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Assessment of the Social and Economic Impacts of Gambling. Sally Casswell En Li Lin Ru Quan You Brian Easton. This research was funded by the Ministry of Health Principal Investigators: Professor Sally Casswell En-Yi (Judy) Lin Ru Quan (Ryan) You Brian Easton Professor Jurgen Rehm
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Assessment of the Social and Economic Impacts of Gambling Sally Casswell En Li Lin Ru Quan You Brian Easton
This research was funded by the Ministry of Health Principal Investigators: Professor Sally Casswell En-Yi (Judy) Lin Ru Quan (Ryan) You Brian Easton Professor Jurgen Rehm Lorna Dyall (Ngati Maniapoto), Lanuola Asiasiga and En-Yi Lin served as cultural advisors to the project
Social and economic impacts • Systematic analysis • Reliant on available data
General population survey • Representative sample and allowing for disaggregation by age groups, gender and by ethnic groups (Maori; Pacific; Chinese and Korean; and European). • Gambling participation measured independently of response to gambling • Gambling participation disaggregated by mode and venue • Negative and positive impacts measured • Coverage of quality of life in number of selected domains • Own and Associates impacts measured • Cross-sectional with complementary measures of impacts included • Replicable methodology
Methodology • CATI survey of stratified sample of NZ residents and over samples of ethnic minorities • Data collected May – November 2007 • 15 – 80 years • Instrument based on extensive qualitative research and piloting. Translated into Chinese and Korean. • Overall response rate 63%
Participation in gambling • 62% participation in some form of gambling in past 12 months (raffles/casino evenings not listed) • 54% bought lottery products in past 12 months • 6% race track; 8% TAB; • 8% pokies in casino; 8% pokies in bars; 4% pokies in clubs; • 4%Poker/cards in homes • Less than 1% internet, texting
Categorisation of gambling by time and money • Loss to income ratio (lost more than 5% of income) = 8% • Time spent gambling (more than 3 hours per week) = 5% • Higher participation ( more than 3 hours per week, loss to income ratio more than 5%) = 3.2%
Figure 4: Percentage of general population (weighted) at each gambling level
Impacts of gambling loss/income ratio • physical health negative • mental well being negative • relationships with family and friends negative • feelings about self negative • overall quality of life negative • overall satisfaction with life negative • financial situation no impact • housing situation no impact • material standard of living negative • work performance no impact • study/work training performance negative • care giving of children no impact • care giving of elderly no impact
Longer time on race track • physical health positive • mental well being no impact • relationships with family and friends no impact • feelings about self positive • overall quality of life no impact • overall satisfaction with life positive • financial situation positive • housing situation positive • material standard of living positive • work performance no impact • study/work training performance no impact • care giving of children no impact • care giving elderly no impact
Longer time on casino tables • physical health negative • mental well being negative • relationships with family and friends no impact • feelings about self no impact • overall quality of life negative • overall satisfaction with life no impact • financial situation no impact • housing situation no impact • material standard of living no impact • work performance negative • study/work training performance no impact • care giving of children no impact • care giving elderly no impact
Longer time spent playing EGMs in clubs • physical health negative • mental well being no impact • relationships with family and friends no impact • feelings about self no impact • overall quality of life no impact • overall satisfaction with life no impact • financial situation no impact • housing situation no impact • material standard of living no impact • work performance no impact • study/work training performance no impact • care giving of children no impact • care giving elderly no impact
Longer time spent playing EGMs in casino • physical health negative • mental well being negative • relationships with family and friends negative • feelings about self negative • overall quality of life negative • overall satisfaction with life negative • financial situation no impact • housing situation positive • material standard of living positive • work performance no impact • study/work training performance no impact • care giving of children no impact • care giving elderly no impact
Longer time playing EGMs in bars • physical health negative • mental well being negative • relationships with family and friends negative • feelings about self negative • overall quality of life negative • overall satisfaction with life negative • financial situation no impact • housing situation no impact • material standard of living no impact • work performance no impact • study/work training performance no impact • care giving of children negative • care giving elderly no impact
Impacts of other people’s gambling • About 12% had at least one person in their lives whom they considered to have been ‘fairly heavy gamblers’ • They reported poorer physical health, poorer mental well being and lower life satisfaction • They were also more likely to have been involved in illegal activities
Satisfaction with Life: estimated effects of three counterfactuals
Conclusions • Loss to income ratio good predictor on reduced quality of life in a number of life domains • Time spent gambling in different modes/venues showed impact of pokies, especially in bars. • Other modes of gambling more variable. • The study revealed significant associations between exposure to heavy gamblers and physical and mental health and satisfaction with life. • The study provided useful data to contribute to estimates of the social costs of gambling