Evaluation of Internet Addiction and Depression among University Students

Cross-cultural insights into internet addiction and mental health: a network analysis from China and Malawi

BACKGROUND

Internet addiction has emerged as a significant mental health issue among university students. The study aimed to compare the network structures of Internet addiction and mental health symptoms among university students in China and Malawi, which provide insights into culturally sensitive prevention and intervention strategies.

METHODS

Network analysis was used on two datasets: Malawi (n = 688) and China (n = 975) using the Internet Addiction Test and the Self-Reporting Questionnaire. Network estimation, centrality, bridge estimation and network comparison, were conducted using R software.

RESULTS

The prevalence of internet addiction and mental health was significantly higher in China than Malawi. In Malawi, the strongest edges were "school work" - "job performance" and "worthless" - "unable to play a useful part". The central nodes were "daily work suffering", "fantasize" and "lost interest". In China, the strongest edges were "neglect household" - "neglect partner" and "difficult to enjoy" - "daily work suffering". The central nodes were "trouble thinking", "unhappiness", and "unable to play a useful part". Bridge symptoms varied between the countries, with functional impairments (school work, daily work suffering and difficult to make decision) being more prominent in Malawi and emotional disturbances (daily work suffering, act annoyed and difficult to enjoy) in China.

CONCLUSIONS

The study highlights significant differences in the network structures of internet addiction and mental health between China and Malawi, which underscore the importance of culturally sensitive mental health interventions. In Malawi, addressing functional impairments related to academic and work performance is crucial, while in China, interventions should focus on emotional and relational aspects.

Internet Addiction and Sleep Quality Among School Children in South India

BACKGROUND AND AIM

Today's internet is an unavoidable component of educational sources, the entertainment field, and telecommunication processes. Internet usage is more likely among adolescents and young adults in the form of surfing, chatting, playing games, and fulfilling their social needs. The present study has been planned to assess the effect of internet addiction (IA) on sleep quality in school children.

METHODS

This cross-sectional school-based study was conducted among school students in Pondicherry. A total of 350 school students of both genders studying in grades six to 10 and having access to at least one device with internet for more than one year were recruited from government and private schools located in five randomly selected communes in Pondicherry by convenient sampling method. Assessment of IA was done using Young's Internet Addiction Test (YIAT). The Pittsburgh Sleep Quality Index (PQSI) questionnaire assessed the participants' sleep quality. All the data was tested for normality using the Kolmogorov-Smirnov test. Chi-square and unpaired t-tests were used for analysis.

RESULTS

The average age of the participants is 13 years. 49 (26.1%) are children and 139 (73.9%) are adolescents. The majority of them are females belonging to the adolescent age group (169, 89.4%). Around 17 (19.5%) children and 70 (80.5%) adolescents reported mild IA. Thirteen (59.1%) children and nine (40.9%) adolescents reported moderate IA. There is no significant difference in sleep quality between children and adolescents (4±2.33 vs. 3.62±2.61, p=0.37) but there is a considerable difference in their levels of IA (32.98±21.06 vs. 25.6±15.08, p=0.01).  Conclusion: This study found a significant relationship between IA and poor sleep quality among adolescents. Thus, adolescents, parents, school authorities, and researchers should understand the importance of regulating internet usage and encouraging sleep hygiene. Thus, appropriate measures should be taken to address the effects of IA on sleep quality.

Anonymity as a Moderator of the Relationship Between FoMO (Fear of Missing Out) and Psychological Well-Being

With the increasing use of technology, different psychological effects of social media emerge. These psychological effects can be negative as well as positive, and in general psychological well-being and different psychological variables related to social media can affect the daily life of individuals. Also, new constructs associated with social media, such as anonymity, have begun to show up as people seek protection of their identities online. This study aims to determine the moderating role of anonymity in the relationship between FoMO and psychological well-being. The sample of this study consisted of 232 participants (69.8% female) between the ages of 18-59. Two different scales were used in this study: Fear of Missing Out (FoMO) and Psychological Well-being. In addition, to measure anonymity, participants were asked a single question about whether they use anonymous accounts on social media. The analysis of the study found a positive and significant relationship between FoMO and anonymity as well as a negative and significant relationship between psychological well-being and anonymity. Moreover, the results indicated that anonymity moderated the relationship between FoMO and psychological well-being. That is, FoMO was negatively associated with psychological well-being for individuals with anonymous accounts, while there was no significant relationship between FoMO and psychological well-being for those without anonymous accounts. The limitations and contributions of the study were discussed in line with the relevant literature and suggestions for future research were presented.

Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand

BACKGROUND

Depression is a common mental health problem that can affect everyone at different stages of development. Though the prevalence rate of depression among university students is rising, exploration among engineering students is limited. The aim of the study was to examine the prevalence of depression and its associated factors of among engineering students in Thailand.

METHODS

A total of 346 students participated in this study. All completed the outcome inventory depression subscale (OI-D) to evaluate the level and prevalence of depression. Other variables assessed included social skills, learning styles, relationship satisfaction, interpersonal difficulty, alcohol use, internet addiction, and neuroticism. Correlation and regression analyses were applied to test the association between sociodemographic and psychosocial factors and depression.

RESULTS

Of the 346 students with the mean age of 20.25 (SD, 1.33), 52.31% were male. Based on the OI-D, 35.3% of participants exhibited symptoms indicative of major depression. Multiple regression showed that only neuroticism, interpersonal difficulties, social skills, and self-esteem appeared to be the significant predictors of depression.

CONCLUSION

The prevalence of depression among engineering students in Thailand was unexpectedly high compared with the prevalence of depression among engineering students in some other countries. Intra- and interpersonal factors were found to be associated with depression. Further study on identifying these risk factors should be encouraged.

Internet Addiction and its Relationship with Attachment Styles Among Tunisian Medical Students

Internet addiction is a growing addictive behavior and a major public health problem worldwide. Several psychological factors can contribute to the problematic use of the Internet. This study aimed to determine the prevalence of Internet Addiction (IA) in a sample of university students and to examine the relationship between IA, self-esteem, and attachment styles. The present study was a cross-sectional study, involving 135 students from the Faculty of Medicine of Monastir. The participants completed a questionnaire, which contained the socio-demographic data, the reasons for Internet use, the Young Cyberaddiction scale to seek IA, the Relationships-style-questionnaire-RSQ to assess attachment style, and the Rosenberg Self-Esteem Scale (RSES). The mean age of the students was 21.5 ± 1.9 years old. They were 112 (83%) females. The prevalence of Internet addiction was 23.7%. The average connection time was 3.5 ± 1.8 hours/day. The most frequent online activities were chat (online discussion, forums ...) in 94.8% of cases followed by download activities (78.5%), scientific research (75.6%), online games (23.7%), and online shopping (13.3%). IA was associated with school failure, alcohol use, online gaming, and low self-esteem. The majority of the participants (84.4%) in this study reported an insecure attachment style. Logistic regression analysis showed a strong association between IA and fearful attachment style. IA was frequent among students. Fearful attachment style was found to be a risk factor for IA. This study highlights the impact of relationships between child and their caregivers on the development of addiction.

Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study

Background

There has been growing evidence of comorbidity between internet addiction and depression in youth during the COVID-19 period. According to the network theory, this may arise from the interplay of symptoms shared by these two mental disorders. Therefore, we examined this underlying process by measuring the changes in the central and bridge symptoms of the co-occurrence networks across time.

Methods

A total of 852 Chinese college students were recruited during two waves (T1: August 2020; T2: November 2020), and reported their internet addiction symptoms and depressive symptoms. Network analysis was utilized for the statistical analysis.

Results

The internet addiction symptoms "escape" and "irritable," and depression symptoms "energy" and "guilty" were the central symptoms for both waves. At the same time, "guilty" and "escape" were identified as bridge symptoms. Notably, the correlation between "anhedonia" and "withdrawal" significantly increased, and that between "guilty" and "escape" significantly decreased over time.

Conclusions

This study provides novel insights into the central features of internet addiction and depression during the two stages. Interestingly, "guilty" and "escape," two functions of the defense mechanism, are identified as bridge symptoms. These two symptoms are suggested to activate the negative feedback loop and further contribute to the comorbidity between internet addiction and depression. Thus, targeting interventions on these internalized symptoms may contribute to alleviating the level of comorbidity among college students.

