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Background and aims: Problematic pornography use (PPU) is a common manifestation of the newly introduced Compulsive Sexual Behavior Disorder diagnosis in the 11th edition of the International Statistical Classification of Diseases and Related Health Problems. Although cultural, gender‐ and sexual orientation‐related differences in sexual behaviors are well documented, there is a relative absence of data on PPU outside Western countries and among women as well as gender‐ and sexually‐diverse individuals. We addressed these gaps by (a) validating the long and short versions of the Problematic Pornography Consumption Scale (PPCS and PPCS‐6, respectively) and the Brief Pornography Screen (BPS) and (b) measuring PPU risk across diverse populations. Methods: Using data from the pre‐registered International Sex Survey [n = 82 243; mean age (Mage) = 32.4 years, standard deviation = 12.5], a study across 42 countries from five continents, we evaluated the psychometric properties (i.e. factor structure, measurement invariance, and reliability) of the PPCS, PPCS‐6, and BPS and examined their associations with relevant correlates (e.g. treatment‐seeking). We also compared PPU risk among diverse groups (e.g. three genders). Results: The PPCS, PPCS‐6, and BPS demonstrated excellent psychometric properties [for example, comparative fit index = 0.985, Tucker–Lewis Index = 0.981, root mean square error of approximation = 0.060 (90% confidence interval = 0.059–0.060)] in the confirmatory factor analysis, with all PPCS' inter‐factor correlations positive and strong (rs = 0.72–0.96). A total of 3.2% of participants were at risk of experiencing PPU (PPU+) based on the PPCS, with significant country‐ and gender‐based differences (e.g. men reported the highest levels of PPU). No sexual orientation‐based differences were observed. Only 4–10% of individuals in the PPU+ group had ever sought treatment for PPU, while an additional 21–37% wanted to, but did not do so for specific reasons (e.g. unaffordability). Conclusions: This study validated three measures to assess the severity of problematic pornography use across languages, countries, genders, and sexual orientations in 26 languages: the Problematic Pornography Consumption Scale (PPCS, and PPCS‐6, respectively), and the Brief Pornography Screen (BPS). The problematic pornography use risk is estimated to be 3.2–16.6% of the population of 42 countries, and varies among different groups (e.g. genders) and based on the measure used. [ABSTRACT FROM AUTHOR]

The article stresses the need for online-specific gambling marketing regulations in the United Kingdom (UK). It argues that current advertising codes are ill-equipped to deal with online gambling advertising techniques and cautions about the enforcement challenges brought by advancements in artificial intelligence (AI). It calls for policymakers to restrict gambling marketing and establish a database where online gambling advertisements are stored.

Background and Aims: Previous research has identified numerous risk and protective factors of adolescent problematic gaming (PG) at the individual and social levels; however, the influence of socio‐economic indicators on PG is less known. This study aimed to measure the contribution of individual and socio‐economic factors involved in PG risk among adolescents from 30 European countries. Design Multi‐level logistic regression analysis of survey data from the 2019 European School Survey Project on Alcohol and Other Drugs (ESPAD) cross‐sectional study using self‐administered anonymous questionnaires. Setting: Thirty European countries. Participants: A representative cohort of 15–16‐year‐old students (n = 88 998 students; males = 49.2%). Measurements The primary outcome measure was adolescents' (low and high) risk of PG. Individual key predictors included self‐report assessments of socio‐demographic characteristics, time spent gaming and family variables (parental regulation and monitoring, family support). Main country‐level predictors comprised Gini coefficient for economic inequalities and benefits for families and children (% gross domestic product), retrieved from international public data sets and national thematic reports. The data analysis plan involved multi‐level logistic regression. Findings Participants who reported stronger parental regulation [odds ratio (OR) = 0.81, 95% confidence interval (CI) = 0.79–0.83] and higher family support (OR = 0.93, 95% CI = 0.91–0.95) reported lower risk of PG. At the country‐level, economic inequalities (OR = 1.05, 95% CI = 1.03–1.07) were positively associated with the risk of PG, while benefits for families and children (OR = 0.78, 95% CI = 0.70–0.89) were negatively correlated with the risk of PG. Conclusions: Supportive family environments, lower country‐level economic inequalities and higher government expenditures on benefits for families and children appear to be associated with a lower risk of problematic gaming among European adolescents. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background and Aims: To determine whether transdiagnostic risk, represented as elevations in one high‐risk personality trait, interacts with behavior‐specific risk, represented as elevated expectancies for reinforcement from either drinking or smoking, to account partly for early adolescent drinking and smoking behavior. Design Multiple regression analysis. Setting: Twenty‐three public schools in two school systems in the United States. Participants: A sample of 1897 adolescents tested in the spring of 5th, 6th, 7th, 8th and 9th grades. Measurements Transdiagnostic risk was measured as negative urgency, the tendency to act rashly when distressed, using the UPPS‐P child version. Drinking‐specific and smoking‐specific risk were measured as expectancies for reinforcement from drinking and smoking, using the Memory Model‐Based Expectancy Questionnaire (alcohol) and the Adolescent Smoking Consequences Questionnaire (smoking). Findings There was consistent concurrent prediction from the interactions of (a) negative urgency and alcohol reinforcement expectancies to early adolescent drinking and (b) negative urgency and smoking reinforcement expectancies to early adolescent smoking, above and beyond prediction from the main effects of those variables. In each case, expectancies were more predictive at higher levels of negative urgency. Incremental R2 values for main effects ranged from 0.07 to 0.26, and for interactions ranged from 0.01 to 0.03. Prospectively, the main effects predicted subsequent behavior but the interaction effects did not, except in one case. Conclusions: Among elementary and high school students in the United States, the joint effects of negative urgency and behavior‐specific expectancies help to explain drinking and smoking behavior. Joint elevations on the trait and the learning variable account for drinking and smoking behavior beyond the main effects of each predictor. However, there is reason to doubt whether the joint effects predict subsequent increases in drinking and smoking beyond the main effects of those variables. [ABSTRACT FROM AUTHOR]

Aims To estimate trajectories of gambling variety from mid-adolescence to age 30 years, and compare the different trajectory groups with regard to the type and the frequency of gambling activities practiced and gambling-related problems. Design Prospective longitudinal cohort study. Setting Province of Quebec, Canada. Participants A mixed-gender general population cohort assessed at ages 15 ( n = 1882), 22 ( n = 1785) and 30 ( n = 1358). Measurements Adolescent and adult versions of the South Oaks Gambling Screen (SOGS). Findings Group-based trajectory analysis identified three distinct trajectories: a late-onset low trajectory (26.7% of sample) initiating gambling at age 22, an early-onset low trajectory (64.8% of sample), characterized by one to two different activities from age 15 onwards and a high trajectory (8.4% of sample), with an average of four to five different activities from age 15 to 30. Males (14.2%) were four times more likely to be on a high trajectory than females (3.5%) ( P < 0.001). Preferred types of gambling activities were similar across the three trajectories. Participants on a high trajectory reported higher gambling frequency at ages 15 and 30, and were more likely to experience problem gambling at age 30: 3.09 [95% confidence interval (CI) = 1.66, 5.75] and 2.26 (95% CI = 1.27, 4.04) times more, respectively, than late-onset low and early-onset low participants, even when socio-economic status (SES), frequency of gambling and problem gambling in adolescence, gender, age 30 education, SES and frequency of gambling were controlled. Conclusions Engaging in several different types of gambling in early adulthood appears to be a risk factor for emergence of problem gambling. [ABSTRACT FROM AUTHOR]