Problematic Internet use or Internet addiction?

The aim of this paper is to review the gradually evolving body of the literature on Internet addiction. Two schools of thought have emerged: those authors who believe that Internet addiction merits classification as a new or emerging psychiatric disorder in its own right, and those who define certain individuals as having problematic Internet use in relation to specific online activities, such as gambling, email or pornography. Despite a total lack of methodologically sound research, the evidence appears to support the second perspective. It appears that individuals who are premorbidly vulnerable, especially with a history of impulse control and addictive disorders, are especially at risk of using the Internet in a problematic way. Aside from the personal and social implications of this finding, this behavior has important implications for the workplace and may be resulting in substantial loss of productivity in companies who are not implementing Internet governance policies.     

The influence of juvenile preference for online social interaction on problematic Internet use: The moderating effect of sibling condition and the moderated moderating effect of age cohort

Previous studies have demonstrated that the preference for online social interaction (POSI) is one of the most important factors affecting problematic Internet use (PIU). As self-worth orientation theory suggests, however, only-child could buffer the effect of POSI on PIU, given the fact that children without siblings (the only-child) typically enjoy more resources from parents than do children with siblings. As children grow, particularly after school age, they would become more susceptible to the peers' influence than parents'. Thus, the buffering effect of only-child would decrease along with age due to the lessening effect of parents. To examine the moderating effect of sibling condition (only-child vs. children with siblings) and moderated moderating effect of age cohort (adolescent vs. emerging adult) on the relationship between POSI and PIU, we collected data from 12,051 Chinese students and measured their POSI, PIU, sibling condition, age and other demographics. The results showed that (a) the PIU score of only-child was significantly lower than that of children with siblings; (b) the POSI significantly predicted the PIU; (c) sibling condition moderated the relationship between POSI and PIU, and age cohort further moderated the moderation of sibling condition; (d) age cohort moderated the relationship between POSI and PIU. The implications for the prevention of Internet addictive behaviors among adolescents were discussed.     

Online flow experiences,problematic Internet use and Internet procrastination

This study explores the theoretical and practical overlap between online procrastination, problematic Internet use, and flow on the Internet. At the theoretical level there is a great deal of interrelatedness between these three concepts (for example, all three concepts deal with the issue of a lack of control over time spent online and acknowledge the distracting and entertaining properties of the Internet); yet, one can also argue that the concepts are theoretically distinct (for example, flow is a total absorption in the work at hand, whereas procrastination is the avoidance of the work at hand). All three concepts have been used to describe either desirable (flow) or undesirable (procrastination and problematic Internet use) states when online. In this study a sample of 1399 Internet users was obtained from a survey placed on a South African online information technology magazine. Using the problematic Internet use questionnaire (PIUQ), the distraction subscale of the online cognition scale (OCS), and a modified version of the Flow scale it was found that there were strong positive relationships between all three variables (the strongest relationship being between problematic Internet use and online procrastination). The results also suggested that procrastination may be a connector between PIU and flow; also that PIU is a connector between procrastination and flow, but that flow is independent of the relationship between PIU and procrastination. These results are discussed in relation to previous studies on problematic Internet use and in particular, whether these relationships are unique to respondents involved in the information technology sector.     

Psychometric properties of the Problematic Internet Use Questionnaire

Several instruments have been designed to measure problems associated with excessive, compulsive, or addictive use of the Internet. One such instrument, the 18-item Problematic Internet Use Questionnaire, was recently published with data supporting a three subscale model (Demetrovics et al., 2008). These researches utilized an online format with a sample taken from the general population of Hungary. We utilized an American college student sample and a paper and pencil format to perform a confirmatory factor analysis of the PIUQ. In addition, we examined the reliability and construct validity of the PIUQ by examining the scales’ relationship with several indices of psychological and physical health. CFA results indicate a barely adequate and not completely problem free three factor model for the PIUQ (χ² = 477.40; root mean square error = .097; comparative fit index = .831; Tucker Lewis coefficient = .804). Cronbach’s α for the total scale was .91 while the Cronbach’s α for each subscale were .81, .77, and .79. Construct validity for the model is demonstrated with significant correlations between the subscales and several indices of psychological and physical health. Suggestions for further research are provided.     

Cognitive and psychological predictors of the negative outcomes associated with playing MMOGs (massively multiplayer online games)

This study integrates research on problematic Internet use to explore the cognitive and psychological predictors of negative consequences associated with playing massively multiplayer online games (MMOGs). Participants recruited from online discussion boards completed self-report measures on their online game-related cognitions and psychological condition, social skills, psychological well-being, and negative life outcomes associated with game playing. The results demonstrated the important roles that psychological dependency and deficient self-regulation play in negative consequences associated with online gaming. The results also indicated that psychological dependency on MMOGs was predicted by cognitive preference for a virtual life—a construct that is negatively related to social control skills.     

Internet use and psychological well-being among college students: A latent profile approach

Studies of correlations between Internet use and psychological well-being (PW) have produced mixed results. The present study used a latent profile analysis to distinguish among populations in terms of PW profiles, and then used a multinomial logistic regression to determine how online entertainment, social use, problematic Internet use (PIU), and gender predicted each latent PW profile. The initial sample consisted of 757 Taiwanese college freshmen. Four ordered latent groups were established as follows: good PW, normative, minor-disadvantageous, and severe-disadvantageous. No latent PW profile stability was found in subsequent years: three groups (normative, minor-disadvantageous and severe-disadvantageous) emerged in Year 2, and only one group emerged in Year 3. The results indicate (a) no relationship between PW and online entertainment or gender, (b) greater PIU increased the likelihood of disadvantageous PW and decreased the probability of good PW, and (c) greater use of online resources for social purposes was related to increased probability of a participant being in the good PW group, but not associated with fewer PW problems.     