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.

Prevalence of Internet Addiction Among Iranian University Students: A Systematic Review and Meta-analysis

This systematic review and meta-analysis aims to estimate the overall prevalence of Internet addiction among Iranian university students. A total of 49 articles written in Persian or English, without time limitation, were gathered. Databases of Scientific Information Database, MagIran, PubMed, Scopus, and Web of Science were searched during the period from February 13 to March 13, 2018. The following keywords and their possible combinations were used: Iran, student, Internet dependency, Internet addiction, and problematic Internet use. The Cochran's Q test was used to test the heterogeneity among the studies, and because heterogeneity was not significant, the random effects model was used to estimate the overall prevalence of Internet addiction. Data analysis was performed using STATA, version 12. Meta-analysis of 49 selected articles with a total sample size of 16,585 indicated that the overall prevalence of Internet addiction among Iranian students was 31.51 percent (95% confidence interval: 26.47-36.55). In addition, meta-regression analysis showed no significant relationship between Internet addiction and year of publication (p = 0.972) and sample size (p = 0.915). About one-third of Iranian students have Internet addiction. It is necessary to provide training workshops on learning about the consequences of Internet addiction and its management.

The association between Internet addiction and sleep quality among Sohag University medical students

Background

Internet addiction (IA) is a growing issue with multiple impacts on psychological functions, including sleep. Consequently, the present study aimed to assess the correlation between IA as well as the quality of sleep among medical students. A total of 525 students from Sohag University were included in the study. Young Internet Addiction Test (YIAT) was utilized in order to evaluate IA. Demographic information, university-related factors, and Internet usage patterns of the participants were documented. Pittsburgh Sleep Quality Index was utilized so as to evaluate the quality of sleep.

Results

The prevalence of IA was 4.95% for severe addiction and 39.62% for moderate addiction. About 81.62% of subjects who suffer from IA significantly had poor quality of sleep. Young age, male gender, low academic performance, computer presence at home, Internet presence at home, using the Internet for chatting and gaming, and poor sleep quality are strong predictors of Internet addiction.

Conclusions

The prevalence of IA and its impact on the quality of sleep have been found to be substantial among medical students. There is a need for programs to raise awareness towards IA as well as its impact on sleep among university medical students.

Exploration of Psychological Mechanism of Smartphone Addiction Among International Students of China by Selecting the Framework of the I-PACE Model

The I-PACE (interaction of person-affect-cognition-execution) model explains that the causes of addiction are the result of individual susceptibility (genetic and personality), psychopathological factors (negative emotions), and cognitive and affective factor interaction. The issue of smartphone addiction and its emerging effects are now becoming an essential social enigma. This study is aimed at exploring how personal, affective, cognitive, and execution factors accelerate the mechanism of smartphone addiction among international students. Randomly selected, six hundred international students have constituted the population for our study. All participants were asked to complete self-administered questionnaires. The questionnaire included demographics (gender, place of stay, educational level, and reason for smartphone usage), Mobile Phone Addiction Index, Loneliness Scale (UCLA), Rosenberg Self-Esteem Scale, Beck Depression Inventory, Perceived Stress Scale, Eysenck Personality Questionnaire, and Simplified Coping Style Questionnaire. Statistical analysis was performed using SPSS. 20.3% (n = 122) of international students are agonized with smartphone addiction, while 79.7% (n = 478) use smartphones at an average level. Students' place of stay, neuroticism personality, social desirability, self-esteem, loneliness, depression, perceived stress, and passive coping are associated with smartphone addiction. Loneliness and depression show a strong positive significant correlation, among other variables while loneliness, neurotic personality, depression, low self-esteem, stress, and passive coping are risk factors for smartphone addiction. This study reveals that international students are a high-risk group for smartphone addiction. It has a great deal of impact on students' behavior and psyche. Multiple social, psychological, affective, and cognitive factors affect smartphone addiction. It would be beneficial to direct the students to limit their phone usage and indulge in other healthy physical activities to complete academic goals.

Internet Addiction Status and Related Factors among Medical Students: A Cross-Sectional Study in Western Iran

BACKGROUND

In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments.

METHODS

This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed questionnaires among the respondents' three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017-2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 23 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA).

