Prevalence of problematic internet use disorder and associated risk factors and complications among Iranian university students: a national survey

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.

Growing propensity of internet addiction among Asian college students: meta-analysis of pooled prevalence from 39 studies with over 50,000 participants

OBJECTIVES

Rapid internet penetration and technological advancements have facilitated accessibility to internet-enabled devices globally. Since Asia lacks comprehensive data on internet addiction among college students, this review aims to estimate its pooled prevalence.

STUDY DESIGN

This was a systematic review and meta-analysis.

METHODS

Searches were conducted in PubMed, Scopus, CINAHL, and MEDLINE from their inception through August 2022 using terms appropriate to internet addiction and Asian countries/territorial for publications in English peer-reviewed journals. The studies included those done on current college students and provided unambiguous indicators of the threshold of internet addiction. The pooled prevalence was calculated through a random-effects meta-analysis by RStudio software, and I2 statistic was used to assess heterogeneity. The Joanna Briggs Institute critical appraisal checklist was used for quality assessment.

RESULTS

Overall, between 2007 and 2021, 39 papers comprising 45 effect sizes and totaling 58,058 participants met the inclusion criteria. The pooled prevalence of internet addiction among Asian college students was 24.3% (95% confidence interval: 19.8%-29.5%, Q = 6234, df = 44, τ2 = 0.79, I2 = 99.29%), and strikingly, this percentage increased over time. A high degree of heterogeneity was seen, and no publication bias was found.

CONCLUSIONS

To our knowledge, this is the first comprehensive review report on Asian college students, which found that one-fifth suffer from internet addiction. The findings emphasize the significance of multidisciplinary prevention and management strategies to mitigate the harmful effects of internet addiction. Further research is warranted to develop a standardized diagnostic tool for a more precise estimation of internet addiction among this population.

Social anxiety and suicidal ideation among middle-school students in China: a mediation model of internet addiction

Background

Suicide is a fatal public health issue for adolescents, and it is of great significance to explore the precursors of suicidal behaviors, especially suicidal ideation. However, the relationship between social anxiety and suicidal ideation and its mechanism are still unclear. The study aims to examine the association between social anxiety and suicidal ideation and the mediating effect through Internet addiction.

Methods

A total of 2,278 middle-school students aged 12 to 16 years were recruited through a multistage cluster sampling method in this cross-sectional study. Logistical regression analysis and structural equation modeling (SEM) were conducted to examine the direct and indirect effects of social anxiety.

Results

During the past year, 262 (11.50%) participants reported suicidal ideation. Females had a higher prevalence of suicidal ideation than males (12.9% vs. 10.0%, p = 0.034), and urban adolescents reported a higher prevalence than their rural counterparts (13.4% vs. 9.6%, p = 0.006). In the total sample, social anxiety and Internet addiction were independently associated with suicidal ideation (p < 0.05). In the subgroup analysis, the association between social anxiety and suicidal ideation was significant only among rural females and urban males (p < 0.05). SEM demonstrated that social anxiety had direct and indirect effects on suicidal ideation, and Internet addiction partially mediated the relationship, with a mediating ratio of 30.53%. The partial mediating effect was also significant only in rural females and urban males.

Conclusion

Adolescents may overuse the Internet to cope with social anxiety and further have suicidal ideation. Limiting Internet use and improving interpersonal skills in real life may be efficient for suicide prevention. In addition, targeted interventions should be tailored by different sexes across urban and rural regions.

Validations of the Farsi versions of the depressive symptom inventory suicidality subscale (F-DSI-SS) and suicide rumination scale (F-SRS) among Iranian college students

INTRODUCTION

Suicidal thoughts are relatively common among college students in Iran. However, measures frequently used to assess suicidality or specific aspects of suicidal ideation in the United States have yet to be validated in Iran. Thus, the present study validated Farsi versions of the Depressive Symptom Inventory Suicidality Subscale (F-DSI-SS) and Suicide Rumination Scale (F-SRS) among Iranian college students.

