Assessing the Relationships between Internet Addiction, Depression, COVID-19-Related Fear, Anxiety, and Suspicion among Graduate Students in Educational Administration: A Structural Equation Modeling Analysis

Internet addiction of university students in the Covid-19 process

This study delves into the intricate dynamics of internet addiction among university students, leveraging a comprehensive quantitative approach to unravel the myriad factors influencing this modern-day malaise. Utilizing logistic regression analysis, this research delineates the predictive significance of Daily Internet Usage Time (DIUT) and Communicative Internet Use Frequency (CIUF) on the propensity for internet addiction, with the analysis substantiating these variables as potent predictors. The model elucidates a significant variance in internet addiction, affirming the complexity of internet addiction as influenced by a constellation of behavioral patterns. Amidst the backdrop of the COVID-19 pandemic's exacerbation of digital dependency, this investigation sheds light on the escalation of internet use to addictive levels, prompted by prolonged isolation and the pivot to online learning platforms. This study underscores the resultant educational and psychological ramifications, highlighting a surge in addiction and its associated detriments such as diminished academic performance, social isolation, and a deterioration in mental health. Comparison of these findings with existing literature reveals a nuanced understanding of internet addiction, characterised by the interaction between individual behaviours and broader socio-economic and psychological contexts, such as the duration of daily internet use and the frequency of communicative internet use. This synthesis argues for a holistic strategy to address internet addiction, emphasizing the need for educational interventions, improving digital literacy and promoting healthy digital habits. By pinpointing the multifaceted nature of internet addiction and its predictors within the university student demographic, this research contributes to the ongoing discourse on digital dependency, proposing a multidisciplinary approach to develop resilient academic environments and support systems. It underscores the urgent need for targeted research to identify predictive factors of internet addiction, thereby enabling the formulation of effective strategies and policies for mitigating its impact on students' academic and psychological well-being. This study not only captures the complexity of internet addiction but also provides critical insights crucial for developing informed educational strategies and interventions in the digital age.

Risk Factors and Protective Factors of Internet Addiction in University Students during the Pandemic: Implications for Prevention and Treatment

While the prevalence rates of Internet addiction (IA) amongst young people during the pandemic are disturbing, few studies have investigated the risk and protective factors of IA in Hong Kong university students under COVID-19. In this study, we examined the relationship between COVID-19-related stress and IA and the role of psychological morbidity and positive psychological attributes in the relationship. In summer 2022, 978 university students completed a survey assessing pandemic-related stress, psychological morbidity, and positive psychological attributes. While psychological morbidity was indexed by depression, post-traumatic stress disorder, and suicidal behavior, positive psychological attributes included life satisfaction, flourishing, adversity beliefs, emotional competence, resilience, and family functioning measures. Results showed that stress and psychological morbidity positively predicted IA, and psychological morbidity mediated the association between stress and IA. Positive psychological attributes negatively predicted stress and IA, and mediated the connection between stress and IA. Positive psychological attributes moderated the mediating effect of psychological morbidity on the relationship between stress and IA. In addition to theoretical contributions, this study contributes to IA prevention and treatment: reducing psychological morbidity and promoting positive psychological attributes are promising strategies to address IA issues in young people.

Inferiority feelings and internet addiction among Turkish University students in the context of COVID-19: The mediating role of emotion dysregulation

Emotion dysregulation is a major predictor of increased internet addiction. However, the psychological experiences linked to increased internet addiction through higher emotion dysregulation are poorly understood. The aim of this study was to investigate if inferiority feelings, an Adlerian construct theorized to be rooted in childhood, are associated with increased Internet addiction through emotion dysregulation. Another objective of the study was to determine if the internet use characteristics of young adults changed during the pandemic. A conceptual model was validated statistically using the PROCESS macro with a survey method involving 443 university students living in different regions of Turkey. The results support the significance of all three effects of inferiority feelings on internet addiction, namely the total (B = 0.30, CI = [0.24, 0.35]), the direct (B = 0.22, BootCI = [0.15, 0.29]), and the indirect (B = 0.08, BootCI = [0.04, 0.12]). In other words, inferiority feelings are associated with a greater level of internet addiction both directly and indirectly through greater emotion dysregulation. Moreover, the overall prevalence of Internet addiction was 45.8% among the participants and that of severe Internet addiction was 22.1%. Almost 90% of the participants reported an increase in their recreational Internet use during the pandemic, with an average daily increase of 2.58 h (SD = 1.49), the significance of which was supported by the t-test results. The results provide important insights for parents, practitioners, and researchers on addressing the internet addiction problem among young adults living in Turkey or other countries that are similar to Turkey.

Hope Buffers the Effect of Fear of COVID-19 on Depression among College Students: Insomnia as a Mediator

BACKGROUND

In the period of the global pandemic, psychophysical problems induced by the fear of COVID-19 among college students deserve attention since the dormitory environment in college greatly increases the possibility of COVID-19 infection.

METHODS

A hypothesized mediated moderation model was to be verified using a cross-sectional study among 2453 college students. Fear of COVID-19, insomnia, hope, and depression were assessed by using the relevant scales.