RESULTS

The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84 ± 2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29 ± 0.73, 3.17 ± 0.92, and 3.57 ± 0.64 correspondingly. The survey results illustrated that medical students' internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet (p < .05).

CONCLUSION

The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students' healthy behavior.

The impact of internet addiction on depression, physical activity level and trigger point sensitivity in Turkish university students

BACKGROUND AND OBJECTIVES

Internet addiction (IA), defined as excessive, time consuming, uncontrollable use of the internet, has become a widespread problem. In this study, we investigated the impact of internet addiction on depression, physical activity level, and latent trigger point sensitivity in Turkish university students.

METHODS

A total of 215 university students (155 females and 60 males) who were between 18-25 years of age participated in the study. Using the Addiction Profile Index Internet Addiction Form (APIINT), we identified 51 people as non-internet-addicted (non-IA) (Group 1: 10 male/41 female) and 51 as internet-addicted (IA) (Group 2: 7 male/44 female). APIINT, International Physical Activity Questionnaire-Short-Form (IPAQ), Beck Depression Inventory (BDI), and Neck Disability Index (NDI) were administered to both groups, and the pressure-pain threshold (PPT) in upper/middle trapezius latent trigger points area was measured.

RESULTS

The internet addiction rate was 24.3% in our students. Compared with the non-IA group, the daily internet use time and BDI and NDI scores were higher (all p< 0.05), while the IPAQ walking (p< 0.01), IPAQ total (p< 0.05), and PPT values (p< 0.05) were lower in the IA group.

CONCLUSIONS

IA is a growing problem. This addiction may lead to musculoskeletal problems and can have consequences involving the level of physical activity, depression, and musculoskeletal disorders, particularly in the neck.

Burden of internet addiction, social anxiety and social phobia among University students, India

Background:

Social anxiety disorder (SAD) is a common mental health disorder affecting adolescents often associated with comorbidities like depression, suicide ideation and substance abuse. The objective of this study was to estimate the prevalence of social anxiety in adolescents and to explore its correlation with internet usage.

Methods:

An exploratory cross-sectional study was conducted among 307 undergraduate students to screen for social anxiety and social phobia using a validated instrument, social interaction anxiety scale (SIAS). Young's internet addiction scale was used for measuring internet addiction. Respondents were categorised according to the scores obtained and later compared with their internet addiction behaviours.

Results:

Internet addiction was seen in 93.8% of respondents. The prevalence of SAD was estimated to be 15.3%. Internet addiction was positively correlated with social anxiety score (Pearson correlation = 0.994, P < 0.001).

Conclusion:

More than 90% of participants had internet addiction, the majority had mild-moderate internet addiction. Social anxiety was present in more than one-third of the participants. SAD was found to be associated with internet addiction.

Social Networks Consumption and Addiction in College Students during the COVID-19 Pandemic: Educational Approach to Responsible Use

Within the framework of digital sustainability, the increase in Internet consumption, and especially online social networks, offers social benefits, but is not without its drawbacks. For example, it can lead to psychological and/or psychiatric disorders in some people. Numerous researches are highlighting the similarities of these addictions with the consumption of toxic substances. University students are heavy users of the Internet and, in certain situations, addiction to online social networks can be the result of depression, harassment, and anxiety, among others, affecting their daily life, including their academic responsibilities. In recent months, an anomaly has occurred that may have contributed to intensifying this problem, namely the confinement produced by the COVID-19 pandemic, which has affected the whole world to a greater or lesser extent. In this cross-sectional study, with a descriptive and quantitative methodology, students from 14 Spanish universities were investigated in the first wave of the COVID-19 pandemic in order to understand the effects of this situation on the problem described. The results show a high consumption of social networks during that time, with significant incidences of addiction. In parallel, the presence of comorbidity has been determined. In this scenario, it would be necessary to implement university educational programs to redirect these addictive behaviors, as well as preventative recommendations and actions to minimize negative impacts. This is a major problem that is growing, exacerbated by the global pandemic produced by the SARS-CoV-2 coronavirus. Situations of this gravity call for the development of preventive and educational measures for the responsible and sustainable use of ICT.

