2019冠状病毒病大流行期间泰国青少年的网络欺凌行为:一项横断面在线调查

aowanee Thongnopakun, Mereerat Manwong, Karunpong Phattaramarut, Sawitree Visanuyothin, Yuvadee Rodjarkpai, Chaiyanan Muanphetch, N. Junnual, Worarat Magteppong
{"title":"2019冠状病毒病大流行期间泰国青少年的网络欺凌行为:一项横断面在线调查","authors":"aowanee Thongnopakun, Mereerat Manwong, Karunpong Phattaramarut, Sawitree Visanuyothin, Yuvadee Rodjarkpai, Chaiyanan Muanphetch, N. Junnual, Worarat Magteppong","doi":"10.55131/jphd/2023/210307","DOIUrl":null,"url":null,"abstract":"Cyberbullying prevalence was increasing among youth during the COVID-19 pandemic. This cross-sectional study aimed to explore the factors associated with cyberbullying behaviors among youth during the COVID-19 pandemic in Thailand. In total, 720 youths participated in this study, and an online questionnaire was used. The quantitative data were analyzed using descriptive statistics, and to determine the relationship of each factor with cyberbullying behaviors, univariate analysis was utilized (e.g., an independent t-test, Pearson’s correlation coefficient, and one-way ANOVA). If a factor had a p-value less than 0.20, this factor was introduced into the multiple linear regression analysis. This study defines cyberbullying as aggression from a perpetrator who intends to make victims suffer and feel ashamed, unpleasant, and hurt through the use of digital technologies via mobile phones and the internet. The significant factors associated with cybervictimization were analyzed via multiple linear regression analysis. It was found that being female, having a very good family relationship, using the internet in leisure time, having social support, and cyberbullying-aggression perpetration experience were significantly associated with cyberbullying. These factors could be used to predict cybervictimization in 34.8% of cases. The main influencing factor was cyberbullying-aggression perpetration experience (β = 0.500). Social support was a significant protective factor against cybervictimization. Future research should focus on preventing cybervictimization by enhancing youth digital literacy.","PeriodicalId":36393,"journal":{"name":"Journal of Public Health and Development","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cyberbullying behaviors among youth during COVID-19 pandemic in Thailand: a cross-sectional online survey\",\"authors\":\"aowanee Thongnopakun, Mereerat Manwong, Karunpong Phattaramarut, Sawitree Visanuyothin, Yuvadee Rodjarkpai, Chaiyanan Muanphetch, N. Junnual, Worarat Magteppong\",\"doi\":\"10.55131/jphd/2023/210307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyberbullying prevalence was increasing among youth during the COVID-19 pandemic. This cross-sectional study aimed to explore the factors associated with cyberbullying behaviors among youth during the COVID-19 pandemic in Thailand. In total, 720 youths participated in this study, and an online questionnaire was used. The quantitative data were analyzed using descriptive statistics, and to determine the relationship of each factor with cyberbullying behaviors, univariate analysis was utilized (e.g., an independent t-test, Pearson’s correlation coefficient, and one-way ANOVA). If a factor had a p-value less than 0.20, this factor was introduced into the multiple linear regression analysis. This study defines cyberbullying as aggression from a perpetrator who intends to make victims suffer and feel ashamed, unpleasant, and hurt through the use of digital technologies via mobile phones and the internet. The significant factors associated with cybervictimization were analyzed via multiple linear regression analysis. It was found that being female, having a very good family relationship, using the internet in leisure time, having social support, and cyberbullying-aggression perpetration experience were significantly associated with cyberbullying. These factors could be used to predict cybervictimization in 34.8% of cases. The main influencing factor was cyberbullying-aggression perpetration experience (β = 0.500). Social support was a significant protective factor against cybervictimization. Future research should focus on preventing cybervictimization by enhancing youth digital literacy.\",\"PeriodicalId\":36393,\"journal\":{\"name\":\"Journal of Public Health and Development\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Public Health and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55131/jphd/2023/210307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Public Health and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55131/jphd/2023/210307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

在2019冠状病毒病大流行期间,青少年中的网络欺凌患病率呈上升趋势。本横断面研究旨在探讨泰国2019冠状病毒病大流行期间青少年网络欺凌行为的相关因素。共有720名青少年参与了这项研究,并使用了在线问卷。定量数据采用描述性统计进行分析,并采用单因素分析(如独立t检验、Pearson相关系数、单因素方差分析)确定各因素与网络欺凌行为的关系。如果某一因素的p值小于0.20,则将该因素引入多元线性回归分析。这项研究将网络欺凌定义为犯罪者通过使用手机和互联网等数字技术使受害者遭受痛苦、感到羞耻、不愉快和伤害的侵略行为。通过多元线性回归分析网络受害的相关因素。研究发现,女性、家庭关系良好、闲暇时间使用互联网、拥有社会支持、网络欺凌-攻击行为经历与网络欺凌显著相关。在34.8%的案例中,这些因素可以用来预测网络受害者。主要影响因素为网络欺凌-攻击犯罪经历(β = 0.500)。社会支持是防止网络受害的重要保护因素。未来的研究应侧重于通过提高青少年的数字素养来预防网络受害者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Cyberbullying behaviors among youth during COVID-19 pandemic in Thailand: a cross-sectional online survey
Cyberbullying prevalence was increasing among youth during the COVID-19 pandemic. This cross-sectional study aimed to explore the factors associated with cyberbullying behaviors among youth during the COVID-19 pandemic in Thailand. In total, 720 youths participated in this study, and an online questionnaire was used. The quantitative data were analyzed using descriptive statistics, and to determine the relationship of each factor with cyberbullying behaviors, univariate analysis was utilized (e.g., an independent t-test, Pearson’s correlation coefficient, and one-way ANOVA). If a factor had a p-value less than 0.20, this factor was introduced into the multiple linear regression analysis. This study defines cyberbullying as aggression from a perpetrator who intends to make victims suffer and feel ashamed, unpleasant, and hurt through the use of digital technologies via mobile phones and the internet. The significant factors associated with cybervictimization were analyzed via multiple linear regression analysis. It was found that being female, having a very good family relationship, using the internet in leisure time, having social support, and cyberbullying-aggression perpetration experience were significantly associated with cyberbullying. These factors could be used to predict cybervictimization in 34.8% of cases. The main influencing factor was cyberbullying-aggression perpetration experience (β = 0.500). Social support was a significant protective factor against cybervictimization. Future research should focus on preventing cybervictimization by enhancing youth digital literacy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Public Health and Development
Journal of Public Health and Development Social Sciences-Health (social science)
CiteScore
0.50
自引率
0.00%
发文量
64
期刊最新文献
Factors affecting preventive behaviors for unplanned pregnancy in female high school students Counseling intervention on iron-folic acid adherence and clinical outcomes among pregnant women and women planning to be pregnant: a scoping review Antibiotics Use, Resistance and Self-medication Practices among Healthcare Workers in a Federal Teaching Hospital in Southwest, Nigeria Predictive factors for resilience quotient among village health volunteers in Northern Thailand post-COVID-19 Applying the concept of Thai nutrient profiling as a model for the Thai school lunch planner
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1