Does adolescents’ Internet addiction trigger depressive symptoms and aggressive behavior, or vice versa? The moderating roles of peer relationships and gender

Violence tendency and internet addiction in adolescents

OBJECTIVE

The aim of this study was to determine the relationship between internet addiction and violence tendency in adolescent students and the factors affecting violence tendency.

METHODS

The research was conducted on 2,648 middle school students in Turkey. A socio-demographic form, the Young Internet Addiction Scale, and the Violence Tendency Scale were used to collect data. The data were analyzed using descriptive statistics and multiple regression analysis.

RESULTS

It was determined that there was a significant positive relationship between the Young Internet Addiction Scale and the Violence Tendency Scale. Age has a positive effect on violence tendency levels.

CONCLUSION

These findings suggest that the variables of age and internet addiction contribute to the occurrence of violence tendency. Psychiatric nurses should plan trainings and evaluate its effectiveness to raise awareness.

Socioeconomic inequalities in the relationship between internet usage patterns and depressive symptoms: Evidence from a Chinese longitudinal study

Background

The increasing prevalence of depressive symptoms has emerged as a critical public health issue globally, highlighting the need for analyses of the factors contributing to depressive symptoms within the Chinese population and the development of targeted recommendations for improving mental well-being. We aimed to explore the correlation between internet use and depressive symptoms and the role of socioeconomic inequalities in this association.

Methods

We included data on 8019 residents aged 18 years and above, which we retrieved from the 2018 and 2020 waves of the China Family Panel Studies. We used latent profile analysis to categorise individuals' internet usage patterns and multiple linear regression to determine their association with depressive symptoms.

Results

Higher socioeconomic status (SES) was associated with fewer depressive symptoms (τ = -0.08; 95% confidence interval (CI) = -0.36, -0.18). Individuals in the high-dependence group presented a greater likelihood of developing depressive symptoms (τ = 0.04; 95% CI = 0.007, 0.66). We observed no significant difference in the interaction effect between individual-level SES and the four patterns of internet usage. However, compared with urban-dwelling respondents, those in rural areas had a stronger association between internet usage patterns and depressive symptoms, especially those in the high-dependence group (τ = -0.07; 95% CI = -1.47, -0.20).

Conclusions

Our findings indicate a significant association between depressive symptoms and internet usage patterns, indicating a need for interventions related to internet use, especially those targeted at reducing the risk of depressive symptoms in individuals of lower SES.

The longitudinal relationship between loneliness and both social anxiety and mobile phone addiction among rural left-behind children: A cross-lagged panel analysis

INTRODUCTION

Left-behind children are a special group that needs urgent attention. Due to enduring separation from their parents, loneliness is considered the most common and prevalent developmental hurdle in the experiences of left-behind children. This longitudinal cross-lagged study examined the direction of the association between loneliness and both internalizing and externalizing symptoms, with considering gender and left-behind status differences.

METHODS

A total of 1175 rural Chinese children (48.3% boys, 39.9% left-behind children, Mage = 14.54 ± 1.18 at baseline) completed self-reported loneliness, social anxiety, and mobile phone addiction at two-time points with 6 months intervals. Descriptive statistics, cross-lagged panel analysis, and multiple group analysis were estimated in the present study.

RESULTS

Loneliness exacerbated social anxiety and mobile phone addiction, and vice versa. In addition, gender and left-behind status moderated these relationships, with boys more likely to be mobile phone addicted due to loneliness and girls more likely to be lonely due to mobile phone addiction. More importantly, left-behind children with loneliness are more prone to social anxiety and mobile phone addiction, and vice versa, compared with non-left-behind children.

CONCLUSIONS

The targeted interventions should be carried out for different genders and left-behind statuses. Particularly for left-behind children, neglecting to address both the symptoms of loneliness and both social anxiety and mobile phone addiction could significantly undermine the efficacy of intervention programs that solely target either one of these afflictions.

Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Objective

Internet addiction and depressive symptoms are common mental health problems in adolescents. Due to the comorbidity of Internet addiction and depressive symptoms, their mutual relationship influences their developmental trajectories over time. Thus, this study aimed to identify the joint trajectories of Internet addiction and depressive symptoms, and examined the individual, family, and school antecedents of these trajectories among Chinese adolescents.

