Evidence map›Paper›PMID 29849754›Full record

ArticleChild and adolescent psychiatry and mental health2018

Internet addiction detection rate among college students in the People's Republic of China: a meta-analysis.

Yao-Jun Shao, Tong Zheng, Yan-Qiu Wang, Ling Liu, Yan Chen, Ying-Shui Yao

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 7 pooled it
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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

64 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 more citing papers are in PubMed but not listed here.

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.

Yao-Jun ShaoFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.
Tong ZhengFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.
Yan-Qiu WangFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.
Ling LiuFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.
Yan ChenFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.
Ying-Shui YaoFaculty of Epidemiology and Statistics, School of Public Health, Wannan Medical College, 22 Wenchang West Road, Yijiang District, Wuhu, 241002 Anhui People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the development of economy and technology, the Internet is becoming more and more popular. Internet addiction has gradually become a serious issue in public health worldwide. The number of Internet users in China has reached 731 million, with an estimated 24 million adolescents determined as having Internet addiction. In this meta-analysis, we attempted to estimate the prevalence of Internet addiction among College Students in the People's Republic of China in order to improve the mental health level of college students and provide evidence for the prevention of Internet addiction.

methodsEligible articles about the prevalence of Internet addiction among college students in China published between 2006 and 2017 were retrieved from online Chinese periodicals, the full-text databases of Wan Fang, VIP, and the Chinese National Knowledge Infrastructure, as well as PubMed. Stata 11.0 was used to perform the analyses.

resultsA total of 26 papers were included in the analyses. The overall sample size was 38,245, with 4573 diagnosed with Internet addiction. The pooled detection rate of Internet addiction was 11% (95% confidence interval [CI] 9-13%) among college students in China. The detection rate was higher in male students (16%) than female students (8%). The Internet addiction detection rate was 11% (95% CI 8-14%) in southern areas, 11% (95% CI 7-14%) in northern areas, 13% (95% CI 8-18%) in eastern areas and 9% (95% CI 8-11%) in the mid-western areas. According to different scales, the Internet addiction detection rate was 11% (95% CI 8-15%) using the Young scale and 9% (95% CI 6-11%) using the Chen scale respectively. Cumulative meta analysis showed that the detection rate had a slight upward trend and gradually stabilized in the last 3 years.

conclusionThe pooled Internet addiction detection rate of Chinese college students in out study was 11%, which is higher than in some other countries and strongly demonstrates a worrisome situation. Effective measures should be taken to prevent further Internet addiction and improve the current situation.

Indexed as

ChinaCollege studentsInternet addictionMeta-analysisPrevalence

Identifiers

PMID29849754
PMCPMC5970523

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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.