Cyberbully victimization and its association with residual depressive symptoms among clinically stable adolescents with psychiatric disorders during the COVID-19 pandemic: A perspective from network analysis

被引:3
作者
Xie, Xiao-Meng [1 ,2 ]
Cai, Hong [3 ,4 ]
Li, Shu-Ying [5 ]
Li, Zong-Lei
Zhang, Wu-Yang [6 ]
Zhao, Yan-Jie
Zhang, Yao [5 ]
Ungvari, Gabor S. [7 ,8 ]
Tang, Yi-Lang [9 ,10 ]
He, Fan [1 ,2 ]
Xiang, Yu-Tao [3 ,4 ]
机构
[1] Capital Med Univ, Natl Clin Res Ctr Mental Disorders, Sch Mental Hlth, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Anding Hosp, Adv Innovat Ctr Human Brain Protect, Sch Mental Hlth, Beijing, Peoples R China
[3] Univ Macau, Inst Translat Med, Fac Hlth Sci, Dept Publ Hlth, Macau, Peoples R China
[4] Univ Macau, Ctr Cognit & Brain Sci, Macau, Peoples R China
[5] Zhengzhou Univ, Dept Psychiat, Affiliated Hosp 1, Zhengzhou, Peoples R China
[6] Xiamen Xianyue Hosp, Dept Psychiat, Xiamen, Peoples R China
[7] Univ Notre Dame Australia, Sect Psychiat, Fremantle, WA, Australia
[8] Univ Western Australia, Graylands Hosp, Sch Med, Div Psychiat, Perth, WA, Australia
[9] Emory Univ, Dept Psychiat & Behav Sci, Atlanta, GA USA
[10] Atlanta VA Med Ctr, Mental Hlth Serv Line, Decatur, GA USA
关键词
COVID-19; cyberbullying; victimization; psychiatric disorder; adolescent patients; network analysis; MENTAL-HEALTH; ANXIETY SYMPTOMS; ANHEDONIA; MOOD; SCHIZOPHRENIA; CENTRALITY; OUTBREAK; RISK;
D O I
10.3389/fpsyg.2022.1080192
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
ObjectiveThis study examined the prevalence of cyberbullying and its relationship with residual depressive symptoms in this patient population during the COVID-19 outbreak using network analysis. MethodsThis was a multicenter, cross-sectional study. Adolescent patients attending maintenance treatment at outpatient departments of three major psychiatric hospitals were included. Experience of cyberbullying was measured with a standard question, while the severity of Internet addiction and depressive symptoms were measured using the Internet Addiction Test and the Patient Health Questionnaire-9, respectively. The network structure of depression and cyberbully were characterized and indices of "Expected Influence" was used to identify symptoms central to the network. To identify particular symptoms that were directly associated with cyberbully, the flow function was used. ResultsAltogether 1,265 patients completed the assessments. The overall prevalence of cyberbullying was 92.3% (95% confidence interval (CI): 90.8-93.7%). Multiple logistic regression analysis revealed that male gender (p = 0.04, OR = 1.72, 95%CI: 1.04-2.85) was significantly associated with higher risk of cyberbullying, while a relapse of illness during the COVID-19 pandemic was significantly associated with a lower risk of cyberbullying (p = 0.03, OR = 0.50, 95%CI: 0.27-0.93). In the network of depression and cyberbully, "Sad mood," "Anhedonia" and "Energy" were the most central (influential) symptoms. Furthermore, "Suicidal ideation" had the strongest negative association with cyberbully followed by "Guilt". ConclusionDuring the COVID-19 pandemic, the experience of cyberbullying was highly prevalent among clinically stable adolescent psychiatric patients, particularly male patients. This finding should raise awareness of this issue emphasizing the need for regular screening and interventions for adolescent patients. Central symptoms (e.g., "Sad mood," "Anhedonia" and "Energy") identified in this study should be targeted in interventions and preventive measures.
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