Evidence map›Paper›PMID 42398925›Full record

Trial reportJournal of medical Internet research2026

Effectiveness of WeChat Public Account Intervention Based on the Information-Motivation-Behavioral Skills Model Among College Students With Internet Addiction: Randomized Controlled Trial.

Huayu Yang, Anyi Geng, Wenhua Ruan, Yuhan Yang, Fangzheng Xu, Haiyan Shi, Wenzhuo Xu, Kele Jiang, Hao Guo, Sainan Wang and 3 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06704984 (The Effectiveness of WeChat Public Account Intervention Based on the IMB Model Among College Students With Internet Addiction), which is not on this map. Not yet cited in PubMed.

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

NCT06704984 nacompletednot on this map

The Effectiveness of WeChat Public Account Intervention Based on the IMB Model Among College Students With Internet Addiction: A Randomized Controlled Trial

TypeinterventionalSponsorShihaiyan ShiRan2023 to 2023Enrolled226ConditionsInternet AddictionArmsIntervention Name: WeChat Intervention Based on the IMB Model
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Huayu Yang *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0009-8673-9650
Anyi Geng *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0000-5057-7113
Wenhua Ruan *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0009-5324-5435
Yuhan Yang *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0005-1811-7607
Fangzheng Xu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0008-1457-2284
Haiyan Shi *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0008-6559-3691
Wenzhuo XuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0009-8879-6368
Kele JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0003-4766-8147
Hao GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0005-3221-8455
Sainan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0005-9351-0580
Zheng HuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0000-8925-9964
Mengting ManDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0009-0003-8250-6039
Zhihua ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0003-1385-5828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet addiction (IA) among college students causes multiple harms and increases suicide risk. Effective interventions can reduce these and have public health value.

objectiveThis study evaluates a WeChat public-account intervention based on the information, motivation, behavioral skills (IMB) model to reduce IA in college students and to examine mechanisms driving behavior change.

methodsA total of 226 college students aged 18 to 24 years with IA were recruited from a university in Anhui Province, China, and randomized (stratified by gender) to intervention (n=113) or control (n=113) groups. The intervention comprised a 6-week structured online program delivered via a WeChat public account, organized into 3 modules: information, motivation, and behavioral skills. Controls received no intervention. Preintervention data were subjected to statistical comparison using an independent sample t test, Mann-Whitney U test, and chi-square test. Primary and secondary indicators were measured using the Internet Addiction Test (IAT), Chinese Treatment Self-Regulation Questionnaire, and Internet Control Self-Efficacy Questionnaire. To evaluate the intervention's effects and identify pre- to postintervention changes, we used generalized linear mixed models and generalized estimating equations for analysis with SPSS software (version 23.0), considering statistical significance at α=.05. Participants were further stratified into mild and moderate to severe IA subgroups based on their baseline scores, and subgroup analyses were conducted to examine both the intervention effects within each stratum and the between-group differences across different addiction severity levels.

resultsThe intervention group showed a significant reduction in IA (χ

conclusionsThe WeChat public-account intervention based on the IMB model significantly reduced the level of IA in college students and simultaneously had a positive effect on increasing sleep duration. The decline in IAT scores observed in the moderate to severe subgroup was twice as large as that in the mild subgroup.

trial registrationClinicalTrials.gov NCT06704984; https://clinicaltrials.gov/study/NCT06704984.

Indexed as

Behavior, AddictiveInformation Motivation Behavioral Skills ModelInternetInternet Addiction DisorderMotivationStudentsAdolescentChinaFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultIMB modelinformation, motivation, behavioral skills modelinternet addictioninterventionrandomized controlled trialWeChat public account

Identifiers

PMID42398925
PMCPMC13379699

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Registered trials

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.