METHODS

College students (N = 1043; 88.1% women) completed the F-DSI-SS. Forty-six percent (n = 481) of participants reported the presence of suicidal thoughts and were eligible to fill out the F-SRS. Analyses focused on validating the factor structure, construct, and convergent validity of the F-DSI-SS and F-SRS among college students, as well as testing measurement invariance by gender of the F-DSI-SS.

RESULTS

Confirmatory factor analysis (CFA) indicated that the F-DSI-SS and F-SRS had good fit to the data and each displayed a one-factor structure. Furthermore, the F-DSI-SS showed strong measurement invariance across genders. Internal consistency of the F-DSI-SS and F-SRS was good. Lastly, the F-DSI-SS and F-SRS's items and their total scores were intercorrelated and demonstrated good convergent validity.

CONCLUSION

Findings suggest that the F-DSI-SS and F-SRS will enable researchers to examine suicidal thoughts and suicide-specific rumination in Iran.

Can substance abuse media literacy increase prediction of drug use in students?

Objective

The present study aimed to determine the predictors of drug use among students based on the Extended Prototype willingness model (EPWM).

Methods

This cross-sectional study was performed at Hamadan universities. The participants were selected via multi-stage sampling. Finally, out of 721 students participated. The questionnaire consisted of four sections: (a) socio-demographic characteristics, (b) Questionnaire about the prototype willingness model constructs, (c) Questionnaire about the status of drug use behavior, (d) Substance Abuse Media Literacy (SAML) scale. Data were analyzed using a structural equations partial least squares confirmatory composite approach and SPSS-23.

Results

The mean age of students was of 23.47 ± 4.14 years. Based on results, behavioral willingness (β = 0.420, t-value = 9.010, p < 0.001) and behavioral intention (β = 0.291, t-value = 6.957, p < 0.001) significantly predicted drug use. The presented results of analysis, 66% of the variance of the drug use, 62% of the variable of the behavioral willingness, and 56% of the behavioral intention could be explained by the EPWM.

Conclusion

The present study demonstrated that EPWM could predict drug use in students. Therefore, designing and implementing educational and promotional intervention programs to reduce behavioral willingness and increase students’ skills in substance abuse media literacy is necessary to prevent drug use behavior.

Prevalence and Factors Associated with Suicidal Ideation Among University Students in Bangladesh

This study aimed to determine the prevalence of and factors associated with suicidal ideation among university students in Bangladesh. We collected cross-sectional data from 407 students aged between 18 and 27 years at Jahangirnagar University (Dhaka, Bangladesh), using a convenience sampling technique. Of the total sample, 13.8% reported having suicidal ideation during the past 12 months. In multiple logistic regression analysis, being female, being a fifth-year student, lower socioeconomic status, exposure to traumatic events, family suicide history, and depression were associated with suicidal ideation. The findings emphasize the need for appropriate support services for university students with a focus on mental health wellbeing and suicide prevention.

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 use and health in higher education students: a scoping review

The amount of time spent online has increased over the last decade among higher education students. Students engage in online activities related to studies, work, leisure, entertainment and electronic services (e-services) use. The Internet is also used for health-related matters. The increase in the use of the Internet has influenced students' health, especially mental and physical health and well-being. This scoping review scrutinizes the literature between 2015 and 2020 (N = 55) on the association between Internet use and health in higher education students. A methodological framework, outlined by Arksey and O'Malley, was applied to conduct this review. Systematic searches were carried out in the CINAHL, PubMed and Scopus databases and in the available grey literature. For the data, a thematic analysis by Braun and Clarke was utilized. Two major themes of 'Health-promoting Internet use' and 'Health-threatening Internet use' emerged and are described in this review.

A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students

Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of University students. A total of 144 participants (76 males, mean age = 23.03 years ± 2.83) were separated into three groups: those presenting with PIU (18 females, Mean age = 22.27 years), those presenting with CUD (22 female, Mean age = 22.73 years), and a control group (28 female, Mean age = 24.04 years). Participants completed the Internet Abusive Use Questionnaire (IAUQ), the Severity of Dependence Scale (SDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Barratt Impulsiveness Scale-11 (BIS-11), the Multidimensional Distress Tolerance Scale (MDTS), the Emotion Regulation Questionnaire (ERQ), the Metacognitions Questionnaire-30 (MCQ-30), and the Repetitive Thinking Questionnaire-10 (RTQ-10). The classification analysis results showed that 68.8% of the control group, 70.8% of the PIU group, and 81.3% of the CUD group were correctly classified in their respective groups. In addition, the results of the discriminant function analysis showed that there was a significant difference between members of the PIU and CUD groups in the degree of family support (0.45), significant other (0.33), tolerance of physical discomfort (0.30), reappraisal (0.42), and cognitive confidence (0.35). The findings provide evidence that specific psychosocial predictors can discriminate PIU from CUD.

