Assessing risk factors and impact of cyberbullying victimization among university students in Myanmar: A cross-sectional study

Cyberbullying is a global public health concern with tremendous negative impacts, not only on the physical and mental health of students but also on their well-being and academic performance. However, there are very few studies on cyberbullying among university students, especially in Myanmar. This...

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Veröffentlicht in:PloS one 2020-01, Vol.15 (1), p.e0227051-e0227051
Hauptverfasser: Khine, Aye Thazin, Saw, Yu Mon, Htut, Zaw Ye, Khaing, Cho Thet, Soe, Htin Zaw, Swe, Kyu Kyu, Thike, Thinzar, Htet, Hein, Saw, Thu Nandar, Cho, Su Myat, Kariya, Tetsuyoshi, Yamamoto, Eiko, Hamajima, Nobuyuki
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container_title PloS one
container_volume 15
creator Khine, Aye Thazin
Saw, Yu Mon
Htut, Zaw Ye
Khaing, Cho Thet
Soe, Htin Zaw
Swe, Kyu Kyu
Thike, Thinzar
Htet, Hein
Saw, Thu Nandar
Cho, Su Myat
Kariya, Tetsuyoshi
Yamamoto, Eiko
Hamajima, Nobuyuki
description Cyberbullying is a global public health concern with tremendous negative impacts, not only on the physical and mental health of students but also on their well-being and academic performance. However, there are very few studies on cyberbullying among university students, especially in Myanmar. This study aims to determine the percentage of university students who suffered cyberbullying victimization in the last 12 months, and the association between students' socio-demographic characteristics, adverse events following cyberbullying and cyberbullying victimization. A cross-sectional study was conducted among university students aged 18 years and older at one medical university in Magway, Myanmar. A total of 412 students (277 males and 135 females) participated in the study. Data were collected from August to September, 2018 using a self-administered questionnaire. Multiple logistic regression analyses (models I and II) were performed to estimate the unadjusted (UOR) and adjusted odds ratios (AOR), and 95% confidence intervals (CI). In total, 40.8% of males and 51.1% of females in the study had suffered cyberbullying victimization in the past 12 months. In model I, students who had been studying at the university for 3 years or less (AOR = 1.81; 95% CI 1.14-2.85), and who had witnessed psychological, physical or sexual violence, or cyberbullying in their neighborhoods, (AOR = 2.95; 95% CI 1.48-5.91) were more likely to have suffered cyberbullying victimization in the past 12 months. In model II, being a victim of cyberbullying was associated with difficulties in concentrating and understanding lectures (AOR = 3.96; 95% CI 1.72-9.11), and substance abuse (AOR = 2.37; 95% CI 1.02-5.49). Non-resident students were at a higher risk of being cyberbullying victims than their resident peers (AOR = 1.86; 95% CI 1.04-3.34). Two out of five students had suffered cyberbullying victimization in the past 12 months, and only half of the victims discussed their experience(s) with someone else. Students who suffered cyberbullying victimization faced academic difficulties and started or increased smoking, betel chewing or alcohol drinking. Counter measures to prevent and mitigate the adverse events related to cyberbullying victimization are urgently needed among university students in Myanmar. Periodic screening for cyberbullying, counseling services, cyber-safety educational programs, and awareness raising campaigns should be implemented.
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However, there are very few studies on cyberbullying among university students, especially in Myanmar. This study aims to determine the percentage of university students who suffered cyberbullying victimization in the last 12 months, and the association between students' socio-demographic characteristics, adverse events following cyberbullying and cyberbullying victimization. A cross-sectional study was conducted among university students aged 18 years and older at one medical university in Magway, Myanmar. A total of 412 students (277 males and 135 females) participated in the study. Data were collected from August to September, 2018 using a self-administered questionnaire. Multiple logistic regression analyses (models I and II) were performed to estimate the unadjusted (UOR) and adjusted odds ratios (AOR), and 95% confidence intervals (CI). In total, 40.8% of males and 51.1% of females in the study had suffered cyberbullying victimization in the past 12 months. In model I, students who had been studying at the university for 3 years or less (AOR = 1.81; 95% CI 1.14-2.85), and who had witnessed psychological, physical or sexual violence, or cyberbullying in their neighborhoods, (AOR = 2.95; 95% CI 1.48-5.91) were more likely to have suffered cyberbullying victimization in the past 12 months. In model II, being a victim of cyberbullying was associated with difficulties in concentrating and understanding lectures (AOR = 3.96; 95% CI 1.72-9.11), and substance abuse (AOR = 2.37; 95% CI 1.02-5.49). Non-resident students were at a higher risk of being cyberbullying victims than their resident peers (AOR = 1.86; 95% CI 1.04-3.34). Two out of five students had suffered cyberbullying victimization in the past 12 months, and only half of the victims discussed their experience(s) with someone else. Students who suffered cyberbullying victimization faced academic difficulties and started or increased smoking, betel chewing or alcohol drinking. Counter measures to prevent and mitigate the adverse events related to cyberbullying victimization are urgently needed among university students in Myanmar. Periodic screening for cyberbullying, counseling services, cyber-safety educational programs, and awareness raising campaigns should be implemented.