RESULTS

(1) The fear of COVID-19 was positively correlated to depression (β = 0.365, t = 5.553, 95% CI = [0.236, 0.494]); (2) hope moderated the influence of the fear of COVID-19 on depression (β = -0.093, t = -4.066, 95% CI = [-0.137, -0.048]), as well as on insomnia (β = -0.095, t = -4.841, 95% CI = [-0.133, -0.056]); and (3) the mediated moderation model with hope as the moderator and insomnia as the full mediating variable between fear of COVID-19 and depression was verified (β = -0.060, 95% CI = [-0.093, -0.028]).

CONCLUSIONS

The findings suggest that hope is a vital mechanism to explain the relationship between the fear of COVID-19 and depression in early adulthood. In practical application, mental health practitioners should focus on boosting hope and alleviating insomnia when addressing COVID-19-related depression issues among college students.

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

Introduction

Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.

Methods

The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.

Results

The analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.

Discussion

The results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.

The Effect of Risk and Protective Factors on Primary School Students' COVID-19 Anxiety: Back to School After the Pandemic

This study aimed to analyze the risk and protective factors affecting the COVID-19 anxiety of primary school students after the reopening. It was investigated how primary school students' parents' vaccination, and COVID-19 cases seen at school, knowledge and awareness directly or indirectly explained their individual and social COVID-19 anxiety. The data were obtained from 227 primary school students living in different regions of Turkey. Pandemic Awareness Scale, Pandemic Anxiety Scale, Pandemic Information Test and Information Form were used to obtain the data. The data were analyzed by path analysis. According to the results, the case seen at school, knowledge and awareness of COVID-19 directly and significantly predicted primary school students' individual and social COVID-19 anxiety. Vaccination of parents, on the other hand, directly significantly predicted social COVID-19 anxiety of primary school students, but did not significantly predict individual COVID-19 anxiety. In addition, in this effect, awareness of COVID-19 mediates the knowledge of COVID-19, and cases seen at school mediate the vaccination of parents. The obtained model showed a good fit. According to the results, primary school students' knowledge and awareness about COVID-19 and parents' vaccination reduced their anxieties, and COVID-19 cases seen at school increased their anxiety.

Internet Addiction among Young Adult University Students during the COVID-19 Pandemic: The Role of Peritraumatic Distress, Attachment, and Alexithymia

The literature focused on the effect of the COVID-19 pandemic on young adult university students' mental health shows a significant increase in psychopathological symptoms and Internet Addiction (IA). The key role played by attachment and alexithymia has also been suggested, but no study has explored the possible dynamic relationship between these variables. We recruited a sample of n = 410 young adult university students online. We assessed the attachment to parents and peers (through IPPA), alexithymia (through TAS-20), peritraumatic distress symptoms due to COVID-19 (through CPDI), and IA (through IAT). The results showed that the relationship between the attachment to mothers and IA was partially mediated by alexithymia and by the serial mediation of alexithymia and peritraumatic distress, whereas the influence of the attachment to fathers on IA was fully mediated by peritraumatic distress. The direct effects of the attachment to peers on alexithymia, peritraumatic distress, and IA were all significant, as were the indirect paths via the simple mediation of both alexithymia and peritraumatic distress and the multiple serial mediation of alexithymia and peritraumatic distress. Our findings suggested that the relationship between attachment, alexithymia, and psychopathological risk is dynamic in predicting IA during the pandemic among young adult university students and that the different attachment figures exert a peculiar contribution to these processes.

Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach

The current study uses "digital addiction" as an umbrella term to refer to addiction to the Internet, social media, smartphones, digital devices, video games, or similar digital technologies. The study aims to investigate the scientific landscape of the digital addiction research field through combining bibliometric and science mapping analysis and to facilitate insight into the development and evolution of this knowledge base. Data for the analysis were extracted from the Scopus database, which covers a wide range of journal articles, with 429 articles addressing digital addiction included in the analysis. The science mapping analysis was performed over three consecutive time periods using SciMAT software to observe the thematic evolution. The results indicated that addictive behavior was the most significant theme across the three time periods. Cross-sectional studies addressing the risk factors or outcomes of addiction among adults and different sexes were prevalent during the first period (1997-2012), while interest moved to the addictive behavior of adolescents and students during the second period (2013-2017). Research during the third period (2018-2022) was driven by smartphone and social media addiction, and resilience as a preventive factor garnered more research interest than previously studied risk factors, which may indicate a perspective change by researchers. Implications are suggested for future investigations of digital addiction.

The Association Between Perceived Risk of COVID-19, Psychological Distress, and Internet Addiction in College Students: An Application of Stress Process Model

The closed-off management of the university during coronavirus disease 2019 (COVID-19) may be associated with an elevated odds of psychological and behavioral issues among college students. We aimed to use the stress-process model to explore the potential mechanisms for this phenomenon. A total of 924 college students were recruited via posters, peer referrals, and class attendance. Among them, 82 (9%) were probable depression, 190 (20.8%) were probable anxiety, and 69 (7.5%) were internet addiction. Parallel mediation was used to test this theoretical model. For personal resources, the perceived risk of COVID-19 was positively associated with psychological distress via negative coping style (β = 0.051) and internet addiction via negative coping style or self-esteem (β = 0.023 for negative coping style, β = 0.015 for self-esteem). For social resources, the perceived risk of COVID-19 was positively associated with psychological distress and internet addiction via roommate relationships (β = 0.19 for psychological distress, β = 0.046 for internet addiction). Negative coping styles and roommate relationships are possible psychological mechanisms linking the perceived risk of COVID-19, psychological distress, and internet addiction.