Methods

Using a battery of self-report scales, three waves of data collection were conducted in a Chinese adolescent sample (N = 1,301). The co-developmental trajectories of Internet addiction and depressive symptoms were extracted by adopting parallel-process latent class growth modeling (PPLCGM). Multinomial logistic regression was performed to assess predictive factors.

Results

Four unique joint trajectory classes were detected: the Health Group (n = 912, 70.1%), Comorbidity-Worsening Group (n = 85, 6.5%), Asymptomatic-Comorbid Risk Group (n = 148, 11.4%), and Prominent Depressive Symptoms-Remission Group (n = 156, 12.0%). Individual, family, and school factors (e.g., gender, positive youth development, family function, academic performance) significantly predicted the membership in these distinct co-developmental trajectories.

Conclusion

Our findings illustrate that the joint development of Internet addiction and depressive symptoms among adolescents presents a heterogeneous distribution, which could better inform prevention and intervention strategies since each co-developmental trajectory may represent unique experience for adolescents who need targeted treatment. Various individual, family, and school factors are important predictors that play different roles in distinguishing the joint trajectories of Internet addiction and depressive symptoms during this critical developmental transition period.

Depression, stress, and anxiety versus internet addiction in early and middle adolescent groups: the mediating roles of family and school environments

BACKGROUND

Family and school environment play a crucial role across the different developmental stages of adolescence. This paper investigates the potential mediating role of family and school environments in the relationship between the three psychosocial predictors of depression, anxiety, stress, and Internet addiction (IA). Specifically, it focuses on the two stages of early and middle adolescence.

METHODS

The study involved a survey of 407 adolescents from Qatar, comprising 250 early adolescents and 157 middle adolescents. Inclusion criteria for the study included adolescents between the ages of 10 to 17 years old, residents of Qatar and studying in a Qatar-based school. To assess the constructs of the three psychosocial predictors, IA, family environment, the study utilized the Depression, Stress, and Anxiety Scale (DASS), the Internet Addiction Diagnostic Questionnaire (IADQ), and the Brief Family Relationship Scale, respectively. School environment was measured using questions from the "Health Behavior in School-aged Children: WHO Collaborative Cross-National survey/study (HBSC) 2013-2014. The study applied standard mediation analysis between the DASS components and IA with family and school environment as the mediators.

RESULTS

Results from the mediation analysis reveal insights into the relationships between psychosocial predictors and IA. The findings indicate that family and school environments partially mediated the relationship with regards to depression, stress, and anxiety in early adolescents. In middle adolescents, family environment partially mediated the relationship with depression and stress and fully mediating the relationship with anxiety. Meanwhile, school environment only exhibited partial mediation in the relationship with anxiety in middle adolescence.

CONCLUSIONS

These results highlight the crucial role parents and schools play in addressing problematic technology usage that develops as a response to depression, anxiety, and stress among adolescents. Moreover, the study reveals nuances in the mediating role of family and school environment in early and middle adolescence. This highlights the evolving nature of these influences across the different stages of development. Notably, this study contributes to the literature by moving beyond the conventional focus on the so-called WEIRD population, and offering valuable insights from a region that is underrepresented in current research.

The influence of adolescents essential and non-essential use of technology and Internet addiction on their physical and mental fatigues

This study explores the impact of Internet addiction (IA), age, and essential and non-essential technology usage time on the physical and mental fatigue of adolescents. The research surveyed 477 adolescents from Qatar and employed the Internet Addiction Diagnostic Questionnaire (IADQ) and Chalder's Fatigue Scale for data collection. Multiple linear regression and Mann-Whitney U tests were utilized for analysis. The findings indicate that IA, non-essential usage time, and age are positively associated with overall fatigue among adolescents. IA and non-essential usage time are positively linked to physical fatigue, while IA, non-essential usage time, and age are positive predictors of mental fatigue. However, essential usage time is negatively associated with mental fatigue. These results highlight the importance of distinguishing technology usage based on intent and necessity, as well as differentiating between physical and mental fatigue when examining problematic technology usage. This study is among the few conducted in the Middle Eastern context.

