Pokies and poverty: problem gambling risk factor geography in New Zealand

Wheeler, Benedict W.; Rigby, Janette E; Huriwai, Terry

doi:10.1016/j.healthplace.2004.10.011

Cited by 83 publications

(69 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Only recently has the role of regulatory and legislative changes received broader attention in relation to its (potential) impact upon the unequal distribution of gambling opportunities. As Wheeler et al (2006) note, in other areas of 'addictive' health behaviours policy often trails research and this appears to be the case with gambling. Crucially, whilst there is widespread acceptance of problem gambling as a psychiatric disorder and a recognition its prevalence should be minimised, a public health based approach to policy in Britain has not been adopted.…”

Section: Discussionmentioning

confidence: 99%

“…The British Gambling Prevalence Survey 2010 showed that the prevalence of playing gambling machines was significantly higher among those who were unemployed, had low personal income and/or were living in areas of greatest deprivation (Wardle et al, 2011). As noted in other jurisdictions, a majority of those presenting for treatment for gambling problems are heavily involved in machine play (Wheeler et al, 2006;GamCare, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Research from Australia and Canada has suggested that they are frequently clustered in areas of high socio-economic deprivation and are associated with higher rates of problems among individuals from lower socio-economic groups (Livingstone, 2001;Abbott et al, 2004;Wheeler et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

‘Risky Places?’: Mapping Gambling Machine Density and Socio-Economic Deprivation

Wardle

Keily²,

Astbury³

et al. 2012

J Gambl Stud

128

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

‘Risky Places?’: Mapping Gambling Machine Density and Socio-Economic Deprivation

Wardle

Keily²,

Astbury³

et al. 2012

J Gambl Stud

128

View full text Add to dashboard Cite

“…To account for this situation, ArcMap10's Geographically Weighted Regression (GWR) tool runs a regression for each feature (Area Unit) rather than the study area as a whole, allowing model coefficients to vary regionally (Brunsdon, Fotheringham, & Charlton, 1998;Mitchell, 2005). Previous accessibility-related applications of GWR include examination of geographical factors and problem gambling (Wheeler et al, 2006) …”

Section: Geographically Weighted Regressionmentioning

confidence: 99%

A spatial analysis of the geographic distribution of musculoskeletal and general practice healthcare clinics in Auckland, New Zealand

2013

View full text Add to dashboard Cite

“…While the majority of gamblers in a given population gamble within their personal and financial limits, a proportion gamble excessively and experience a variety of difficulties (Wheeler et al 2006, Korn et al 2003.…”

Section: (Statistics Canada 2006a)mentioning

confidence: 99%

Neighbourhood contexts and opportunities for youth gambling in Montréal, Québec

Wilson¹

2005

PsycEXTRA Dataset

View full text Add to dashboard Cite

Gambling has become an increasingly accessible and acceptable form of entertainment in North America and worldwide in recent decades. Legalized gambling activities in Canada generate annual governmental revenues that totalled 12.9$ billion dollars in 2005 and estimates indicate that over 70 percent of the adult population and nearly as many young people participate in some form of gambling in a given year. Beyond a source of entertainment and governmental revenue, gambling is an emerging public health issue at the centre of numerous social and health costs including suicide, depression, criminal and delinquent behaviour, domestic violence, family dysfunction, financial troubles, and increased risk of developing multiple addictions.Video lottery terminals (VLTs) are among the most popular and controversial gambling activities in Quebec and Canada. The increased availability and popularity of gambling activities like VLTs is cause for concern given high rates of gambling among vulnerable youth populations and what is known about the links between excessive gambling and serious social and health consequences. Gambling research has traditionally focused on identifying individual factors that influence gambling behaviours, like personal decision-making, impulsivity and self-control.This dissertation employs conceptual themes from health geography and population health to frame gambling as a behaviour best understood through a consideration of both individual characteristics and characteristics of surrounding social and physical environments. A mixed methods approach was adopted to explore individual and environmental factors of neighbourhoods that influence youth VLT gambling. Four research objectives were addressed: 1) to describe the socio-spatial distribution of gambling opportunities surrounding high schools in Montreal; 2) to model VLT use by youth in Montreal as a function of individual and social contextual characteristics (including VLT accessibility); 3) to develop an in-depth understanding of why youth gamble; and 4) to develop an understanding of the social norms that are supportive of youth gambling.Assessment of the distribution of VLT gambling opportunities (n=400) high school locations (n=305) and neighbourhood socio-economic conditions within the Montreal Census Metropolitan Area revealed VLT opportunities were more abundant in economically disadvantaged and inner-city school neighbourhoods. A student survey (n=2672) in Montreal and geographic data of VLT locations and socio-economic conditions of school neighbourhoods demonstrated that the majority (60%) of youth reported gambling in the past year and nearly one tenth reported gambling weekly. Twelve percent of students reported playing VLTs and one in three students reported VLT use by friends. Students most often reported gambling for fun, money, entertainment and excitement. Logistic regression models of VLT use showed male sex, engaging in other risky behaviours (particularly marijuana use), II attendance at schools where gambling is prev...

show abstract

Pokies and poverty: problem gambling risk factor geography in New Zealand

Cited by 83 publications

References 7 publications

‘Risky Places?’: Mapping Gambling Machine Density and Socio-Economic Deprivation

‘Risky Places?’: Mapping Gambling Machine Density and Socio-Economic Deprivation

A spatial analysis of the geographic distribution of musculoskeletal and general practice healthcare clinics in Auckland, New Zealand

Neighbourhood contexts and opportunities for youth gambling in Montréal, Québec

Contact Info

Product

Resources

About