Prevalence and associated factors of internet addiction among undergraduate university students in Ethiopia: a community university-based cross-sectional study

Factors associated with problematic internet use among University of Gondar undergraduate students, Northwest Ethiopia: Structural equation modeling

BACKGROUND

For young adults and adolescents, excessive internet use has become a serious public health concern due to its negative impact on their health. It has been associated with detrimental effects on both physical and mental health. Negative academic outcomes were observed in the students, including missing classes, lower grades, and academic dismissal. Therefore, the purpose of the current study was to identify factors associated with PIU among undergraduate students at the University of Gondar.

METHOD

A cross-sectional study was conducted at the University of Gondar among 1514 undergraduate students from June 1-20, 2022. The study participants were selected using a stratified simple random selection procedure. Using structural equation modeling, the degree of relationship was ascertained. A p-value of less than 0.05 and an adjusted regression coefficient with a 95% confidence interval (CI) were used to interpret the data.

RESULTS

In our study, being from non-health departments [β = 0.11, 95% CI: 0.037, 0.181], current alcohol use [β = 0.12, 95% CI: 0.061, 0.187], depressive symptoms [β = 0.23, 95% CI: 0.175, 0.291], insomnia symptoms [β = 0.12, 95% CI: 0.060, 0.196], and ADHD symptoms [β = 0.11, 95% CI: 0.049, 0.166] had a significant positive effect on PIU, while having a history of head injury had a significant negative effect [β = -0.12, 95% CI: -0.226, -0.021] on PIU.

CONCLUSION AND RECOMMENDATION

Factors such as current alcohol use, non-health department type, depressive symptoms, insomnia, and ADHD symptoms were positively associated with PIU. However, a history of head injuries was negatively associated with PIU. Therefore, strategies aimed at the early identification of PIU may lead to an improvement in the psychosocial health of university students.

[The mediating role of social media addiction and sleep quality in the association between social media usage and depressive symptoms in university students]

Increase in time spent on social media and its association with depressive symptoms, especially among young adults, has generated the need to understand how this association occurs in order to support the development of policies to reduce harm and complications. In view of this fact, this study aimed to assess the mediating effect of social media addiction and sleep quality on the association between time spent on social media and depressive symptoms in Brazilian university students. This is a cross-sectional study conducted with 2,823 university students, who provided information regarding time spent on social media, social media addiction, depressive symptoms and sleep quality. The mediation analysis, adjusted for confounding factors, was performed using the PROCESS macro for SPSS to obtain the total (c), direct (c'), and indirect effects (EI1, EI2, and EI3). The results identified an association between time spent on social media and depressive symptoms, mediated by social media addiction (EI1 = 20%) and sleep quality (EI1 = 40%). These findings help expand knowledge about the mechanisms that mutually influence the relationship between time spent on social media and depressive symptoms, supporting the adoption of strategies to reduce harm resulting from excessive social media use.

Fatigue, Internet Addiction and Symptoms of Long COVID-A Cross-Sectional Study of Polish Students

Introduction: Fatigue is the most persistent symptom in patients with long COVID. Moreover, Internet addiction itself has become a pandemic long-term effect. The aim of this study was to investigate the degree of fatigue and Internet addiction in a group of students with COVID-19 and to determine the relationship between fatigue and addiction in students with and without long COVID symptoms. Material and methods: A cross-sectional study was conducted among 402 Polish students aged 19-26. The 183 students who had COVID-19 signaled the presence of long COVID symptoms, which corresponded to 45.5% of the surveyed group. The Modified Fatigue Impact Scale was used to assess the level of fatigue, and the Kimberly Young questionnaire was used to assess the level of Internet addiction. Results: 19.7% (95% c.i.: 15.9-23.9%) of the students surveyed had a moderate level of Internet dependence (Internet addiction measure value of 50 points or more). Most of them did not complain of high levels of fatigue. Higher levels of dependence and fatigue were observed in subjects with long COVID symptoms (MFIS mean value was 26.5 in this group vs. 17.7 in the others; p = 0.0000 ***). The higher the respondents' level of dependence, the more they tended to feel tired (correlations were stronger in those with long COVID symptoms: rS = 0.23; p = 0.0017 **). Conclusions: In view of the results obtained, the study presented here has the potential to contribute to the international debate on the long-term health consequences of the COVID-19 pandemic and strategies to address them. The study provides data that may be useful in the development of educational and health policies that target the psychophysical well-being of patients with long COVID symptoms. This process should be considered as a long-term endeavor.

Effectiveness of a web-based group intervention for internet addiction in university students

The phenomenon of Internet addiction has been systematically addressed with numerous studies highlighting its association with deficits in self-regulation. Despite the extensive literature elucidating the adverse effects of Internet addiction on university students, the availability of relevant interventions has remained constrained. The current study aimed at evaluating a web-based, group intervention, which aimed to prevent Internet addiction and enhance self-regulation. The sample consisted of 47 undergraduate and postgraduate university students (Ν = 47, Mage=21, SD = 3), who were divided into an intervention (n = 24) and a control group (n = 23). The participants were asked to complete a) the Internet Addiction Test (Young, 1998), and b) the Self-Regulation Questionnaire (Brown et al., 1999), prior to the commencement of the intervention, after its conclusion, and one and a half months after the intervention. The web-based intervention consisted of 6 sessions, over a two-week period. Results indicated an improvement of self-regulation and Internet addiction levels for the intervention group, compared to the control group. These results were maintained at the one and a half months follow-up. Implications for designing and implementing web-based group interventions for Internet addiction are discussed.

