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Person

Vijay Rawat

Report

The social costs of gambling to Victoria, 2023

Georgia Dellosa, Alex Russell, Nerilee Hing, Matthew Rockloff, Chris Doran

The study adopted a public health approach, examining tangible and intangible costs associated with gambling problems in all gambling forms in Victoria. The study sought to quantify the cost of gambling harm to Victoria in financial terms. The total cost of gambling to Victoria in 2022-23 was estimated to be $14.1 billion.
Journal article

The COVID-19 lockdown experience suggests that restricting the supply of gambling can reduce gambling problems: an Australian prospective study

Gabrielle M. Bryden, Matthew Browne, Matthew Rockloff, Hannah B. Thorne, Philip Newall, Nicki A. Dowling, Stephanie S. Merkouris and Matthew Stevens
This article reports on a study that assessed people's gambling during and after the Australian COVID-19 lockdown. It found that gambling availability appears a stronger influence on gambling problems than psychosocial risk factors. Reducing the supply of high-risk gambling products is likely to reduce gambling harm.
Report

The relationship between gambling and intimate partner violence against women


This qualitative study investigated the relationship between gambling and violence by men against their female intimate partners. It also found that further gambling-related harm (including economic abuse) is enabled by current protocols of gambling operators and financial institutions.
Report

Responsible conduct of gambling study


This study contributes to the review and potential improvement of Responsible Conduct of Gambling (RCG) practices in NSW. There has not been a comprehensive examination into the effectiveness of RCG practices and training in NSW. The intention is for this research to build an evidence-base to inform improvements to RCG requirements, training and practices.
Report

Social influences on gamblers by risk group: an egocentric social network analysis


This study is the first to consider and directly compare the social networks of non-gamblers and non-problem, low risk, moderate risk and problem gamblers. It highlights the distinct role of social influence, likely through normalisation and social selection, not just of gambling, but also experiencing gambling-related harms.

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