The influence of adolescents' internet adaptation on internet addiction: the mediating role of internet cultural adaptation

This study investigates how adolescents' internet adaptation influences internet addiction, with a particular focus on the mediating role of internet cultural adaptation. Grounded in cross-cultural adaptation theory, the study proposes that internet cultural adaptation can mitigate the negative relationship between internet adaptation and internet addiction. Conducting a large-scale random survey among Chinese adolescents, and employing standardized measures for internet addiction, internet cultural adaptation, and internet adaptation, the study finds a significant negative correlation between internet adaptation and internet addiction. More crucially, internet cultural adaptation plays a pivotal mediating role, such that when adolescents have higher capabilities in adapting culturally to the internet, the negative relationship between their internet adaptation and addiction is effectively alleviated. These findings not only provide a new perspective in understanding adolescent internet addiction but also offer theoretical guidance for devising preventive measures. The study also discusses practical applications of the results, emphasizing the importance of enhancing adolescents' internet cultural adaptation, and presents new strategies for preventing and mitigating issues of internet addiction.

Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents

OBJECTIVE

There has been growing evidence of comorbidity between problematic internet game use and internalizing and externalizing problems in young people. However, little is known about the directionality and gender differences in these longitudinal relations at the symptoms level in the framework of network theory among youth. This study estimated the longitudinal relations between the symptoms of problematic internet game use, internalizing and externalizing problems, and the gender differences of these relations in Chinese youth using cross-lagged panel network modeling (CLPN).

METHODS

A sample of 1269 Chinese youth (M age = 10.35 years) participated in this study semi-annually at two time points. CLPN analysis was used to calculate the network model of problematic internet game use and internalizing and externalizing problems to explore bridge symptoms and find transmission pathways between problematic internet game use and internalizing and externalizing problems.

RESULTS

The CLPN revealed significant gender differences. For boys, depressed mood, which leads to relationships turning sour in order to play online games, bridges the relations between internalizing symptoms and problematic internet game use. For girls, irritability is the central predictive symptom, causing a range of problems related to problematic internet game use, which can, in turn, lead to fights or feelings of worthlessness. However, the effect sizes for the pathways between problematic internet game use and internalizing/externalizing problems were relatively weak, and the comorbidity between their relations should not be over-interpreted.

CONCLUSIONS

The current findings provide new evidence for understanding the directional relationship between the central characteristics of problematic internet game use and internalizing and externalizing problems in boys and girls. Gender-specific interventions targeting the central symptoms of internalizing and externalizing problems and problematic internet game use can help mitigate the vicious cycle of comorbidity among adolescents.

Socio-demographic and mental health correlates of internet addiction amongst Hong Kong university students under COVID-19

Introduction

Regarding the problem of Internet addiction (IA) amongst university students under the pandemic, there are several research gaps. Firstly, few studies have examined IA of university students in Hong Kong, which is a Chinese society heavily influenced by Western values. In addition, findings on the socio-demographic correlates and psychological well-being predictors of IA in university students are unclear. Finally, researchers have not systematically examined the interaction effects of socio-demographic factors (particularly gender and personal infection of COVID-19) and psychological morbidity on IA. This pioneer study aimed to investigate the predictive role of socio-demographic factors and psychological morbidity in IA, and the moderating effects of gender and personal infection of COVID-19 on the relationship between psychological morbidity and IA.

Methods

We conducted an online survey (N = 1,020 university students) during the ending phase of Wave 5 of the pandemic in Hong Kong (late 2022 to early 2023). Socio-demographic correlates included age, gender, living status, personal and family financial situation, student status, personal and family infection of COVID-19. Participants responded to validated measures of psychological morbidity, including depression, suicidal behavior, and hopelessness. Hierarchical regression and simple slope analyses were used to examine the predictive role of socio-demographic variables and psychological morbidity in IA and the interactive effect of gender and personal infection of COVID-19 with psychological morbidity on IA.

Results

Personal financial difficulty was a significant socio-demographic predictor of IA. Depression, suicidal behavior, and hopelessness positively predicted IA. We also found a significant interaction effect of gender and psychological morbidity on IA. While the predictive relationship between depression and IA was stronger in males than in females, hopelessness was more strongly related to IA in females than in males. Finally, there was a significant interaction effect of personal infection of COVID-19 and suicidal behavior on IA.

