This report is available at: http://www.responsiblegambling.vic.gov.au/__data/assets/pdf_file/0006/14289/A-comparative-study-of-men-and-women-gamblers.pdf
Research objectives
This study was funded by the Victorian Responsible Gambling Foundation to extend the analyses conducted for A Study of Gambling in Victoria (Hare, 2009) to provide detailed analyses of similarities and differences between male and female gamblers in Victoria Australia. The research objectives were to:
1. Analyse the similarities and differences between male and female gamblers in Victoria in terms of gambling preferences, activities and styles of play; gambling motivations and attitudes; physical and mental health; family and early gambling influences; and help-seeking behaviour; and
2. Analyse the similarities and differences between male and female gamblers in Victoria in terms of risk factors associated with problem/moderate risk gambling and protective factors associated with low risk/non-problem gambling.
Approach
A Study of Gambling in Victoria (Hare, 2009) is the largest study of gambling in Victoria ever undertaken. It was conducted between August and October 2008 and collected data from 15,000 participants using Computer Aided Telephone Interviewing (CATI). The sample was stratified to reflect the adult population of each of the eight government regions across Victoria, with high EGM expenditure areas over-sampled to ensure the sample captured likely problem gamblers. The survey data were then weighted to ensure that the sample was as closely aligned to the Victorian adult population as possible. This included weighting adjustments to reflect the method of sampling, number of adults and telephone lines per household and other general Victorian population characteristics. These weights were also used in all analyses conducted for the present study.
To address Research Objective One, differences in percentages for males and females were assessed using chi-square tests of independence and pairwise comparisons, while differences in continuous variables were tested using parametric (t-tests) and non-parametric (Mann-Whitney U-test) analyses. Interactions were tested using logistic regressions and ANOVAs as appropriate. To address Research Objective Two, moderate risk/problem gamblers were compared to low risk/non-problem gamblers, with separate comparisons for males and females.
Main results for Objective One
• Male gambling participation was highest for lottery-type games, raffles/sweeps/competitions, EGMs, race wagering, table games, sports betting and informal private betting, respectively. Compared to female gamblers, higher proportions of men gambled on most of these gambling forms as well as on keno, although they were less likely than women to gamble on raffle/sweeps/competitions and bingo.
• Males tended to gamble more frequently than females on most gambling forms, including informal private betting, EGMs, table games, race and sports wagering, lottery-type games, scratch tickets, and raffles/sweeps/other competitions.
• Younger men were significantly more likely than older men to take part in informal private betting, EGMs, table games, race wagering, sports betting, scratch tickets and phone/SMS competitions. Older male gamblers were more likely than younger male gamblers to engage in lottery type games and raffles/sweeps/other competitions.
• Amongst female gamblers, lottery-type games and raffles/sweeps/competitions, followed by EGMs and race wagering, attracted highest participation. Women were significantly less likely than men to gamble on other skill-based gambling activities but were more likely to participate in scratch tickets, bingo, phone/SMS competitions and raffles/sweeps/competitions.
• Younger women were more likely than older women to participate in informal private betting, table games, race wagering, sports betting, scratch tickets and phone/SMS competitions. Older women were more likely than younger women to take part in lottery-type games and raffles/sweeps/other competitions, and also in bingo.
• Participation in skill-based activities amongst younger women was less than for younger male gamblers, but proportionately more younger women participated in scratch tickets and phone/SMS competitions compared to younger men.
• Notably, older female gamblers were more likely to take part in EGM gambling, while the opposite was true for males.
• Men spent significantly more money than women in the past 12 months on their highest-spend gambling activity.
• Males were significantly more likely than females to play higher denomination EGMs and to bet more than one credit per line. For race wagering, women were more likely to bet each way and men were more likely to bet on trifectas and other more exotic types of bets.
• More than half the female gamblers reported not taking any bank cards to gambling, while males were significantly more likely to take a credit card or both credit and ATM/EFTPOS cards. Men also had greater tendency to take larger amounts of cash to gambling venues and to withdraw money for gambling purposes compared to women.
• Men were significantly more likely than women to gamble for social reasons or for general entertainment, while women were more likely to gamble for charity or other reasons, including because gambling takes your mind off things and relieves stress and boredom.
• Higher proportions of male gamblers reported substance use than female gamblers, including smoking, alcohol consumption and using marijuana/hashish.
• Female gamblers were more likely to report depression, anxiety and obesity and to exhibit a significantly higher level of psychological distress, compared to male gamblers.
• Male moderate risk and problem gamblers started gambling at a significantly younger age than their female counterparts and were more likely to start gambling alone. EGMs and other forms were the most common first gambling form for female moderate risk and problem gamblers, compared to race wagering, table games or informal private betting for their male counterparts.
