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. Sid Will the results from Swelogs change the world? International Gambling Conference on Preventing harm in the shifting gambling environment Auckland, New Zealand, 2016 Dr. Ulla Romild, Public Health Agency of Sweden

Will the results from Swelogs change the world?

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Page 1: Will the results from Swelogs change the world?

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Will the results from Swelogs change the world?

International Gambling Conference on Preventing harm in the shifting gambling environment

Auckland, New Zealand, 2016 Dr. Ulla Romild, Public Health Agency of Sweden

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Swelogs Advisory Board•Prof. Max Abbott, Vice-Chancellor and Dean, Faculty of

Health and Evironmental Sciences, AUT, Auckland, NZ•Dr. Rachel Volberg, University of Massachusetts Amherst,

US•Dr. Per Binde, Associate professor in social anthropology,

University of Gothenburg, Sweden•Jakob Jonsson, Clinical phychologist, Sustainable

Interaction, Stockholm, Sweden•Dr. Anders Tengström, Karolinska Institutet, Stockholm,

Sweden•Anders Stymne, former project manager, responsible for

gambling prevention at the Swedish National Institute of Public Health

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The Swedish gambling market•Regulated actors:– Svenska Spel– AB Trav och Galopp (ATG)– National and local lotteries organinized by associations– ….

•Unregulated actors– Online gambling companies without permit to conduct business in

Sweden•Illegal gambling– Gambling machines that do not belong to Svenska Spel– Commercial poker tournaments for profit run outside of one of the

four state-owned casinos run by Svenska Spel (Casino Cosmopol)

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Original sample 2008: N=15,000; 16-84 yrs

EP1, 2008/2009:n=8,165 Lost at baseline:

6,837

EP2, 2009/2010:n=6,017 Lost from EP1 to EP2:

2,148

EP3, 2012: n: 3,897+291=4,188

EP4, 2014:n: (2,847+135)+123+454=3,559

Lost from EP2 to EP3: 2,120

Lost from EP3 to EP4: 1,206

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Previous results from Swelogs regarding problem gambling

•Problem gambling defined as PGSI 3+; Moderate risk & Gambling problems

•Prevalence rate 2.1 percent•Incidence rate 1.4 percent•¾ of the problem gamblers were exchanged into new ones

within a year

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PGSI-results. All=weighted for each wave. EP4-resp=results weighted for EP4-respondents

EP1 2008/09

EP2 2009/10

EP3 2012 EP4 2014

All EP4-resp

All EP4-resp

All EP4-resp

All EP1 22<

Non-gambler

29.4 28.1 26.2 26.1 30.0 28.3 32.9 28.2

No problem-gambler

62.9 64.3 67.4 68.4 66.2 67.9 62.9 65.4

Low risk 5.4 5.3 4.1 3.9 2.7 2.9 2.9 4.6Moderate risk

1.9 2.2 1.6 1.4 1.1 1.0 1.1 1.6

Gambling problem

0.3 0.2 0.3 0.2 <0.1 <0.1

0.1 0.2

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PGSI-categories EP1-4

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PGSI accumulated over time (weighted at each wave)

EP1 EP2 EP3 EP4% 3+ 2.2 3.5 4.3 4.5% 3+ among previous PG (SOGS Lifetime)

35.1 42.4 42.8 45.7

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On going 2016

•New prevalence study 2015 (n=21,000)•Qualitative follow-up from the Swelogs cohort 2008-2014

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Will the results from Swelogs change the world?

•The world is changing•The results from Swelogs may help to better

understand what’s going on– Gambling problems larger than the common 2%

prevalence– Relaps is a more serious problem than we knew before

•Our data from a national sample combined with register information is a rich well of information

•Keep in touch!