Harm-to-self from gambling: A national study of Australian adults.

Aims: Understanding how gambling harm is distributed is essential to inform effective harm reduction measures. This first national Australian study of gambling harm-to-self examined the extent, distribution, risk factors, and health related quality of life (HRQoL) impacts of this harm. Methods: A Random Digit Dialling sample of 15,000 Australian adults was weighted to key population variables. Key measures included the Gambling Harms Scale-10 (GHS-10), PGSI, SF-6D, gambling behaviours, and demographics. Analyses included ordinal logistic regression. Results: Amongst gamblers, 14.7% reported harm on the GHS-10, including 1.9% reporting high-level harm. While high-level harm occurred mainly in the problem gambling group (77.3%), other PGSI groups accounted for most of the more prevalent low (98.5%) and moderate (87.2%) harms reported. Proximal predictors of greater harm were use of online gambling and more frequent gambling on electronic gaming machines (EGMs), race betting sports betting, poker, skin gambling, scratchies, and loot box purchasing. Distal predictors were being younger, male, single, Aboriginal or Torres Strait Islander, and speaking a non-English language at home. At the population level, the greatest aggregate HRQoL impacts were amongst lower-risk gamblers, confirming the results of other studies regarding the 'prevention paradox'. Conclusions: The distribution of harm across gambler risk groups indicates the need for preventive measures, not just interventions for problem gambling. Reducing harm requires modifying product features that amplify their risk, especially for EGMs, race betting and sports betting that are both inherently risky and widely used. Gambling harm exacerbates health disparities for disadvantaged and vulnerable groups, requiring targeted resources and support.

Feature preferences of sports betting platforms: A discrete choice experiment shows why young bettors prefer smartphones.

Background and aims: Smartphone, computer and land-based betting platforms each have distinctive features. This study examined 1) preferred features of sports betting platforms amongst young adults and 2) whether feature preferences vary with gambling severity. Methods: The study surveyed 616 Australians aged 18-29 years who bet at-least monthly on sports, esports and/or daily fantasy sports. Participants provided a simple rating of the importance of 24 features of betting platforms and then completed a discrete choice experiment to indicate their preferences amongst different groups of features. Results: Smartphones were the only platform providing all preferred features. The most important feature was ability to bet instantly 24/7 from any location, followed by electronic financial transactions. Less important features were ability to access betting information online and to bet with multiple operators. Social and privacy features, and access to promotions, did not significantly predict platform choice. The experiment found no significant differences in preferred features by gambling severity group or by gender. The non-experimental descriptive data, however, indicated that participants in the moderate risk/problem gambling categories placed significantly more importance on privacy, ability to place in-play bets, bet with cash, bet with a credit card, see frequent promotions, and bet with multiple operators. Discussion and conclusions: Most features that bettors prefer can intensify betting. Curtailment of betting promotions, in-play betting, and credit card betting are measures that can assist higher-risk gamblers without unduly affecting other gamblers. Consumer protection tools, including mandatory pre-commitment, need strengthening to help counter the unique risks of smartphone betting.

Situational features of smartphone betting are linked to sports betting harm: An ecological momentary assessment study.

Background and aims: Smartphones extend the situational characteristics of sports betting beyond those available with land-based and computer platforms. This study examined 1) the role of situational features and betting platforms in harmful betting behaviours and short-term betting harm, and 2) whether people with more gambling problems have preferred situational features, engage more in harmful betting behaviours, and experience more severe short-term betting harm. Methods: An ecological momentary assessment analysed 1,378 betting sessions on sports, esports or daily fantasy sports, reported by 267 respondents (18-29 years; 50.9% male) over 10 weeks. Results: Factor analysis revealed five situational features of betting sessions: 1) quick, easy access from home, 2) ability to bet anywhere anytime, 3) privacy while betting, 4) greater access to promotions and betting options, and 5) ability to use electronic financial transactions. Regression models underpinned the analyses. Greater short-term betting harm was significantly associated with the ability to bet anywhere anytime, privacy when betting, and greater access to promotions and betting options. Betting sessions when these features were prioritised were more likely to involve impulsive betting, use of betting inducements, and betting with more operators. Respondents with more gambling problems were more likely to prioritise privacy and the ability to bet anywhere anytime; and to bet on in-game events, use promotional inducements, bet with more operators, and report greater betting harm. Discussion and conclusions: Certain situational features of sports betting are empirically associated with engagement and subsequent harm. Only smartphone betting combines all three features associated with betting harm.

How gambling harms others: The influence of relationship-type and closeness on harm, health, and wellbeing.

