Evidence map›Paper›PMID 41040942›Full record

SynthesisFrontiers in psychiatry2025

The influence of different intervention measures on improving mobile phone addiction among teenagers or young adults: a systematic review and network meta-analysis.

Ying Li, Zhiyu Zhang, Jianhua Zhang, Qiuyan Zhang, Zhaojun Luo, Dan Tao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Ying LiCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Zhiyu ZhangFaculty of Health Sciences and Sports, Macao Polytechnic University, Macao, Macao SAR, China.
Jianhua ZhangSchool of Physical Education and Arts, Hunan University of Medicine, Huaihua, Hunan, China.
Qiuyan ZhangPhysical Education Department, Beijing Wuzi University, Beijing, China.
Zhaojun LuoFootball College, Wuhan Sports University, Wuhan, China.
Dan TaoCollege of Sports Science, Jishou University, Jishou, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study employed network meta-analysis to evaluate the impact of several exercise interventions on mobile phone addiction. The aim is to determine the most effective exercise intervention measures and provide a reference for future intervention measures to improve mobile phone addiction. Method: Systematically search for relevant literatures in domestic and foreign databases such as Web of Science, PubMed, Embase, Cochrane Library, China Knowledge, Wanfang, etc. We evaluated the risk of bias according to the revised Cochrane Randomized Trial Risk Tool and conducted traditional and web-based meta-analyses using Review Manager 5.3 and Stata 14.0. Result: Traditional Meta-results showed that all interventions were superior to the control group in improving mobile phone addiction (SMD= -1.38, 95%CI=-1.75, -1.01). Network meta-analysis shows that Badminton and Mindfulness-Based Therapy (MBT) have better improvement effects on mobile phone addiction among teenagers than other forms of exercise. Conclusion: All kinds of interventions have a significant impact on reducing mobile phone addiction. Badminton and MBT have more advantages in improving mobile phone addiction. However, due to the influence of the sample size and the quality of the included literature, it is recommended to further verify the results in the future.

Indexed as

metamobile phone addictionnetwork analysisteenagersyoung adult

Identifiers

PMID41040942
PMCPMC12484140

What OpenQuestion holds

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LicenceCC BY
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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.