Evidence map›Paper›PMID 34574391›Full record

ArticleInternational journal of environmental research and public health2021

Offline Victimization, Psychological Morbidity, and Problematic Online Behavior among Chinese Secondary School Students.

Xiang Li, Daniel T L Shek, Esther Y W Shek

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Review
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

3 authors at 1 institution in 1 country.

Xiang LiDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong.
Daniel T L ShekDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong.ORCID 0000-0003-3359-6229
Esther Y W ShekDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong.
Hong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the rise of child victimization in different societies, few researchers have examined its consequences in terms of psychological morbidity (such as depression and anxiety) and problematic online behavior (such as Internet addiction and cyberbullying) in a single study. Moreover, no study has investigated the role of psychological morbidity in mediating the impact of victimization on problematic online behavior (indexed by Internet addiction and cyberbullying) in a single model. Based on a survey of 2843 Chinese secondary students (49.3% male; Mage = 13.97) from six public secondary schools in Fujian, China, we found that experience of victimization was positively associated with depression and anxiety, as well as Internet addiction and cyberbullying. Depression mediated the links between victimization and both Internet addiction and cyberbullying, with the mediating effect on Internet addiction found to be stronger for girls. While anxiety did not mediate the association between victimization and cyberbullying, it mediated the relationship between victimization and Internet addiction in boys. These findings enrich our understanding of the negative outcomes of victimization, as well as directions for intervention.

Indexed as

BullyingCrime VictimsChildChinaFemaleHumansInternetMaleMorbiditySchoolsStudentsanxietycyberbullyingdepressionInternet addictionvictimization

Identifiers

PMID34574391
PMCPMC8466188
OpenAlexW3197653472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.