Broader factors related to the family environment and the availability of gambling have also been identified . A scoping search identified a series of systematic reviews and meta-analyzes of problem-game risk factors, largely focused on specific risk factors or risk types, although one targeted specific populations . No systematic reviews, meta-analyzes or general reviews have been identified to investigate all risk factors for all populations. To understand the breadth of potential risk factors driving the game and problematic gaming behavior, you must collect this evidence at the assessment level. This document is the first thing we know to identify problem game-specific risk factors in three popular forms of online gambling: EGM, racial betting and sports betting. Using that approach can deliver results in the cloud, as players with online problems are often mixed players playing in multiple ways (Wardle et al. 2011; Gainsbury et al., 2015a).
Unfortunately, as far as we know, there is no precise measure of conditioned or excessive play, expressed only in terms of behavior. Practically, it is difficult to assess the discretionary time and income, as well as time and money spent on gambling over a longer period of time . A viable alternative could be to evaluate a variety of excessive game indicators that are not also pathology or damage markers.
Remember that not everyone with these risk factors will have problems with the game, but we know that each factor increases the chance that a person will have problems. The results of the multivariate logistics regression betflix largely correspond to those of the bivariate analyzes. Here the migration background and in particular the gender are an exception, as these two variables are no longer significant in the multivariate model.
Other facts about compulsive gambling are that men develop this disorder during their early teens, while women tend to develop it later. Men with pathological gambling often receive advice on topics other than gambling, less often than their female counterparts. Despite these limitations, our results have clear implications for different stakeholders, especially policy makers and healthcare providers. First, the largest effect sizes were generally in the game activity category, while the smallest effects in the sociodeographic category were. Specific prevention strategies and responsible game initiatives in general can use these results to identify populations most at risk of developing PG.
In addition to the reported psychological problems and certain personality traits, dust-related disorders are of great importance (Kessler et al. 2008; Barry et al. 2011; Bischof et al. 2013; Martin et al. 2014; Subramaniam et al. 2015; Shultz et al. 2016). In his meta-analysis Lorains et al. reported that 28.1% of pathological players had an alcohol consumption disorder. Like other addictive disorders, children of parents with problematic playing behavior are at an increased risk of developing gambling problems (Williams et al. 2015; Dowling et al. 2016). Several studies on dust-related problems have shown that growing up with a single parent increased the risk of developing this type of problem behavior (Blum et al. 2000; Latendresse et al. 2017). Regarding problematic gambling, the effects of single parent parent parenting have been analyzed in just a few studies. Ste-Marie discovered that the proportion of people who grew up with single parents has increased in terms of game problems.