Correlation between Internet addiction, depression, anxiety and stress among undergraduate medical students in Azad Kashmir

Suicide Risk Among Medical Students Associated With Loneliness, Burnout, and Depressive Symptoms

Medical students face elevated risks of depression and suicide due to rigorous training demands. However, comparative research between medical and non-medical students is limited, hindering understanding of specific risks. This study compared 337 students (89 medical) on suicide risk, depression, perfectionism, burnout, loneliness, and internet addiction. Medical students showed significantly higher suicide risk, depression, perfectionism, burnout, and loneliness. Regression analysis identified medical student status, depressive symptoms, and loneliness as significant predictors of suicide risk. Mediation analysis revealed loneliness and depressive symptoms mediating the relationship between medical student status and suicide risk. Strategies to address mental health risks among medical students are crucial, including early screening and interventions. However, this study's limitations include self-report measures and a predominantly non-medical student sample. Further research is needed to explore causal relationships and interventions effectively.

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression

There is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%). These responses were utilized for descriptive analysis, correlation analysis, regression analysis, and the development of mediation and moderation models. Alexithymia showed positive correlations with depression and internet addiction, and physical activity was negatively correlated with internet addiction and depression. Internet addiction partially mediated the relationship between alexithymia and depression, while physical activity weakened the association between internet addiction and depression, acting as a moderator. Our findings suggest that excessive Internet engagement may mediate the relationship between alexithymia and depression as an emotional regulatory coping strategy, and that physical activity attenuates the predictive effect of Internet addiction on depression.

The relationship between internet addiction and stress, anxiety, and depression in adolescents in Saudi Arabia

BACKGROUND

There is an increasing rate of Internet addiction among adolescents that may lead to many negative psychological outcomes. This study assessed the relationship between Internet addiction and stress, anxiety, and depression in adolescents in Saudi Arabia.

METHODS

A correlational online survey captured data on Internet use and psychological outcomes from 462 adolescents between March and May 2022. Young's Internet Addiction Scale assessed the degree of Internet addiction. The Depression, Anxiety, and Stress Scale (DASS21) assessed the perceived level of stress, anxiety, and depression. Bivariate and multivariate analyses determined the relationship between Internet addiction and depression, anxiety, and stress.

RESULTS

Sixty-eight percent of adolescents had mild to severe Internet addiction. Sixty percent of the adolescents perceived mild to extremely severe depression, 58% perceived mild to extremely severe anxiety, and 44% perceived mild to extremely severe stress. Adolescents with more Internet addiction scores perceived more stress, anxiety, and depression (p ≤ 0.05).

CONCLUSIONS

The Internet addiction rate is high among adolescents in Saudi Arabia. Adolescents with more Internet addiction scores are prone to perceive higher levels of stress, anxiety, and depression.

APPLICATION TO PRACTICE

Interventional multidisciplinary programs are needed to make adolescents, parents, schoolteachers, and school nurses in Saudi Arabia aware of Internet addiction and methods to reduce the dependence of those adolescents on the Internet. School nurses should provide adolescents and parents with means to reduce their Internet dependence.

Depression and stress are associated with latent profiles of problematic social media use among college students

Background

The previous literature has demonstrated that depression, anxiety, and stress are significant predictors of problematic social media use. However, the manifestation of problematic social media use varies, and the predictive relationship between depression, anxiety, and stress with different subgroups of problematic social media use remains unclear. The aim of this research was to evaluate latent subgroups of problematic social media use among college students and to investigate the impact of depression, anxiety, and stress on these latent subgroups.

Methods

A survey was carried out among college students in China using a cross-sectional approach. A total of 955 participants were included, with a mean age of 19.50 ± 1.22 years. Participants completed questionnaires containing the Bergen Social Media Addiction Scale (BSMAS) and the Depression, Anxiety, and Stress Scale-21 (DASS-21). The study employed latent profile analysis (LPA) to investigate latent subgroups of Chinese college students with problematic social media use, and a robust three-step approach was used to develop predictive regression mixed models of depression, anxiety, and stress on latent subgroups.

Results

Problematic social media use of Chinese college students can be categorized into four latent subgroups, namely, the high-risk group, the moderate-risk with pleasure group, the moderate-risk with compulsion group, and the low-risk group. The regression model showed that there was a significant difference between the high-risk group and the low-risk group on the stress scale. There was a significant difference between the moderate-risk with pleasure group and the moderate-risk with compulsion group on the depression scale.

