Evidence map›Paper›PMID 27525163›Full record

ArticleHealthcare informatics research2016

Effects of Psychosocial Interventions for School-aged Children's Internet Addiction, Self-control and Self-esteem: Meta-Analysis.

Young Ran Yeun, Suk Jung Han

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare informatics research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 8 pooled it
17.7field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 8 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  16. Internet Gaming Disorders and Early Onset Psychosis in Young People: A Case Study and Clinical Observations.International journal of environmental research and public health · 2023
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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

2 authors at 2 institutions in 1 country.

Young Ran YeunDepartment of Nursing, Kangwon National University, Samcheok, Korea.
Suk Jung HanDepartment of Nursing, Sahmyook University, Seoul, Korea.
Kangwon National University · KRSahmyook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was conducted to perform an effect size analysis of psychosocial interventions for internet addiction and to identify the intervention moderators applied to school-aged children.

methodsFor the meta-analysis, studies were included that were published in English or Korean until January 2015, without limitation in terms of the year. They were retrieved from 11 electronic databases and by manual searches according to predefined inclusion criteria.

resultsA total of 37 studies were selected, which included 11 treatment conditions and covered a total of 1,490 participants. The effect size estimates showed that psychosocial interventions had a large effect for reducing internet addiction (standardized mean difference [SMD], -1.19; 95% confidence interval [CI], -1.52 to -0.87) and improving self-control (SMD, 0.29; 95% CI, 0.11 to 0.47) and self-esteem (mean difference, 3.58; 95% CI, 2.03 to 5.12). The moderator analyses reveals that group treatments, a selective approach, a long duration, a community setting, or higher school grade had a larger effect.

conclusionsThe findings of this review suggest that psychosocial intervention may be used to prevent Internet addiction in school-aged children, although further research should be conducted using a randomized controlled trial design or diverse age groups to provide evidence-based recommendations.

Indexed as

Addictive BehaviorChildInternetMeta-AnalysisSchools

Identifiers

PMID27525163
PMCPMC4981582
OpenAlexW2515742897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.