Evidence map›Paper›PMID 35356718›Full record

SynthesisFrontiers in psychiatry2022

The Correlation Between Internet Addiction and Interpersonal Relationship Among Teenagers and College Students Based on Pearson's Correlation Coefficient: A Systematic Review and Meta-Analysis.

Qing-Hong Hao, Wei Peng, Jun Wang, Yang Tu, Hui Li, Tian-Min Zhu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

Qing-Hong HaoSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Wei PengSchool of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jun WangSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yang TuSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hui LiSchool of Preclinical Medicine, Chengdu University, Chengdu, China.
Tian-Min ZhuSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet addiction (IA) has become a serious social issue, inducing troubles in interpersonal relationships, which may negatively impact the healthy development of teenagers and college students. Thus, the current research aimed to synthesize the available evidence to clarify the correlation between IA and troubles in interpersonal relationships. Method: We searched eight electronic databases from inception to December 2020. Study quality was assessed by the Newcastle-Ottawa Scale (NOS), and Agency for Healthcare Research and Quality (AHRQ). We analyzed the data by extracting the Pearson correlation coefficients of each study and converted it into Fisher's Z. Pooled Results: A total of 10,173 studies were initially identified, and 26 studies ( Conclusion: IA is positively correlated with troubles in interpersonal relationships. This research will provide new ideas and direction for further intervention, clinical therapy, and policy-making regarding IA to some extent. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier: CRD42020177294.

Indexed as

correlationinternet addictioninterpersonal relationshipmeta-analysisPearson's correlation coefficient

Identifiers

PMID35356718
PMCPMC8960053

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.