Associations Between Internet Attachment, Cyber Victimization, and Internalizing Symptoms Among Adolescents

Holfeld, Brett; Sukhawathanakul, Paweena

doi:10.1089/cyber.2016.0194

Cited by 30 publications

(18 citation statements)

References 33 publications

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“…In the present study, anxiety, depression, negative self-esteem, somatization, and hostility subscale mean scores were found to be high for the adolescents who enacted cyberbullying and those who were exposed to cyberbullying. The results of the study support the literature and cyberbullying negatively affects the mental health of adolescents (Fahy et al, 2016;Holfeld & Sukhawathanakul, 2017;Landoll et al, 2015;Sari & Camadan, 2016;Ybarra & Michell, 2004;Vieno et al, 2014;Wang et al, 2011).…”

Section: Discussionsupporting

confidence: 85%

Virtual behaviors affecting adolescent mental health: The usage of Internet and mobile phone and cyberbullying

Calpbinici

Arslan

2019

Child Adoles Psych Nursing

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Problem An important environmental factor affecting adolescents today is undoubtedly technological tools. This descriptive and cross‐sectional study was conducted to evaluate the relationship of adolescents’ Internet and mobile phone usage, cyberbullying behaviors, and their self‐reported mental health. Methods The sample of the study consisted of a total of 426 students including 215 male students and 211 female students. A questionnaire was prepared by the researcher to determine the sociodemographic and personal characteristics and virtual behavioral characteristics of individuals. The Brief Symptom Inventory was used to determine the participants’ mental status. Findings It was found that adolescents’ daily Internet usage duration, Internet usage purpose, the place where they use Internet, cyberbullying, and exposure to cyberbullying were related to the adolescents’ self‐reported mental health (p < .05). Conclusion Several aspects of the virtual behaviors of the adolescents were associated with their sense of mental health issues. In this context, the school health nurse should raise awareness among adolescents about the use of technology and how it might impact their mental wellbeing.

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Section: Discussionsupporting

confidence: 85%

Virtual behaviors affecting adolescent mental health: The usage of Internet and mobile phone and cyberbullying

Calpbinici

Arslan

2019

Child Adoles Psych Nursing

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“…The situation of being a victim of a cyber attack presents a stressful event for victims who are likely to experience negative feelings such as anger, fear, sadness, insecurity and shame often accompanied with the feeling of surprise [124]. In a study on adolescents [135], it was found that those with greater Internet attachment were more likely to experience cyber victimisation and greater symptoms of anxiety and depression. With reliance on IoT devices in the home, it is important to take such results into account to develop strategies for decreasing negative impacts of attachment to IoT technology and possible emotional difficulties.…”

Section: E-sf: Subjective Feelingmentioning

confidence: 99%

A taxonomy of cyber-physical threats and impact in the smart home

Heartfield

Loukas

Budimir

et al. 2018

Computers & Security

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In the past, home automation was a small market for technology enthusiasts. Interconnectivity between devices was down to the owner's technical skills and creativity, while security was non-existent or primitive, because cyber threats were also largely non-existent or primitive. This is not the case any more. The adoption of Internet of Things technologies, cloud computing, artificial intelligence and an increasingly wide range of sensing and actuation capabilities has led to smart homes that are more practical, but also genuinely attractive targets for cyber attacks. Here, we classify applicable cyber threats according to a novel taxonomy, focusing not only on the attack vectors that can be used, but also the potential impact on the systems and ultimately on the occupants and their domestic life. Utilising the taxonomy, we classify twenty five different smart home attacks, providing further examples of legitimate, yet vulnerable smart home configurations which can lead to second-order attack vectors. We then review existing smart home defence mechanisms and discuss open research problems. Reference Key security properties Vulnerabilities/challenges Security recommended Open problems identified Komninos et al. [1] Confidentiality Connected to Internet Auto-immunity to threats Resilience Physical tampering Reliability, availability Lin et al. [2] Confidentiality Phys./netw. accessibility Gateway architecture Auto-configuration Authentication Constrained resources Updates Access control Heterogeneity Nawir et al. [6] Smart meter integrity Remote connectivity Techn. countermeasures Standardisation Privacy Physical tampering Regulatory initiatives Impact evaluation, metrics Non-repudiation Malicious actuation Intrusion detection Authorisation Logging for audit/forensics Ziegeldorf et al.[5]

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“…Prior research has identified media exposures, such as video games, television, movies, and the Internet, to be associated with the development of depression among adolescents (Bickham et al, 2015; Gonzálvez et al, 2016; Holfeld and Sukhawathanakul, 2017; Liu et al, 2016; Primack et al, 2009). Other research has extended this by suggesting that use of social media is associated with depressive symptoms and a decline in well-being among both adolescents (Pantic et al, 2012) and adults (Kross et al, 2013; Lin et al, 2016; McDougall et al, 2016; Shensa et al, 2016).…”

mentioning

confidence: 99%

Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

Shensa

Escobar-Viera

Sidani

et al. 2017

Social Science & Medicine

323

241

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Rationale Depression is the leading cause of disability worldwide. The suggested association between social media use (SMU) and depression may be explained by the emerging maladaptive use pattern known as problematic social media use (PSMU), characterized by addictive components. Objective We aimed to assess the association between PSMU and depressive symptoms—controlling for overall time and frequency of SMU—among a large sample of U.S. young adults. Methods In October 2014, participants aged 19–32 (N = 1749) were randomly selected from a nationally-representative U.S. probability-based panel and subsequently invited to participate in an online survey. We assessed depressive symptoms using the validated Patient-Reported Outcomes Measurement Information System (PROMIS) brief depression scale. We measured PSMU using an adapted version of the Bergen Facebook Addiction Scale to encompass broader SMU. Using logistic regression models, we tested the association between PSMU and depressive symptoms, controlling for time and frequency of SMU as well as a comprehensive set of socio-demographic covariates. Results In the multivariable model, PSMU was significantly associated with a 9% increase in odds of depressive symptoms (AOR [adjusted odds ratio] = 1.09; 95% CI [confidence interval]: 1.05, 1.13; p < .001.) Increased frequency of SMU was also significantly associated with increased depressive symptoms, whereas SMU time was not (AOR = 1.01; 95% CI: 1.00, 1.01; p = .001 and AOR = 1.00; 95% CI: 0.999–1.001; p = .43, respectively). Conclusion PSMU was strongly and independently associated with increased depressive symptoms in this nationally-representative sample of young adults. PSMU largely explained the association between SMU and depressive symptom, suggesting that it may be how we use social media, not how much, that poses a risk. Intervention efforts aimed at reducing depressive symptoms, such as screenings for maladaptive SMU, may be most successful if they address addictive components and frequency—rather than time—of SMU.

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Associations Between Internet Attachment, Cyber Victimization, and Internalizing Symptoms Among Adolescents

Cited by 30 publications

References 33 publications

Virtual behaviors affecting adolescent mental health: The usage of Internet and mobile phone and cyberbullying

Virtual behaviors affecting adolescent mental health: The usage of Internet and mobile phone and cyberbullying

A taxonomy of cyber-physical threats and impact in the smart home

Problematic social media use and depressive symptoms among U.S. young adults: A nationally-representative study

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