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As part of a larger study, this paper reports on findings into risk and protective factors associated with gambling products and services by Indigenous Australians. Both Indigenous card gambling (traditional or unregulated) and commercial gambling (regulated) were investigated. Permission was granted by Indigenous Elders and by a university ethics committee to conduct this research. Using qualitative methods and purposeful sampling, interviews were conducted with 60 Indigenous and 14 non-Indigenous Australians, 14 non-Indigenous gambling help counsellors and 20 non-Indigenous gaming venue managers. Risk factors include gambling availability and familiarity, the use of non-monetary stakes and traditional exchange systems, venue comfort, social inclusiveness and ignoring cultural relationship restrictions. Protective factors include limiting physical and social access to gambling, self-regulated social group gambling and engagement with collective culture. From a public health stance, inclusive responsible gambling policies designed around access may assist Indigenous gamblers in more appropriate and meaningful ways. [ABSTRACT FROM AUTHOR]

Youth gambling is associated with a range of harms. This study aimed to examine, among Australian adolescents, the prevalence of gambling (ever, in the last month, at-risk and problem), the most frequent gambling types and modalities, and to explore the student characteristics associated with gambling in the last month and with at-risk or problem gambling. Students aged 12–17 years from Victoria and Queensland answered gambling questions as part of the Australian Secondary School Alcohol and Drug (ASSAD) Survey in 2017. The ASSAD also included a series of questions about smoking, alcohol and other drug use, and mental health. A total of 6377 students from 93 schools were included in analysis. The prevalence of ever gambling and gambling in the last month was 31% and 6% respectively. Of students who had gambled in the last month, 34% were classified as at-risk and 15% were classified as problem gamblers. The most frequent types of gambling in the last month were horse or dog race and sports betting. Students who gambled in the last month did so most frequently via a parent or guardian purchasing or playing for them, at home or at a friends' house, and online or using an app. Regression analysis indicated that male gender, having money available to spend on self, alcohol consumption in the last seven days, the number of types of advertisements seen in the last month, and the number of peer or family members who gambled in the last month, were significantly associated with the likelihood of students gambling in the last month. Male gender, some age categories, and exposure to more types of gambling advertising were also significant predictors of being classified as an at-risk or problem gambler. This large study of youth gambling provides data on gambling behaviours and related variables from a large sample of Australian secondary school students. Student characteristics, including male gender and exposure to more types of gambling advertising, were associated with an increased likelihood of gambling in the last month and of being classified as an at-risk or problem gambler. Further implications of the study findings are discussed. [ABSTRACT FROM AUTHOR]

A valid 1 item screen ( 'In the past 12 months, have you ever had an issue with your gambling?') is potentially important in both a primary care setting and in research applications where an extended screen is not practical or affordable. Prior research by Thomas et al. (A one item screening tool for problem gambling for use in primary care settings, Unpublished Manuscript, Monash University, ) and Thomas et al. (MJA 189(3):135-136, ) found that the 1 item screen provided acceptable performance when compared to the 9-item Problem Gambling Severity Index (PGSI, Ferris and Wynne in The Canadian problem gambling Index: Final report, Canadian Centre on Substance Abuse, ). The current study sought to replicate these findings in a different geographic area. Data were collected from a telephone survey of 1,292 respondents in Queensland. Results from the phone survey showed a very high proportion of false negatives (79%), indicating that approximately 4/5 of positively identified problem gamblers from the PGSI refused to admit to having any 'issues with (their) gambling' in the last 12 months. Further investigation using Rasch analysis (Andrich in Medical Care, 42(1):7-16, ) revealed that while the internal construct validity of the PGSI was good, the 1 item screen was ineffective as an indicator of those who are presently at risk for problem gambling. One possible explanation for the discrepancy with past results is that the present study employed the qualifier of 'In the past 12 months' to match with the questions on the PGSI, whereas the prior research excluded this timeframe limit. Nevertheless, the current study casts doubt on the ability or willingness of people with severe gambling problems to self-diagnose their behavior as problematic. [ABSTRACT FROM AUTHOR]

An experiment tested whether thinking about oneself, particularly in negative terms, increases gambling intensity on Electronic Gaming Machines (EGMs). Forty male and 65 Female participants, aged 18-76 ( M = 46.2, SD = 15.3), were recruited through newspaper advertisements to play a laptop simulated EGM in Hervey Bay, Queensland, Australia. Prior to play, subjects in the test conditions audio tape-recorded 2 min of self reflection on either: (1) 'things you like about yourself,' or (2) 'things you don't like about yourself.' Immediately after the recordings, the subjects played an EGM that was programmed (rigged) with five wins in the first 20 spins, and indefinite losses thereafter. Participants gambled more intensively in terms of Average Bet Size, Number of Trials Played, and Speed of Betting in the negative self reflection condition compared to the control condition. The experiment supports the proposition that EGM gambling behavior is motivated by escape from negative self reflection. [ABSTRACT FROM AUTHOR]

Tourists at the Koorana Saltwater Crocodile Farm in Coowonga, Queensland, Australia, including 62 males and 41 females, aged 18-66 ( M = 34.2, SD = 13.3), were randomly assigned to play a laptop-simulated Electronic Gaming Machine (EGM) either: (1) prior to entry, or (2) after having held a 1-m saltwater-crocodile. Gambling behavior; including bet-size, speed of betting, final payouts and trials played on the EGM; was investigated with respect to participants' assigned arousal condition, problem-gambling status, and affective state. At-risk gamblers with few self-reported negative emotions placed higher average bets at the EGM after having held the crocodile when compared to the control. In contrast, at-risk gamblers with many self-reported negative emotions placed lower average bets at the EGM after having held the crocodile. The results suggest that high arousal can intensify gambling in at-risk players, but only if this feeling state is not perceived as a negative emotion. [ABSTRACT FROM AUTHOR]

Studies attempting to identify the specific ‘addictive’ features of electronic gaming machines (EGMs) have yielded largely inconclusive results, suggesting that it is the interaction between a gambler’s cognitions and the machine, rather than the machine itself, which fuels excessive play. Research has reported that machine players with gambling problems adopt a number of erroneous cognitive perceptions regarding the probability of winning and the nature of randomness. What is unknown, however, is whether motivations for gambling and attitudes toward pre-session monetary limit-setting vary across levels of gambling severity, and whether proposed precommitment strategies would be useful in minimizing excessive gambling expenditures. The current study explored these concepts in a sample of 127 adults, ages 18 to 81, attending one of four gambling venues in Queensland, Australia. The study found that problem gamblers were more likely than other gamblers to play machines to earn income or escape their problems rather than for fun and enjoyment. Similarly, they were less likely to endorse any type of monetary limit-setting prior to play. They were also reticent to adopt the use of a ‘smart card’ or other strategy to limit access to money during a session, though they indicated they lost track of money while gambling and were rarely aware of whether they were winning or losing during play. Implications for precommitment policies and further research are discussed. [ABSTRACT FROM AUTHOR]