, Ying Tang, Hongxian Shen, Qiuping Huang

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. 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.

  1. Article
  2. Epidemiology of adolescent gaming disorder: A 6-year population-based longitudinal study (2019-2024).European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Article
  3. Validation of the Game Addiction Scale in Adolescents (GASA short version): adaptation for Mexican children.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
    Article
  4. Review
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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

6 authors.

Zhenjiang Liao *Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Juan Le *Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xinxin ChenDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Ying TangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Hongxian ShenDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China. Shenhx2018@csu.edu.cn.
Qiuping HuangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China. 004834@hnucm.edu.cn.

Funding

Hunan Provincial Social Science Achievement Evaluation Committee XSP24YBZ185Natural Science Foundation of Hunan Province 2023JJ40476
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the prevalence of problematic gaming among Chinese adolescents and young adults (CAYAs) and identify potential gender-specific risk variables.

methods6,014 CAYAs were selected for this cross-sectional study using online convenience sampling. To evaluate their sociodemographic qualities, gaming practices, problematic gaming (as measured by the Video Game Dependency Scale), gaming motivations, and personality traits (as measured by the Chinese Big Five Personality Inventory abbreviated version), participants filled out a self-report questionnaire. To identify the common and distinct variables associated with problematic gaming, stepwise logistic regression analyses were conducted independently for males and females.

resultsThe study comprised 5,593 CAYAs in all (3326 males and 2267 females). Males were more likely than females to have problematic gaming (21.5% vs. 14.1%, p < 0.001). Problematic gaming among male and female CAYAs was substantially correlated with gaming patterns (monthly spending, daily time), gaming motivations (escaping reality, sensation seeking), and personality traits (conscientiousness, neuroticism). Additionally, among male CAYAs, problematic gaming was linked to the family structure of being an only child (OR: 0.715, 95%CI: 0.588-0.869, p = 0.001), lower than undergraduate (OR: 0.735, 95%CI: 0.603-0.896, P = 0.002), and the gaming motivation for coping with negative emotion ((N vs. Y, OR: 0.794, 95%CI: 0.653-0.965, p = 0.021). Problematic gaming was independently linked to the BRS gaming genre among female CAYAs (OR: 4.989, 95%CI: 2.728-9.125, p < 0.001). Female CAYAs with problematic gaming exhibit distinct characteristics.

conclusionsCompared to female CAYAs, problematic gaming is much more common among male CAYAs. Cross-gender risks in gaming include extended playtime, excessive spending, high neuroticism, and low conscientiousness. Highly educated singles are at higher risk of problematic gaming. Playing BRS games was a specific risk factor for females. This study revealed significant gender disparities in the prevalence and risk factors of problematic gaming among CAYAs, underscoring the significance of gender-specific screening and interventions for CAYAs to prevent problematic gaming and its negative effects. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Behavior, AddictiveInternet Addiction DisorderVideo GamesAdolescentAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMotivationPersonalityPrevalenceRisk FactorsSex FactorsGame genreGaming motivationGaming patternGender differencePersonality traitsProblematic gaming

Identifiers

PMID40405153
PMCPMC12096608

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.