Evidence map›Paper›PMID 39457159›Full record

ArticleChildren (Basel, Switzerland)2024

Analysis of Prevalence and Related Factors of Cyberbullying-Victimization among Adolescents.

Jun Ma, Liyan Su, Minhui Li, Jiating Sheng, Fangdu Liu, Xujun Zhang, Yaming Yang, Yue Xiao

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

8 authors.

Jun MaDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.ORCID 0000-0002-0421-8344
Liyan SuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Minhui LiDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Jiating ShengDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Fangdu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Xujun ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Yaming YangYixing Center for Disease Control and Prevention, Yixing 214200, China.
Yue XiaoYixing Center for Disease Control and Prevention, Yixing 214200, China.

Funding

Research and Practice Innovation Program for graduate students in Jiangsu Province SJCX21_0085Research and Practice Innovation Program for graduate students in Jiangsu Province SJCX22_0074
6 · The paper itself

Abstract

BACKGROUND/

objectivesCyberbullying is an increasingly serious issue that negatively impacts the mental and physical health of adolescents. This study aims to report the prevalence rates of adolescent cyberbullying-victimization and its associated related factors, providing a scientific basis for targeted efforts to protect the mental and physical well-being of adolescents; Methods: From March to May 2019, there were 13 high schools and 33 middle schools in Yixing, with a student ratio of 2:1 between middle and high school. Using a random cluster sampling method, we selected four high schools and three middle schools based on this ratio, resulting in a total of 13,258 students. We conducted a survey using a self-designed questionnaire to investigate the experiences of adolescents with cyberbullying and victimization, comparing the differences in cyberbullying-victimization based on various demographic characteristics. Additionally, we employed a multifactorial logistic regression model to analyze the associated factors; Results: The rate of adolescents who declared themselves as cyberbully-victims is 2.9%. The results of the logistic regression analysis indicate that being male, having both parents working outside the home, experiencing occasional or large conflicts among family members, being subjected to punishment-and-abuse child discipline, always or often using social software (websites), enjoying playing single or multiplayer games, self-smoking, and self-drinking were associated with a higher likelihood of being a cyberbully-victim (

Indexed as

adolescentscyberbullying–victimizationregression analysis

Identifiers

PMID39457159
PMCPMC11506605

What OpenQuestion holds

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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.