The Lived Experiences of Individuals and Coping Strategies in the Context of Internet Gaming Disorder: A Qualitative Study Within Higher Education Setting in Uganda

Background

Internet Gaming Disorder (IGD), recognized as a mental disorder in both the Diagnostic and Statistical Manual (DSM-5) and International Classification of Diseases (ICD-11), poses significant threats to physical, social, and mental well-being. This study aims to delve into the experiences of individuals grappling with IGD.

Methods and Materials

The study employed an interpretive phenomenology, conducting interviews with 10 graduate students at Makerere University. Participants were purposefully sampled until data saturation was achieved during interviews, which took place between May and July 2023. An interview guide facilitated data collection (Supplementary File 1), and thematic analysis was manually applied for data interpretation, utilizing intuition and imaginative approaches.

Results

The findings revealed that the majority of participants started gaming during childhood, starting with offline games. Exposure to gadgets and games, idle time, and stress emerged as key triggers for IGD. Participants reported experiencing sleep deficits, deteriorating interpersonal relationships, declining job performance, unhealthy eating habits, academic challenges, and wastage of money and time. The study also identified strategies employed by participants to mitigate their gaming behaviors, such as refraining from purchasing data, seeking support from friends, and uninstalling the game app, although relapses were common.

Conclusion

The study highlights a global pattern of early initiation into gaming, emphasizing the need for early intervention and preventive measures. Factors such as easy accessibility and affordability of gaming platforms, idleness, and stress play significant roles in motivating internet gaming, contributing to a higher prevalence among the studied population. The research underscores the adverse effects of IGD on students, affecting academic performance, interpersonal relationships, and job performance. Notably, participants demonstrate agency in addressing IGD through practical coping strategies, including controlling data access, seeking social support, and uninstalling games. These coping mechanisms provide valuable insights into the complex nature of addressing IGD and form a basis for developing targeted interventions and support systems within the higher education setting in Uganda.

Prevalence of Internet Addiction and Its Associated Risk Factors Among Medical Students in Sudan: A Cross-Sectional Study

Background Internet addiction has been studied extensively worldwide and shown to have adverse social, psychological, and functional consequences. It has become a global health issue, particularly among young adults. Unfortunately, few studies have been conducted among medical students in Sudan. This study aimed to measure the prevalence of internet addiction and determine its associated risk factors among medical students in Sudan. Methods This cross-sectional study was conducted among medical students using a systematic sampling technique. An online structured questionnaire was used, which included sociodemographic data and the Internet Addiction Test (IAT) to assess the presence and severity of internet addiction, as well as the Kessler Questionnaire to assess psychological distress. Results Among the 307 medical students who participated in this study, 63.8% (n=196) were female. The majority 78.5% (n=242) were aged 18-22 years, and the prevalence of internet addiction was 75.5% (n=232). The addiction levels were as follows: mild, 39.7% (n=122); moderate, 33.2% (n=102); and severe, 2.6% (n=8). Multivariate regression analysis revealed that being a female medical student was associated with a 1.9 times higher risk of internet addiction (adjusted odds ratio (AOR) = 1.87, p = 0.033). Psychological distress was associated with a 6.368-fold higher risk of internet addiction compared to non-distressed students (AOR = 6.368, p < 0.001). Additionally, students in the clinical years had a lower risk of internet addiction, specifically in the fourth and fifth years (AOR = 0.325, p = 0.010; AOR = 0.398, p = 0.043, respectively). Conclusions This study found a high prevalence of internet addiction among medical students at the National University, Khartoum, Sudan, which was strongly associated with mental distress. Effective awareness programs, potentially initiated by educational authorities, are required to educate students on limiting excessive internet usage and addressing associated risk factors. Future research should include longitudinal and multi-university studies to obtain more generalizable results and to investigate the relationship between internet addiction and mental distress more robustly.

Validation of the Amharic version of Internet Addiction Test-20: a cross-sectional study

Background

Internet Addiction is defined as excessive internet use or poorly controlled preoccupations, impulses, or behaviors related to computer use and internet access that cause impairment or suffering. It had devastating effect on people lives, families, productivity, academic performance and rarely engaging in criminal acts like alcohol use, drug addiction, or compulsive gambling. This study aimed to investigate the psychometric properties of the Amharic version of Internet Addiction Test-20 among Addis Ababa University, College of Health Sciences medical students, Addis Ababa, Ethiopia.

Methods

A cross sectional study was carried out among 410 medical students using a convenience sampling method after stratifying them based on their year level. SPSS Version 23 was used to do Pearson's correlation coefficient to determine the convergent validity of Amharic version of IAT. We computed correlation coefficient between the aggregate scores of IAT-20 and the scores for depressive symptoms, problematic substance use, and other characteristics of participants which was assessed using Patient health questionnaire-9 (PHQ-9), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and questionnaire developed to assess demographic and internet use related characteristics, respectively. AMOS 23 software was used to conduct confirmatory factor analysis (CFA) to evaluate the construct validity of Amharic version of IAT. Test-retest reliability was also determined with 2 weeks interval (n = 51).