Background and aims: Concerned significant others (CSOs) can experience gambling-related harm, impacting their health and wellbeing. However, this harm varies depending on the type and closeness of the relationship with the person who gambles. We sought to determine the type and closeness of relationships that are more likely to experience harm from another person's gambling, and examine which aspects of health and wellbeing are related to this harm. Methods: We examined survey data from 1,131 Australian adults who identified as being close to someone experiencing a gambling problem. The survey included information on relationship closeness, gambling-related harm (GHS-20-AO), and a broad range of health and wellbeing measures; including the Personal Wellbeing Index (PWI), the 12-item Short Form Survey (SF-12), and the Positive and Negative Affect Schedule Short Form (PANAS-SF). Results: CSOs in relationships where finances and responsibilities are shared were more likely to be harmed by another person's gambling problem, particularly partners (current and ex) and family members. This harm was most strongly associated with high levels of distress and negative emotions, impacting the CSO's ability to function properly at work or perform other responsibilities. Discussion and Conclusions: Support and treatment services for CSOs should consider addressing the psychological distress and negative emotions commonly experienced by CSOs.

Unambiguous evidence that over half of gambling problems in Australia are caused by electronic gambling machines: Results from a large-scale composite population study.

Background and aims: It is well understood that engagement with some forms of gambling, like EGMs, is riskier than other forms. However, while reports of associations are common, few studies have attempted to evaluate and compare the relative risk of all available forms, and none have estimated the relative contribution of each form to the total burden of gambling problems (GP) in a population. Methods: Using an aggregated dataset of national and state-based prevalence studies in Australia (N = 71,103), we estimated prevalence and unique effects of frequency of engagement on each form on GP. Two alternative numerical methods were then applied to infer the relative contribution of each form to the total amount of GP. Results: EGMs are responsible for 51%-57% of gambling problems in Australia, and 90% of gambling problems are attributable to EGMs, casino, race, and sports betting. Casino table games and EGMs are equally risky at the individual level, but the former contribute far less to problems due to low participation. Bingo and lottery play show no statistically detectable risk for GP. Discussion and conclusion: The results illustrate which forms present the greatest population burden and illuminate the reasons why. EGMs have an outsized impact. EGM uniquely combines high risk conditional on play, with a high participation rate and a high frequency of play among participants. This is in contrast to risky but less commonly played casino games, and prevalent but non-risky forms like lotteries. We conclude that EGM regulation should be a primary focus of policy action in Australia. More innovative policy ideas relating to EGMs should be tested due to the disproportionate impact of this product type.

Trajectories of wellbeing in people who live with gamblers experiencing a gambling problem: An 18-year longitudinal analysis of the Household, Income and Labour Dynamics in Australia (HILDA) survey.

In cross-sectional gambling studies, friends, family, and others close to those experiencing gambling problems (concerned significant others 'CSOs') tend to report detriments to their quality of life. To date, however, there have been no large, population-based longitudinal studies examining the health and wellbeing of CSOs. We analyse longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) survey to examine the 18-year trajectories of general, social, health and financial wellbeing of household CSOs (n = 477) and compare these to those without a gambling problem in the household (n = 13,661). CSOs reported significantly worse long-term wellbeing than non-CSOs in their satisfaction with life, number of life stressors, and social, health and financial wellbeing. However, both social and financial wellbeing showed a temporal effect, declining significantly for CSOs at times closer to the exposure to the gambling problem. This finding suggests a causal link between living in a household with a person with a gambling problem and decreased CSO social and financial wellbeing. Policy responses, such as additional social and financial support, could be considered to assist CSOs impacted by another person's gambling problem.

How gambling problems relate to health and wellbeing in Australian households: Evidence from the Household Income and Labour Dynamics of Australia Survey.

Gambling harms can impact the health and wellbeing of both individuals who gamble and those close to them. While harms occur across a spectrum of gambling risk levels, most research is conducted on people close to those gamblers who have severe problems. This study examined the health and wellbeing of people living with gamblers across the entire spectrum of gambling risk levels, via secondary analysis of the nationally-representative Household Income and Labour Dynamics in Australia Survey (HILDA). The subsample of interest comprised 13,698 respondents without a gambling problem of their own, aged between 15 and 84, and who lived in households where all residents completed the Problem Gambling Severity Index (PGSI). Health and wellbeing were measured via the SF-6D, the SF-36, and subjective wellbeing measures. Compared to those living in non-problem gambling households, participants living in problem-gambling households reported significantly lower mean SF-6D scores, lower scores on the SF-36 mental health domain, and significantly less satisfaction with both their financial situation and with feeling part of their local community. Participants living in moderate-risk gambling households also reported less satisfaction with their financial situation than those in non-problem gambling households. Conclusions: The results indicate that measurable impacts to the health and wellbeing of those living with gamblers occur predominantly at the more severe end of the risk level spectrum, except for financial dissatisfaction, which is also evident in those residing with gamblers categorised as moderate-risk.

Gambling-related harms to concerned significant others: A national Australian prevalence study.

