2017
DOI: 10.1080/14459795.2017.1304973
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A population-level metric for gambling-related harm

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Cited by 93 publications
(93 citation statements)
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“…Nevertheless, the PP is concerned with binary categories (high vs. low risk, or – alternatively – adverse consequence occurring or not). Therefore, this study focuses on the relative prevalence of specific harms, rather than aggregating a unitary metric as has been done previously ( Browne, Greer, Rawat, & Rockloff, 2017 , Browne, Rawat, et al., 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the PP is concerned with binary categories (high vs. low risk, or – alternatively – adverse consequence occurring or not). Therefore, this study focuses on the relative prevalence of specific harms, rather than aggregating a unitary metric as has been done previously ( Browne, Greer, Rawat, & Rockloff, 2017 , Browne, Rawat, et al., 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…First is that such studies will underestimate the extent of harm from gambling. By way of illustration, research indicates only 15% of the total harm from gambling that is attributable to severe cases of problem gambling, with most harm linked to larger numbers exhibiting problems that are low to moderate in severity [6]. Harms from gambling also reflect impacts on other people (e.g., family members), and studies suggest greater numbers of households affected by gambling (around 11%) [52], relative to problem gambling rates among individuals (closer to 1%) [53].…”
Section: Industry Interests In Gambling Researchmentioning
confidence: 99%
“…Recent decades have been characterised by expansions in the availability of gambling products and services [1][2][3][4], which have provided for growth in participation and behaviours that precede gambling-related harms [5]. These contribute towards substantial burdens on public health, which are comparable in some regards to other hazardous or addictive behaviours (e.g., alcohol use) [6] that are indicated targets for harm reduction policies [7]. However, research indicates that the evidence underlying many such policies has been distorted by commercial industries that derive revenue from these commodities [8].…”
Section: Introductionmentioning
confidence: 99%
“…Once a per-person estimate of harm is created, this estimate is then linked to population prevalence data to generate a population-level description of the distribution of harm. To apply such a methodology to gambling is a difficult and complex; and as a result, the first steps that have been taken in this regard ( Browne, Greer, Rawat, & Rockloff, 2017 ) must be regarded as preliminary. However, Delfabbro and King ( 2017 ) suggest that we consider a “meaningful threshold” in evaluating whether or not specific harms are truly reducing a person’s quality of life.…”
Section: What Is a “Bad Harm” And Who Decides?mentioning
confidence: 99%