Gabriel Thorens

French Validation of the Internet Addiction Test

The main goal of the present study is to investigate the psychometric properties of a French version of the Internet Addiction Test (IAT) and to assess its relationship with both time spent on Internet and online gaming. The French version of the Youngs Internet Addiction Test (IAT) was administered to a sample of 246 adults. Exploratory and confirmatory analyses were carried out. We discovered that a one-factor model of the IAT has good psychometric properties and fits the data well, which is not the case of a six-factor model as found in previous studies using exploratory methods. Correlation analysis revealed positive significant relationships between IAT scores and both the daily duration of Internet use and the fact of being an online player. In addition, younger people scored higher on the IAT. The one-factor model found in this study has to be replicated in other IAT language versions.

Why do you play World of Warcraft? An in-depth exploration of self-reported motivations to play online and in-game behaviours in the virtual world of Azeroth

Massively multiplayer online role-playing games (MMORPGs) are video games in which players create an avatar that evolves and interacts with other avatars in a persistent virtual world. Motivations to play MMORPGs are heterogeneous (e.g. achievement, socialisation, immersion in virtual worlds). This study investigates in detail the relationships between self-reported motives and actual in-game behaviours. We recruited a sample of 690 World of Warcraft players (the most popular MMORPG) who agreed to have their avatar monitored for 8months. Participants completed an initial online survey about their motives to play. Their actual in-game behaviours were measured through the games official database (the Armory website). Results showed specific associations between motives and in-game behaviours. Moreover, longitudinal analyses revealed that teamwork- and competition-oriented motives are the most accurate predictors of fast progression in the game. In addition, although specific associations exist between problematic use and certain motives (e.g. advancement, escapism), longitudinal analyses showed that high involvement in the game is not necessarily associated with a negative impact upon daily living.

Motivations to Play Specifically Predict Excessive Involvement in Massively Multiplayer Online Role-Playing Games: Evidence from an Online Survey

Background: Several studies have linked massively multiplayer online role-playing games (MMORPGs) with possible problematic usage or internet addiction. Aims: The main goal of the present study was to assess links between motivations to play in MMORPGs and addictive involvement in such types of games. Methods: A total of 696 gamers responded to an online survey. Results and Conclusion: Five distinct motivations to play were identified in gamers: achievement, socializing, immersion, relaxing and escaping. Multiple regression analysis revealed that addictive MMORPG use patterns are predicted by achievement, escapism and socializing motives. Gender was also a significant predictor of problematic involvement in MMORPGs. Moreover, addictive MMORPG use positively correlated with the weekly time devoted to playing MMORPGs.

Does Self-Selection Affect Samples’ Representativeness in Online Surveys? An Investigation in Online Video Game Research

Background The number of medical studies performed through online surveys has increased dramatically in recent years. Despite their numerous advantages (eg, sample size, facilitated access to individuals presenting stigmatizing issues), selection bias may exist in online surveys. However, evidence on the representativeness of self-selected samples in online studies is patchy. Objective Our objective was to explore the representativeness of a self-selected sample of online gamers using online players’ virtual characters (avatars). Methods All avatars belonged to individuals playing World of Warcraft (WoW), currently the most widely used online game. Avatars’ characteristics were defined using various games’ scores, reported on the WoW’s official website, and two self-selected samples from previous studies were compared with a randomly selected sample of avatars. Results We used scores linked to 1240 avatars (762 from the self-selected samples and 478 from the random sample). The two self-selected samples of avatars had higher scores on most of the assessed variables (except for guild membership and exploration). Furthermore, some guilds were overrepresented in the self-selected samples. Conclusions Our results suggest that more proficient players or players more involved in the game may be more likely to participate in online surveys. Caution is needed in the interpretation of studies based on online surveys that used a self-selection recruitment procedure. Epidemiological evidence on the reduced representativeness of sample of online surveys is warranted.

Characteristics and treatment response of self-identified problematic Internet users in a behavioral addiction outpatient clinic

Aims: Controversies remain about the validity of the diagnosis of problematic Internet use. This might be due in part to the lack of longitudinal naturalistic studies that have followed a cohort of patients who self-identify as having Internet-related problems. Methods: This retrospective study included 57 patients who consulted the Geneva Addiction Outpatient Clinic from January 1, 2007, to January 1, 2010. Patients underwent an initial clinical psychiatric evaluation that included collection of data on socio-demographics, method of referral, specific Internet usage, psychiatric diagnosis, and Internet Addiction Test (IAT) and Clinical Global Impression Scale (CGI) scores. Treatment consisted of individual psychotherapeutic sessions. Results: Of these patients, 98% were male and 37% were 18 years or younger. Most patients were online gamers (46% playing massively multiplayer online role-playing games). The mean IAT score was 52.9 (range 20–90). Sixty-eight percent of patients had a co-morbid psychiatric diagnosis, with social phobia being the most prevalent (17.8%). Patients who remained in treatment (dropout rate 24%) showed an overall improvement of symptoms: 38.6% showed significant or average improvement on their CGI score, 26.3% showed minimal improvement, and 14% showed no change. Conclusions: Our results support the hypothesis that there are specific types of Internet use, with online gaming mainly affecting young male patients. As Internet addiction is not yet an official diagnosis, better instruments are needed to screen patients and to avoid false-negative and false-positive diagnoses. Successful care should integrate the treatment of co-morbid symptoms and involve families and relatives in the therapeutic process.

French validation of the compulsive internet use scale (CIUS).

