Evidence map›Paper›PMID 40038829›Full record

ArticleBMC psychology2025

The relationship between specific problematic internet use and hope: academic exhaustion as mediator and mattering as moderator among Chinese university students.

Xiu-Mei Chen, Yu-Fu Ning, Gordon L Flett, Xiao-Ling Liao, Jeffrey Hugh Gamble, Lingling Li, Xing-Yong Jiang, I-Hua Chen, Mark Griffiths, Pei-Jin Lin and 1 more

Erratum issuedAbstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Workplace Mental Health and Social Media Addictive Behaviours: The Application of Mattering Theory.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Xiu-Mei ChenSchool of Information Engineering, Shandong Youth University of Political Science, Jinan, China.
Yu-Fu NingSchool of Information Engineering, Shandong Youth University of Political Science, Jinan, China.
Gordon L FlettLaMarsh Centre for Child & Youth Research, Department of Psychology, York University, Toronto, Canada.
Xiao-Ling LiaoFaculty of Education, Jiangxi Science and Technology Normal University, Nanchang, China.
Jeffrey Hugh GambleDepartment of English, National Changhua University of Education, Changhua, Taiwan.
Lingling LiXinjian No.1 Senior High School, Nanchang, China.
Xing-Yong JiangYangan Primary School of Qionglai City, Qionglai, China.
I-Hua ChenChinese Academy of Education Big Data, Qufu Normal University, Qufu, 273165, China. aholechen@gmail.com.
Mark GriffithsInternational Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.
Pei-Jin LinSchool of Education and Psychology, Minnan Normal University, Zhangzhou, China.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan. cylin36933@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Problematic social media use (PSMU) and problematic gaming (PG) among university students as specific types of problematic internet use (PIU) have become a growing concern. PSMU and PG may lead to negative outcomes such as academic exhaustion and diminished hope. However, previous studies have not simultaneously considered the associations among these variables from the perspective of Stressor-Strain-Outcome model. Furthermore, the concept of 'mattering'-the feeling of being valued and important to others and 'fear of not mattering' in this dynamic is notably under-investigated. The present study aimed to examine the associations among these variables and evaluated whether mattering profiles moderated the associations involving PIU among university students.A survey was conducted among 3,035 university students in China, with an average age of 19.24 years (SD = 1.83). The sample included 52% males and 48% females from 19 different universities. The Bergen Social Media Addiction Scale, the Internet Gaming Disorder Scale-Short Form, the General Mattering Scale, the Fear of Not Mattering Inventory, the Maslach Burnout Inventory-Student Survey, and the Dispositional Hope Scale were utilized to evaluate PSMU, PG, general mattering, fear of not mattering, academic exhaustion, and hope, respectively. Furthermore, latent profile analysis was used to categorize students into distinct mattering profiles based on measures of general mattering and fear of not mattering to others.Correlational analyses indicated that PSMU and PG were associated with greater academic exhaustion, reduced hope, and higher levels of fear of not mattering. Mediation analysis identified academic exhaustion as a mediator in the relationships between PSMU and hope, as well as between PG and hope. Profile analyses identified a group of students distinguished by exceptionally low levels of general mattering. Mattering profiles acted as moderators of the associations between PG and academic exhaustion, and between academic exhaustion and hope.PG negatively affected students' hope through academic exhaustion, while different mattering profiles had diverse associations. Customized intervention strategies focused on boosting hope and feelings of mattering, and reducing fears of not mattering are needed to reduce vulnerability to PG and PSMU.

Indexed as

Behavior, AddictiveHopeInternet Addiction DisorderStudentsAdolescentAdultChinaFemaleHumansMaleSocial MediaSurveys and QuestionnairesUniversitiesYoung AdultAcademic exhaustionFear of not matteringHopeLatent profile analysisMatteringProblematic gamingProblematic social media use

Identifiers

PMID40038829
PMCPMC11877927

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.