Conclusion

Problematic social media use is heterogeneous, with depression and stress being potentially key factors influencing problematic social media use. Depression would make college students more likely to be moderate-risk with compulsion problematic social media users than moderate-risk with pleasure problematic social media users, and stress would make college students more likely to be high-risk problematic social media users than low-risk problematic social media users.

Impact of mobile connectivity on students' wellbeing: Detecting learners' depression using machine learning algorithms

Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people's lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.

Internet addiction and its relationship with attention deficit hyperactivity disorder (ADHD) symptoms, anxiety and stress among university students in Malaysia

BACKGROUND AND AIMS

There is growing evidence on the contribution of psychological factors to internet addiction; yet it remains inconsistent and deserves further exploration. The aim of this study was to determine the relationship between the psychological symptoms (Attention Deficit Hyperactivity Disorder (ADHD) symptoms, stress, depression, anxiety and loneliness) and internet addiction (IA) among the university students in Malaysia.

MATERIALS AND METHODS

A total of 480 students from different faculties in a Malaysian public university participated in this study. They were selected by simple random sampling method. They completed self-administered questionnaires including the Malay Version of Internet Addiction Test (MVIAT)) to measure internet addiction and Adult Self-Report Scale (ASRS) Symptom Checklist, Depression Anxiety Stress Scales (DASS) and UCLA Loneliness Scale (Version 3) to assess for ADHD symptoms, depression, anxiety, stress, and loneliness respectively.

RESULTS

The prevalence of IA among university students was 33.33% (n = 160). The respondents' mean age was 21.01 ± 1.29 years old and they were predominantly females (73.1%) and Malays (59.4%). Binary logistic regression showed that gender (p = 0.002; OR = 0.463, CI = 0.284-0.754), ADHD inattention (p = 0.003; OR = 2.063, CI = 1.273-3.345), ADHD hyperactivity (p<0.0001; OR = 2.427, CI = 1.495-3.939), stress (p = 0.048; OR = 1.795, CI = 1.004-3.210) and loneliness (p = 0.022; OR = 1.741, CI = 1.084-2.794) were significantly associated with IA.

CONCLUSION

A third of university students had IA. In addition, we found that those who were at risk of IA were males, with ADHD symptoms of inattention and hyperactivity, who reported stress and loneliness. Preventive strategy to curb internet addiction and its negative sequelae may consider these factors in its development and implementation.

Network structure of mobile phone addiction and anxiety symptoms among rural Chinese adolescents

BACKGROUND

The incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality.

METHODS

From September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality.

RESULTS

In the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality.

CONCLUSION

Failure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety.

Exercise Addiction and Major Depressive Disorder - Clinical Diagnoses and Longitudinal Course

BACKGROUND

People at risk of exercise addiction report increased symptoms of psychopathology. The aim of this study was to clinically assess the lifetime prevalence of depressive disorders in individuals at risk of exercise addiction and to determine whether depressive symptoms tend to precede or follow excessive exercising.

METHODS

Based on the Exercise Dependence Scale-21, a total of 31 individuals categorized at risk of exercise addiction underwent the Structured Clinical Interview for DSM-5 to assess major depressive disorder (MDD).

FINDINGS

The results showed 16 of the 31 participants suffered from MDD. The onset of MMD occurred in 10 participants after excessive exercising and in 5 before excessive exercising. In one participant, the symptom onset was unclear.

CONCLUSION

MDD is far more prevalent in patients with exercise addiction compared to the general population and develops more often after the beginning of exercise addiction. Caution in the use of exercise to treat depression may be warranted.

Associations Between Problematic Internet Use and Mental Health Outcomes of Students: A Meta-analytic Review

The increasing prevalence of problematic internet use has heightened concerns about its adverse impact on internet users' mental health. Despite reviews investigating the associations between problematic internet use and mental health outcomes, there is a lack of understanding of various aspects of students' mental health. This study aimed to bridge this gap by providing a more comprehensive overall picture of this issue through a quantitative synthesis based on three-level random-effects meta-analytic models. In total, 223 studies with a cumulative total of 498,167 participants and 512 effect sizes were included in this synthesis. The results showed that problematic internet use was moderately and positively associated with depressive symptoms, anxiety, loneliness, and other mental health outcomes, and negatively related to subjective well-being. Moderator analyses revealed that several study features (i.e., school grade, region, measure of problematic internet use, publication year, and gender) could explain the variations in the findings across individual studies. These research results provide solid evidence for the link between problematic internet use and different mental health outcomes and have implications for future research and interventions on students' problematic internet use.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40894-022-00201-9.

