Gambling Related Suicides Australia
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Gambling addiction was a contributing factor in nearly 130 suicides in Victoria over the past decade, according to figures released by the Victorian coroner. The report identified 128. The rampant opioid problem that is sweeping multiple countries is hitting Australia hard. In fact, 69 percent of drug-related deaths in 2015, a total of 1,395, were due to a prescription drug. Similarly to alcohol, people underestimate the dangerous potential of prescription medications.
Addicts 6x more likely to consider suicide
New research has revealed that problem gamblers have a six times greater chance of having suicidal thoughts, or attempt to kill themselves. They are also 15 times more likely to actually die by suicide.
The report was commissioned by the UK’s leading problem gambling charity, GambleAware. It calls upon the government to do much more to combat the perils of gambling.
The level of risk for problem gamblers remains the same, even when weighted for other potential contributing factors such as financial worries, substance abuse and depression. Even ignoring such factors, problem gamblers are still three times likelier to either contemplate or attempt suicide.
Of those who partook in the study, 19% had suicidal thoughts over the past 12 months, in comparison with 4.1% of the general population. Likewise, 4.7% had attempted suicide attempt compared with 0.6% of the general population.
A study recently published in Sweden showed similar results, linking problem gambling and suicide. While the criteria used were somewhat different, the basic conclusion remains the same.
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Profound harms
One of the authors of the report is a London School of Hygiene and Tropical Medicine professor. She believes urgent action is needed to help protect people with addiction issues.
Dr Heather Wardle said: “The harms from gambling are profound and can be devastating for individuals, families and communities. These results show how people with gambling problems are a higher risk group for suicidality.”
She added that additional training is needed for staff who could potentially interact with people who may be suicidal. She was critical of gambling companies, saying they need to “put people before profit.”
Urgent action needed
Liz and Charlie Ritchie lost their 24-year-old son Jack to suicide following struggles with a gambling addiction. They have backed the results of GambleAware’s research. They said that lax regulation of the gambling industry is a contributing factor to suicides like that of their son.
The Ritchies are also taking legal action to make the government legally liable for Jack’s death. They believe that each year in the UK hundreds of suicides are linked to gambling issues. They are calling on the government, the industry and the regulators to act now.
One area the Ritchies believe needs urgent action is banning gambling advertising. They also want a mandatory levy on gambling companies’ revenues. Currently, there is a voluntary levy, but it does not generate the funds that it should. Some gambling companies are contributing as little as £1 annually.
Gambling Related Suicides Australian
A group of gambling companies have said they want to avoid a mandatory levy. Instead they have offered to increase the amount they pay for the next five years, up to 1% of their annual revenues. This would see GambleAware receive about £60m each year.
Executive Summary
This report provides an overview of gambling activity in Australia in 2015, with respect to participation, expenditure, and problems among regular gamblers. The report follows a format and style common to gambling prevalence studies conducted in Australia and elsewhere.
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As with those studies, the report is intended as a reference document. It is written primarily for researchers and government officials who have an interest in Australian gambling statistics. This report makes a unique contribution to knowledge of gambling in Australia, since Australia has no prior history of surveying and reporting on gambling activity among regular gamblers at the national level.
The content consists primarily of descriptive statistics with a focus on population estimates. The statistics were obtained from cross-sectional analysis of Household, Income and Labour Dynamics in Australia (HILDA) Survey data, wave 15, which is the first wave to include gambling questions. The HILDA Survey was designed so that participants' responses (17,606 participants in wave 15) could be generalised to the Australian adult population.
The participation statistics include population-representative estimates of the proportion and number of Australians who spent money on up to ten common gambling activities (lotteries, instant scratch tickets, electronic gaming machines, race betting, sports betting, keno, casino table games, bingo, private betting and poker) in a typical month of 2015. The report refers almost entirely to these gamblers, which we refer to as regular gamblers.
Chapter 1 of this report provides the background to the study and details regarding study design and methodology. Chapters 2 and 3 respectively provide statistics regarding typical gambling participation and expenditure.Chapters 4 and 5 address participation and expenditure among adults who experienced gambling-related problems. In Chapter 6 gambling expenditure is positioned within the household budgets of low, middle and high-income households. As well, rates of financial stress are compared between households that contain members with and without gambling problems. Additional tables, including a comparison of the HILDA Survey gambling statistics with recent state/territory and national prevalence data and industry revenue data, can be found in the Appendices.
