Evidence map›Paper›PMID 40166969›Full record

ArticleInternational journal of methods in psychiatric research2025

Evaluating Problematic Smartphone Use Among Chinese Primary School Students Using SABAS: An IRT and Network Analysis.

Siyang Liu, Qian Chen, Jiayang Li, Yimeng Zhu, Xiaorong Guo, Xin Zhao

Abstract read
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Article in International journal of methods in psychiatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Siyang LiuKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.ORCID 0000-0002-2603-065X
Qian ChenKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
Jiayang LiKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
Yimeng ZhuKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
Xiaorong GuoKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.ORCID 0000-0002-9902-7881
Xin ZhaoManchester Institute of Education, The University of Manchester, Manchester, UK.ORCID 0000-0002-8968-6912

Funding

Collaborative Innovation Center of Assessment for Basic Education Quality BJZK-2023A3-20021
6 · The paper itself

Abstract

objectivesThis study assessed the psychometric properties of the Smartphone Application-Based Addiction Scale (SABAS) among Chinese primary school students, focusing on validity, reliability, and factor structure using Item Response Theory (IRT) and Network Analysis (NA).

methodsData were collected from 1108 primary school students in China (52.98% female; ages 7-14 years; M = 10.58, SD = 0.99). SABAS was assessed using Item Response Theory (IRT) for factor structure, item parameters, cut-off scores, and reliability, while Differential Item Functioning (DIF) detected gender biases. Network Analysis (NA) examined the interrelationships among SABAS items.

resultsConfirmatory factor analysis supported SABAS's unidimensional structure (RMSEA = 0.055, CFI = 0.984, TLI = 0.973, SRMR = 0.025). IRT indicated high item discrimination (α = 1.47-2.47) and identified a cut-off score of 27, classifying 1.7% of students as high-risk for problematic smartphone use. Gender DIF was noted in item 6, with boys showing higher relapse tendencies (p < 0.05). NA highlighted the centrality of tolerance and withdrawal items.

conclusionsSABAS is a reliable tool for assessing problematic smartphone use in Chinese primary school students, particularly those at moderate to high risk.

Indexed as

Internet Addiction DisorderPsychiatric Status Rating ScalesPsychometricsSmartphoneStudentsAdolescentChildChinaEast Asian PeopleFactor Analysis, StatisticalFemaleHumansMaleReproducibility of ResultsSchoolsadolescent smartphone useitem response theorynetwork analysisproblematic smartphone usepsychometric

Identifiers

PMID40166969
PMCPMC11959412

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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.