Anxiety predicts internet addiction, which predicts depression among male college students: A cross-lagged comparison by sex

Objectives

Internet addiction has become an increasingly serious public health issue, putting young people at particular risk of psychological harm. This study aimed to analyze the interactions between college students' depression, anxiety, and Internet addiction and explore how these interactions differ between men and women.

Methods

A 6-month follow-up study was conducted on 234 college students using the Self-Rating Depression Scale, Self-rating Anxiety Scale, and Revised Chen Internet Addiction Scale.

Results

Depression, anxiety, and Internet addiction were positively correlated (p < 0.01). Anxiety can predict Internet addiction and that Internet addiction can predict depression. Moreover, anxiety had a significant predictive effect on Internet addiction among men.

Conclusion

Anxiety predicts Internet addiction, and Internet addiction predicts depression among male college students. These findings may better inform future Internet addiction intervention strategies. Particularly, interventions may better address Internet addiction by focusing on the role of anxiety, especially among men.

Prevalence and determinants of Internet Addiction among medical students and its association with depression

BACKGROUND

Internet addiction has been a topic of discussion in the academic literature for many years. As of April 2020, about 60 % of the world's population (nearly 4.6 billion people) were active internet user in their early adulthood. The prevalence among adolescent and college students ranged from 0.9 % to 33 %. The current study aimed to explore internet addiction's prevalence and correlates among undergraduate medical students at an Egyptian university. Also, to assess the relationship between internet addiction, depression symptoms, and socioeconomic status.

METHODS

A cross-sectional study of 321 undergraduate medical students at Assiut University using the Internet Addiction Scale, Patient Health Questionnaire, and Family Affluence Scale.

RESULTS

About 9 % of the study participants screened positive for internet addiction. The most important determinants among medical students were sex, mother's employment status, family affluence, depressive symptoms, and unmonitored internet access.

LIMITATIONS

We did not investigate another psychiatric disease, daily time of internet usage, most frequent time of usage, type of internet usage, and cost of use.

CONCLUSIONS

Internet Addiction is an important psychological problem affecting about 9 % of Assiut university medical students during their undergraduate stage, which may interfere with their lives and studies. Students with lower Internet addiction rates were female students whose mothers were employed, lived in a low affluence family, had fewer depressive symptoms, and had unmonitored internet privacy.

Internet addiction, depression, anxiety and stress among first year medical students after COVID-19 lockdown: A cross sectional study in West Bengal, India

Objectives

1. To assess the impact of COVID-19 lockdown on Internet addiction on first year medical students. 2. To evaluate the associations, if any, between internet addiction, anxiety, depression and stress.

Methods

Internet addiction, depression, anxiety and stress among medical students across West Bengal have been studied using Young's Internet Addiction Test (IAT) scale and the Depression, Anxiety and Stress Scale (DASS-21). A web-based questionnaire was made and circulated via different social media platforms. All interested candidates who gave consent were included in the study. All statistical analyses were done using SPSS version 25.0.

Results

The study population consisted of 37.2% of males and 63.8% of females. 80.23% of the participants showed moderate levels of internet addiction. Strong positive correlation was found between anxiety and stress (r = 0.83, P < 0.05), depression and anxiety (r = 0.92, P < 0.05) and between depression and stress (r = 0.86, P < 0.05).

Conclusion

The unprecedented ramifications of lockdown are incessant, with internet addiction, magnification in depression, anxiety and stress to name a few. Internet addiction coupled with psychological disorders still remains a matter of concern for medical students.

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

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.

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.

Prevalence of Addictive Behaviors in Medical Students and Their Association With Stress

OBJECTIVE

This study aims to investigate the prevalence of the addictive use of the internet, smartphone, and alcohol in medical students, the association of this addictive use with stress, and the mediating roles of resilience and self-esteem in this association.

METHODS

A total of 866 medical students completed measures of three addictive uses as well as psychological scales for stress, resilience, and self-esteem. Correlation analyses and parallel mediation analysis were carried out.

