Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among Iranian adolescents and young adults: a structural equation model in a cross-sectional study

Internet addiction has become an increasingly researched area in many Westernized countries. However, there has been little research in developing countries such as Iran, and when research has been conducted, it has typically utilized small samples. This study investigated the relationship of Internet addiction with stress, depression, anxiety, and loneliness in 1,052 Iranian adolescents and young adults. The participants were randomly selected to complete a battery of psychometrically validated instruments including the Internet Addiction Test, Depression Anxiety Stress Scale, and the Loneliness Scale. Structural equation modeling and Pearson correlation coefficients were used to determine the relationship between Internet addiction and psychological impairments (depression, anxiety, stress and loneliness). Pearson correlation, path analysis, multivariate analysis of variance (MANOVA), and t-tests were used to analyze the data. Results showed that Internet addiction is a predictor of stress, depression, anxiety, and loneliness. Findings further indicated that addictive Internet use is gender sensitive and that the risk of Internet addiction is higher in males than in females. The results showed that male Internet addicts differed significantly from females in terms of depression, anxiety, stress, and loneliness. The implications of these results are discussed

Internet addiction: a systematic review of epidemiological research for the last decade

In the last decade, Internet usage has grown tremendously on a global scale. The increasing popularity and frequency of Internet use has led to an increasing number of reports highlighting the potential negative consequences of overuse. Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after 2000, (iii) include an analysis relating to Internet addiction, (iv) include a minimum of 1000 participants, and (v) provide a full-text article published in English using the database Web of Science. Assessment tools and conceptualisations, prevalence, and associated factors in adolescents and adults are scrutinised. The results reveal the following. First, no gold standard of Internet addiction classification exists as 21 different assessment instruments have been identified. They adopt official criteria for substance use disorders or pathological gambling, no or few criteria relevant for an addiction diagnosis, time spent online, or resulting problems. Second, reported prevalence rates differ as a consequence of different assessment tools and cut-offs, ranging from 0.8% in Italy to 26.7% in Hong Kong. Third, Internet addiction is associated with a number of sociodemographic, Internet use, and psychosocial factors, as well as comorbid symptoms and disorder in adolescents and adults. The results indicate that a number of core symptoms (i.e., compulsive use, negative outcomes and salience) appear relevant for diagnosis, which assimilates Internet addiction and other addictive disorders and also differentiates them, implying a conceptualisation as syndrome with similar etiology and components, but different expressions of addictions. Limitations include the exclusion of studies with smaller sample sizes and studies focusing on specific online behaviours. Conclusively, there is a need for nosological precision so that ultimately those in need can be helped by translating the scientific evidence established in the context of Internet addiction into actual clinical practice

Internet Addiction and the Relationship to Self and Interpersonal Functioning Within the Alternative Model for Personality Disorders (AMPD): Implications for Psychosocial Development

Internet addictive use inclusive of inextricably interconnected mobile devices, applications, and social media predicts diminished Self and Interpersonal functioning. Internet addiction research is burdened by conflicting theoretical views, lack of standardized definitions and criteria, and the use of assessment measures adapted from those used for substance use disorders. Alternative and dimensional diagnostic models for internet addiction through a psychosocial developmental lens might further understanding of Internet addiction and reduce challenges which impact the ability to advance research and achieve clinically useful, culturally informed, and evidence-based practices for the assessment and treatment of Internet addiction

A link between internet addiction and attention deficit hyperactivity disorder symptoms in Pakistani undergraduates

The current research aims to establish a link between internet addiction and Attention Deficit Hyperactivity Disorder (ADHD) Symptoms among Pakistani Undergraduates. The sample comprised of (N =1020) undergraduates from Bahauddin Zakariya University Multan (BZU) and The Islamia University of Bahawalpur (IUB), Pakistan, including 255 male and 255 female from each university. A-Priori sample size was estimated with 974 participants, to consider sample size sufficiency, twenty three respondents were taken additionally from each university. There were two questionnaires employed; Chen Internet Addiction Scale by © Ko et al. (2005), and ADHD Adult Self Reporting Scale (ASRS) by © Kessler et al. (2005). Cross-sectional survey research design was used. Data were collected through purposive sampling and analyzed by use of SPSS (21.0). Regression, t-Test, mean, and standard deviation were employed. The result depicts; overall 28% students fulfill the criteria of internet addiction, and comparatively BZU students have higher prevalence of internet addiction with ADHD symptoms as compared to IUB. Likewise, male students are found more vulnerable towards ADHD symptoms and internet addiction as compared to female students. Study proved the significant relation of internet addiction with ADHD symptoms (0.082*). Finally, implications, significance of the study, and limitation are enclosed

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. [Abstract copyright: © 2021 The Author(s).