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0227051</identifier><identifier>PMID: 31967998</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Academic achievement ; Academic Performance ; Adolescent ; Adult ; Aggression ; Bullying ; Chewing ; College students ; Colleges &amp; universities ; Computer and Information Sciences ; Confidence intervals ; Consent ; Crime Victims - psychology ; Cross-Sectional Studies ; Cyberbullying ; Demographics ; Drinking (Alcoholic beverages) ; Drinking behavior ; Drug abuse ; Education ; Engineering and Technology ; Female ; Females ; Hospital administration ; Humans ; Information technology ; Internet ; Male ; Males ; Medical research ; Medicine ; Medicine and Health Sciences ; Mental Health ; Mental health services ; Myanmar ; Online safety ; People and Places ; Public health ; Public health movements ; Regression analysis ; Research and Analysis Methods ; Risk analysis ; Risk assessment ; Risk Factors ; Secondary school students ; Sexual assault ; Smartphones ; Social networks ; Social Sciences ; Sociodemographics ; Statistical analysis ; Stress, Psychological - etiology ; Students ; Studies ; Substance abuse ; Substance-Related Disorders - etiology ; Suicidal behavior ; Surveys and Questionnaires ; Universities ; University graduates ; University students ; Victimization ; Violence ; Well being ; Young Adult</subject><ispartof>PloS one, 2020-01, Vol.15 (1), p.e0227051-e0227051</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Khine et al. 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However, there are very few studies on cyberbullying among university students, especially in Myanmar. This study aims to determine the percentage of university students who suffered cyberbullying victimization in the last 12 months, and the association between students' socio-demographic characteristics, adverse events following cyberbullying and cyberbullying victimization. A cross-sectional study was conducted among university students aged 18 years and older at one medical university in Magway, Myanmar. A total of 412 students (277 males and 135 females) participated in the study. Data were collected from August to September, 2018 using a self-administered questionnaire. Multiple logistic regression analyses (models I and II) were performed to estimate the unadjusted (UOR) and adjusted odds ratios (AOR), and 95% confidence intervals (CI). In total, 40.8% of males and 51.1% of females in the study had suffered cyberbullying victimization in the past 12 months. In model I, students who had been studying at the university for 3 years or less (AOR = 1.81; 95% CI 1.14-2.85), and who had witnessed psychological, physical or sexual violence, or cyberbullying in their neighborhoods, (AOR = 2.95; 95% CI 1.48-5.91) were more likely to have suffered cyberbullying victimization in the past 12 months. In model II, being a victim of cyberbullying was associated with difficulties in concentrating and understanding lectures (AOR = 3.96; 95% CI 1.72-9.11), and substance abuse (AOR = 2.37; 95% CI 1.02-5.49). Non-resident students were at a higher risk of being cyberbullying victims than their resident peers (AOR = 1.86; 95% CI 1.04-3.34). Two out of five students had suffered cyberbullying victimization in the past 12 months, and only half of the victims discussed their experience(s) with someone else. Students who suffered cyberbullying victimization faced academic difficulties and started or increased smoking, betel chewing or alcohol drinking. Counter measures to prevent and mitigate the adverse events related to cyberbullying victimization are urgently needed among university students in Myanmar. Periodic screening for cyberbullying, counseling services, cyber-safety educational programs, and awareness raising campaigns should be implemented.</description><subject>Academic achievement</subject><subject>Academic Performance</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aggression</subject><subject>Bullying</subject><subject>Chewing</subject><subject>College students</subject><subject>Colleges &amp; universities</subject><subject>Computer and Information Sciences</subject><subject>Confidence intervals</subject><subject>Consent</subject><subject>Crime Victims - psychology</subject><subject>Cross-Sectional Studies</subject><subject>Cyberbullying</subject><subject>Demographics</subject><subject>Drinking (Alcoholic beverages)</subject><subject>Drinking behavior</subject><subject>Drug abuse</subject><subject>Education</subject><subject>Engineering and Technology</subject><subject>Female</subject><subject>Females</subject><subject>Hospital administration</subject><subject>Humans</subject><subject>Information technology</subject><subject>Internet</subject><subject>Male</subject><subject>Males</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mental Health</subject><subject>Mental health services</subject><subject>Myanmar</subject><subject>Online safety</subject><subject>People and Places</subject><subject>Public health</subject><subject>Public health movements</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Secondary school students</subject><subject>Sexual assault</subject><subject>Smartphones</subject><subject>Social networks</subject><subject>Social Sciences</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Stress, Psychological - 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psychology</topic><topic>Cross-Sectional Studies</topic><topic>Cyberbullying</topic><topic>Demographics</topic><topic>Drinking (Alcoholic beverages)</topic><topic>Drinking behavior</topic><topic>Drug abuse</topic><topic>Education</topic><topic>Engineering and Technology</topic><topic>Female</topic><topic>Females</topic><topic>Hospital administration</topic><topic>Humans</topic><topic>Information technology</topic><topic>Internet</topic><topic>Male</topic><topic>Males</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mental Health</topic><topic>Mental health services</topic><topic>Myanmar</topic><topic>Online safety</topic><topic>People and Places</topic><topic>Public health</topic><topic>Public health movements</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk Factors</topic><topic>Secondary school students</topic><topic>Sexual assault</topic><topic>Smartphones</topic><topic>Social networks</topic><topic>Social Sciences</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><topic>Stress, Psychological - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khine, Aye Thazin</au><au>Saw, Yu Mon</au><au>Htut, Zaw Ye</au><au>Khaing, Cho Thet</au><au>Soe, Htin Zaw</au><au>Swe, Kyu Kyu</au><au>Thike, Thinzar</au><au>Htet, Hein</au><au>Saw, Thu Nandar</au><au>Cho, Su Myat</au><au>Kariya, Tetsuyoshi</au><au>Yamamoto, Eiko</au><au>Hamajima, Nobuyuki</au><au>Yi, Siyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing risk factors and impact of cyberbullying victimization among university students in Myanmar: A cross-sectional study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-01-22</date><risdate>2020</risdate><volume>15</volume><issue>1</issue><spage>e0227051</spage><epage>e0227051</epage><pages>e0227051-e0227051</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Cyberbullying is a global public health concern with tremendous negative impacts, not only on the physical and mental health of students but also on their well-being and academic performance. However, there are very few studies on cyberbullying among university students, especially in Myanmar. This study aims to determine the percentage of university students who suffered cyberbullying victimization in the last 12 months, and the association between students' socio-demographic characteristics, adverse events following cyberbullying and cyberbullying victimization. A cross-sectional study was conducted among university students aged 18 years and older at one medical university in Magway, Myanmar. A total of 412 students (277 males and 135 females) participated in the study. Data were collected from August to September, 2018 using a self-administered questionnaire. Multiple logistic regression analyses (models I and II) were performed to estimate the unadjusted (UOR) and adjusted odds ratios (AOR), and 95% confidence intervals (CI). In total, 40.8% of males and 51.1% of females in the study had suffered cyberbullying victimization in the past 12 months. In model I, students who had been studying at the university for 3 years or less (AOR = 1.81; 95% CI 1.14-2.85), and who had witnessed psychological, physical or sexual violence, or cyberbullying in their neighborhoods, (AOR = 2.95; 95% CI 1.48-5.91) were more likely to have suffered cyberbullying victimization in the past 12 months. In model II, being a victim of cyberbullying was associated with difficulties in concentrating and understanding lectures (AOR = 3.96; 95% CI 1.72-9.11), and substance abuse (AOR = 2.37; 95% CI 1.02-5.49). Non-resident students were at a higher risk of being cyberbullying victims than their resident peers (AOR = 1.86; 95% CI 1.04-3.34). Two out of five students had suffered cyberbullying victimization in the past 12 months, and only half of the victims discussed their experience(s) with someone else. Students who suffered cyberbullying victimization faced academic difficulties and started or increased smoking, betel chewing or alcohol drinking. Counter measures to prevent and mitigate the adverse events related to cyberbullying victimization are urgently needed among university students in Myanmar. Periodic screening for cyberbullying, counseling services, cyber-safety educational programs, and awareness raising campaigns should be implemented.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31967998</pmid><doi>10.1371/journal.pone.0227051</doi><tpages>e0227051</tpages><orcidid>https://orcid.org/0000-0002-7757-4251</orcidid><orcidid>https://orcid.org/0000-0002-5038-0043</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Academic achievement
Academic Performance
Adolescent
Adult
Aggression
Bullying
Chewing
College students
Colleges & universities
Computer and Information Sciences
Confidence intervals
Consent
Crime Victims - psychology
Cross-Sectional Studies
Cyberbullying
Demographics
Drinking (Alcoholic beverages)
Drinking behavior
Drug abuse
Education
Engineering and Technology
Female
Females
Hospital administration
Humans
Information technology
Internet
Male
Males
Medical research
Medicine
Medicine and Health Sciences
Mental Health
Mental health services
Myanmar
Online safety
People and Places
Public health
Public health movements
Regression analysis
Research and Analysis Methods
Risk analysis
Risk assessment
Risk Factors
Secondary school students
Sexual assault
Smartphones
Social networks
Social Sciences
Sociodemographics
Statistical analysis
Stress, Psychological - etiology
Students
Studies
Substance abuse
Substance-Related Disorders - etiology
Suicidal behavior
Surveys and Questionnaires
Universities
University graduates
University students
Victimization
Violence
Well being
Young Adult
title Assessing risk factors and impact of cyberbullying victimization among university students in Myanmar: A cross-sectional study
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