Evidence map›Paper›PMID 36231539›Full record

ArticleInternational journal of environmental research and public health2022

The Relationship between Cyber-Ostracism and Adolescents' Non-Suicidal Self-Injury: Mediating Roles of Depression and Experiential Avoidance.

Huimin Ding, Liyue Zhu, Hua Wei, Jingyu Geng, Feng Huang, Li Lei

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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.

Huimin DingSchool of Education, Renmin University of China, Beijing 100872, China.ORCID 0000-0002-1634-3994
Liyue ZhuZhengzhou Shuqing Medical College, Zhengzhou 450064, China.
Hua WeiNormal College, Qingdao University, Qingdao 266071, China.
Jingyu GengDepartment of Psychology, Renmin University of China, Beijing 450064, China.
Feng HuangInstitute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-2156-0915
Li LeiSchool of Education, Renmin University of China, Beijing 100872, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the experiential avoidance model, the current study aims to test the relationship between cyber-ostracism and adolescents' non-suicidal self-injury and to explore the mediating roles of depression and experiential avoidance. A sample of 1062 middle school students completed questionnaires on cyber-ostracism, depression, experiential avoidance, and self-injurious behavior. The results showed that cyber-ostracism, depression, experiential avoidance, and non-suicidal self-injury were positively correlated with each other. After controlling for gender and age, the mediation model test shows that cyber-ostracism was significantly and positively associated with non-suicidal self-injury. Depression and experiential avoidance mediated the relationship between cyber-ostracism and non-suicidal self-injury parallelly and sequentially. This study highlights the potential mechanisms of action between cyber-ostracism and adolescent non-suicidal self-injury and finds that cyber-ostracism is a risk factor for non-suicidal self-injury. This founding suggests that extra attention should be paid to the role of the online environment in addition to the offline environment experiences for the intervention of non-suicidal self-injury.

Indexed as

DepressionSelf-Injurious BehaviorAdolescentHumansOstracismRisk FactorsSurveys and Questionnairescyber-ostracismdepressionexperiential avoidancenon-suicidal self-injury

Identifiers

PMID36231539
PMCPMC9564981

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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.