Cyberbullying Among Adolescents with Chronic Illnesses in Thailand: Prevalence and Relationship with Health-Risk Behaviors

被引:3
|
作者
Sitthi, Natthapong [1 ]
In-iw, Supinya [1 ]
Theppiban, Supparat [1 ]
Manaboriboon, Boonying [1 ]
机构
[1] Mahidol Univ, Siriraj Hosp, Fac Med, Dept Pediat, 2 Prannok Rd, Bangkok 10700, Thailand
来源
关键词
cyberbully; cyber victim; chronic illness; adolescents; risky behaviors; CHILDREN; YOUTH; VICTIMIZATION; DISABILITY; STUDENTS; SCHOOL;
D O I
10.1097/DBP.0000000000001110
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Background: The use of social media may enhance the quality of life in adolescents living with chronic illnesses but may increase the risk of cyberbullying. Objective: The aim of this study was to estimate the prevalence of cyberbullying among adolescents with chronic illnesses and relationship with health-risk behaviors. Methods: This is an online survey of randomly recruited adolescents aged 11 to 18 years with chronic illness managed at Siriraj Hospital, Thailand, during 2019 to 2020. Participants were asked to respond anonymously to validated online questionnaires to evaluate health-risk behaviors, experience with cyberbullying, and depression-screening questions. Results: Three hundred forty-one participants with a mean age of 15.02 +/- 2.17 years (interquartile range 12.8, 17.2) responded. Reported risk behaviors included sexual activity in 42 participants (12.3%) with almost half (47.6%) having practiced unsafe sex. Alcohol drinking and polysubstance use were also found in 8.5% and 1.2%, respectively. 38 (11.1%) felt depressed within the previous 2-week period. 56 (16.4%) had been a cyberbully victim. Among the victims, 25 (44.6%) were also cyberbullies themselves. Chronically ill adolescents were more likely to be a victim of cyberbullying if they knew someone who had also been a victim (adjusted odds ratio [aOR] 5.25 [95% confidence interval [CI] = 1.80-15.29], p < 0.001) or had a positive depression screening (aOR 6.182 [95% CI = 2.41-15.85], p < 0.001). Underlying diseases, age, sex, risky behaviors, and time spent online were not associated with being cyberbullied. Conclusion: Thai adolescents with chronic illness were similar to their healthy peers regarding health-risk behaviors and the likelihood of being a victim of cyberbullying. Screening for risky behaviors, evidence of depression, and online activity during routine medical visits was an opportunity to prevent cyberbullying.
引用
下载
收藏
页码:E533 / E540
页数:8
相关论文
共 50 条
  • [31] Health-risk behaviors and quality of life among young men
    Dey, Michelle
    Gmel, Gerhard
    Studer, Joseph
    Mohler-Kuo, Meichun
    QUALITY OF LIFE RESEARCH, 2014, 23 (03) : 1009 - 1017
  • [32] Analysis of relationships among health-risk behavior in Korean adolescents
    Seomun, GyeongAe
    Noh, Wonjung
    DIGITAL HEALTHCARE EMPOWERING EUROPEANS, 2015, 210 : 942 - 942
  • [33] Prevalence and Risk Factors of Cyberbullying and Its Association With Mental Health Among Adolescents in Saudi Arabia
    Alrasheed, Njoud
    Nishat, Sumaiya
    Bin Shihah, Abdulelah
    Alalwan, Abdulaziz
    Jradi, Hoda
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (12)
  • [34] Health-risk behaviors among a sample of US pre-adolescents: Types, frequency, and predictive factors
    Riesch, Susan K.
    Kedrowski, Karen
    Brown, Roger L.
    Temkin, Barbara Myers
    Wang, Kevin
    Henriques, Jeffrey
    Jacobson, Gloria
    Giustino-Kluba, Nina
    INTERNATIONAL JOURNAL OF NURSING STUDIES, 2013, 50 (08) : 1067 - 1079
  • [35] Health risk behaviors among adolescents in the south of Brazil: prevalence and associated factors
    de Farias Junior, Jose Cazuza
    Nahas, Markus Vinicius
    Gomes de Barros, Mauro Virgilio
    Loch, Mathias Roberto
    de Oliveira, Elusa Santina A.
    Luchtemberg De Bem, Maria Ferminia
    Lopes, Adair da Silva
    REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH, 2009, 25 (04): : 344 - 352
  • [36] RELATIONSHIP OF MEDIA LOCATION TO ADOLESCENT HEALTH-RISK BEHAVIORS: GENDER DIFFERENCES
    Rew, Lynn
    Mackert, Michael
    Su Zhaohui
    JOURNAL OF ADOLESCENT HEALTH, 2014, 54 (02) : S47 - S47
  • [37] Prevalence of cyberbullying and predictors of cyberbullying perpetration among Korean adolescents
    Lee, Changho
    Shin, Namin
    COMPUTERS IN HUMAN BEHAVIOR, 2017, 68 : 352 - 358
  • [38] The relationship between cumulative ecological risk and health risk behaviors among Chinese adolescents
    Wang, Jiaojiao
    Xie, Yang
    Zhang, Yi
    Xu, Huiqiong
    Zhang, Xianglin
    Wan, Yuhui
    Tao, Fangbiao
    BMC PUBLIC HEALTH, 2024, 24 (01)
  • [39] The relationship between cumulative ecological risk and health risk behaviors among Chinese adolescents
    Jiaojiao Wang
    Yang Xie
    Yi Zhang
    Huiqiong Xu
    Xianglin Zhang
    Yuhui Wan
    Fangbiao Tao
    BMC Public Health, 24
  • [40] PHYSICAL ACTIVITY, WEIGHT, AND HEALTH-RISK BEHAVIORS AMONG COLLEGE STUDENTS
    Napolitano, Melissa
    Hayes, Sharon
    ANNALS OF BEHAVIORAL MEDICINE, 2010, 39 : 33 - 33