Evidence map›Paper›PMID 33198703›Full record

ArticleBMC public health2020

The impact of internet use frequency on non-suicidal self injurious behavior and suicidal ideation among Chinese adolescents: an empirical study based on gender perspective.

Xueyan Yang, Moye Xin, Kun Liu, Bilun Naz Böke

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In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

4 authors.

Xueyan YangInstitute for Population and Development Studies, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China.
Moye XinInstitute for Population and Development Studies, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China. xjxj4133@163.com.
Kun LiuInstitute for Population and Development Studies, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, China.
Bilun Naz BökeHuman Development, McGill University, 3700 McTavish Street, Montreal, QC, H3A1Y2, Canada.

Funding

Fundamental Research Funds for Central Universities of the Central South University (CN) SK2013025The Chinese Ministry of Education of Humanities and Social Science project 13YJAZH118
6 · The paper itself

Abstract

backgroundWe attempted to find if there were gender differences in Non-suicidal self injurious (NSSI) behaviors and Suicidal ideation among Chinese adolescents, then analyze the impact of Internet use frequency on these variables among adolescents of different genders.

methodsBased on the data from 6 high-schools and 4 universities in 4 cities in China, the gender difference in NSSI behaviors and Suicidal ideation and their related factors were analyzed in the study.

resultsGender differences were found during different purposes of Internet use; There was no significant gender difference in NSSI behaviors among Chinese adolescents, yet females reported significantly higher intensity of suicidal ideation compared to males; Internet use frequency could explain the prevalence of NSSI behaviors and Suicidal ideation by gender, to some categories.

conclusionsThere were gender differences in Internet use frequency among adolescents; Gender difference of NSSI engagement among Chinese adolescents was not statistically significant; Females had higher suicidal ideation than males; the overuse of social softwares was found to be a risk factor to both NSSI engagements and suicidal ideations for both genders; males would engage less NSSI behaviors when they spent more time on knowledge sharing softwares while might have more suicidal ideation when they spent too much time on gaming.

Indexed as

Suicidal IdeationAdolescentChildChinaCitiesEmpirical ResearchFemaleHumansInternet UseMalePrevalenceRisk FactorsSchoolsSelf-Injurious BehaviorSex DistributionStudentsAdolescentsGender differenceInternet use frequencyNSSISuicidal ideation

Identifiers

PMID33198703
PMCPMC7670714

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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.