RESULTS

The prevalence of potential-risk and high-risk users was 5.8% and 1.7% for internet use, 5.4% and 2.2% for smartphone use, 22.6% and 5.3% for alcohol use, respectively. All three addictive behaviors tended to increase in terms of prevalence or mean score according to an increase in a students' grade. Stress was positively correlated with internet use (r=0.324, p<0.001) and smartphone use (r=0.347, p<0.001). Resilience and self-esteem were found to be mediators in the association between stress and internet use or smartphone use.

CONCLUSION

These findings suggest that addictions in medical students are as prevalent as in a general population and that internet use and smartphone use may be better explained by a stress-addiction model with resilience and self-esteem as mediators than alcohol use.

There Are Predictors of Eating Disorders among Internet Use Characteristics-A Cross-Sectional Study on the Relationship between Problematic Internet Use and Eating Disorders

The aims of this cross-sectional study were: (i) to establish the prevalence of problematic Internet use (PIU) and eating disorders (EDs) among Polish students; (ii) to investigate potential correlations between the two phenomena; and (iii) to identify predictors of eating disorders among socio-demographic and Internet use characteristics in this population. To this end, a total of 1008 Polish students aged 18-40, completed the Problematic Internet Use Test (TPIU22), the Eating Attitudes Test (EAT-26) and a self-designed Socio-demographic and Internet Use Survey. Men received more PIU scores (p < 0.001), while women received more EAT-26 scores (p < 0.05) with a significant correlation observed between those variables (rho = 0.212; p < 0.001). The strongest predictors of EDs were as follows: preoccupation with the Internet, neglect of sleep in favor of Internet use, alleviation of negative feelings while online, higher mean number of hours spent online on weekends for academic and work-related purposes, extracurricular activity, lower height and higher BMI. An association has been demonstrated between problematic internet use and eating disorders. Somewhat surprisingly, our results suggest that people at risk of EDs use the Internet primarily to fulfill their routine duties. Nevertheless, further research is needed to establish the causality of EDs and PIU.

How Have Researchers Acknowledged and Controlled for Academic Work Activity When Measuring Medical Students' Internet Addiction? A Systematic Literature Review

Internationally, medical students' Internet Addiction (IA) is widely studied. As medical students use the Internet extensively for work, we asked how researchers control for work-related Internet activity, and the extent to which this influences interpretations of "addiction" rates. A search of PubMed, CINAHL, Web of Science, Scopus, and Google Scholar was conducted on the search phrase of "medical students" and "internet addiction" in March 2020. In total, 98 studies met our criteria, 88 (90%) used Young's Internet Addiction Test, and the studies' IA rates ranged widely. Little note was taken of work-related activity, and, when discussed, had little to no impact on the interpretation of Internet "addiction". Studies seldom accounted for work-related activities, researcher bias appears to influence their position, "usage" appears conflated with "addiction", and correlations between "addiction" and negative behaviours are frequently confused with one-way causation. In spite of IA's not being officially recognised, few researchers questioned its validity. While IA may exist among medical students, its measurement is flawed; given the use of the Internet as a crucial medical education tool, there is the risk that conscientious students will be labelled "addicted", and poor academic performance may be attributed to this "addiction".

Prevalence and Factors Associated with Problematic Internet Use in a Population of Spanish University Students

(1) Background: To examine the prevalence, and associated factors of, problematic Internet use in a sample of Spanish university students. (2) Methods: Cross-sectional descriptive study of a convenience sample of 698 university students. Self-esteem, alcohol consumption, perceived social support, depression, anxiety, stress and problematic Internet use were evaluated using the Rosenberg, CAGE, DUKE-UNC-11, DASS-21 and Young's Internet Addiction Test, respectively. (3) Results: Problematic internet use was reported by 21% of respondents. Risk of problematic Internet use was independently associated with the preferred use of the smartphone, time of exposure to the Internet, less perceived social support, problematic alcohol consumption and symptoms of stress and anxiety. We found significant association between problematic internet use and time of exposure to the Internet, residential status, alcohol consumption, self-esteem, perceived social support and psychological distress, after bivariate analysis. (4) Conclusions: A considerable prevalence of problematic Internet use was found; in our sample problematic Internet use was associated with stress, alcohol consumption, anxiety and perceived social support. Strategies aimed at the early identification of problematic Internet use may lead to an improvement in the psychosocial health of the university student population.