Conclusion

Personal financial difficulty was a socio-economic correlate of IA. Psychological morbidity also predicted IA. Gender and personal infection of COVID-19 moderated the linkage between psychological morbidity and IA. The findings of the study enhance our understanding of individual differences in IA in university students during the pandemic, particularly concerning different ecological risk factors.

The association between online learning, parents' marital status, and internet addiction among adolescents during the COVID-19 pandemic period: A cross-lagged panel network approach

INTRODUCTION

Previous research has identified the association between online learning and Internet addiction (IA) and the role of family factors in it. However, few studies have treated IA as a multidimensional mechanism and explored the underlying linkage of online learning, IA, and parental marital status with a cross-lagged network approach. The study aimed to examine the relationship between online learning during the COVID-19 pandemic, Internet addiction (IA), and parental marital status among Chinese adolescents.

METHODS

The sample consisted of 2356 adolescents who completed the Internet Addiction Test twice over a four-month period. Four symptom networks and two cross-lagged panel networks were performed.

RESULTS

The results showed that adolescents from divorced families had a higher prevalence of IA (27 %) compared to those from non-divorced families (17 %). The strongest cross-lagged association was found between "spending more time online" and "preferring the excitement online". In the divorced group, "school grades suffering" had the highest influence, while in the non-divorced group, "anticipation" had the highest influence.

CONCLUSION

This study highlights the relationship between online learning, IA, and parental divorce and suggests that long-term online learning may contribute to IA, and parental divorce may exacerbate problematic Internet use and increase IA levels.

Anxiety predicts internet addiction, which predicts depression among male college students: A cross-lagged comparison by sex

Objectives

Internet addiction has become an increasingly serious public health issue, putting young people at particular risk of psychological harm. This study aimed to analyze the interactions between college students' depression, anxiety, and Internet addiction and explore how these interactions differ between men and women.

Methods

A 6-month follow-up study was conducted on 234 college students using the Self-Rating Depression Scale, Self-rating Anxiety Scale, and Revised Chen Internet Addiction Scale.

Results

Depression, anxiety, and Internet addiction were positively correlated (p < 0.01). Anxiety can predict Internet addiction and that Internet addiction can predict depression. Moreover, anxiety had a significant predictive effect on Internet addiction among men.

Conclusion

Anxiety predicts Internet addiction, and Internet addiction predicts depression among male college students. These findings may better inform future Internet addiction intervention strategies. Particularly, interventions may better address Internet addiction by focusing on the role of anxiety, especially among men.

How Does the Parent–Adolescent Relationship Affect Adolescent Internet Addiction? Parents’ Distinctive Influences

Although previous research has demonstrated that parent–adolescent relationships have a significant effect on adolescent Internet Addiction (IA), the mechanisms underlying these associations and parental differences in these effects have received insufficient attention. We investigated the mediating role of Perceived Social Support and Dual System of Self-Control (DSSC) in the relationship between Father-Adolescent Relationships/Mother-Adolescent Relationships (FAR/MAR) and adolescent IA, as well as the differences in the effects of FAR and MAR. A cross-sectional survey of 732 Chinese adolescents was conducted using the Adolescent Pathological Internet Use Scale, Parent–Adolescent Relationship Scale, Multidimensional Scale of Perceived Social Support, and Dual System of Self-Control Scale. Multiple linear regression analysis, Pearson correlation analysis and structural equation modeling were used. The results of structural modeling analysis showed that neither FAR nor MAR directly predicted adolescent IA. In contrast, FAR/MAR had an impact on adolescent IA mainly through the mediating effects of Perceived Social Support and Impulsive System. Furthermore, in the relationship between FAR/MAR and adolescent IA, the Impulsive System and Perceived Social Support both served as chain mediators, as did Perceived Social Support and the Reflective System. And more importantly, unlike FAR, MAR affects adolescent IA through the mediating effect of the Reflective System. Multiple linear regression showed that the regression coefficient of MAR on adolescent IA had stronger significance compared to FAR, MAR is deserving of more attention than FAR. These findings contribute to our understanding of the mechanisms underlying the association between FAR/MAR and adolescent IA and suggest that family relationship-focused training approaches are critical for suppressing adolescent IA. These interventions should be tailored to the unique circumstances of each family.