Variety, frequency, and type of Internet use and its association with risk of depression in middle- and older-aged Chinese: A cross-sectional study

BACKGROUND

Internet use is beneficial to mental health has been acknowledged, but its specific patterns await further investigation in China's context of urban-rural disparity. Therefore, we aimed to understand the patterns of Internet use and measure their associations with risk of depression in China from three dimensions: variety, frequency and type.

METHODS

We selected 18,492 urban and rural Chinses respondents aged 45 years and older from China Health and Retirement Longitudinal Study (CHARLS) 2015 dataset. Risk of depression was measured by 10-item Centre for Epidemiologic Studies (CES-D 10). Internet use was measured from three dimensions: variety, frequency and type, whereas its relationship with risk of depression was examined by multivariate logistic regression model.

RESULTS

In the whole sample, 67.2% of respondents had no risk of depression, and approximately 7% used Internet, which was inversely associated with risk of depression (AOR=0.617, 95% CI=0.444, 0.858). Rural respondents had higher risk of depression (37.1% VS 26.2%) and lower prevalence of Internet use (2.6% VS 13%). Among rural respondents, using Internet occasionally (AOR=0.338; 95% CI=0.130, 0.881), using one type of device (AOR=0.293; 95% CI=0.113, 0.760), especially mobile phone (AOR=0.427; 95% CI=0.187, 0.978) were associated with lower odds of depression. No significant associations were observed in urban respondents.

LIMITATIONS

The causal relationship between variables awaits further investigation with a longitudinal design.

CONCLUSION

Internet use was negatively associated with risks of depression, especially in rural but not in urban participants. Rural-urban disparities should be considered when designing strategies to encourage moderate Internet use.

Internet addiction and associated factors among medical and allied health sciences students in northern Tanzania: a cross-sectional study

Background

Internet addiction is one of the fast-growing addictive behaviors and is a significant public health problem affecting a large number of people worldwide. Excessive use of the internet among university students increases their risk of internet addiction and related negative consequences. This study aimed to determine the prevalence and factors associated with internet addiction among medical and allied health sciences students in northern Tanzania.

Methods

This cross-sectional study was conducted at Kilimanjaro Christian Medical University College (KCMUCo) from May to June 2018. A total of 500 consenting undergraduate students were sampled using the Simple Random Sampling technique proportional to the size of each class and a self-administered questionnaire used to collect data. Internet addiction was measured using a 20-item internet addiction test (IAT-20). Generalized linear model with Poisson family and log link function was used to estimate prevalence ratio (PR) and the corresponding 95% confidence intervals for factors associated with internet addiction.

Results

The prevalence of internet addiction was 31%. Undergraduate students using the internet at the college were less likely to be addicted to internet (PR = 0.45, 95%CI 0.23, 0.86, p = 0.02) compared to those using both at the hostel/home and college. Higher prevalence of internet addiction was among those who used internet for a long time, i.e., 5 h or more per day (PR = 1.84, 95%CI 1.30, 2.63, p = 0.001) and for social networking (PR = 1.64, 95%CI 1.17, 2.31, p = 0.004) compared to those who used for less than 5 h per day and academic purposes, respectively.

Conclusions

Thirty-one percent of undergraduate students in northern Tanzania were addicted to the internet. Internet addiction was associated with using the internet at the college, a long time using the internet per day, and social networking. The college administration should put effort into improving the accessibility, reliability, and regulation of college internet services to promote learning and academic productivity. We also recommend awareness creation intervention about the harmful consequences of excessive internet use in this population. More studies are needed to determine the burden of mental, psychological, and social problems associated with internet addiction in high-risk populations, and associated consequences.

Does Interpersonal Interaction Really Improve Emotion, Sleep Quality, and Self-Efficacy among Junior College Students?

