Evidence map›Paper›PMID 39789537›Full record

ArticleBMC public health2025

The effects of mobile phone addiction on learning engagement of Chinese college students - the mediating role of physical activity and academic self-efficacy.

Shuqiao Meng, Kai Qi, Panyi Shen, Meng Zhang, Yu Zhang, Nzubechi Onyebuchi, Ge Zhan, Fanqi Wei, Wenxia Tong, Yahui Han and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Shuqiao Meng *Department of Physical Education, Xidian University, Xi'an, 710126, China.
Kai Qi *Gdansk University of Physical Education and Sport, Gdansk, 80-336, Poland.
Panyi ShenDepartment of Physical Education, Xidian University, Xi'an, 710126, China.
Meng ZhangPhysical Education College, Yangzhou University, Yangzhou, China.
Yu ZhangSchool of Physical Education, Henan University, Kaifeng, China.
Nzubechi OnyebuchiSchool of Physical Education, Henan University, Kaifeng, China.
Ge ZhanDepartment of Physical Education, Xidian University, Xi'an, 710126, China.
Fanqi WeiHenan Institude of Foreign Economic and Trade Vocational College, Kaifeng, China.
Wenxia TongDepartment of Physical Education, Xidian University, Xi'an, 710126, China. twxedu@163.com.
Yahui HanInstitute of Sports Science, Kyonggi University, Suwon, 449701, Republic of Korea. binya111122@163.com.
Xiaoyu GeSports Department of Northwestern Polytechnical University, Xi'an, 710021, China. gexiaoyu@nwpu.edu.cn.

Funding

he Ministry of Education in China (MOE) Project of Humanities and Social Sciences 24YJC890051National Social Science Fund Project 23XTY008the Ministry of Education in China (MOE) Project of Humanities and Social Sciences 22YJC890018the Social Science Foundation project of Shaanxi Province 2024Q001the Social Science Foundation project of Shaanxi Province 2024Q014Xi 'an Social Science Planning Foundation 24TY122Xi'an Social Science Planning Foundation 24TY118
6 · The paper itself

Abstract

backgroundWith the widespread adoption of smartphones, mobile phone addiction has increasingly gained prominence among Chinese college students, exerting a profound and detrimental impact on their learning engagement. This study employs self-determination theory as a framework to examine the mechanisms through which mobile phone addiction affects students' learning engagement. Specifically, it examines the mediating effects of physical activity and academic self-efficacy in this relationship.

methodsThis study was conducted from March to June 2024, using the Mobile Phone Addiction Scale, Learning Engagement Scale, Physical Activity Scale, and Academic Self-Efficacy Scale among college students from eight universities in Shaanxi Province. The survey was conducted using the Chinese online questionnaire platform "Questionnaire Star,"and 4,562 valid questionnaires were finally obtained. SPSS 29.0 and AMOS 29.0 were used for data analysis and structural equation model testing.

resultsThe results revealed significant negative correlations between mobile phone addiction and learning engagement (r = -0.434, p < 0.01), physical activity (r = -0.732, p < 0.01), and academic self-efficacy (r = -0.338, p < 0.01). Conversely, there were significant positive correlations between learning engagement and physical activity (r = 0.335, p < 0.01), and academic self-efficacy (r = 0.717, p < 0.01). The study's hypothesized model demonstrated a good overall fit, with indices including χ²/df = 4.213, RMSEA = 0.040, and GFI, AGFI, NFI, and CFI all exceeding 0.90. Mobile phone addiction was found to directly impact learning engagement (point estimate = -0.150, p < 0.001) and indirectly through three mediated pathways: physical activity (point estimate = -0.068, p < 0.001), academic self-efficacy (point estimate = -0.298, p < 0.001), and their chained effect (point estimate = -0.377, p < 0.001).

conclusionsThis research has expanded the theoretical framework and intervention approaches regarding the inter-relationship between mobile phone addiction and learning engagement. Increasing individuals' physical activity levels and fostering their academic self-efficacy offers a means to alleviate the detrimental impact of mobile phone addiction on the learning engagement of college students.

Indexed as

Behavior, AddictiveExerciseSelf EfficacyStudentsAdolescentAdultCell PhoneChinaFemaleHumansLearningMaleSurveys and QuestionnairesUniversitiesYoung AdultAcademic self-efficacyLearning engagementMobile phone addictionPhysical activity

Identifiers

PMID39789537
PMCPMC11720923

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.