Results

The data confirmed a two-factor structure. Normed Fit Index (NFI) = 0.89, Tucker Lewis Index (TLI) = 0.91 and Comparative Fit Index (CFI) = 0.92, Root Mean Square Error Approximation (RMSEA) = 0.07, and Standardized Root Mean Residual (SRMR) =0.05 indicated a good fit model structure. There was moderate positive correlation between the aggregate scores of IAT-20 and PHQ-9 scores (r = 0.55, p < 0.00), but weak positive correlation between IAT-20 and ASSIST scores (r = 0.14, p < 0.00). IAT-20 was also found to have good internal consistency (Cronbach's alpha = 0.89 for each factor). The test-retest reliability was also good for all items (Intra Class Correlation Coefficient (ICC) > 0.30) except item 16.

Conclusion

We found that the IAT-20 is psychometrically sound and a simple screening test for Internet Addiction. However, it is important to acknowledge that further studies are necessary to replicate these findings on diverse population.

Prevalence of internet addiction and its relationship with insomnia, depression, anxiety, and stress among medical students of a tertiary care medical institute of Eastern India

Background

Internet has become an integral part of our daily lives but as the use of internet is increasing, it is important to be aware of the prevalence, context, and impact of its addiction on sleep and the presence of anxiety, depression, and stress in our lives.

Aim

To assess the prevalence of internet addiction and its association with insomnia, depression, anxiety, and stress among medical students in a tertiary care medical institute in Eastern India.

Materials and Methods

A descriptive cross-sectional questionnaire-based study with a purposive sampling method was conducted among 420 undergraduate medical students of different professional years. Out of 420 medical students, 413 students who gave consent and returned complete performa were taken in the study using a semi-structured performa for sociodemographic details, Young's Internet Addiction Test, Insomnia Severity Index, and Depression Anxiety Stress Scale.

Results

We found 31.2% of students had internet addiction, 24.2% had clinical insomnia, 58.1% had stress, 68.8% had anxiety, and 64.6% had depression. Potential internet addiction was significantly related to average screen time, insomnia, stress, anxiety, and depression.

Conclusions

Internet addiction is prevalent among medical students affecting sleep, anxiety, depression, and stress, which needs urgent preventive strategies.

Internet addiction and associated factors among undergraduate students of Jimma University; Jimma, South West Ethiopia, institutional based cross-sectional study

BACKGROUND

Internet addiction affects cognitive function, has a harmful impact on students' academic performance, and increases their risk of experiencing psychological crises.

OBJECTIVES

Examining the prevalence of internet addiction and its contributing factors among regular undergraduate students at Jimma University in south-west Ethiopia.

METHODS

An institutional-based cross-sectional study was conducted among study participants between August 1 and August 30, 2021. A total of 772 Participants were involved in the study using a multistage random sampling technique. Data was collected using pretested and structured questionnaires with self-administered techniques. The Young Internet Addiction Test (YIAT) was used to measure internet addiction. The data was entered into the computer using Epi Data version 4.6, and then it was exported to the Statistical Package for Social Science (SPSS) version 25 for analysis. The association between each independent variable and the outcome variable was examined using bivariate analysis. Variables with a p-value of less than 0.25 in bivariate analysis were included in the multivariate logistic regression model to determine how each independent variable affected the outcome variable.

RESULT

The prevalence of internet addiction among study participants was 53.6% (95% Confidence Interval (CI)) (49.99%, 57.15%). Findings from multivariate logistic regression analysis suggested a variety of related factors had significant associations with internet addiction. Being dissatisfied with a major study, having a cumulative grade point average of a promoted grade report, using the internet for entertainment, using the internet for Facebook, using the internet for telegram, depression, social anxiety, and poor social support.

CONCLUSION

This study revealed a comparatively high frequency of internet addiction among study participants. Internet addiction has been linked to psychosocial, academic, and purpose-related aspects of internet use. As a result, incorporating stakeholders' efforts to improve the identified variables would be a helpful start toward lowering this high incidence.

Internet Addiction and Physical Activity among Polish and Portuguese Students in the Final Year of the COVID-19 Pandemic

AIM

The purpose of this study was to analyze the level of Internet addiction and physical activity, as well as the relationship between internet addiction and physical activity, among Polish and Portuguese students in the final year of the COVID-19 pandemic.

METHODS

A web-based online survey was conducted among students in Poland and Portugal (398 respondents) aged between 17 and 26 in October 2022. The level of internet addiction was assessed by the Kimberly Young questionnaire in Polish and in Portuguese. The level of physical activity was measured by the international physical activity questionnaire in Polish and in Portuguese.

RESULTS

In the study population, the majority of the respondents were mildly addicted to the internet. The average level of addiction was reported by 9.3-23.5% of the respondents. The average level of internet addiction was higher among Portuguese students and among men. Those who had suffered from COVID-19 (especially more than once) and were more physically active showed a higher tendency towards internet addiction.

CONCLUSIONS

Internet addiction is a problem that has to be monitored and given more attention, particularly among male students. The results presented provide the first statistical insight into the problem of internet addiction among students in both countries and form the basis for further studies. They also highlight the severity of the problem and point to the need for early preventive and protective interventions against problematic internet use. It appears that effective strategies should include promoting the benefits of physical activity.

