This review aims to clarify which instruments measuring at-risk and problem gambling (ARPG) among youth are reliable and valid in light of reported estimates of internal consistency, classification accuracy, and psychometric properties. A systematic search was conducted in PubMed, Medline, and PsycInfo covering the years 2009-2015. In total, 50 original research articles fulfilled the inclusion criteria: target age under 29 years, using an instrument designed for youth, and reporting a reliability estimate. Articles were evaluated with the revised Quality Assessment of Diagnostic Accuracy Studies tool. Reliability estimates were reported for five ARPG instruments. Most studies (66%) evaluated the South Oaks Gambling Screen Revised for Adolescents. The Gambling Addictive Behavior Scale for Adolescents was the only novel instrument. In general, the evaluation of instrument reliability was superficial. Despite its rare use, the Canadian Adolescent Gambling Inventory (CAGI) had a strong theoretical and methodological base. The Gambling Addictive Behavior Scale for Adolescents and the CAGI were the only instruments originally developed for youth. All studies, except the CAGI study, were population based. ARPG instruments for youth have not been rigorously evaluated yet. Further research is needed especially concerning instruments designed for clinical use.

The expansion of online gambling opportunities calls for better comprehension of online gambling, including relevant gender specific correlates. This study compared online and land-based gamblers among males and females separately, utilizing a nationally representative Finnish survey sample of 18 e74 year olds. Online gamblers were younger than land-based gamblers and had full-time working status more often than land-based gamblers, with partial indication of land-based gamblers' monthly income being lower. Online gambling was associated with participation in computer or video gaming more strongly than with land-based gambling. Results show that the strongest predictors of online gambling common to both genders were younger age, computer gaming and gambling on multiple gambling types. Risky alcohol consumption and tobacco smoking were not associated to gambling mode when controlling for other factors. Results indicate that particularly for females online gambling may be related to higher relative expenditure and at-risk and problem gambling, providing implications for tailored interventions. The continued study of subgroups of gamblers is necessary to comprehensively understand the altering gambling milieu.

AIMS -The aims were to compare past-year at-risk and problem gambling (ARPG) and other at-risk behaviours (computer gaming, risky alcohol consumption, tobacco smoking) by age and gender, and to explore how ARPG is associated with risky alcohol consumption, tobacco smoking, poor mental health and loneliness in males and females. DESIGN -Data from respondents aged 15-28 (n = 822) were derived from a cross-sectional random sample of population-based data (n = 4484). The data were collected in 2011-2012 by telephone interviews. The Problem Gambling Severity Index (PGSI, score≥2) was used to evaluate ARPG. Prevalence rates for risk behaviours were compared for within gender-specific age groups. Regression models were gender-specific. RESULTS -The proportion of at-risk and problem gamblers was higher among males than females in all age groups except among 18-21-year-olds, while frequent computer gaming was higher among males in all age groups. The odds ratio (95% CI) of being a male ARPGer was 2.57 (1.40-4.74) for risky alcohol consumption; 1.95 (1.07-3.56) for tobacco smoking; 2.63 (0.96-7.26) for poor mental health; and 4.41 (1.20-16.23) for feeling lonely. Likewise, the odds ratio (95% CI) of being a female ARPGer was 1.19 (0.45-3.12) for risky alcohol consumption; 4.01 (1.43-11.24) for tobacco smoking; 0.99 (0.18-5.39) for poor mental health; and 6.46 (1.42-29.34) for feeling lonely. All 95% CIs of ARPG correlates overlapped among males and females. CONCLUSIONS -Overall, past-year at-risk and problem gambling and computer gaming seem to be more common among males than females; however, for risky alcohol consumption similar gender differences were evident only for the older half of the sample. No clear gender differences were seen in correlates associated with ARPG.