Introduction: The inclusion of Internet gaming disorder (IGD) in the DSM-5 (Section 3) has given rise to much scholarly debate regarding the proposed criteria and their operationalization.The present study's aim was threefold: to (i) develop and validate a brief psychometric instrument (Ten-Item Internet Gaming Disorder Test; IGDT-10) to assess IGD using definitions suggested in DSM-5, (ii) contribute to ongoing debate regards the usefulness and validity of each of the nine IGD criteria (using Item Response Theory [IRT]), and (iii) investigate the cut-off threshold suggested in the DSM-5.Methods: An online gamer sample of 4,887 gamers (age range 14-64 years, mean age 22.2 years [SD=6.4], 92.5% male) was collected through Facebook and a gaming-related website with the cooperation of a popular Hungarian gaming magazine. A shopping voucher of approx. 300 Euros was drawn between participants to boost participation (i.e., lottery incentive). Confirmatory factor analysis and a structural regression model were used to test the psychometric properties of the IGDT-10 and IRT analysis was conducted to test the measurement performance of the nine IGD criteria. Finally, latent class analysis along with sensitivity and specificity analysis were used to investigate the cut-off threshold proposed in the DSM-5.Results: Analysis supported IGDT-10's validity, reliability, and suitability to be used in future research. Findings of the IRT analysis suggest IGD is manifested through a different set of symptoms depending on the level of severity of the disorder. More specifically, "continuation", "preoccupation", "negative consequences" and "escape" were associated with lower severity of IGD, while "tolerance", "loss of control", "giving up other activities" and "deception" criteria were associated with more severe levels. "Preoccupation" and "escape" provided very little information to the estimation IGD severity. Finally, the DSM-5 suggested threshold appeared to be supported by our statistical analyses.Conclusions: IGDT-10 is a valid and reliably instrument to assess IGD as proposed in the DSM-5. Apparently the nine criteria do not explain IGD in the same way, suggesting that additional 2 studies are needed to assess the characteristics and intricacies of each criterion and how they account to explain IGD.

Background and aimsSelf-exclusion programs offer an intervention for individuals with problem gambling behavior. However, these programs are insufficiently used. This review describes sociodemographic features and gambling behavior of self-excluders as well as goals and motives for initiating self-exclusion from terrestrial and online gambling. In addition, use of further professional help and barriers to self-exclusion are examined.MethodsBased on systematic literature search and quality assessment, n = 16 original studies (13 quantitative, 2 qualitative, and 1 mixed method) published between 1997 and 2017 in English or German language were analyzed. Results are presented for online and terrestrial gambling separately.ResultsOnline self-excluders were on average 10 years younger than terrestrial self-excluders. Self-exclusion was mainly motivated by financial problems, followed by feelings of losing control and problems with significant others. Financial problems and significant others were less important for online than for terrestrial gamblers. Main barriers for self-exclusion were complicated enrollment processes, lack of complete exclusion from all venues, little support from venue staff, and lack of adequate information on self-exclusion programs. Both self-excluders from terrestrial and online gambling had negative attitudes toward the need of professional addiction care.ConclusionTo exploit the full potential of self-exclusion as a measure of gambler protection, its acceptance and its utilization need to be increased by target-group-specific information addressing financial issues and the role of significant others, simplifying the administrative processes, facilitating self-exclusion at an early stage of the gambling career, offering self-determined exclusion durations, and promoting additional use of professional addiction care.

