Trajectory of problematic internet use across the college years: The role of peer internet overuse behavior and peer attitude toward internet overuse

The comorbidity mechanism of problematic internet use and depression among Chinese college students: A cross-lagged panel network analysis

Problematic internet use (PIU) and depression usually co-occur and are common among college students. According to network theory, it may be attributed to the interplay of symptoms that connect these two mental health problems. However, most studies have failed to examine complex and subtle connections at the symptom level and have not clarified how PIU and depression symptoms are intercorrelated, which symptoms serve as the source of comorbidity (i.e., the central symptoms), and whether such a comorbidity mechanism would change with higher grades. To explore these questions, this study examined four contemporaneous networks and three cross-lagged panel networks, visualizing the symptoms as nodes and the connections between symptoms as edges. A total of 2,420 college students (Mage = 18.35, SD = 0.84; 67.98 % girls) completed four annual surveys. Overall, the results of contemporaneous networks and cross-lagged panel networks indicated that (a) PIU and depression symptoms are intercorrelated; (b) the core symptoms responsible for comorbidity mostly belonged to PIU, and (c) the comorbidity mechanism would change with time. These findings explain the dynamic relation between PIU and depression and identify possible primary symptoms that comorbidity programs can mitigate at different stages of the college years.

Enhancing academic self-efficacy on decreasing adolescents' unmonitored internet usage and depressive mood

Unmonitored internet use and depression are difficulties that adolescents experience. Efforts to promote healthy adolescent development tend to focus on reducing these two risk outcomes. Therefore, the purpose of this study was to examine how three important school-related factors (teachers, peers, and academics) affect adolescents' levels of unmonitored internet use and depression. For this study, a cross-sectional data analysis was conducted. The sample included 9297 students who participated in two waves of the China Education Panel Survey (CEPS). Structural equation modeling (SEM) was performed using LISREL 8.80 to analyze the data. Monte Carlo resampling was then performed using R to confirm the significance of the mediating effects. Teacher criticism and negative peers can increase unmonitored internet use and depression in adolescents, while academic stress can exacerbate depression. In contrast, teacher praise and positive peers can reduce those risk outcomes. Academic self-efficacy serves as a key mediator of the impacts of teachers, peers, and academics on adolescents' levels of unmonitored internet use and depression. We advocate that schools should establish a positive school climate, provide teacher feedback training and design physical activity programs to improve academic self-efficacy, thereby reducing the risk of unmonitored internet use and depression among adolescents, effectively preventing possible subsequent internet addiction and promoting the mental health of adolescents.

Changes in the comorbidity patterns of negative emotional symptoms and Internet addiction over time among the first-year senior high school students: A one-year longitudinal study

BACKGROUND

The comorbidity of psychiatric disorders and Internet addiction (IA) has been widely documented. However, changes and instability of the comorbidity between negative emotional symptoms and IA over time are not fully understood.

METHODS

A sample of 453 first-year senior high school students completed all measures three times across one-year period and were included in the current study. The sample consisted of 163 (36.0%) males and 290 (64.0%) females. At the baseline, the mean age of the participants was 15.07 ± 0.46 (range: 12-16) years old. Latent class analysis was used to identify the latent class pattern. Multinomial logistic regression analysis was utilized to examine the association between covariates and latent classes at baseline. Latent transition analysis was applied to explore the changes in latent classes of individuals over time.

RESULTS

Three subgroups of negative emotional symptoms, IA and their comorbidity were identified at all the three time points. Being Internet gamers, high average time of Internet use every day, peer exclusion, verbal and physical bullying experience, and poor self-rated health were found to be significant predictors of the high comorbidity symptom. Students were more likely to remain the same class rather than moving between the latent classes across time.

CONCLUSIONS

A better understanding of change characteristics in latent classes across time contributes to confirm an appropriate time for intervention targeted on students who converted from low symptom class to the high class.