Social Media Use and Sleep Disturbance among Adolescents: A Cross-Sectional Study

Objective: Recently, social media use has become prevalent in the daily lives of many adolescents. This study was performed to address adolescents' sleep quality and depression in relation to social media use. Method : This cross-sectional cluster-sampling study was directed on 576 high school students in 2019 in Hamadan, Iran. Three standard self-reported questionnaires were used for recording sleep patterns (Pittsburgh Sleep Questionnaire Index (PSQI)), depression (Beck), and Electronic Media Use. Data was analyzed using SPSS. P-values less than 0.05 were considered as being significant. Results: Among the adolescents 290 (50.3%) were female and the age median was 17. The average time of all Smart devices used was 7.5±4.4 hours per day. Among all students 62.3 % (359) said that they had their cell phone on in their bedroom when they sleep. In boys, the amount of social media use was significantly more than girls and poor sleep quality had a statically significant relationship with social media use (P-Value = 0.02). Additionally, there was a reverse correlation between the average use of electronic devices and sleep duration (Spearman's rho = 0.17; P-Value = 0.03), and a direct correlation between the average use in social media and depression (Spearman's rho = 0.171; P-Value < 0.001). Conclusion: In this important age group a high level of electronic devices use and its relationship with sleep quality, daily dysfunction, sleep duration and depression is worthy of issue awareness among health managers, parents and teachers for providing interventional programs, based on standard updated guidelines, in order to reduce the problem and familiarize adolescents and their parents, at home or school, with restrictions on using devices to view and participate in social media.

Mental health and internet use by university students: coping strategies in the context of COVID-19

The aim of this study was to estimate the prevalence of Common Mental Disorders (CMD) among university students and analyze the relation between disorders and internet use and the use of coping strategies in the face of social isolation during the COVID-19 pandemic. We conducted a quantitative cross-sectional study using a non-probability sample of 275 students. Data was collected online using the Self-Reporting Questionnaire, Problematic Internet Use Scale and a coping strategies inventory. We conducted a descriptive and inferential analysis of the data and multiple linear regression was performed to determine the variables that best explained the variation in the problematic internet use. Prevalence of CMD was 58.5% and the presence of CMD was positively correlated with frequency of internet use and the use of avoidant coping strategies, based on confrontation, the search for social support and acceptance of responsibility (p<0.05). The presence of CMD and the use of confrontation coping strategies were the variables that best explained problematic internet use (R2=0.33%; p<0.00). High levels of digital socialization should be taken into account in mental health care actions aimed at university students in the context of COVID-19.

Prevalence and associated factors of Internet addiction among undergraduate students at Al-Beheira Governorate, Egypt

OBJECTIVES

The study aimed to identify the prevalence and risk factors associated with Internet addiction (IA) among undergraduate students.

METHODS

In total, 608 undergraduate students aged 18-24 years were randomly included in a population-based cross-sectional study conducted during June-August 2018.

RESULTS

The prevalence rate of IA was (47.5%) with moderate and severe IA (35.5% and 12.0%, respectively). In multivariate logistic regression analysis, sociodemographic variables (age, gender, and residence) Internet use pattern factors (Internet use for entertainment, games, and communication purposes, spending more than 4 h per day using the Internet, Internet access at home, and smartphone use), lifestyle variables (lack of physical activity and sleeping less than 6 h daily) were found to be independently associated with Internet addiction.

CONCLUSIONS

According to the results of this the study around 50% of undergraduate students are at risk for developing addiction to the Internet. Internet addiction was found to be associated with lifestyle and behavior factors.