Background and aims: As only a minority of pathological gamblers (PGr) presents for treatment, further knowledge about help-seeking behavior is required in order to enhance treatment utilization. The present study investigated factors associated with treatment participation in gamblers in Germany. As subclinical pathological gamblers (SPGr, fulfilling one to four DSM-IV-criteria) are target of early intervention due to high risk of transition to pathological gambling, they were subject of special interest. Methods: The study analyzed data from a general population survey (n = 234, SPGr: n = 198, PGr: n = 36) and a treatment study (n = 329, SPGr: n = 22, PGr: n = 307). A two-step weighting procedure was applied to ensure comparability of samples. Investigated factors included socio-demographic variables, gambling behavior, symptoms of pathological gambling and substance use. Results: In PGr, regular employment and non-German nationality were positively associated with being in treatment while gambling on the Internet and gaming machines and fulfilling more DSM-IV-criteria lowered the odds. In SPGr, treatment attendance was negatively associated with married status and alcohol consumption and positively associated with older age, higher stakes, more fulfilled DSM-IV criteria and regular smoking. Conclusions: In accordance to expectations more severe gambling problems and higher problem awareness and/or external pressure might facilitate treatment entry. There are groups with lower chances of being in treatment: women, ethnic minorities, and SPGr. We propose target group specific offers, use of Internet-based methods as possible adaptions and/or extensions of treatment offers that could enhance treatment attendance.

Background and AimsDSM-5 provides nine diagnostic criteria for gambling disorder. All criteria have a pre-assumed equal diagnostic impact and are applied to all individuals and groups in an equal manner. The aims of the study are to analyse the structure underlying the diagnosis and to assess whether DSM-5 is equally applicable to different groups of gamblers.MethodsData from the 2009 German Epidemiological Survey of Substance Abuse and from a study on slot machine gamblers were used. Item Response Theory analysis was applied to estimate discrimination and severity parameters of the criteria. With the use of Differential Item Functioning analysis, potential criterion biases were analysed. We analysed data from 107 participants from the general population sample and 376 participants from the slot machine gamblers’ sample who answered a 19-item diagnostic questionnaire based on the DSM criteria for gambling disorder.ResultsA single underlying factor, the severity of gambling disorder, was identified in both samples. In the general population sample the criteria of preoccupation and chasing were least severe and showed low discriminatory power. Bailout, withdrawal and jeopardized matters criteria had highest severity and discriminatory power. The comparison of the two samples revealed two criterion biases in the preoccupation and tolerance criteria.ConclusionsThe structure underlying the criteria is unidimensional but the disorder is manifested differently depending on disorder severity. The assumed equal impact of each criterion lacks support in the findings. The DSM-5 criteria measure a partially different construct in slot machine gamblers than in gamblers in the general population.

Background and Aims In psychiatric diagnosis, different symptoms of gambling problems are usually aggregated into a single indicator of disorder severity, which has resulted in a knowledge gap on the specific roles of the different issues with which some gamblers struggle. This study estimated the association between baseline symptoms of gambling problems and (i) other symptoms, (ii) the overall severity of gambling problems after 12 months, and the estimated stability rates of various gambling problems after (iii) 12 months and (iv) 5 years. Design and Setting Secondary analysis of data derived from the Swedish Longitudinal Gambling Study (SWELOGS), a prospective representative cohort study conducted between 2008 and 2014 in Sweden. Participants A total of 8165 respondents from 16–84 years of age recruited in a stratified random sampling procedure. Among them, 6021 answered the 1‐year follow‐up survey and 3559 answered the 5‐year follow‐up survey. Measurements Nine symptoms related to gambling were assessed using the Problem Gambling Severity Index (excessive gambling, tolerance, chasing, loans, insight, health problems, criticism, financial problems, and guilt). Findings Excessive gambling, tolerance, chasing, loans and guilt significantly increased the risk of a range of other symptoms. Chasing and tolerance also tripled the risk of transitioning to more severe gambling problems (OR = 2.9, 95% CI = [1.5–5.5], P = 0.001 and OR = 2.7, 95% CI = [1.6–4.5], P < 0.001, respectively). Stability rates of the different symptoms ranged between 22% (95% CI = [12–31%]) and 42% (95% CI = [35–48%]) after 1 year and 3% (95% CI = [0–10%]) and 19% (95% CI = [7–30%]) after 5 years with chasing being the most stable problem (42% [95% CI = (35–48%)] after 1 year and 17% [95% CI = (6–28%)] after 5 years). Conclusions In psychiatric diagnosis, four symptoms of problem gambling (chasing, tolerance, excessive gambling and guilt) appear to have prognostic validity in assessing gambling‐related risk. The symptoms of tolerance and chasing appear to increase the risk of progressing to more severe gambling problems.