Internet addiction and its correlation with behavioral problems and functional impairments – A cross-sectional study

Social anhedonia affects the trajectory of internet addiction in the college students: A latent growth curve analysis

BACKGROUND/AIM

There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students.

METHODS

A total of 3577 Chinese college freshmen (M_age = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable.

RESULTS

The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (β = 0.468, p < 0.001) and significantly affected the linear slope (β = -0.259, p < 0.05), but not the quadratic slope (β = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA.

CONCLUSIONS

Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.

Problematic Internet Use, Emotional Problems and Quality of Life Among Adolescents

Abstract This study aimed to evaluate the prevalence of Problematic Internet Use (PIU) among adolescents (N = 466) and its possible association with emotional problems and quality of life. Students (Mage = 12.8 years; SD = 1.9) from five public schools in a city in the State of São Paulo participated in this study and completed four instruments: a sociodemographic questionnaire; Internet Addiction Test (IAT); Depression Anxiety Stress Scale (DASS-21) and Pediatric Quality of Life Inventory (PedsQL). No significant differences were detected about the frequency and intensity of symptoms of depression, anxiety, and stress compared to those who did not have problems with the use of the Internet. No differences were observed between the groups in respect of quality of life either. However, those individuals who felt that their internet use impaired their daily activities presented higher average IAT scores and higher levels of stress. These findings indicated that the perception of internet use was the main variable associated with emotional symptoms.

Internet Addiction and Attention in Adolescents: A Systematic Review

Internet addiction (IA) has been explored worldwide and involves some features that might harm social, psychological, and functional aspects. The vulnerability of adolescents might result in some addictive behaviors, and the Internet is one of them. The aim of this systematic review was to identify empirical studies that have been done to explore instruments that have been used to assess IA and to verify what variables and comorbidities are related to IA in adolescents, including executive functions, such as attention. To accomplish our aim, a systematic search was conducted in the following databases: PubMed, Web of Science, and PsycINFO. Some inclusion and exclusion criteria were used to select the studies and 44 in total were analyzed independently. The results showed that the most used instrument to assess IA is the Young's Internet Addiction Test. A few studies have been developed in the Western world, and most of them have analyzed attention bias in attention-deficit/hyperactivity disorder (ADHD) and non-ADHD groups. Furthermore, other variables have been widely explored in the studies, such as depression, sleeping patterns, body weight, aggressiveness, and other addictive substances.

Internet addiction in students from an educational institution in Southern Brazil: prevalence and associated factors

Objective

To evaluate the prevalence of Internet addiction (IA) and its associated factors among students at an Educational Institution in Southern Brazil.

Method

This is a cross-sectional study, targeting a sample of students aged from 14 to 20 years. They were selected by random sampling to be representative of the 4038 students enrolled at the institute at the time. IA was assessed using the Internet Addiction Test (IAT). Screening for anxiety and/or depressive disorders was performed using the Well-Being Index (WHO-5).

Results

The prevalence of IA was 50.8% and the rate was higher among individuals who had screened positive for depressive or anxiety disorders than among those who had not (p = 0.003). There was an association between IA and access to certain types of content, such as gaming (p = 0.010), work and study related content (p = 0.030), and using the internet to access sexual content (p < 0.001).

Conclusion

Further studies are needed to confirm the high prevalence of IA and explore factors associated with it in samples with similar characteristics to ours. The associations between this dependency and positive screening for anxiety and/or depressive disorders and the types of content accessed are an alert to the existence of these important relationships and illustrate the importance of studying them further. Knowledge about these associations provides an opportunity to implement measures for prevention, such as psychoeducation, and to offer adequate treatment.

Findings on the relationship between Internet addiction and psychological symptoms in Brazilian adults

This study evaluated the prevalence of Internet addiction (IA) and its association with negative psychological symptoms in Brazilian adults. A network analysis was conducted to estimate specific variables and their expected influence on IA. In this cross-sectional study, 15,476 adults (M_age  = 37.5, SD = 9.59) completed an open web-based survey. Three questionnaires were used: the Internet Addiction Test (IAT), Depression Anxiety and Stress Scale (DASS-21) and Satisfaction With Life Scale (SWLS). Based on IAT scores, participants were classified as No-Risk user (NRU), Low-Risk user (LRU) or High-Risk user (HRU). We observed that 4.8% of the participants were classified in the HRU group. In addition, their risk for severe symptoms of depression was 10 times higher and, for anxiety, seven times higher than that in the NRU group (p < .001). Time spent using smartphones was also significantly higher in the HRU group (M_hours  = 5.1, p < .001). The main factors associated with IA were depression, gender and anxiety, but the variable "having children" was the most influential in the IA network. These findings suggest that psychiatric symptoms are the main factors associated with IA among the adult population.