Longitudinal relationship between problematic internet use with loneliness during and after COVID-19 social restrictions: Short title: Internet use and loneliness

Risk perception of COVID-19, depressive symptoms and Internet addiction among undergraduates: a longitudinal study

Background

The COVID-19 pandemic has caused serious negative psychological effects worldwide, relatively little research has been performed on the potential enduring effects of COVID-19 on people's emotional health and Internet addiction. This study was to examine the longitudinal associations between risk perception of COVID-19, depressive symptoms, and Internet addiction among Chinese undergraduates.

Methods

We conducted a two-wave longitudinal survey by convenience sampling, a total of 1,153 Chinese undergraduate students completed questionnaires measuring their COVID-19 risk perception and post-traumatic growth (PTG) in December 2022 (T1) via an online survey. Subsequently, 1,008 of the T1 participants (87.42%) completed the depressive symptoms scale and Internet addiction scale 6 months later, in June 2023 (T2).

Results

(1) Risk perception of COVID-19 was significantly and positively predicted depressive symptoms and Internet addiction 6 months later; (2) Depressive symptoms played a mediating role between risk perceptions and Internet addiction; (3) PTG moderated the first-stage link between risk perception and Internet addiction, and this relationship was more robust for low PTG than for high PTG.

Conclusion

These findings advance our understanding of the relationship and mechanisms between risk perception of COVID-19 and Internet addiction, and further support developing interventions to strengthen PTG for mitigating negative outcomes during major crises.

Relationship between loneliness and internet addiction: a meta-analysis

BACKGROUND

In the digital age, the Internet has become integrated into all aspects of people's work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size.

METHODS

This study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction.

RESULTS

A literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar's rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291, p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship.

CONCLUSIONS

The study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation's strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).

Bidirectional associations between loneliness and problematic internet use: A meta-analytic review of longitudinal studies

BACKGROUND

Loneliness and problematic Internet use (PIU) are both major public health concerns around the world. These two constructs have long been linked, but there is conflicting evidence regarding the temporal nature of the loneliness-PIU relationship.

METHOD

We searched 8 databases to identify studies examining longitudinal associations between loneliness and PIU published on or before August 2023. From the 316 articles identified, 26 studies were included with a total of 23,382 participants.

RESULTS

Moderate, positive, and significant prospective pathways were found from loneliness to PIU (r = 0.287, p < 0.001, 95 % CI [0.241, 0.331]), and from PIU to loneliness (r = 0.255, p < 0.001, 95 % CI [0.205, 0.303]). Moderator analyses suggested that the association of loneliness with PIU was stronger in samples from Eastern countries, with more males, more young adults, less time passed, and in more recent years. The association of PIU with loneliness was stronger in samples from Eastern countries, with more males, more young adults, and in more recent years.

CONCLUSIONS

This meta-analytic review provided the first estimation for the overall bidirectional longitudinal associations between loneliness and PIU. A deeper comprehension of the relations has implications for loneliness and PIU intervention programs, where interventions targeting both constructs might be fruitfully applied.

Problematic Internet use and attitudes towards persons with disabilities - cross-sectional research among Polish students

BACKGROUND

Problematic Internet use (PIU) can have detrimental effects on physical, emotional, psychological, and social functioning. Besides well-described PIU correlations in psychological domains such as personality traits, or life satisfaction, and self-assessment, the social aspect of PIU risk also appeared to be important. This study aimed to investigate the association between PIU and attitudes towards persons with disabilities.

METHODS

A total of 595 Polish students aged 18-29 participated in this research by completing the Internet Addiction Test, Multidimensional Attitudes Scale Towards Persons With Disabilities, and personal information form.

RESULTS

The findings revealed that 30.6% of the respondents were at high risk for PIU. Moreover, heightened levels of PIU were more prevalent among male participants and students in technical fields of study than in those in medical and social fields of study. Increased PIU was also associated with more negative attitudes towards persons with disabilities in general and in the domains of emotions and behaviours. Additionally, prior personal contact with individuals with disabilities was related to both PIU rates and attitudes towards persons with disabilities in the domain of emotions and beliefs.

CONCLUSIONS

This study highlights the prevalence of PIU among Polish students and emphasizes the need for preventive measures, particularly targeting male students and those in technical fields of study. The results indicate a relationship between PIU and attitudes towards individuals with disabilities. Further research is required to determine the direction of the relationship. It is recommended that educational programs provide opportunities for interaction with individuals with disabilities to promote understanding and acceptance.

Risk factors for poor progression of addictive internet use across different COVID-19 periods in China

BACKGROUND AND OBJECTIVES

Addictive behaviors are serious factors for mental health and usually increase during public crises. We identified the vulnerable characteristics for bad prognosis of addictive internet use across different periods of the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

Self-reported questionnaires were delivered in three waves through jdh.com during the outbreak (n = 17,960), remission (n = 15,666), and dynamic zero (n = 12,158) periods of COVID-19 pandemic in China. Internet addiction degree was assessed using the Internet Addiction Test. The different progression groups were divided using a latent class growth model among 1679 longitudinal participants. Risk factors for bad progression were identified by two-step logistic regression.

RESULTS

A total of 40.16% of participants reported an increase in the addictive degree of internet use compared with prepandemic. Across different COVID-19 periods, the overall trend of addictive internet use was downward among general Chinese study participants (Mslope = -1.56). Childhood traumatic experiences, deterioration of physical health, depression, and anxiety during remission and dynamic periods were the main risk factors for the bad progression of pandemic-induced addictive internet use.

DISCUSSION AND CONCLUSIONS

Addictive internet use was remitted following relaxed control policies during the COVID-19 pandemic. Negative childhood experiences and bad mental status during the recovery period were harmful to coping with pandemic-related addictive internet use.

SCIENTIFIC SIGNIFICANCE

Our findings profiled the general trend of addictive internet use and the vulnerable characteristics of its bad progression across different periods of the first wave of COVID-19 pandemic in China. Our findings provide valuable insights for preventing the long-term adverse effects of negative public events on Internet addiction.