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The report identifies an estimated 6.8 million regular gamblers in 2015, among whom lottery participation was very common (76%). Instant scratch tickets (22%) and electronic gaming machines (EGMs; 21%) followed, attracting 1.4 to 1.5 million gamblers. Less than a million gambled regularly on anything else, including racing (14%), sports betting (8%), keno (8%), casino table games (3%), bingo (3%), private betting (2%) and poker (2%). It was common for people to participate either solely in lotteries (59%), or a combination of lotteries and up to two additional activities.
While lotteries and instant scratch tickets were the most popular activities, individual gamblers spent comparatively little on these activities in a typical month, and therefore over the entirety of the year ($695 and $248 per year on average). Those who gambled on Electronic Gaming Machines spent a great deal more per year ($1,292 on average). So too did those who regularly gambled on races ($1,308), sports ($1,032), casino table games ($1,369), and particularly poker ($1,758).
Regular gamblers, viewed by activity, have quite different profiles. For example, compared to the Australian population:
- lottery participants were over-represented among older couples living without children;
- EGM participants were over-represented among people for whom welfare payments formed their main source of income;
- bingo participants were over-represented among retired women living alone;
- regular race or sports bettors were over-represented among men on higher incomes, yet the race bettors were more likely to be older and live in outer regional/remote areas; and
- sports bettors were more likely to be younger and live in an inner-regional area or major city.
Gambling problems are indicated in the HILDA Survey by endorsing one or more items on the Problem Gambling Severity Index (PGSI). According to the standard use of the PGSI, 1.1 million regular gamblers were estimated to have behaved in ways that caused or put them at risk of gambling-related problems.
Among this subset of regular gamblers, there were more sociodemographic similarities than differences. Those who experienced problems were generally more likely to be young, single, unemployed or not employed (excluding retirees and full-time students), Indigenous, men, living in rental accommodation, in a low socioeconomic area, and were more likely to draw their income from welfare payments than those who had no problems.
Those with problems were also more likely to participate regularly in certain activities. This led to rates of problems being particularly high among participants in six activities (EGMs, race betting, sports betting, casino table games, private betting, and poker) with almost 1-in-2 gamblers on any of these activities experiencing one or more issues.
Another thing those with problems had in common was higher than average spending on gambling. This was particularly so among EGM, race and sports betting participants. Those experiencing the greatest problems spent more than four times as much on these activities, and on gambling overall, as those without problems. Well over half of all expenditure by regular gamblers on these activities came from people who had problems.
Overall, more than forty percent of gambling expenditure by regular gamblers, aggregated across all activities, was accounted for by the 17% who experienced problems.
Gambling expenditure has significant financial ramifications for low-income households, particularly among households where gamblers experienced problems. Gamblers living in low-income households spent a much greater proportion of their household's total disposable income on gambling than high-income households (10% vs 1% on average) - this despite spending less in actual dollar terms ($1,662 vs $2,387).
Gamblers who had problems spent much more of their households' income on gambling than other regular gamblers, with those experiencing severe problems in low-income households spending an average 27% of their disposable household income on gambling - equivalent to four times their yearly household utility bills, or more than half the grocery bills for that income group.
Consistent with these patterns of expenditure, the households of those with gambling problems had a much greater proportion of stressful financial events. Inability to pay electricity, gas or telephone bills on time, and needing to ask friends or family for financial help, were common occurrences.
Future waves of the HILDA Survey will provide nationally representative longitudinal data with which to measure changes in gambling activity and effects on individuals and their households.
The authors would like to thank all those colleagues who contributed to creating gambling questions for the HILDA survey and for their input into this report. In particular, we would like to thank:
- Doctor Anna Thomas, Australian Gambling Research Centre, Australian Institute of Family Studies
- Doctor Jennifer Baxter, Australian Institute of Family Studies
- Assistant Professor Nicki Dowling, Deakin University
- Professor Bryan Rodgers, Australian National University
- Acting Director Rachel Henry, Welfare Quarantining and Gambling Branch, Department of Social Services
- Professor Mark Wooden, Melbourne Institute of Applied Economic and Social Research, University of Melbourne
- Doctor Diana Warren, Australian Institute of Family Studies
- Director Anne Hollonds, Australian Institute of Family Studies
- And all of the participants who took part in the HILDA Survey and made this report possible.
Disclaimer
This report uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute. As well, the views expressed may not reflect those of the Australian Institute of Family Studies or the Australian Government.
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