Jiayi Lu, Sihong Li, Tianqing Fan, Xi Ni, Leyin Zhang, Hui Chen, Xianliang Chen, Huajia Tang, Yanyue Ye, Jiansong Zhou, Yanmei Shen
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However, existing research often treats these factors in isolation, overlooking their potential interrelationships and joint associations with SI.</p><p><strong>Objective: </strong>This study aimed to examine how CM, IA, and bullying are jointly related to SI at both the scale and symptom levels and identify key symptoms within the CM-IA-bullying-SI network that may serve as intervention targets to disrupt maladaptive associations across the network.</p><p><strong>Methods: </strong>A total of 6573 adolescents were recruited through cluster sampling. Mediation analyses were conducted to assess direct and indirect effects of CM on SI via IA and bullying. Network analysis was conducted to examine symptom-level associations among CM, IA, bullying, and SI and identify core and bridge symptoms within the network. Network comparison tests were conducted to assess differences in network structure by gender and history of nonsuicidal self-injury.</p><p><strong>Results: </strong>Mediation analyses revealed that both IA and bullying partially mediated the association between CM and SI, with significant indirect effects via IA (c'=0.010, 95% CI 0.008-0.011; P<.001) and bullying (c'=0.004, 95% CI 0.002-0.005; P<.001). In the network, tolerance, time management, and compulsive internet use were identified as central symptoms, whereas SI, emotional abuse, and traditional bullying victimization served as bridge symptoms. Emotional abuse and cyberbullying victimization were most strongly linked to SI. Among individuals with a history of nonsuicidal self-injury, emotional abuse and emotional neglect showed stronger associations with SI. Sex subgroup analysis showed no significant difference in global strength (S=0.095; P=.69) but a significant difference in network structure (M=0.174; P=.01).</p><p><strong>Conclusions: </strong>This study revealed how CM, bullying, and IA are jointly related to SI among adolescents at both the scale and symptom levels. Key symptoms, including tolerance and time management, played central roles within the symptom network, with SI bridging multiple psychosocial domains. 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Network comparison tests were conducted to assess differences in network structure by gender and history of nonsuicidal self-injury.</p><p><strong>Results: </strong>Mediation analyses revealed that both IA and bullying partially mediated the association between CM and SI, with significant indirect effects via IA (c'=0.010, 95% CI 0.008-0.011; P<.001) and bullying (c'=0.004, 95% CI 0.002-0.005; P<.001). In the network, tolerance, time management, and compulsive internet use were identified as central symptoms, whereas SI, emotional abuse, and traditional bullying victimization served as bridge symptoms. Emotional abuse and cyberbullying victimization were most strongly linked to SI. Among individuals with a history of nonsuicidal self-injury, emotional abuse and emotional neglect showed stronger associations with SI. 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引用次数: 0
摘要
背景:网络成瘾(IA)、童年虐待(CM)和欺凌是青少年中普遍存在的心理社会压力源,并且都与自杀意念(SI)有关。然而,现有的研究往往孤立地对待这些因素,忽视了它们与SI的潜在相互关系和联合关联。目的:本研究旨在研究CM、IA和欺凌如何在量表和症状水平上与SI共同相关,并确定CM-IA-欺凌-SI网络中的关键症状,这些症状可能作为干预目标,破坏整个网络中的适应不良关联。方法:采用整群抽样的方法,对6573名青少年进行调查。通过中介分析来评估CM通过IA和欺凌对SI的直接和间接影响。进行网络分析以检查CM、IA、欺凌和SI之间的症状水平关联,并确定网络中的核心和桥梁症状。通过网络比较测试来评估性别和非自杀性自伤史在网络结构上的差异。结果:中介分析显示,IA和欺凌在CM和SI之间具有部分中介作用,并通过IA产生显著的间接效应(c'=0.010, 95% CI 0.008-0.011);结论:本研究揭示了CM、欺凌和IA在量表和症状水平上对青少年SI的共同影响。关键症状,包括耐受性和时间管理,在症状网络中起着核心作用,SI连接了多个社会心理领域。这些发现强调需要多层次、有针对性的干预措施来破坏适应不良的联系,降低青少年的自杀风险。
Childhood Maltreatment, Bullying, and Internet Addiction in Relation to Suicidal Ideation Among Adolescents: Cross-Sectional Mediation and Network Analysis.
Background: Internet addiction (IA), childhood maltreatment (CM), and bullying are prevalent psychosocial stressors among adolescents and have each been associated with suicidal ideation (SI). However, existing research often treats these factors in isolation, overlooking their potential interrelationships and joint associations with SI.
Objective: This study aimed to examine how CM, IA, and bullying are jointly related to SI at both the scale and symptom levels and identify key symptoms within the CM-IA-bullying-SI network that may serve as intervention targets to disrupt maladaptive associations across the network.
Methods: A total of 6573 adolescents were recruited through cluster sampling. Mediation analyses were conducted to assess direct and indirect effects of CM on SI via IA and bullying. Network analysis was conducted to examine symptom-level associations among CM, IA, bullying, and SI and identify core and bridge symptoms within the network. Network comparison tests were conducted to assess differences in network structure by gender and history of nonsuicidal self-injury.
Results: Mediation analyses revealed that both IA and bullying partially mediated the association between CM and SI, with significant indirect effects via IA (c'=0.010, 95% CI 0.008-0.011; P<.001) and bullying (c'=0.004, 95% CI 0.002-0.005; P<.001). In the network, tolerance, time management, and compulsive internet use were identified as central symptoms, whereas SI, emotional abuse, and traditional bullying victimization served as bridge symptoms. Emotional abuse and cyberbullying victimization were most strongly linked to SI. Among individuals with a history of nonsuicidal self-injury, emotional abuse and emotional neglect showed stronger associations with SI. Sex subgroup analysis showed no significant difference in global strength (S=0.095; P=.69) but a significant difference in network structure (M=0.174; P=.01).
Conclusions: This study revealed how CM, bullying, and IA are jointly related to SI among adolescents at both the scale and symptom levels. Key symptoms, including tolerance and time management, played central roles within the symptom network, with SI bridging multiple psychosocial domains. These findings underscore the need for multilevel, targeted interventions to disrupt maladaptive links and reduce suicide risk in adolescents.
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor.
Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.