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gambling in alberta - Research Services - University of Lethbridge

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This is consistent with the general stabilization (and/or decrease) <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong><br />

prevalence rates that have occurred <strong>in</strong> many western jurisdictions s<strong>in</strong>ce about 2001 or 2002<br />

(AGRI, 2011). It is also consistent with the ‘adaptation’ hypothesis (LaPlante & Shaffer, 2007;<br />

Shaffer et al., 2004) that states that most harms associated with <strong>gambl<strong>in</strong>g</strong> occur after it is first<br />

<strong>in</strong>troduced because the population has little experience/knowledge about the product, and its<br />

novelty encourages high rates <strong>of</strong> participation. However, with time, participation rates go<br />

down because the novelty has worn <strong>of</strong>f, and the population’s familiarity with the product (and<br />

potentially adverse experience) helps <strong>in</strong>oculate them from further harm.<br />

There are three important caveats to the above po<strong>in</strong>ts. First, problem <strong>gambl<strong>in</strong>g</strong> affects more<br />

than just the problem gambler. These Alberta population surveys have established that about<br />

half <strong>of</strong> problem gamblers are currently married or liv<strong>in</strong>g common-law. Many also have<br />

children. The 2007 national survey is the only that <strong>in</strong>vestigated this latter issue, where it was<br />

found that 76% <strong>of</strong> problem gamblers reported hav<strong>in</strong>g children (average number = 3.1). Thus, it<br />

is reasonable to assume that the percentage <strong>of</strong> people potentially impacted by problem<br />

<strong>gambl<strong>in</strong>g</strong> is actually 3 or 4 times the general prevalence rate (Kalischuk et al., 2006; Shaw et al.,<br />

2007). There is also an important <strong>in</strong>ter-generational impact, as children <strong>of</strong> problem gamblers<br />

are at high risk for develop<strong>in</strong>g problem <strong>gambl<strong>in</strong>g</strong> themselves (Kalischuk et al., 2006; Shaw et al.,<br />

2007).<br />

The second caveat is that Table 39 reports past-year prevalence <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong>. Evidence<br />

<strong>in</strong>dicates that while the severest forms <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong> tend to be relatively stable, less<br />

severe forms are not (e.g., Abbott et al., 1999; DeFuentes-Merillas et al., 2004; Slutske, Jackson,<br />

& Sher, 2003; Wiebe, Cox, Falkowski-Ham, 2003; Wiebe, S<strong>in</strong>gle, Falkowski-Ham, 2003). Thus, a<br />

stable prevalence rate <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong> over an extended number <strong>of</strong> years hides the fact<br />

that a significant number <strong>of</strong> new problem gamblers have been created each year to replace an<br />

equivalent number <strong>of</strong> problem gamblers who have remitted. Thus, over time, the harm <strong>of</strong><br />

<strong>gambl<strong>in</strong>g</strong> has affected a larger and larger percentage <strong>of</strong> the general population, steadily<br />

<strong>in</strong>creas<strong>in</strong>g lifetime rates <strong>of</strong> problem <strong>gambl<strong>in</strong>g</strong> with<strong>in</strong> Alberta (this may be why overall attitudes<br />

toward <strong>gambl<strong>in</strong>g</strong> have become <strong>in</strong>creas<strong>in</strong>gly negative over time; see Attitude Section).<br />

The third po<strong>in</strong>t is that there is some evidence that rates may have <strong>in</strong>creased <strong>in</strong> 2009 relative to<br />

the past two years (this same trend was seen <strong>in</strong> the onl<strong>in</strong>e panel data from 2008 to 2009).<br />

However, it is also important to note that this trend is not statistically significant (i.e., us<strong>in</strong>g the<br />

PPGM problem/pathological <strong>gambl<strong>in</strong>g</strong> rate, a Chi Square (1df) probability value <strong>of</strong> .097 was<br />

obta<strong>in</strong>ed).<br />

166

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