The intergenerational transmission of problem gambling: The mediating role of parental psychopathology

Dowling, Nicki A.; Shandley, Kerrie; Oldenhof, Erin; Youssef, George; Thomas, Samantha; Frydenberg, Erica; Jackson, Alun C

doi:10.1016/j.addbeh.2016.03.002

Cited by 22 publications

(18 citation statements)

References 32 publications

(37 reference statements)

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“…Gambling products and marketing incorporate and encourage interaction with others, including through social media, ostensibly promoting social connection as part of the gambling experience (Gainsbury, Delfabbro, King, & Hing, 2016; O’Loughlin & Blaszczynski, 2018). Research has potentially identified negative effects of social influences on gambling behavior, particularly problematic gambling behavior (Raymen & Smith, 2017; Shead, Derevensky, & Gupta, 2010; Zhai et al., 2017), including among youth (Canale et al., 2016; Dowling et al., 2016; Kristiansen, Trabjerg, & Reith, 2015). Recent findings that, at a population level, most gambling harm is from low- and moderate-risk gamblers (Browne et al., 2016), highlight the need to improve our understanding of the determinants of harmful gambling, including social influences.…”

Section: Introductionmentioning

confidence: 99%

Social influences normalize gambling-related harm among higher risk gamblers

2018

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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.

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Section: Introductionmentioning

confidence: 99%

Social influences normalize gambling-related harm among higher risk gamblers

2018

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“…With regard to illegal substances, the respective share was 17.2%. Similar to other addictive disorders, children of parents with a problem gambling behavior are at increased risk of developing gambling problems (Williams et al, 2015 ; Dowling et al, 2016 ). A number of studies on substance-related problems showed that having grown up with a single parent increased the risk of developing this sort of problem behavior (Blum et al, 2000 ; Latendresse et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Potential Risk Factors for at-Risk Gambling, Problem Gambling and Gambling Disorder among Current Gamblers—Results of the Austrian Representative Survey 2015

Buth

Wurst

Thon³

et al. 2017

Front. Psychol.

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Background: The risk of developing a problem gambling behavior is distributed unequally among the population. For example, individuals who report stressful life events, show impairments of mental health or belong to a socio-economically deprived group are affected more frequently by gambling problems. The aim of our study is to investigate whether these risk factors are equally relevant for all gambling groups (social = 0 DSM-5 criteria, at risk = 1 DSM-5 criterion, problem = 2–3 DSM-5 criteria, disordered = 4–9 DSM-5 criteria).Methods: Of a total of 10,000 participants in the representative gambling survey in Austria in 2015, 4,082 individuals reported gambling during the last 12 months and were allocated to the four gambling groups according to DSM-5. With social gamblers as the reference group, relevant risk factors for the other three groups were identified by means of bi- and multivariate multinomial logistic regression.Results: Significant risk factors for gambling disorder are at-risk alcohol use (OR = 4.9), poor mental health (OR = 5.9), young age (≤26 years, OR = 2.1), a low level of formal education (OR = 2.4), having grown up with a single parent (OR = 2.5), parents with addiction problems (OR = 2.3) and belonging to the working class (OR = 2.9). Risk factors for problem gambling are parents with addiction problems (OR = 3.8), poor mental health (OR = 2.6) and a young age (OR = 2.2). With regard to at-risk gambling, only growing up with a single parent was relevant (OR = 2.4).Conclusion: Overall, the results of this study suggest, that the number and the influence of the included risk factors differ between gambling problem groups. Apparently, the development of severe gambling problems is to a lesser extent facilitated by specific risk factors than by their cumulative presence. Therefore, future prevention and treatment measures should place a particular focus on individuals who have experienced growing up in a difficult family situation, have poor mental health, suffer from substance-related problems or have a low level of formal education.

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“…Moreover, parental internet use has been found to be significantly linked to adolescent internet use [45,46]. Studies on TV viewing [47], substance use [48,49], and gambling [13,14] also reported similar findings. As discussed in the introduction, this finding can be explained with Bandura's social learning theory [15].…”

Section: Discussionmentioning

confidence: 74%

“…Even though parents do not intentionally encourage their children to dysfunctionally use smartphones, children still learn and imitate the behaviors of their parents [51]. In addition, behavioral addiction problems can be transmitted intergenerationally as a result of continuous exposure to maladaptive parental behaviors or addiction-related psychopathology [13,14]. This suggests the possibility that maternal dependency on smartphones can be passed on to children, which adds to the evidence of intergenerational transmission of behavioral addiction problems from mother to adolescent.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, social anxiety that appeared to be strongly related to phubbing could be transmitted from the mother to her children [11,12]. In addition, subsequent studies have revealed that behavioral addiction can also be intergenerationally transmitted [13,14]. These ideas suggest that smartphone dependency can be intergenerationally transmitted from mother to adolescent.…”

Section: Introductionmentioning

confidence: 99%

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Intergenerational Transmissions of Mother–Adolescent Smartphone Dependency: The Mediating Role of Negative Parenting and the Moderating Role of Gender

Kim

Kang

Lee

2020

IJERPH

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Given the prevalence and undesirable consequences of smartphone dependency among adolescents, it is necessary to explore the influencing factors of adolescent smartphone dependency. The aim of this study was to examine the intergenerational transmission of mother–adolescent smartphone dependency and the mediating role of negative parenting, moderated by adolescent gender. Data for 2541 middle school students (mean aged = 13 years)–mother dyads were obtained from the first wave of the Korean Children and Youth Panel Survey 2018 (KCYPS 2018). The moderated mediation model using Hayes PROCESS macro (Model 14) was employed to test the study hypothesis. The moderated mediation model revealed that maternal smartphone dependency was associated with adolescent smartphone dependency. Perceived negative parenting mediated this link and adolescent gender moderated the relationship between negative parenting and adolescent smartphone dependency, especially for adolescent girls. Our findings showed that both maternal smartphone dependency and negative parenting were determinants of adolescent smartphone dependency, suggesting that both factors were important for understanding these issues. Moreover, the mediating role of negative parenting (between maternal and adolescent smartphone dependency) implies that parental education programs designed to improve negative parenting may reduce adolescent smartphone dependency, especially for adolescent girls.

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The intergenerational transmission of problem gambling: The mediating role of parental psychopathology

Cited by 22 publications

References 32 publications

Social influences normalize gambling-related harm among higher risk gamblers

Social influences normalize gambling-related harm among higher risk gamblers

Comparative Analysis of Potential Risk Factors for at-Risk Gambling, Problem Gambling and Gambling Disorder among Current Gamblers—Results of the Austrian Representative Survey 2015

Intergenerational Transmissions of Mother–Adolescent Smartphone Dependency: The Mediating Role of Negative Parenting and the Moderating Role of Gender

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