Internet addiction during the COVID-19 pandemic among adolescents in southeast Nigeria and implications for adolescent care in the post-pandemic era: A cross-sectional study

Objectives

This study aimed to determine the prevalence and associated factors of internet addiction amongst adolescents in Southeast Nigeria during the coronavirus disease 2019 (COVID-19) era.

Methods

A cross-sectional study was carried out in 10 randomly selected secondary schools, 2 (one urban and one rural) each from Abia, Anambra, Ebonyi Enugu and Imo states of southeastern Nigeria between July and August 2021. Data on demographic variables were collected using a structured self-administered questionnaire. Young's Internet Addiction Test was used to assess the extent of internet use. Analysis was done using the IBM SPSS Statistics version 23. The level of significance was set at a p-value of <0.05.

Results

The mean age of the respondents was 16.2 ± 1.8 years and the male: female ratio was 1:1.6. Most of the adolescents (61.1%) used the internet for academic purposes, while 32.8% used it for social interactions and the majority (51.5%) used their phones. The prevalence of internet addiction was 88.1% (24.9% had mild, 59.6% had moderate, while 3.6% had severe addiction) and a good proportion of the respondents (81.1%) perceived addiction as bad. Internet addiction was significantly associated with the respondent's age (p = 0.043), mother's level of education (p = 0.023), family size (p = 0.021), place of residence (p = 0.035), alcohol intake (p = 0.017), smoking (p = 0.015), substance use (p = 0.001) as well as the duration of internet use (p < 0.001). Internet addiction was predicted by the male gender (adjusted odds ratio (AOR): 2.054; confidence interval (CI): 1.200-3.518), early adolescent age group (10-13 years) (AOR: 0.115; C1: 0.015-0.895) as well as the duration of internet use (AOR: 0.301; CI: 0.189-0.479).

Conclusions

The prevalence of internet addiction among adolescents during the COVID-19 pandemic era was high. The predictors of addiction were the male gender, early adolescent age group and duration of internet use.

Psychological distress in adolescents: prevalence and its relation to high-risk behaviors among secondary school students in Mbarara Municipality, Uganda

BACKGROUND

Psychological distress among adolescents negatively affects their academic performance, relationships with family and friends, and ability to participate fully in the community. Stressful life events in low-income countries and risk-taking behavior of adolescents have raised concerns regarding the impact of psychological distress among adolescents. Therefore, the present study estimated the prevalence of psychological distress and examined the high-risk behaviors associated with psychological distress among Ugandan adolescents.

METHODS

A community based cross-sectional study was conducted among secondary school students in Mbarara Municipality, Uganda. Multistage cluster sampling was used to recruit 921 adolescents from 12 schools. Psychological distress was assessed using the 10-item Kessler Psychological Distress Scale (K10). Logistic regression was used with p-value estimating regression coefficient and 95% confidence interval for odds ratio and adjusted odds ratio (AOR).

RESULTS

The prevalence of psychological distress using the K10 was 57%. Logistic regression analyses showed that risky sexual behavior [AOR = 1.52; 95% confidence interval (CI) 1.02-2.28], substance use (AOR = 2.06; 95% CI 1.49-2.84) were associated with psychological distress. Students in mixed schools (comprising both sexes) (AOR = 1.94; 95% CI 1.19-3.15) and adolescents with chronic illness (AOR = 1.68; 95% CI 1.18-2.38) were more likely to report psychological distress.

CONCLUSION

The prevalence of psychological distress among school-going adolescents is high. Risky sexual behavior, substance use as well as chronic illness were associated with psychological distress. In addition, the type of school was significantly associated with psychological distress. The findings suggest the need for policy makers and stakeholders in health and education sectors to institute measures that will address mental health issues among adolescents.

Internet Addiction and Its Associated Factors among Undergraduate Students in Kathmandu, Nepal

Background

Internet has penetrated all processes of life and has become an unavoidable part of people's daily life. This widespread use of the Internet has resulted in significant concerns with regard to problematic Internet behaviours and related conditions. The aim of the study was to find out the prevalence of Internet addiction and its associated factors among undergraduate students in Kathmandu.

Materials and Methods

We included all together 344 undergraduate students from different colleges affiliated to Pokhara University for this cross-sectional study. We used self-administered questionnaire consisting of the Internet Addiction Test scale to assess the Internet addiction. We coded the data, entered it in Epi-Data 3.1 and transferred to IBM SPSS 25 for analysis. We applied bivariate and multivariate logistic regression analysis to identify factors associated with Internet addiction, and p value <0.05 was considered as statistically significantt.

Results

The prevalence of Internet addiction was found to be 29.90% (95% CI: 25.0-34.9). In the chi-squared test relationship with parents, parental control over the Internet use, perceived feeling of loneliness, and time spent on internet per day were found to be statistically associated (p < 0.05) with Internet addiction.

Conclusion

This study revealed nearly one-third of the Internet addiction among undergraduate students. Relationship with parents, parental control over the internet use, perceived loneliness feelings, and time spent on internet per day were significantly associated with Internet addiction along other factors. Therefore, it is important to raise awareness among young generation, parents, and teachers towards risk of Internet addiction.