• A significantly higher proportion of female problem gamblers (40.5%) reported seeking help for their gambling compared to 18.1% of male problem gamblers.
Main results for Objective Two
• Male gamblers were significantly more likely to have had some level of problem gambling both at some point in their life and during the last 12 months, compared to female gamblers. Lifetime prevalence of problem/pathological gambling was 3.2% for men, which was double the rate for women (1.6%). Past year prevalence of problem gambling amongst gamblers was 1.3% for men which was also double the rate for women (0.6%).
• Younger men were more likely to be moderate risk/problem gamblers compared to younger women, while older women were more likely to be low risk/non-problem gamblers compared to older men.
• Amongst males, those in in part-time employment were significantly more likely to be in the higher risk PGSI categories, while the opposite was found for men in full-time employment. Amongst women, those who were unemployed were more likely to be moderate risk/problem gamblers.
• EGM participation and frequency were significantly more problematic for females than for males, while table games and race wagering were more problematic for men. Sports betting may also be more problematic for men.
• Statistically significant predictors of at-risk gambling status amongst male Victorian gamblers were: being 18-24 years old (compared to being 65 or older), speaking a language other than English at home, having Year 10 or lower education (compared to those with university level education or those who have completed Year 12), living in a group household (compared to being a couple with children), being unemployed or not at work (compared to full-time employment), betting on EGMs, table games, horse/harness/greyhound racing, sports or events outcomes, or Lotto/Powerball/Pools (compared to not betting on those forms), not betting on raffles, sweeps and other competitions (compared to betting on them), and gambling for reasons other than social reasons, to win money or for general entertainment .
• Statistically significant predictors of at-risk gambling status amongst female Victorian gamblers were: being 18-24 years old (compared to being 65 or older), speaking a language other than English at home, living in a group household (compared to being a couple with children), being unemployed or not in the workforce (compared to both full-time and part-time employment), betting on informal private betting, EGMs, scratch tickets or bingo (compared to not betting on those forms), not betting on raffles, sweeps and other competitions (compared to betting on them), an gambling for reasons other than social reasons, to win money or for general entertainment.
• While there were few differences between risk factors for men and for women, analysis of which predictors were significantly different for women and for men indicated that being aged 45-54 years and betting on informal private betting, EGMs and scratch tickets were comparatively stronger predictors for women, while having a university education, being unemployed, and betting on table games, races and lottery-type games were comparatively stronger predictors for men.
• Protective factors associated with low risk/non-problem gambling were also nearly identical for men and women, which is not surprising given they are essentially the reverse of identified risk factors. Amongst both males and females, being aged 65 years or older, speaking English at home, being in full-time or part-time employment, betting on raffles, sweeps and other competitions, and gambling for social reasons, to win money or for general entertainment were statistically significant predictors of low risk/non-problem gambling. A further protective factor for males was having a Year 12 or university education.
Limitations of the study
The main limitations of the dataset that hindered certain analyses were: 1) relatively small numbers of problem gamblers, necessitating the combining of moderate risk and problem gambler groups to analyse risk factors for problem gambling; 2) that several potential risk factors were only asked of moderate risk and problem gamblers which limited comparisons that could be conducted amongst PGSI groups (perceived gambling problems, gambling in households, families and relationships, how people started gambling, gambling help and awareness of gambling help, overcoming problem gambling, role of significant others, readiness to change, and suicide, substance use and crime); 3) a non-validated version of the PGSI was used to measure problem gambling severity and it is not known how this affected PGSI results and assignment of respondents to PGSI groups; 4) most other measures used in the survey have also not been validated, so it is difficult to assess whether related findings reflect true differences or measurement artefacts; and 5) sample sizes were quite different across the analyses (which were thus associated with different levels of statistical power). Where numbers are small, some results may be unlikely to generalise or replicate..
Conclusions and Implications
This study has largely confirmed findings from previous gender analyses of gambling and problem gambling, but in a large representative sample. Major differences in gambling preferences were found amongst men and women. These differences manifest as higher male gambling involvement in most forms, particularly skill-based gambling, and greater risk-taking behaviours, along with higher rates of problem gambling. Women show a preference for chance-based gambling forms, which may be driven by the capacity of EGM gambling in particular to provide an escape from stress, loneliness, boredom and their higher rates of anxiety and depression. While problem gambling prevalence is lower amongst women, their gambling problems are largely related to EGM gambling.
Analysing risk factors for problem gambling allows high-risk groups to be identified and appropriately targeted for early intervention and prevention. The results of this study indicate that the primary targets for public health interventions in Victoria comprise young adults, especially males; older women who play EGMs; non-English speaking populations; frequent gamblers on EGMs, table games, race and sport wagering; and gamblers motivated by escape-based reasons.