Stressful life events and problematic Internet use by adolescent females and males: A mediated moderation model

In a sample of 660 adolescents (M age = 14.14 years; 55% females), this study examined a mediated moderation model in which temperamental effortful control and sensation seeking moderated the relationship between stressful life events and problematic Internet use (PIU), and this moderating effect was mediated by maladaptive cognitions. Findings revealed that effortful control buffered the risk of stressful life events for females’ PIU, and this effect was mediated through maladaptive cognitions. The risk-buffering effect of effortful control for males’ PIU was not significant, although it buffered the risk of maladaptive cognitions for PIU. The risk-enhancing effect of sensation seeking was not significant in both female and male adolescents. In addition, males scored higher on risks but lower on protective factors of PIU than females, which explain the gender difference in PIU. The authors discuss the theoretical and practical implications of these findings.     

Cross-lagged relationships between problematic Internet use and lifestyle changes

Cross-lagged analysis of panel survey data collected from Taiwanese college students (initially 387 males and 370 females) was used to examine the temporal relationship between problematic Internet use (PIU) and lifestyle changes during the first year in college. We hypothesized that a reciprocal relationship might exist between PIU and lifestyle changes. Structural equation modeling was adopted to test several nested cross-lagged relationship models. The results showed that four measures of lifestyle changes and PIU were moderately to highly stable across one year. Moreover, PIU in freshman year predicted negative changes in lifestyle in the following year, including a reduction of physical and social activities, irregular diet and unhealthy sleep. Lifestyle changes in freshman year, in contrast, did not predict PIU in sophomore year; the hypothesized reciprocal relationship between PIU and lifestyle changes was not warranted. Implications and limitations are discussed.     

Internet addiction among adolescents in Lebanon

Internet addiction has been a subject of research since 1996. In step with this trend, this study aims to illuminate Internet addiction in Lebanon based on research evidence. The timing of this study coincides with the growing rate of penetration of Internet service across the country and with current plans to improve this service. This study investigates Internet usage among adolescents, who are the most vulnerable to Internet addiction in the population. Permission to access schools to conduct this research was obtained from the Ministry of Education and Higher Education. A web-based questionnaire was completed by 833 intermediate and secondary students from public and private schools. The questionnaire included items on demographic information and Internet usage and an Arabic version of Young’s Internet Addiction Test (YIAT). The results showed that 4.2% of the sample had significant problems. Furthermore, the more problematic Internet use (PIU) was, the less the Internet was used for information and research, and the more it was used for entertainment. PIU is driven by deficiency needs fuelled by the use of interactive applications. The more deficient the need, the greater the obsession with top-notch interactive applications, and the less frequent the usage of non-interactive applications.     

Factorial validity of problematic Internet use scales

There exists a number of multidimensional measurement scales for problematic Internet use (PIU) with varying factor structures. This study reviews the factor analytic techniques used to develop these measures and discusses their implications for the factorial validity, particularly discriminant validity, of these PIU scales. To further illustrate these points, we reformulate the four-factor Online Cognition Scale into a more parsimonious two-factor measure (i.e., dependency and distraction) and demonstrate its factorial validity as well as robustness across student and working adult samples. Contributions of this research are discussed.     

Problematic Internet use and psychosocial well-being among MMO players

The current study examined problematic Internet use (PIU) among people who play MMO games and sought to determine whether aspects of the MMO experience are useful predictors of PIU. The study sought to determine whether game-related variables could predict PIU scores after accounting for their relationships with psychosocial well-being. Novel methods allowed us, for the first time, to connect in-game behaviors with survey results of over 4000 MMO players. The results revealed that MMO gaming variables contributed a substantively small, but statistically significant amount of explained variance to PIU scores.     

Theory and measurement of generalized problematic Internet use: A two-step approach

This study tested an updated cognitive-behavioral model of generalized problematic Internet use and reports results of a confirmatory analysis of the Generalized Problematic Internet Use Scale 2 (GPIUS2). Overall, the results indicated that a preference for online social interaction and use of the Internet for mood regulation, predict deficient self-regulation of Internet use (i.e., compulsive Internet use and a cognitive preoccupation with the Internet). In turn, deficient self-regulation was a significant predictor of the extent to which one’s Internet use led to negative outcomes. Results indicated the model fit the data well and variables in the model accounted for 27% of the variance in mood regulation scores, 65% of variance in participants’ deficient self-regulation scores, and 61% of variance in the negative outcome scores.     

Problematic internet use among older adolescents: A conceptual framework

Problematic internet use (PIU) is of growing significance to adolescent health, but lacks a strong conceptual framework to guide ongoing work. We used Concept Mapping methodology to construct a theoretical framework describing PIU. This validated approach includes five steps: preparation, generation (brainstorming), structuring (sort and rank), representation (statistical analysis) and interpretation (focus groups). Analysis included hierarchical cluster analysis over the overall square similarity matrix to determine a cluster map. A total of 193 college students participated in one or more phases of the study. Students were from 13 universities across 10 states, had an average age of 19.4 years (SD = 1.8), were 67% female and 77% Caucasian. A total of 20 health professionals participated. The seven clusters depicted on the PIU Concept Map include: psychosocial risk factors, physical impairment, emotional impairment, social/functional impairment, risky internet use, impulsive internet use and internet use dependence. The stress value for the fit of the multidimensional solution to the structuring data was 0.28, indicating adequate fit. The concept map may be used towards development of a future comprehensive model of PIU as well as scale development efforts.