This study discusses the correlation between teenagers' real-life interpersonal interactions and teenagers' online interpersonal interactions with regards to emotion, sleep quality, and self-efficacy. This study adopted a cross-sectional design that included a survey using a structured questionnaire which included demographic data, the Chinese version of the Depression Anxiety Stress Scale (DASS-21), the Pittsburgh Sleep Quality Index (PSQI), the General Self-Efficacy Scale (GSE), the Real Interpersonal Interaction Scale (RIIS), and the Internet Interpersonal Interaction Scale (IIIS). This study enlisted 917 teenage students (age = 17.16 ± 1.48 years). The study found that RIIS had significant negative correlations with DASS and PSQI scores and a significant positive correlation with GSE. Namely, the greater the degree of real-life interpersonal interaction, the lower the degree of negative emotion. Likewise, the more satisfactory sleep quality is, the higher self-efficacy is. In addition, IIIS scores demonstrate significantly positive correlations with DASS and PSQI scores. Therefore, the greater the degree of online interpersonal interaction, the greater the levels of negative emotion, and the poorer the sleep quality is. This study showed that online interpersonal interaction may not improve emotions, sleep quality, or self-efficacy among junior college students. However, real-life interpersonal interaction may improve those three parameters.

The Effect of Solution-Focused Group Counseling Intervention on College Students' Internet Addiction: A Pilot Study

This pilot study aimed to explore the effect of solution-focused group counseling intervention on Internet addiction among college students. Eighteen college students participated in this study, out of which nine subjects were assigned into the experimental group and the rest (n = 9) to a control group. The experimental group received group counseling for five weeks, while the control group did not receive any intervention. The revised version of the Chinese Internet Addiction Scale (CIAS-R) was used to capture pre-test and post-test excessive use in the two groups. The experimental group was also subjected to a follow-up test and self-reported Internet addiction scores six months after the end of group counseling. Results showed that after the five-week solution-focused group counseling, the scores of four dimensions of the CIAS-R in the experimental group had CIAS-R decreased, and the reduction trend of the total score of CIAS-R was similar across all subjects in this group. The treatment effect was larger than the placebo reduction in the control group in two dimensions: compulsive and withdrawal (Sym-C & Sym-W) and tolerance (Sym-T) symptoms. Qualitative research confirmed the conclusions from the quantitative data, showing that the experimental group reduced its Internet addiction symptoms. Overall, the findings suggested that solution-focused group counseling had positive intervention effects on Internet addiction.

Study of internet addiction and its association with depression and insomnia in university students

Introduction:

Use of internet has increased exponentially worldwide with prevalence of internet addiction ranging from 1.6% to 18 % or even higher. Depression and insomnia has been linked with internet addiction and overuse in several studies.

Aims and Objectives:

Present study has looked in to pattern and prevalence of internet addiction in university students. This study has also explored the association of internet addiction with depression and insomnia.

Material and Methods:

In this cross sectional study 954 subjects were enrolled who had been using internet for past 6 months. Information regarding pattern of use and socio demographic characteristics were recorded. Internet addiction Test (IAT), PHQ-9,and insomnia Severity Index (ISI) were applied to measure internet addiction, depression and insomnia respectively.

Results:

Among 954 subjects, 518 (60.59%) were male and 376 (39.41%) were female with mean age of 23.81 (SD ± 3.72). 15.51% study subjects were internet addicts and 49.19% were over users. Several parameters including graduation level, time spent per day on line, place of internet use, smoking and alcohol had significant association with internet addiction. Internet addiction was predominantly associated with depression and insomnia.

Conclusion:

Internet addiction is a rising concern among youth. Several parameters including gender, time spent on line, alcohol, smoking predicts higher risk of internet addiction. Depression and insomnia are more common in internet addicts and overusers.

Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine

With the unprecedented development of the Internet, it also brings the challenge of Internet Addiction (IA), which is hard to diagnose and cure according to the state-of-art research. In this study, we explored the feasibility of machine learning methods to detect IA. We acquired a dataset consisting of 2397 Chinese college students from the University (Age: 19.17 ± 0.70, Male: 64.17%) who completed Brief Self Control Scale (BSCS), the 11th version of Barratt Impulsiveness Scale (BIS-11), Chinese Big Five Personality Inventory (CBF-PI) and Chen Internet Addiction Scale (CIAS), where CBF-PI includes five sub-features (Openness, Extraversion, Conscientiousness, Agreeableness, and Neuroticism) and BSCS includes three sub-features (Attention, Motor and Non-planning). We applied Student's t-test on the dataset for feature selection and Support Vector Machines (SVMs) including C-SVM and ν-SVM with grid search for the classification and parameters optimization. This work illustrates that SVM is a reliable method for the assessment of IA and questionnaire data analysis. The best detection performance of IA is 96.32% which was obtained by C-SVM in the 6-feature dataset without normalization. Finally, the BIS-11, BSCS, Motor, Neuroticism, Non-planning, and Conscientiousness are shown to be promising features for the detection of IA.

