Evidence map›Paper›PMID 41457939›Full record

ArticlePsychological medicine2025

Characterizing heterogeneity in emotional and behavioral problems: Latent class analysis with 507,188 children and adolescents and associations with mobile gaming addiction behavior.

Zhengge Jin, Xiuzhi Yang, Lixin Hu, Liqing Yao, Wenxin Ge, Jiaqi Chen, Zhuowen Wu, Sichun Lin, Yinhuan Guo, Yajun Chen

Abstract read
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zhengge JinDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Xiuzhi YangDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Lixin HuDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Liqing YaoDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Wenxin GeDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Jiaqi ChenDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Zhuowen WuDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Sichun LinDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Yinhuan GuoDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.
Yajun ChenDepartment of Maternal and Child Health, School of Public Health, https://ror.org/0064kty71Sun Yat-sen University, Guangzhou510080, China.

Funding

National Natural Science Foundation of China No. 81673193 and No. 82273650Science and Technology Planning Project of Guangdong Province No. 2014A020220002 and No. 2016A020225002
6 · The paper itself

Abstract

backgroundWhile mobile gaming addiction (MGA) behavior is increasingly prevalent among children and adolescents, the role of specific emotional-behavioral profiles - particularly their latent patterns - in associating with MGA behavior remains poorly understood. This study aimed to examine these associations and age-related variations.

methodsData were analyzed from 507,188 participants aged 6-18 years in the Children's Growth Environment, Lifestyle, and Physical and Mental Health Development Project, conducted in Guangzhou, China, in 2020. Latent class analysis was performed on parent-reported Strengths and Difficulties Questionnaire (SDQ) data to identify subgroups with distinct emotional and behavioral problems. Associations between SDQ dimensions, latent classes, and MGA behavior were examined using logistic regression analysis.

resultsFive latent classes were identified: 'Low symptom' (82.2%), 'Internalizing' (0.8%), 'Peer and prosocial issues' (4.3%), 'High difficulties' (5.0%), and 'Hyperactive' (7.6%). Compared to the 'Low symptom' class, all other latent classes showed significantly higher risks for MGA, with the strongest association observed in the 'Internalizing' class (adjusted odds ratio [AOR]: 2.84; 95% confidence interval [95% CI]: 2.67-3.02). Among SDQ subscales, conduct problems presented the highest association (AOR: 2.08; 95% CI: 2.04-2.12), though all SDQ subdimensions were significantly positively correlated with MGA behavior (all

conclusionsThis study identifies specific SDQ-based risk characteristics for MGA behavior, with adolescents (aged 13-18 years) being the most vulnerable. Future longitudinal studies should verify these associations, and clinicians may prioritize early screening for internalizing and conduct-related difficulties.

Indexed as

Adolescent BehaviorBehavior, AddictiveInternet Addiction DisorderProblem BehaviorVideo GamesAdolescentChildChinaFemaleHumansLatent Class AnalysisMaleSurveys and Questionnairesemotional and behavioral problemsinternet gaming disorderlatent class analysismobile gaming addictionSDQ

Identifiers

PMID41457939
PMCPMC13058644

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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.