The Cognitive‐Behavioral Treatment of Female Problem Gambling

Dowling, Nicki A.

doi:10.1002/9781118316078.ch10

Cited by 18 publications

(13 citation statements)

References 84 publications

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“…Somewhat unexpectedly, increased responsibility and psychosocial impacts were also associated with a lower likelihood of EGM gambling. Although these finding contrast with the results of previous research that EGM gambling is associated with the highest rates of problem gambling (Dowling et al 2005), they may reflect the continuing perception that EGMs are an appropriate and socially acceptable low cost activity, particularly for women (Dowling 2013).…”

Section: Discussioncontrasting

confidence: 82%

Problem Gambling Family Impacts: Development of the Problem Gambling Family Impact Scale

et al. 2015

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Although family members of problem gamblers frequently present to treatment services, problem gambling family impacts are under-researched. The most commonly endorsed items on a new measure of gambling-related family impacts [Problem Gambling Family Impact Measure (PG-FIM: Problem Gambler version)] by 212 treatment-seeking problem gamblers included trust (62.5 %), anger (61.8 %), depression or sadness (58.7 %), anxiety (57.7 %), distress due to gambling-related absences (56.1 %), reduced quality time (52.4 %), and communication breakdowns (52.4 %). The PG-FIM (Problem Gambler version) was comprised of three factors: (1) financial impacts, (2) increased responsibility impacts, and (3) psychosocial impacts with good psychometric properties. Younger, more impulsive, non-electronic gaming machine (EGM) gamblers who had more severe gambling problems reported more financial impacts; non-EGM gamblers with poorer general health reported more increased responsibility impacts; and more impulsive non-EGM gamblers with more psychological distress and higher gambling severity reported more psychosocial impacts. The findings have implications for the development of interventions for the family members of problem gamblers.

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Section: Discussioncontrasting

confidence: 82%

Problem Gambling Family Impacts: Development of the Problem Gambling Family Impact Scale

et al. 2015

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“…Females in their study had earlier age of online gambling uptake than males. Women’s uptake of Internet gambling may explain why recent research from many jurisdictions indicates rapid rises in female problem gambling, especially amongst younger women (Dowling 2013 ). A recent Tasmanian prevalence study found no differences in problem gambling rates between males and females (Christensen et al 2014 ).…”

Section: Demographicsmentioning

confidence: 99%

Risk Factors for Gambling Problems: An Analysis by Gender

et al. 2015

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Differences in problem gambling rates between males and females suggest that associated risk factors vary by gender. Previous combined analyses of male and female gambling may have obscured these distinctions. This study aimed to develop separate risk factor models for gambling problems for males and for females, and identify gender-based similarities and differences. It analysed data from the largest prevalence study in Victoria Australia (N = 15,000). Analyses determined factors differentiating non-problem from at-risk gamblers separately for women and men, then compared genders using interaction terms. Separate multivariate analyses determined significant results when controlling for all others. Variables included demographics, gambling behaviour, gambling motivations, money management, and mental and physical health. Significant predictors of at-risk status amongst female gamblers included: 18–24 years old, not speaking English at home, living in a group household, unemployed or not in the workforce, gambling on private betting, electronic gaming machines (EGMs), scratch tickets or bingo, and gambling for reasons other than social reasons, to win money or for general entertainment. For males, risk factors included: 18–24 years old, not speaking English at home, low education, living in a group household, unemployed or not in the workforce, gambling on EGMs, table games, races, sports or lotteries, and gambling for reasons other than social reasons, to win money or for general entertainment. High risk groups requiring appropriate interventions comprise young adults, especially males; middle-aged female EGM gamblers; non-English speaking populations; frequent EGM, table games, race and sports gamblers; and gamblers motivated by escape.

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“…The standardised past year prevalence of problem gambling ranges from 0.5% to 7.6% across countries, with an average rate of 2.3% (Williams, Volberg, & Stevens, 2012). Characteristics associated with problem gambling include male gender, young age, impulsivity, cognitive distortions, illegal acts, peer gambling, antisocial behaviour, nicotine dependence, alcohol and substance use disorders, mood and anxiety disorders, and personality disorders (Dowling, 2013;Dowling et al, in press;Johansson, Grant, Kim, Odlaug, & Götestam, 2009;Lorains, Cowlishaw, & Thomas, 2011;Lorains, Stout, Bradshaw, Dowling, & Enticott, 2014;Scholes-Balog, Hemphill, Dowling, & Tombourou, 2014).…”

Section: Problem Gambling and Intimate Partner Violence: A Systematicmentioning

confidence: 99%

Problem Gambling and Intimate Partner Violence

Dowling

Suomi

Jackson

et al. 2014

Trauma, Violence, & Abuse

113

105

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This study provides a systematic review of the empirical evidence related to the association between problem gambling and intimate partner violence (IPV). We identified 14 available studies in the systematic search (8 for victimisation only, 4 for perpetration only and 2 for both victimisation and perpetration). Although there were some equivocal findings, we found that most of the available research suggests that there is a significant relationship between problem gambling and being a victim of IPV. There was more consistent evidence that there is a significant relationship between problem gambling and perpetration of IPV. Meta-analyses revealed that over one third of problem gamblers report being victims of physical IPV (38.1%) or perpetrators of physical IPV (36.5%) and that the prevalence of problem gambling in IPV perpetrators is 11.3%. Although the exact nature of the relationships between problem gambling and IPV is yet to be determined, the findings suggest that less than full employment and clinical anger problems are implicated in the relationship between problem gambling and IPV victimization and that younger age, less than full employment, clinical anger problems, impulsivity, and alcohol and substance use are implicated in the relationship between problem gambling and IPV perpetration. The findings highlight the need for treatment services to undertake routine screening and assessment of problem gambling, IPV, alcohol and substance use problems, and mental health issues and provide interventions designed to manage this cluster of comorbid conditions. Further research is also required to investigate the relationship between problem gambling and violence that extends into the family beyond intimate partners.

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The Cognitive‐Behavioral Treatment of Female Problem Gambling

Cited by 18 publications

References 84 publications

Problem Gambling Family Impacts: Development of the Problem Gambling Family Impact Scale

Problem Gambling Family Impacts: Development of the Problem Gambling Family Impact Scale

Risk Factors for Gambling Problems: An Analysis by Gender

Problem Gambling and Intimate Partner Violence

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