'A Healthy CIT': An Investigation into Student Health Metrics, Lifestyle Behaviours and the Predictors of Positive Mental Health in an Irish Higher Education Setting

Higher Education Institutions (HEIs) are potent health promotion settings, uniquely positioned to aid societal efforts to combat non-communicable diseases (NCDs). International evidence suggests that health metrics and lifestyle behaviours of higher education students are sub-optimal, yet a dearth of contemporary Irish data exists. This study aimed to examine sex differences in student lifestyle behaviours and identify significant predictors of positive mental health in an Irish HEI setting. An online questionnaire instrument distributed to all registered students (n = 11,261) gathered data regarding a multitude of health and lifestyle domains. Many items were adapted from previous Irish research. Further validated scales included the Alcohol Use Disorders Identification Test (AUDIT), Mental-Health Index 5 (MHI-5) and the Energy and Vitality Index (EVI). Self-reported height/body mass were also recorded. In total, 2267 responses were analysed (51.7% female, 48.3% male). Both sexes demonstrated poor sleeping patterns, hazardous drinking and sub-optimal fruit and vegetable intake. The calculated prevalence of overweight/obesity was 38.2%. Both sexes underestimated obesity. Males underestimated and females overestimated overweight. Males displayed riskier behavioural patterns with regard to illicit substances, drinking, and sexual partners. Females reported greater psychological distress. Multivariate linear regression identified 8 variables as predictors of positive mental health, accounting for 37% of the variance in EVI scores. In conclusion, HEI students would benefit from sex-specific multi-level health promotion initiatives to remove macro-level barriers to healthier lifestyles.

Internet Addiction Among Lebanese Adolescents: The Role of Self-Esteem, Anger, Depression, Anxiety, Social Anxiety and Fear, Impulsivity, and Aggression-A Cross-Sectional Study

The study objective was to evaluate the association between depression, anxiety, social anxiety and fear, impulsivity, and aggression and Internet addiction (IA) among Lebanese adolescents. This cross-sectional study, conducted between October 2017 and April 2018, enrolled 1103 young adolescents aged between 13 and 17 years. The Internet Addiction Test (IAT) was used to screen for IA. The results also showed that 56.4% of the participants were average Internet users (IAT score ≤49), 40.0% had occasional/frequent problems (IAT scores between 50 and 79), and 3.6% had significant problems (IAT scores ≥80) because of Internet use. The results of a stepwise regression showed that higher levels of aggression (β = 0.185), depression (Multiscore Depression Inventory for Children) (β = 0.219), impulsivity (β = 0.344), and social fear (β = 0.084) were associated with higher IA, whereas an increased number of siblings (β = -0.779) and a higher socioeconomic status (β = -1.707) were associated with lower IA. Uncontrolled use of the Internet can be associated with addiction and other psychological comorbidities.

"Internet Addiction": a Conceptual Minefield

With Internet connectivity and technological advancement increasing dramatically in recent years, “Internet addiction” (IA) is emerging as a global concern. However, the use of the term ‘addiction’ has been considered controversial, with debate surfacing as to whether IA merits classification as a psychiatric disorder as its own entity, or whether IA occurs in relation to specific online activities through manifestation of other underlying disorders. Additionally, the changing landscape of Internet mobility and the contextual variations Internet access can hold has further implications towards its conceptualisation and measurement. Without official recognition and agreement on the concept of IA, this can lead to difficulties in efficacy of diagnosis and treatment. This paper therefore provides a critical commentary on the numerous issues of the concept of “Internet addiction”, with implications for the efficacy of its measurement and diagnosticity.

Exploring depression, self-esteem and verbal fluency with different degrees of internet addiction among Chinese college students

BACKGROUND

The aims of this study were to explore depression, self-esteem and verbal fluency functions among normal internet users, mild internet addictions and severe internet addictions.