Internet Addiction and Its Relationship to Gender, Depression and Anxiety Among Medical Students in Anbar Governorate-West of Iraq

INTRODUCTION

The rapid increase of internet using was associated with a rise in internet addiction (IA) especially among adolescent and young adults that may associated with underlying psychological disorders. The aims of the study: a) to estimate the prevalence of internet addiction among medical students in Anbar governorate, b) to assess the effect of internet addiction on mental health by measuring the association of IA with depression and anxiety among the students.

METHODS

A cross sectional study was carried out during the period from February to April 2019. A self-administered questionnaire was used which consisted from demographic questions, the Young Internet Addiction test to evaluate the internet addiction among the subjects and the Depression Anxiety stress scales (DASS) for assessing the depression and anxiety symptoms among the medical students.

RESULTS

47.5% of the subjects had mild internet addiction, proportion of moderate addiction among the participants was 23%. There was a significant association between internet addiction with depression and anxiety. The subjects with internet addiction had OR = 2.302 for depression development (P < 0.001), also the students with internet addiction had OR= 3.088 for anxiety development (p < 0.001).

CONCLUSION

High rate of internet addiction among medical students in Anbar city- west of Iraq and there was significant association between internet addition and mental disorders of the subjects.

The Association Between Internet Addiction and Anxiety in Nursing Students: A Network Analysis

Background: Nursing students who suffer from co-occurring anxiety experience added difficulties when communicating and interacting with others in a healthy, positive, and meaningful way. Previous studies have found strong positive correlations between Internet addiction (IA) and anxiety, suggesting that nursing students who report severe IA are susceptible to debilitating anxiety as well. To date, however, network analysis (NA) studies exploring the nature of association between individual symptoms of IA and anxiety have not been published. Objective: This study examined associations between symptoms of IA and anxiety among nursing students using network analysis. Methods: IA and anxiety symptoms were assessed using the Internet Addiction Test (IAT) and the Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of IA and anxiety symptoms was characterized using "Strength" as a centrality index in the symptom network. Network stability was tested using a case-dropping bootstrap procedure and a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender and by region of residence. Results: A total of 1,070 nursing students participated in the study. Network analysis showed that IAT nodes, "Academic decline due to Internet use," "Depressed/moody/nervous only while being off-line," "School grades suffer due to Internet use," and "Others complain about your time spent online" were the most influential symptoms in the IA-anxiety network model. Gender and urban/rural residence did not significantly influence the overall network structure. Conclusion: Several influential individual symptoms including Academic declines due to Internet use, Depressed/moody/nervous only while being off-line, School grades suffering due to Internet use and Others complain about one's time spent online emerged as potential targets for clinical interventions to reduce co-occurring IA and anxiety. Additionally, the overall network structure provides a data-based hypothesis for explaining potential mechanisms that account for comorbid IA and anxiety.

Medical student Internet usage: is the literature correct to call it addiction? An opinion piece

Over the past few years, there has been a sharp rise in the number of academic articles examining "Internet addiction" among medical students. This opinion piece views the Internet as a communication environment and a medical information tool within medical education. Within this context, the paper investigates the Internet Addiction Test (IAT) and criteria used in those articles, and questions their assumptions and conclusions. It then argues that what is often viewed as "addiction" may actually be dedication to work.

Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study

Problematic Internet use (PIU) has begun to be linked to the development of certain eating disorders. This uncontrolled use of the Internet is mainly found in the student population. The purposes of this paper were to determine PIU-related eating disorders in students from a systematic review of the literature and to analyze the incidence of PIU in eating disorders through a meta-analysis of the literature. We used two electronic databases (Web of Science and Scopus) from inception to June 2019. The systematic literature review was based on fixed inclusion and exclusion criteria. A total of 12 studies were identified (systematic review) and 10 studies for meta-analysis, which included 16,520 students. Different eating disorders were associated with PIU: anorexia nervosa, bulimia nervosa, binge-eating disorder, food preoccupation, loss of control eating, and dieting. Furthermore, meta-analysis confirmed that PIU is a predictor of eating disorders in students. The groups of students with PIU presented a higher rate in the presence of eating disorders, these differences being significant. Finally, this study showed empirical evidence on the link between PIU and eating disorders. The need for prevention in childhood and adolescence is highlighted.