Background and aims Following the recognition of 'internet gaming disorder' (IGD) as a condition requiring further study by the DSM-5, 'gaming disorder' (GD) was officially included as a diagnostic entity by the World Health Organization (WHO) in the 11th revision of the International Classification of Diseases (ICD-11). However, the proposed diagnostic criteria for gaming disorder remain the subject of debate, and there has been no systematic attempt to integrate the views of different groups of experts. To achieve a more systematic agreement on this new disorder, this study employed the Delphi expert consensus method to obtain expert agreement on the diagnostic validity, clinical utility and prognostic value of the DSM-5 criteria and ICD-11 clinical guidelines for GD. Methods A total of 29 international experts with clinical and/or research experience in GD completed three iterative rounds of a Delphi survey. Experts rated proposed criteria in progressive rounds until a pre-determined level of agreement was achieved. Results For DSM-5 IGD criteria, there was an agreement

Objectives: There are presently no data available concerning Internet addiction (IA) problems among adolescents in Canada and the province of Quebec. The goal of this study is thus to document and compare the influence of gender on Internet use and addiction.Method: The study data were collected from a larger research project on gambling among adolescents. Activities conducted online (applications used and time spent) as well as answers to the Internet Addiction Test (IAT) were collected from 3938 adolescents from grades 9 to 11. The two most often employed cut-off points for the IAT in the literature were documented: (40-69 and 70þ) and (50þ).Results: Boys spent significantly more time on the Internet than did girls. A greater proportion of the girls made intense use of social networks, whereas a greater proportion of the boys made intense use of massively multiplayer online role-playing games, online games, and adult sites. The proportion of adolescents with a potential IA problem varied according to the cut-off employed. When the cut-off was set at 70þ, 1.3% of the adolescents were considered to have an IA, while 41.7% were seen to be at risk. At a 50þ cut-off, 18% of the adolescents were considered to have a problem. There was no significant difference between the genders concerning the proportion of adolescents considered to be at risk or presenting IA problems. Finally, analysis of the percentile ranks would seem to show that a cut-off of 50þ better describes the category of young people at risk.

Background and Aims Few meta‐analyses have been conducted to pool the most constant risk factors for problem gambling. The present meta‐analysis summarizes effect sizes of the most frequently assessed problem gambling risk factors, ranks them according to effect size strength and identifies any differences in effects across genders. Method A random‐effects meta‐analysis was conducted on jurisdiction‐wide gambling prevalence surveys on the general adult population published until March 2019. One hundred and four studies were eligible for meta‐analysis. The number of participants varied depending on the risk factor analyzed, and ranged from 5327 to 273 946 (52% female). Weighted mean odds ratios were calculated for 57 risk factors (socio‐demographic, psychosocial, gambling activity and substance use correlates), allowing them to be ranked from largest to smallest with regard to their association with problem gambling. Results The highest odds ratio (OR) was for internet gambling [OR = 7.59, 95% confidence interval (CI) = 5.24, 10.99, P < 0.000] and the lowest was for employment status (OR = 1.03, 95% CI = 0.87, 1.22, P = 0.718). The largest effect sizes were generally in the gambling activity category and the smallest were in the socio‐demographic category. No differences were found across genders for age‐associated risk. Conclusions A meta‐analysis of 104 studies of gambling prevalence indicated that the most frequently assessed problem gambling risk factors with the highest effect sizes are associated with continuous‐play format gambling products.

Authors' contributions: OL-F (principal investigator) wrote the first draft, with CD and LJ, who supported the statistical analysis and initial interpretation of the data. JB, DJK, HMP, MDG and OL-F supported the review of the second draft. JB, AS, MDG, and OL-F also supported the review of the third draft. All authors reviewed the manuscript adding comments and suggestions and oversaw the second and third drafts. All co-authors contributed to adapting the short version of the CIUS into their 3 languages, collecting data in their respective countries, and revising the subsequent versions until the final write-up of the manuscript.

Internet gambling among adolescents is a growing phenomenon that has received little attention to date. This study examines associations between Internet gambling and the severity of gambling, substance use (SU), and delinquent behavior among 1,870 Quebec students aged 14 to 18. The results show a higher proportion of Internet-gambling (IG) students reporting problematic substance use and delinquency, compared with nongamblers (NG) and non-Internet gamblers (NIG). Furthermore, a higher proportion of at-risk and probable pathological gamblers are found among IG compared with NIG. A moderating effect (Baron & Kenny, 1986) of the gambler categories (NIG, IG) was found in the relationship between the associated problems and the severity of gambling. Among IG, the severity of delinquency and of substance use contributes to explaining gambling severity whereas, among NIG, the severity of delinquency is the only factor that significantly contributes to such an explanation. Discussion of the results is based on Jessor, Donovan, and Costa's (1991) general deviance syndrome theory.