Prevalence of internet addiction and its impact on selected psychological parameters among UG nursing students

BACKGROUND

Currently, the use of the internet is one of the most important tools, which may lead to negative or positive impact on college or school students. The excessive use of electronic media may lead to change in the mood, an inability to resist internet usage, a diminishing social life, withdrawal symptoms while unengaged, affecting self-esteem, and adverse work or academic consequences. The main objective of this study is to explore Internet use and its impact on selected psychological parameters such as depression and insomnia among undergraduate (UG) nursing students.

MATERIALS AND METHODS

A total of 385 college students selected by purposive sampling technique were included in the study. Young's Internet Addiction Test (YIAT20) for Internet addiction (IA) assessment, and Beck's depression inventory Scale to assess level of depression, and insomnia severity index (ISI) scale to measure insomnia were used.

RESULTS

Among 385 participants, 175 and 210 were male and female, respectively. Demographic variables such as pursuing course, study year, use of Internet/day; and the purpose of Internet use such as social networking, games, entertainment, pornography, and news were significantly associated with IA. Depression and insomnia were found to be correlated with IA.

CONCLUSION

Internet usage more than the normal limit has a profound effect on college or school students, in particular, depression and insomnia. At times, it ends up in problems in their social and family relationship.

The Impact of Mental Health Predictors of Internet Addiction among Pre-Service Teachers in Ghana

This study examined the prevalence of addictive Internet behavior and its links with mental health among pre-service teachers in Ghana. A descriptive, correlational design was employed with 405 pre-service teachers from colleges of education and a public university in Ghana participating in this study. The sample completed a sociodemographic survey about loneliness, life satisfaction, depression, self-esteem, and the Internet addiction scales (abridged form). The results revealed that there was a significant relationship between pre-service teachers' Internet addiction, depression, life satisfaction, and loneliness; however, depression was the least influential factor in addictive Internet use. Additionally, there was a statistically significant nexus between self-esteem, loneliness, depression, and life satisfaction. In addition, all the above-mentioned variables were discovered to explain 56.3% of the absolute variance in addiction to the Internet. Among the variables linked with Internet addiction and its dimensions, loneliness appeared to be the most significant. Institutional coping programs with Internet addiction should be established within the scope of the university administration, supporting pre-service teachers' mental health. Finally, the development of awareness campaigns on the menaces associated with Internet usage and mental health through extracurricular programs is recommended.

Problematic use of the Internet in low- and middle-income countries before and during the COVID-19 pandemic: a scoping review

People from low- and middle-income countries (LMICs) represent large portions of the world population, often occupy less favorable living conditions, and typically suffer greater health risks, yet frequently receive little research and global health attention. The present study reviews emerging evidence on problematic use of the Internet (PUI) in LMICs prior/during the COVID-19 pandemic. Analyzed studies mainly focused on general properties of PUI in university students, problematic gaming in youth, or problematic use of social media in adults, registering higher prevalence estimates, as compared with earlier reports. Research mainly focused on initially affected regions and COVID-exposed populations. Overall, unfavorable circumstances, including poor social support, family relationships, and lifestyle tendencies/habits, may present potential risk for PUI in LMICs, likely exacerbated during the pandemic.

Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review

University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to understand the current state of play by examining the terminology, assessment instruments, prevalence, and predictive factors associated with problematic smartphone use and specific problematic Internet uses in university students. A literature review was conducted according to the PRISMA guidelines using four major databases. A total of 117 studies were included, divided into four groups according to the domain of problem behaviour: problematic smartphone use (n = 67), problematic social media use (n = 39), Internet gaming disorder (n = 9), and problematic online pornography use (n = 2). Variability was found in terminology, assessment tools, and prevalence rates in the four groups. Ten predictors of problematic smartphone use, five predictors of problematic social media use, and one predictor of problematic online gaming were identified. Negative affectivity is found to be a common predictor for all three groups, while social media use, psychological well-being, and Fear of Missing Out are common to problematic smartphone and social media use. Our findings reaffirm the need to reach consistent diagnostic criteria in cyber addictions and allow us to make progress in the investigation of their predictive factors, thus allowing formulation of preventive strategies.

Digital addiction, academic performance, and sleep disturbance among nursing students

PURPOSE

This study aimed to examine the relationship between digital addiction, academic performance, and sleep disturbance among nursing students.

DESIGN AND METHODS

The study was a correlational and cross-sectional design. Four hundred twenty-nine nursing students were enrolled in this study.

FINDINGS

There was a positive significant relationship between the mean Sleep Disturbance (SD) T-scores and Digital Addiction Scale (DAS) scores (r = 0.203, p < 0.01). Furthermore, a positive correlation was found between the mean SD T-scores and DAS subscale scores (p < 0.01) PRACTICE IMPLICATIONS: This study demonstrated that digital addiction had an influence on sleep disturbance. It is recommended that nursing students be provided with training to inform them about negative effects of digital addiction.

Prevalence of internet addiction in Africa: A systematic review and meta-analysis

BACKGROUND AND AIM

In the last two decades, the proportion of internet users has greatly increased worldwide. Data regarding internet addiction (IA) are lacking in Africa compared to other continents. This systematic review and meta-analysis aimed to estimate the pooled prevalence of IA in African countries.

METHODS

We systematically sought relevant articles in PubMed/MEDLINE, EMBASE, PsycINFO and Cochrane database published before September 25, 2021. The risk of bias was assessed using the Joanna Briggs Institute tool, and we estimated the pooled prevalence of IA using a random-effects meta-analytic model. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines.