Exploring the Relationship between Smartphone Addiction, Quality of Life, and Personality Traits in University Students

Objective: This study aimed to explore the dynamics of the relationship among smartphone addiction, quality of life, and personality characteristics in university students. Method: This correlational and descriptive research was conducted to investigate the relationship between smartphone addiction, quality of life, and personality traits among university students. Using a nonprobability random sampling method, 496 university students were selected. Data collection involved the Student Information Form, Smartphone Addiction Scale, Symptom Checklist (SCL-90-R), Revised Eysenck Personality Questionnaire-Abridged Form (EPQR-A), and the WHO Quality of Life Scale-Short Form (WHOQOL-BREF). Statistical analysis was conducted with SPSS 25.0, utilizing Chi-square tests, independent sample t-tests, and Pearson's correlation analysis. Results: Out of 496 students (average age of 20.52), 59.87% were identified as smartphone addicts based on the Smartphone Addiction Scale-Short Version. A notable difference was found by study year (P = 0.009) and socioeconomic status (P = 0.003). Participants with smartphone addiction registered higher SCL-90-r scores for conditions like Obsessive Compulsive Disorder, Interpersonal Sensitivity, and Psychoticism. The Eysenck Personality Inventory highlighted that the Psychoticism score was significantly higher in the group with smartphone addiction (P = 0.001). A negative correlation between smartphone addiction scores and general health (WHOQoL) was identified, whereas a positive correlation with SCL-90-R's Psychoticism dimension score was observed (P < 0.001). Conclusion: Smartphone addiction is widespread among university student population. The study indicates that smartphone addiction not only impacts the individual's quality of life but also is associated with personality disorders, and these problems intensify with the severity of addiction. The findings underscore the need for interventions and educational programs to address smartphone addiction in this population

Exploring internet gaming disorder: an updated perspective of empirical evidence (from 2016 to 2021)

Background and aims: Since the acceptance of Internet gaming disorder (IGD) as a "disorder due to addictive behaviors", research has proliferated exponentially. The present review focuses on the conceptualization of IGD, its diagnosis and assessment, associated factors and existing prevention and treatment plans to address it. Results and conclusions: The discrepancies between the diagnostic criteria for IGD proposed by the two central diagnostic entities, as well as the questioning of their clinical validity, have generated multiple proposals for the diagnosis and psychometric evaluation of IGD. Likewise, there have been numerous suggestions to prevent this pathology, with the involvement of governments, the gaming industry and health institutions. Finally, multiple treatment plans have been proposed, both pharmacological and psychological, although only the efficacy of cognitive behavioral therapy has been tested. It is essential, therefore, to delve deeper into this disorder by addressing the central limitations of the current literature

The Role of Voluntary Function in Predicting Addiction Potential: A Survey on Iranian Red Crescent Societies

Background and Aim:Considering Voluntary Function, the purpose of the present study was to predictthe addiction potential among some members of the Iranian Red Crescent Society (IRCS).Materials and Methods:The research method was descriptive-correlational. The statistical population of the present study was all members of the Iranian Red Crescent Society (IRCS). The sampling method was multi-stage cluster sampling, in which 620 active volunteers of the IRCS from 31 province and 175 cities of Iran (48.7% female and 50.1 Male mean age 23.27±3.32, range 14–31 years)were selected for this research.The research data was collected using theIranian Addiction Potential Scale (IAPS) and Voluntary Function Inventory (VFI). Results:Findings proved that there was a negative significant correlation between the AP and all measurements of VF such as protective enhancement, understanding, career, values, and motives; meaning that the more time youth spent on participating in voluntary activities, the less likely they sought to resort to misusing AP. Findings of the multiple regression has proved that volunteerism could predict 15% of changes in the AP as a criterion variable.Conclusion:Voluntary function can increase happiness, mental health, expand interpersonal relationships and social networking, self-esteem and social skills in individuals. These skills can reduce the high-risk behaviors, including addiction. Therefore, it is necessary to pay attention to this valuable factors in preventive programs

Flow on the Internet: a longitudinal study of Internet addiction symptoms during adolescence

Internet Addiction (IA) constitutes an excessive Internet use behavior with a significant impact on the user’s well-being. Online flow describes the users’ level of being absorbed by their online activity. The present study investigated age-related, gender, and flow effects on IA in adolescence. The sample comprised 648 adolescents who were assessed twice at age 16 and 18 years. IA was assessed using the Internet Addiction Test and online flow was assessed using the Online Flow Questionnaire. A three-level hierarchical model estimated age-related, gender, and online flow effects on IA symptoms and controlled for clustered random effects. IA symptoms decreased over time (for both genders) with a slower rate in males. Online flow was associated with IA symptoms and this remained consistent over time. Findings expand upon the available literature suggesting that IA symptoms could function as a development-related manifestation at the age of 16 years, while IA-related gender differences gradually increase between 16 and 18 years. Finally, the association between online flow and IA symptoms remained stable independent of age-related effects. The study highlights individual differences and provides directions for more targeted prevention and intervention initiatives for IA