The popularity of using the Internet and related applications has grown in European countries in the last two decades. Despite numerous advantages in terms of optimizing communications among individuals and social systems, the use of the Internet may be associated with excessive use and possible Internet addiction. The goals of the current study were to validate a French version of the Compulsive Internet Use Scale (CIUS) and to assess its links with common psychiatric symptoms such as depression (assessed with the Beck Depression Inventory: BDI), anxiety (assessed with the Trait Anxiety Inventory: STAI) and alcohol misuse (assessed with the Alcohol Use Disorder Identification Test: AUDIT). The French versions of the CIUS, BDI, STAI and AUDIT were administered to a sample of Internet users. Exploratory and confirmatory analyses, correlation analysis and logistic regression were performed. As previously found with the original version, a one-factor model of the CIUS had good psychometric properties and fit the data well. Excessive use of the Internet was associated with depressive symptoms.

Validation of the French version of the alcohol, smoking and substance involvement screening test (ASSIST)

Background: The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was developed to detect substance use disorders. Aims: The objective of the present study was to evaluate the psychometric properties of the French version of ASSIST in various clinical groups with different levels of substance use. Methods: 150 subjects were recruited from clients attending primary health care, psychiatric and addiction treatment facilities. Measures included ASSIST, Addiction Severity Index (ASI), Mini-International Neuropsychiatric Interview (MINI-Plus), Alcohol Use Disorders Identification Test (AUDIT) and Revised Fagerstrom Tolerance Questionnaire-Smoking (RTQ). Results and Conclusion: Concurrent validity was demonstrated by significant correlations between ASSIST scores and scores from ASI, AUDIT and RTQ, as well as significantly greater ASSIST scores for patients with a MINI-Plus diagnosis of abuse or dependence. The ASSIST questionnaire was found to have high internal consistency for the total substance involvement as well as for specific substance involvement as assessed with Cronbach’s α, ranging from 0.74 to 0.93. When possibly computed, ASSIST cutoff scores have interesting sensitivity and specificity for discrimination between use and abuse and between abuse and dependence. The findings demonstrated that the French version of ASSIST is a valid screening test for identifying substance use disorders in various health care settings, including psychiatric settings.

Validation of the French version of the alcohol, smoking and substance involvement screening test (ASSIST) in the elderly

BackgroundSubstance use disorders seem to be an under considered health problem amongst the elderly. The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), was developed by the World Health Organization to detect substance use disorders. The present study evaluates the psychometric properties of the French version of ASSIST in a sample of elderly people attending geriatric outpatient facilities (primary care or psychiatric facilities).MethodsOne hundred persons older than 65 years were recruited from clients attending a geriatric policlinic day care centre and from geriatric psychiatric facilities. Measures included ASSIST, Addiction Severity Index (ASI), Mini-International Neuropsychiatric Interview (MINI-Plus), Alcohol Use Disorders Identification Test (AUDIT), Revised Fagerstrom Tolerance Questionnaire-Smoking (RTQ) and MiniMental State(MMS).ResultsConcurrent validity was established with significant correlations between ASSIST scores, scores from ASI, AUDIT, RTQ, and significantly higher ASSIST scores for patients with a MINI-Plus diagnosis of abuse or dependence. The ASSIST questionnaire was found to have high internal consistency for the total substance involvement along with specific substance involvement as assessed by Cronbach’s α, ranging from 0.66, to 0.89 .ConclusionsThe findings demonstrate that ASSIST is a valid screening test for identifying substance use disorders in elderly.

Factor structure of the Internet Addiction Test in online gamers and poker players

Background The Internet Addiction Test (IAT) is the most widely used questionnaire to screen for problematic Internet use. Nevertheless, its factorial structure is still debated, which complicates comparisons among existing studies. Most previous studies were performed with students or community samples despite the probability of there being more problematic Internet use among users of specific applications, such as online gaming or gambling. Objective To assess the factorial structure of a modified version of the IAT that addresses specific applications, such as video games and online poker. Methods Two adult samples—one sample of Internet gamers (n=920) and one sample of online poker players (n=214)—were recruited and completed an online version of the modified IAT. Both samples were split into two subsamples. Two principal component analyses (PCAs) followed by two confirmatory factor analyses (CFAs) were run separately. Results The results of principal component analysis indicated that a one-factor model fit the data well across both samples. In consideration of the weakness of some IAT items, a 17-item modified version of the IAT was proposed. Conclusions This study assessed, for the first time, the factorial structure of a modified version of an Internet-administered IAT on a sample of Internet gamers and a sample of online poker players. The scale seems appropriate for the assessment of such online behaviors. Further studies on the modified 17-item IAT version are needed.

Prevalence and characteristics of addictive behaviors in a community sample: A latent class analysis

While addictions to substances such as alcohol, tobacco, and other drugs have been extensively investigated, interest has been growing in potential non-substance-related addictive behaviors (e.g., excessive gambling, buying or playing video games). In the current study, we sought to determine the prevalence and characteristics of a wide range of addictive behaviors in a general population sample and to identify reliable subgroups of individuals displaying addictive behaviors. Seven hundred seventy participants completed an online survey. The survey screened for the presence and characteristics of the main recognized substance and behavioral addictions (alcohol, tobacco, cannabis, other drugs, gambling, compulsive shopping, intensive exercise, Internet and mobile phone overuse, intensive work involvement, and overeating) in a three-month period. Key aspects of addiction were measured for each reported behavior, including negative outcomes, emotional triggers (positive and negative emotional contexts), search for stimulation or pleasure, loss of control, and cognitive salience. Latent class analysis allowed us to identify three theoretically and clinically relevant subgroups of individuals. The first class groups problematic users, i.e., addiction-prone individuals. The second class groups at-risk users who frequently engage in potentially addictive behaviors to regulate emotional states (especially overinvolvement in common behaviors such as eating, working, or buying). The third class groups individuals who are not prone to addictive behaviors. The existence of different groups in the population sheds new light on the distinction between problematic and non-problematic addiction-like behaviors.