RESULTS

We included 22 studies (13,365 participants), and collected data from Egypt, Ethiopia, Morocco, Nigeria, South Africa, Tanzania and Tunisia between 2013 and 2021. The mean age of participants ranged from 14.8 to 26.1 years, and the most used tool for IA screening was the Young's 20-item Internet Addiction Test. The pooled prevalence rate of IA was 40.3% (95% CI: 32.2%-48.7%), with substantial heterogeneity. The pooled prevalence for Northern Africa was 44.6% (95% CI: 32.9%-56.7%), significantly higher than the prevalence in sub-Saharan Africa, which was 31.0% (95% CI: 25.2%-37.1%). The risk of bias was moderate for most studies, the certainty was very low, and we found no publication bias.

DISCUSSION AND CONCLUSIONS

Four in every ten individuals was considered to have IA in Africa. Further research with methodological optimization seems needed, especially for IA screening tools and the representativity of some subregions.

Prevalence and determinants of internet addiction among adults during the COVID-19 pandemic in Bangladesh: An online cross-sectional study

Background

Globally, internet use has increased significantly during the COVID-19 pandemic, and internet addiction (IA) has become a severe public health issue. Therefore, this study aimed to assess IA prevalence among adults and identify its determinants during the COVID-19 pandemic in Bangladesh.

Methods

Using a cross-sectional design, this study recruited 608 participants through a self-administered online-based e-questionnaire. Young's internet addiction test (YIAT) of 20 items was used to assess the prevalence of IA among adults in Bangladesh. Bivariate and binary logistic regression analyses explored the factors influencing IA.

Results

The overall prevalence of IA was 29.4% among adults during the COVID-19 pandemic. However, the addiction rate was 34.7% among participants under 20 years old. Tobacco smoking (AOR = 1.88, 95% CI 1.15-3.07) and spending more time on the internet during the COVID-19 pandemic (AOR = 2.06, 95% CI 1.08-3.94) were likely the reasons for IA among Bangladeshi adults. Participants aged over 24 years (AOR = 0.39, 95% CI 0.17-0.91), living in rural areas (AOR = 0.51, 95% CI 0.32-0.81), living away from family (AOR = 0.45, 95% CI 0.26-0.79), attached to physical activity (AOR = 0.35, 95% CI 0.24-0.52), and sleeping less than or equal 6 hours (AOR = 0.63, 95% CI 0.42-0.93) had a lower chance of IA during the COVID-19 pandemic.

Conclusion

This study has shown that the prevalence of IA was comparatively higher among younger participants during the COVID-19 pandemic. Smoking, long-time use of the internet, physical activity status, and sleeping duration were the most significant determinants of IA. Thus, raising awareness among the younger generation is the most important strategy to reduce IA. The findings of this study can be used to support health and educational organizations to design their programs, which will help prevent IA in Bangladesh during the COVID-19 pandemic.

Internet Addiction in Socio-Demographic, Academic, and Psychological Profile of College Students During the COVID-19 Pandemic in the Czech Republic and Slovakia

Internet addiction is a serious problem among young adults that requires increased attention, especially at a time of distance learning during the coronavirus disease 2019 (COVID-19) pandemic. The aim of the study was to assess the relationships between internet addiction and selected socio-demographic, study-related, and psychological characteristics of college students. Internet addiction was measured using the Internet Addiction Test both overall and in its individual subscales (Salience, Excessive Use, Neglect Work, Anticipation, Lack of Control, and Neglect Social Life). The selected characteristics represented (1) socio-demographic profile (gender, age, residence, family), (2) academic profile (housing during the semester, form of study), and (3) psychological profile (depressive symptoms—the Patient Health Questionnaire, stress—the Perceived Stress Scale, anxiety symptoms—the Generalized Anxiety Disorder). Data collection took place during the first wave of the COVID-19 pandemic in 2020 at Czech and Slovak colleges, with 1,422 students from the Czech Republic and 1,677 students from Slovakia participating in the research. The analytical processes were carried out through descriptive analysis, non-parametric difference analysis, and multiple negative binomial regression. Mild internet addiction was found in 387 (27.2%) Czech and 452 (27.0%) Slovak students. Moderate internet addiction was identified in 49 (3.4%) students from the Czech Republic and in 100 (6.0%) students from Slovakia. Two (0.1%) Czech and three (0.2%) Slovak students reported severe internet addiction. Increased likelihood of internet addiction overall, as well as in most individual subscales, was found particularly among male students and students who lived away from home during the semester. Depressive symptoms and stress could also be considered significant predictors in both countries. These results are important for the development of effective strategies and prevention programs, as Internet addiction may be a serious problem in the future, given the current times. When assessing internet addiction among college students, it would also be appropriate to evaluate the individual internet addiction subscales and their specifics.