Longitudinal associations between problematic Internet use, self-esteem, and depressive symptoms among Chinese adolescents

Problematic Internet use (PIU) has a negative impact on self-esteem among adolescents, thereby making them be vulnerable to developing depressive symptoms. However, there is a lack of longitudinal studies focusing on the process. This study aimed to explore the longitudinal associations between PIU, self-esteem, and depressive symptoms. A total of 1,736 adolescents completed this longitudinal study. The baseline survey was conducted in 2019, and the follow-up surveys were performed at 1-year and 2-year later. PIU, self-esteem, and depressive symptoms were measured. A cascade model was used to examine the longitudinal associations between PIU, self-esteem, and depressive symptoms. The mean age of participants was 13.6 (1.5) years at baseline. The final results observed significant within-time associations between PIU, self-esteem, and depressive symptoms at each time point. PIU and low level of self-esteem could predict subsequent depressive symptoms among adolescents, and depressive symptoms were also associated with subsequent PIU and self-esteem. Both PIU and self-esteem show bidirectional predictions with depressive symptoms among Chinese adolescents. Schools and parents should give more attention to adolescents prone to developing depressive symptoms and more social support to reduce their negative emotions. Health-related professionals should incorporate practical knowledge and skills into the education of adolescents to help them better control Internet use, attenuating the risk of future depressive symptoms.

The Impact of Online Game Addiction on Adolescent Mental Health: A Systematic Review and Meta-analysis

Abstract: Introduction: The World Health Organization (WHO) in 2019 determined that Internet Gaming Disorders (IGD) were included as mental health disorders. Among adolescents, excessive online gaming has become a lifestyle and is associated with psychological symptoms (psychopathological symptoms and life satisfaction), social health (social interactions) and physical health (general health and body mass index). The IGD has now become a problem all over the world.   AIM: This study aims to analyze the impact of online game addiction on adolescents using the Preferred Reporting Items for Systematic Reviews (PRISMA) approach.   MATERIALS AND METHODS: Subjects were searched extensively from the Pubmed, Sage, Science Direct, and Scopus databases. The search used the keywords "online game addiction", "mental health", and "youth". The inclusive criteria for the included  literature in this study  were as follow; the literature had to be sourced from journal article, written in English, available in full text, the published between  2011-2021, and the age of the adolescent subject should be 13-18 years. We identified 81 articles of which 20 were deemed relevant for this systematic review.   RESULTS: This review study shows that problematic online gaming behavior has a strong negative correlation with various subjective health outcomes.   CONCLUSION: Early relevant prevention for  adolescents from the IGD is the appropriate use of  internet/ gadgets as the only option to avoid or to reduce the symptoms of internet addiction and online games.   Keywords : Online game addiction; Mental health; Adolescents; Good Health and Wellbeing

Ecological Predictors and Trajectory of Internet Addiction from Childhood through Adolescence: A Nationally Representative Longitudinal Study

We examined multidimensional factors within four systems (individual, family, school, and community) that influence internet addiction across time among children through adolescence in Taiwan. We hypothesize that internet addiction increases from childhood to adolescence and that resilience, child neglect, positive school experiences, and community violence are significant predictors at baseline and of the rate of change across time. Based on stratified random sampling, a valid sample size of 6233 Taiwanese children participated in our study, which we began in 2014 and then followed this sample in 2016 and 2018 using repeated measures. We used hierarchical linear modeling to model changes in internet addiction across time (with equal two-year intervals between assessments) and the associations between the predictors and internet addiction over time. The results show that internet addiction increases from childhood to adolescence. After controlling for gender, we found that resilience and positive school experiences predict less internet addiction, whereas neglect and community violence predict greater internet addiction. Over time, greater resilience predicts a decreasing trajectory of internet addiction, whereas greater neglect and community violence predict a slower increasing trajectory and positive school experiences predict a faster-increasing trajectory. A holistic approach can help children cope with internet addiction.