The intergenerational transmission of problem gambling: The mediating role of offspring gambling expectancies and motives

Dowling, Nathan; Oldenhof, Erin; Shandley, Kerrie; Youssef, George; Vasiliadis, Sophie; Thomas, Samantha; Frydenberg, Erica; Jackson, Alun C

doi:10.1016/j.addbeh.2017.09.003

Cited by 30 publications

(22 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, these were new findings for gambling research involving SMM as a significant relationship between problem gambling severity and psychological distress has not been found elsewhere [ 83 ]; and although not significant, the relationship between psychological distress and gambling-related harm among SMM has not been investigated elsewhere. Furthermore, the findings that the gambling outcome expectancy scales of over-involvement expectancies, emotional impact expectancies, enjoyment/arousal expectancies, and self-enhancement expectancies significantly positively predicted problem gambling severity and/or related harms was also consistent with other gambling research, however, the finding that money expectancies were negatively, or not significantly, associated with problem gambling severity/related harms contrasts with previous research [ 13 , 14 , 17 , 85 ]. Among the SMM group, these non-significant findings about money expectancies may be due to the traditionally masculine and heteronormative nature of gambling in Australia and the spaces that gambling is more likely to occur.…”

Section: Discussionsupporting

confidence: 72%

Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men

et al. 2021

View full text Add to dashboard Cite

Background Sexual minority men (SMM) often experience stressful social environments dominated by stigma and discrimination. SMM are typically more likely than heterosexual men to engage in certain risky behaviours such as problem gambling. This study aimed to compare gambling behaviour among SMM and examine potential risk factors (erroneous gambling cognitions, gambling outcome expectancies, hazardous alcohol use, impulsivity, and psychological distress; as well as perceived stigma and discrimination for the SMM participants) and potential protective factors (resilience, social support, and community connectedness) for problem gambling severity and gambling-related harms among SMM living in Australia. Methods An online survey, with an over-representation of SMM participants and problem, moderate-risk, and low-risk gamblers, was completed by 101 SMM (mean age = 28.5) and 207 heterosexual men (mean age = 26.4). Results SMM were found to have significantly lower levels of problem gambling severity compared with heterosexual men, and report significantly lower gambling participation, frequencies and expenditure on any gambling activity, casino table games, horse racing/greyhound betting, sports betting, and keno. However, in the SMM group, 38.3% were classified in the problem gambling category of the Problem Gambling Severity Index and 27.6% were classified in the moderate-risk gambling category. There were no significant differences between groups in gambling-related harms. Multiple regression analyses revealed that problem gambling severity and related harms were independently predicted by higher levels of impulsivity and erroneous gambling cognitions for both groups. Conclusions Lower frequency of gambling behaviours among SMM and similar risk factors predicting problem gambling severity/harms for both groups suggests that problem gambling is not pronounced among SMM. This study adds new evidence to the gambling literature which can be used as comparative benchmarks for future research.

show abstract

Section: Discussionsupporting

confidence: 72%

Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Children of problem gamblers have an elevated risk of gambling problems [140]. Further, health risk behaviors, such as smoking tobacco, drinking alcohol, and drug abuse are common [141]. These children also have higher a risk for physical and mental health problems and suicide attempts [122, 142, 143].…”

Section: Main Textmentioning

confidence: 99%

Public health effects of gambling – debate on a conceptual model

2019

View full text Add to dashboard Cite

Background Gambling for money is a popular leisure time activity in most countries, which has major social and economic impacts not only affecting the gambler, but his/her significant others, and the society. Gambling impact studies can help researchers and policymakers compare the health and social costs and benefits of different gambling policies and can be used when considering which gambling policies will reduce or increase costs or benefits the most. In a public health approach, the impacts of gambling, negative and positive, are assessed across the entire severity spectrum of the activity. Although some studies have created basic principles for conducting impact studies, a theoretical model is currently lacking. The aim of this debate is to review complementing and contrasting views on the effects of gambling to create a conceptual model, where a public health perspective is applied. Main text The effects of gambling can be structuralized using a conceptual model, where impacts are divided into negative and positive; costs and benefits. Costs and benefits are categorized into three classes: financial, labor and health, and well-being. These classes manifest in personal, interpersonal, and societal levels. Individual impacts cause effects on a personal level to gamblers themselves. External impacts influence the interpersonal and society/community levels and concern other people. The temporal level refers to the development, severity and scope of the gambling impact. These include general impacts, impacts of problem gambling and long-term impacts of gambling. Conclusions The conceptual model offers a base on which to start building common methodology for assessing the impact of gambling on the society. While measuring monetary impacts is not always straightforward, the main issue is how to measure the social impacts, which are typically ignored in calculations, as are personal and interpersonal impacts. The reviewed empirical work largely concentrated on the costs of gambling, especially costs on the community level. The Model can be used to identify areas where research is scarce. Filling the gaps in knowledge is essential in forming a balanced evidence base on the impacts of gambling. Ideally, this evidence could be the starting point in formulating public policies on gambling.

show abstract

“…The intergenerational transmission of problem gambling is related to the perceived financial and self-enhancing benefits of gambling (Dowling et al., 2016). The relationship between parental gambling and subsequent problem gambling by the child is stronger when the parents themselves experience problems with gambling (Dowling, Jackson, Thomas, & Frydenberg, 2010; Winters, Stinchfield, Botzet, & Anderson, 2002). Active social influences within the family include the facilitation of underage gambling by purchasing scratch cards and lotteries or placing sports bets (Hardoon, Gupta, & Derevensky, 2004; Kristiansen et al., 2015; Reith & Dobbie, 2011), which serve to reinforce other passive influences of normalization.…”

Section: Introductionmentioning

confidence: 99%

Social influences normalize gambling-related harm among higher risk gamblers

2018

View full text Add to dashboard Cite

Background and aimsSocial influences are key drivers of gambling, and can begin in youth through parental modeling and facilitation. Over time, social influence from friends and colleagues also becomes important. Social network analysis provides a method to measure the combined nature of these social influences. This study aimed to compare social influences across gambling risk groups, by examining key characteristics of the social networks, among Australian adults.MethodsA total of 784 respondents (egos) reported their demographics, gambling behavior and gambling risk, as well as those of the 20 most influential people in their lives (alters). Egos also reported the strength of the connection between themselves and each of their alters, and between each pair of alters. Data were analyzed using egocentric social network analysis approaches.ResultsEgos in higher risk groups reported more alters who gamble, including a higher proportion experiencing gambling-related harm. Relationship strength indicated that egos in higher risk groups tended to feel closer to their alters, regardless of whether the alter gambles or not. Network density (interconnectedness between alters) was greater for egos in higher risk groups.Discussion and conclusionsThe findings indicate that both gambling behavior and gambling-related harm are normalized through social connections. Greater interconnectedness in the networks of higher risk gamblers indicates difficulties in reducing or removing these influences. The findings indicate limitations of individualised interventions, and instead highlight the important role of changing norms within society, which can be transmitted throughout these networks.

show abstract

The intergenerational transmission of problem gambling: The mediating role of offspring gambling expectancies and motives

Cited by 30 publications

References 40 publications

Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men

Risk and protective factors for the development of gambling-related harms and problems among Australian sexual minority men

Public health effects of gambling – debate on a conceptual model

Social influences normalize gambling-related harm among higher risk gamblers

Contact Info

Product

Resources

About