Personality Traits of Croatian University Students with Internet Addiction

Specific personality traits may predispose individuals to various forms of addictive behaviors. This study aimed to investigate the association between personality traits of university students and Internet addiction (IA). A sample of 1051 university students was recruited from the largest university in Eastern Croatia. A structured anonymous questionnaire that included questions regarding students’ sociodemographic information and Internet usage patterns, the Young Internet Addiction Test and Big Five Inventory served as a research tool. The study revealed that 1.0% of the studied sample expressed severe IA while 24.6% of study participants expressed some signs of addiction. The IA was detected in 576 (80.0%) students who used the Internet mainly for social networking, in 30 (78.9%) students who mainly used it for online gaming, and in 153 (52.2%) students who mainly used it for university assignments (p < 0.001). Higher neuroticism, higher extraversion, and higher openness to new experiences were connected with IA in general (p < 0.001). Higher neuroticism, higher extraversion, and higher openness to new experiences were significantly associated with addictive behavior during social networking (p < 0.001). Higher extraversion and higher openness to new experiences were significantly associated with addictive behavior during Internet usage for university assignments (p = 0.025), while there were no significant associations between specific personality traits and addictive behavior during online gaming (p = 0.059). Personality traits must be taken into account while developing programs and implementing interventions for preventing IA in the university student population.

Assessing the Association Between Internet Addiction Disorder and Health Risk Behaviors Among Adolescents and Young Adults: A Systematic Review and Meta-Analysis

Background

Internet addiction disorder (IAD) is a global issue that has resulted in a slew of physical and emotional consequences. Studies have indicated that health risk behaviors might be the risk factors for IAD. The published literature on the correlation between the two is lacking. Therefore, we conducted a comprehensive analysis to understand better the link between IAD and health risk behaviors among adolescents and young adults.

Methods

We searched ten electronic databases for relevant articles. Data were extracted based on IAD and health risk behaviors ( alcohol, smoking, suicidal, gambling and drug abuse). We calculated odds ratios (ORs), a pooled correlation coefficient (r) and 95% confidence intervals (CIs). A fixed-effect model was applied to summarize the pooled effects. Heterogeneity was examined using I2 statistics and Cochran's Q statistics. All analyses were conducted by using Stata version 15.0.

Results

A total of 16 studies and 61,823 participants were included in this study. Meta-analysis showed that IAD was positively correlated with drinking (r = 0.35; 95% CI 0.32–0.37) and smoking (r = 0.12; 95%CI 0.10–0.15), and was associated with an increased risk of suicidal behavior (OR= 1.95; 95% CI 1.65–2.30), drinking (OR= 1.75; 95% CI 1.65–1.85), and smoking (OR= 1.63; 95% CI 1.54–1.72) among adolescents.

Conclusion

We found significantly increased risks of suicidal behavior, drinking, and smoking in adolescents and young adults with IAD. These findings are important to expand our understanding of IAD and have great guiding significance for preventing health risk behaviors of adolescents and young adults.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021257729, identifier: PROSPERO CRD42021257729.

Internet Addiction and Its Associated Factors Among African High School and University Students: Systematic Review and Meta-Analysis

Introduction

Internet addiction is characterized by excessive and uncontrolled use of the internet affecting everyday life. Adolescents are the primary risk group for internet addiction. Data on internet addiction is lacking in Africa. Thus, this review aimed to determine the pooled prevalence of internet addiction and its associated factors among high school and university students in Africa.

Methods

A comprehensive literature search was conducted using electronic databases (PubMed/MEDLINE, Web of science, Hinari, and Google scholar) to locate potential studies. Heterogeneity between studies was checked using Cochrane Q test statistics and I2 test statistics and small-study effects were checked using Egger's statistical test at a 5% significance level. A sensitivity analysis was performed. A random-effects model was employed to estimate the pooled prevalence and associated factors of internet addiction among students. The primary outcome of measure of this review was the prevalence of internet addiction and the secondary outcome of measures are the factors associated with internet addiction.

Results

A total of 5,562 studies were identified among the five databases. Of these, 28 studies from 10 countries with 14,946 high school and university students were included in this review. The overall pooled prevalence of internet addiction among the students was 34.53% [95% Confidence Interval (CI): 26.83, 42.23, I2 = 99.20%]. Male sex [Pooled Odds Ratio (POR) = 1.92, 95% CI:1.43, 2.57 I2 = 0.00], urban residence (POR = 2.32, 95% CI:1.19, 4.53, I2 = 59.39%), and duration of daily internet use for more than 4 h (POR = 2.25, 95% CI:1.20, 4.21, I2 = 0.00%, were significantly associated with internet addiction among adolescents.

Conclusion

Almost one-third of university and high school students in Africa are addicted to the internet. Male students, those from urban areas, and those who use the internet for more than 4 h per day have higher odds of internet addiction. Thus, we recommend that health planners and policymakers pay attention to the use of the internet and internet addiction in Africa.

Prevalence of Internet Addiction and its Correlates Among Regular Undergraduate Medicine and Health Science Students at Ambo University. Cross-Sectional Study

Introduction:

Internet addiction (IA) is causing academic failure, decreased concentration ability, and a negative affective state. In Ethiopia, studies conducted on IA were limited; therefore, this study aimed to assess its prevalence and risk factors among medicine and health science (MHS) students of Ambo University.

Materials and Methods:

This study was a cross-sectional study and included MHS students of Ambo University from July 15 to August 15, 2021. Data were collected using a self-administered questionnaire after receiving informed consent from study participants. The results were analyzed using the statistical software for social sciences version 24. Bivariate and multivariate logistic regressions were performed to explore the relationship between IA and dependent variables.