Background and aims: Gambling-related harm to concerned significant others (CSOs) is an important public health issue since it reduces CSOs' health and wellbeing in numerous life domains. This study aimed to 1) estimate the first national prevalence of CSOs harmed by gambling in Australia; 2) identify the characteristics of CSOs most at risk of harm from another person's gambling; 3) compare the types and number of harms experienced by CSOs based on their relationship to the person who gambles; and 4) compare the number of harms experienced by CSOs by self-identified gender. Methods: Based on a national CATI survey weighted to population norms, 11,560 respondents reported whether they had been personally and negatively affected by another person's gambling in the past 12 months; and if so, answered detailed questions about the harms experienced from the person's gambling who had harmed them the most. Results: Past-year prevalence of gambling-related harm to adult Australian CSOs was (6.0%; 95% CI 5.6%-6.5%). CSOs most commonly reported emotional harms, followed by relationship, financial, health and vocational harms, respectively. Former partners reported the most harm, followed by current partners, other family members and non-family members, respectively. Female CSOs were more likely to report more harm and being harmed by a partner or other family member, and male CSOs from a non-family member. Discussion and conclusions: The findings provide new insights into the wider societal burden of gambling and inform measures aimed at reducing harm to CSOs from gambling and supporting them to seek help.

The effect of gambling problems on the subjective wellbeing of gamblers' family and friends: Evidence from large-scale population research in Australia and Canada.

BACKGROUND AND AIMS: Excessive time and money spent on gambling can result in harms, not only to people experiencing a gambling problem but also to their close family and friends ("concerned significant others"; CSOs). The current study aimed to explore whether, and to what extent, CSOs experience decrements to their wellbeing due to another person's gambling. METHODS: We analysed data from The Household Income and Labour Dynamics in Australia Survey (HILDA; N = 19,064) and the Canadian Quinte Longitudinal Study (QLS; N = 3,904). Participants either self-identified as CSOs (QLS) or were identified by living in a household with a person classified in the problem gambling category by the PGSI (HILDA). Subjective well-being was measured using the Personal Wellbeing Index and single-item questions on happiness and satisfaction with life. RESULTS: CSOs reported lower subjective wellbeing than non-CSOs across both countries and on all three wellbeing measures. CSO status remained a significant predictor of lower wellbeing after controlling for demographic and socio-economic factors, and own-gambling problems. There were no significant differences across various relationships to the gambler, by gender, or between household and non-household CSOs. DISCUSSION AND CONCLUSIONS: Gambling-related harms experienced by CSOs was reliably associated with a decrease in wellbeing. This decrement to CSO's wellbeing was not as strong as that experienced by the person with the first-order gambling problem. Nevertheless, wellbeing decrements to CSOs are not limited to those living with a person with gambling problems in the household and thus affect many people.

The Evolution of Gambling-Related Harm Measurement: Lessons from the Last Decade.

Jurisdictions around the world have a self-declared mandate to reduce gambling-related harm. However, historically, this concept has suffered from poor conceptualisation and operationalisation. However, recent years have seen swift advances in measuring gambling harm, based on the principle of it being a quantifiable decrement to the health and wellbeing of the gambler and those connected to them. This review takes stock of the background and recent developments in harm assessment and summarises recent research that has validated and applied the Short Gambling Harms Screen and related instruments. We recommend that future work builds upon the considerable psychometric evidence accumulated for the feasibility of direct elicitation of harmful consequences. We also advocate for grounding harms measures with respect to scalar changes to public health utility metrics. Such an approach will avoid misleading pseudo-clinical categorisations, provide accurate population-level summaries of where the burden of harm is carried, and serve to integrate gambling research with the broader field of public health.

The Relationship Between Family Gambling Problems, Other Family Stressors, and Health Indicators in a Large Population-Representative Sample of Australian Adults.

PURPOSE: Harms due to excessive gambling can be experienced by gamblers and those close to them. Family gambling problems (FGPs) are currently under-researched, particularly in population-representative samples. This study aimed to identify prevalence, risk factors, and the complex of stressors and health-related consequences associated with FGPs, as well as isolating the impact of FGPs on physical and psychological health problems. METHODS: We analysed data from the National Health Survey 2011-13, a large (N = 15,475) nationally representative sample of Australian adults. Participants reported on the presence of 14 family stressors (including FGPs), self-assessed health status, and risky health behaviours. Psychological impact was measured by the Kessler Psychological Distress Scale-10, as well as several indicators of the presence of mental health problems. RESULTS: Overall, 1.7% of households reported a FGP. Interviewees in these households reported three times the number of other stressors than those without a FGP. In addition, they were around eight times more likely to be experiencing other addictions (drug and alcohol related problems) and stressors associated with socially deviant behaviours (trouble with police, abuse or violent crime, and witness to violence). Once age, gender, socioeconomic disadvantage, and other stressors were controlled for, FGPs significantly predicted lower self-assessed health and higher psychological distress. CONCLUSIONS: FGPs occur within a complex of other addictions and stressors, impacting the quality of life of people close to problem gambling. The findings are discussed in relation to their support for General Strain Theory (Agnew, Criminology 30:47-87, 1992).