METHODS

The survey sample consisted of 316 college students, and their internet addiction symptoms, depression and self-esteem symptoms were assessed using the Revised Chen Internet Addiction Scale (CIAS-R), Zung Self-Rating Depression Scale (ZSDS), Rosenberg Self-Esteem Scale (RSES), respectively. From this sample, 16 students with non-addictions, 19 students with mild internet addiction (sub-MIA) and 15 students with severe internet addiction (sub-SIA) were recruited and subjected to the classical verbal fluency tests, including the semantic and phonemic fluency task.

RESULTS

The results indicated that severe internet addiction in the survey sample showed the highest tendency towards depressive symptoms and lowest self-esteem scores, and sub-SIA showed poor performance on the semantic fluency task.

CONCLUSION

In conclusion, severe internet addiction was significantly associated with depression, low self-esteem and semantic verbal fluency problems.

Treatment of Internet Addiction with Anxiety Disorders: Treatment Protocol and Preliminary Before-After Results Involving Pharmacotherapy and Modified Cognitive Behavioral Therapy

BACKGROUND

The growth of the Internet has led to significant change and has become an integral part of modern life. It has made life easier and provided innumerous benefits; however, excessive use has brought about the potential for addiction, leading to severe impairments in social, academic, financial, psychological, and work domains. Individuals addicted to the Internet usually have comorbid psychiatric disorders. Panic disorder (PD) and generalized anxiety disorder (GAD) are prevalent mental disorders, involving a great deal of damage in the patient's life.

OBJECTIVE

This open trial study describes a treatment protocol among 39 patients with anxiety disorders and Internet addiction (IA) involving pharmacotherapy and modified cognitive behavioral therapy (CBT).

METHODS

Of the 39 patients, 25 were diagnosed with PD and 14 with GAD, in addition to Internet addiction. At screening, patients responded to the MINI 5.0, Hamilton Anxiety Rating Scale, Hamilton Depression Rating Scale, Clinical Global Impressions Scale, and the Young Internet Addiction Scale. At that time, IA was observed taking into consideration the IAT scale (cutoff score above 50), while anxiety disorders were diagnosed by a psychiatrist. Patients were forwarded for pharmacotherapy and a modified CBT protocol. Psychotherapy was conducted individually, once a week, over a period of 10 weeks, and results suggest that the treatment was effective for anxiety and Internet addiction.

RESULTS

Before treatment, anxiety levels suggested severe anxiety, with an average score of 34.26 (SD 6.13); however, after treatment the mean score was 15.03 (SD 3.88) (P<.001). A significant improvement in mean Internet addiction scores was observed, from 67.67 (SD 7.69) before treatment, showing problematic internet use, to 37.56 (SD 9.32) after treatment (P<.001), indicating medium Internet use. With respect to the relationship between IA and anxiety, the correlation between scores was .724.

CONCLUSIONS

This study is the first research into IA treatment of a Brazilian population. The improvement was remarkable due to the complete engagement of patients in therapy, which contributed to the success of the treatment from a behavioral perspective, and gave patients the confidence to continue to manage Internet use in their lives.

The relationship between self-report of depression and media usage

Depression is a debilitating condition that adversely affects many aspects of a person's life and general health. Earlier work has supported the idea that there may be a relationship between the use of certain media and depression. In this study, we tested if self-report of depression (SRD), which is not a clinically based diagnosis, was associated with increased internet, television, and social media usage by using data collected in the Media Behavior and Influence Study (MBIS) database (N = 19,776 subjects). We further assessed the relationship of demographic variables to this association. These analyses found that SRD rates were in the range of published rates of clinically diagnosed major depression. It found that those who tended to use more media also tended to be more depressed, and that segmentation of SRD subjects was weighted toward internet and television usage, which was not the case with non-SRD subjects, who were segmented along social media use. This study found that those who have suffered either economic or physical life setbacks are orders of magnitude more likely to be depressed, even without disproportionately high levels of media use. However, among those that have suffered major life setbacks, high media users—particularly television watchers—were even more likely to report experiencing depression, which suggests that these effects were not just due to individuals having more time for media consumption. These findings provide an example of how Big Data can be used for medical and mental health research, helping to elucidate issues not traditionally tested in the fields of psychiatry or experimental psychology.