Results:

Of the 253 participants who participated in the study, 201 (79%) were found to have an IA. Having one’s own computer, Internet access at home and an email account were 2 times more risky to develop IA compared to their counterparts with AOR = 2.615 (95% CI = 1.118-5.956) with a P value of .022, AOR = 2.154 (95% CI = 1.054-4.405) with a P value of .35 and (=2.154 (95% CI = 1.054-4.405 with a P value of .035 respectively. Additionally, those who use the Internet for news were 2.5 times more likely to develop IA compared to those who do not (AOR = 2.551 (95% CI = 1.225-5.349) with a P-value of .013). The use of the Internet for scientific research and education reduces IA by 0.7 times (AOR = 0.323 (95% CI = 0.120-0.868) with a P value of .025).

Conclusions:

The prevalence of IA was found to be high in this study. Therefore, strategies are needed to minimize the prevalence of this problem.

Brain structures and activity during a working memory task associated with internet addiction tendency in young adults: A large sample study

The structural and functional brain characteristics associated with the excessive use of the internet have attracted substantial research attention in the past decade. In current study, we used voxel-based morphometry (VBM) and multiple regression analysis to assess the relationship between internet addiction tendency (IAT) score and regional gray and white matter volumes (rGMVs and rWMVs) and brain activity during a WM task in a large sample of healthy young adults (n = 1,154, mean age, 20.71 ± 1.78 years). We found a significant positive correlation between IAT score and gray matter volume (GMV) of right supramarginal gyrus (rSMG) and significant negative correlations with white matter volume (WMV) of right temporal lobe (sub-gyral and superior temporal gyrus), right sublobar area (extra-nuclear and lentiform nucleus), right cerebellar anterior lobe, cerebellar tonsil, right frontal lobe (inferior frontal gyrus and sub-gyral areas), and the pons. Also, IAT was significantly and positively correlated with brain activity in the default-mode network (DMN), medial frontal gyrus, medial part of the superior frontal gyrus, and anterior cingulate cortex during a 2-back working memory (WM) task. Moreover, whole-brain analyses of rGMV showed significant effects of interaction between sex and the IAT scores in the area spreading around the left anterior insula and left lentiform. This interaction was moderated by positive correlation in women. These results indicate that IAT is associated with (a) increased GMV in rSMG, which is involved in phonological processing, (b) decreased WMV in areas of frontal, sublobar, and temporal lobes, which are involved in response inhibition, and (c) reduced task-induced deactivation of the DMN, indicative of altered attentional allocation.

Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis

BACKGROUND

The internet is an integral part of everyone's life. College going adolescents are highly vulnerable to the misuse of the internet.

AIMS

To estimate the pooled prevalence of internet addiction (IA) among college students in India.

METHODS

Literature databases (PubMed, Web of Science, Scopus, EMBASE, PsycINFO and Google Scholar) were searched for studies assessing IA using the Young Internet Addiction Test (Y-IAT) among adolescents from India, published in the English language up to December 2020. We included studies from 2010 to 2020 as this is the marked era of momentum in wireless internet connectivity in India. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the fixed-effects model. Publication bias was evaluated using Egger's test and visual inspection of the symmetry in funnel plots.

RESULTS

Fifty studies conducted in 19 states of India estimated the prevalence of IA and the overall prevalence of IA as 19.9% (95% CI: 19.3% to 20.5%) and 40.7% (95% CI: 38.7% to 42.8%) based on the Y-IAT cut-off scores of 50 and 40, respectively. The estimated prevalence of severe IA was significantly higher in the Y-IAT cut-off points of 70 than 80 (12.7% (95% CI: 11.2% to 14.3%) vs 4.6% (95% CI: 4.1% to 5.2%)). The sampling method and quality of included studies had a significant effect on the estimation of prevalence in which studies using non-probability sampling and low risk of bias (total quality score ≥7) reported lower prevalence. The overall quality of evidence was rated as 'moderate' based on the Grading of Recommendations Assessment, Development and Evaluation criteria.

CONCLUSIONS

Our nationally representative data suggest that about 20% to 40% of college students in India are at risk for IA. There is a need for further research in the reconsideration of Y-IAT cut-off points among Indian college students.

PROSPERO REGISTRATION NUMBER

CRD42020219511.

Adaptability and Social Support: Examining Links With Psychological Wellbeing Among UK Students and Non-students

The purpose of this multi-study article was to investigate the roles of adaptability and social support in predicting a variety of psychological outcomes. Data were collected from Year 12 college students (N = 73; Study 1), university students (N = 102; Study 2), and non-studying members of the general public (N = 141; Study 3). Findings showed that, beyond variance attributable to social support, adaptability made a significant independent contribution to psychological wellbeing (life satisfaction, psychological wellbeing, flourishing, and general affect) and psychological distress across all studies. Beyond the effects of adaptability, social support was found to make a significant independent contribution to most wellbeing outcomes (but not psychological distress in university students). In a multi-group analysis comparing predictors of psychological wellbeing in university students and non-studying adults, where the same outcome measures were used (Study 4; N = 243), it was found that adaptability played a stronger role (relative to social support) for university students, whereas social support played a stronger role for non-studying adults. Finally, (contrary to expectations) there was no evidence of an interaction between adaptability and social support predicting psychological outcomes-adaptability and social support operated as independent main effects. These findings demonstrate the importance of adaptability and social support in uniquely predicting psychological wellbeing in different sample groups. It is argued here that these two factors, should be given greater consideration in discussions of psychological wellbeing, and are relevant to psychological wellbeing at different major developmental life stages.