Serial Multiple Mediation of the Correlation Between Internet Addiction and Depression by Social Support and Sleep Quality of College Students During the COVID-19 Epidemic

Jiang, Minmin; Zhao, Ying; Wang, Jing; Hua, Long; Yan, Chen; Yao, Yingshui; Jin, Yuelong

doi:10.30773/pi.2021.0147

Cited by 22 publications

(21 citation statements)

References 23 publications

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“…In this context, problematic Internet use may be a predictor in screening high-risk students for mental health problems ( 30 ). Jiang et al ( 27 ) also revealed that internet addiction was directly related to college students' depression and indirectly predicted students' depression via the mediator of social support and sleep quality. On the other hand, under the mediation of fear of missing out, young people with anxiety are more likely to develop Internet gaming disorder, while young people with depression or stress may be susceptible to other types of Internet use disorders ( 99 ).…”

Section: Discussionmentioning

confidence: 99%

“…The co-occurrence of Internet addiction and anxiety symptoms, depressive symptoms, and stress in students suggests that Internet addiction is positively associated with other mental health problems ( 41 ). The results could be explained by the ongoing pandemic and by the fact that excessive use of the Internet impairs psychological wellbeing, which can be a driver of psychological distress ( 27 – 31 ). Particularly in the context of the COVID-19 pandemic, the Internet has been used as an effective tool to provide distance education.…”

Section: Discussionmentioning

confidence: 99%

“…This scale consisted of 10 items and offered the following responses: (0) never, ( 1 ) almost never, ( 2 ) sometimes, ( 3 ) fairly often, and ( 4 ) very often. The total PSS score was the sum of the coded responses and its ranges indicated low stress (0–13), moderate stress ( 14 – 26 ), and high stress ( 27 – 40 ).…”

Section: Methodsmentioning

confidence: 99%

“…In this context, Lozano-Blasco et al ( 26 ) investigated this issue using a meta-analysis and found that Internet addiction in young adults was high in recent years. Many studies also revealed that problematic Internet usage by students was associated with mental health problems such as depression, anxiety, and stress ( 27 – 31 ). In other words, students with Internet addiction have a high likelihood developing mental health problems ( 32 ).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the same technologies that were useful tools in educating students during the pandemic may be a threatening element in terms of their mental health. This is the reason there is a need to strengthen the monitoring of Internet use among college students during the COVID-19 pandemic ( 27 ).…”

Section: Introductionmentioning

confidence: 99%

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Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Gavurová

Khouri

Ivanková

et al. 2022

Front. Public Health

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Poor mental health is a growing concern among young people during the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to assess the associations of Internet addiction with depressive symptoms, anxiety symptoms, and stress in higher education students during the COVID-19 pandemic, as well as to examine these mental health problems in the context of study-related characteristics. The research sample consisted of 3,099 participants from the Czech Republic (CZ: 1,422) and Slovak Republic (SK: 1,677). The Internet Addiction Test (IAT), the Generalized Anxiety Disorder (GAD-7) scale, the Patient Health Questionnaire for depressive symptoms (PHQ-9), and the Perceived Stress Scale (PSS) were used to measure mental health problems. The analyses also included demographic data (gender and age) and study-related characteristics (form of study, degree of study, field of study, distance between college and home, and housing during the semester). Based on the results of frequency and descriptive analyses, the prevalence of mental health problems was high. The most serious levels of Internet addiction (IAT cut-off point ≥ 50), to which attention should be paid, were found in 3.5% of Czech and 6.2% of Slovak students. Using the standard cut-off point of GAD-7 ≥ 10, 14.1% of Czech and 11.6% of Slovak students were identified with anxiety symptoms. Regarding the PHQ-9 with the cut-off point ≥ 10, 23.4% of Czech and 19.1% of Slovak students had depressive symptoms, which should be addressed. Using the PSS cut-off point ≥ 27, 12.9% of Czech students and 9.1% of Slovak students perceived high stress. The quantile regression analysis showed that Internet addiction was positively associated with anxiety symptoms, depressive symptoms, and stress in all of the analyzed cases (p-value < 0.001). In terms of study-related characteristics, the binomial logistic regression analysis revealed that risk factors for mental health problems in Czech and Slovak students were mainly full-time form of study and living away from home during the semester. Internet addiction, anxiety symptoms, depressive symptoms, and stress are issues that require increased attention, and professionals and policy-makers should implement interventions to effectively prevent and help students with psychological problems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Gavurová

Khouri

Ivanková

et al. 2022

Front. Public Health

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The causalities between learning burnout and internet addiction risk: A moderated-mediation model

Qin

Liu

2023

Soc Psychol Educ

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This study explored how self-control and eudaimonic orientation are associated with learning burnout and internet addiction risk (IAR). Our results demonstrate that learning burnout has a significant and positive impact on IAR. The impulse system and control system play parallel mediating roles in the relationship between learning burnout and IAR. The relationship between learning burnout and IAR is moderated by eudaimonic orientation. Finally, the mediating role of the impulse system on learning burnout and IAR is moderated by eudaimonic orientation. With these findings, our study clarifies the mediating roles of the impulse system and control system in learning burnout and IAR and the moderating effects of hedonic orientation and eudaimonic orientation. Our study not only offers a new perspective for IAR research but also has practical implications for intervening in middle school students’ IAR.

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Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

et al. 2022

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Purpose of Review The COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately. Recent Findings Four databases (PubMed, Scopus, ISI Web of Knowledge, and ProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data. Summary Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.

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Serial Multiple Mediation of the Correlation Between Internet Addiction and Depression by Social Support and Sleep Quality of College Students During the COVID-19 Epidemic

Cited by 22 publications

References 23 publications

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

The causalities between learning burnout and internet addiction risk: A moderated-mediation model

Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis

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