Will the results from Swelogs change the world?
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Presented at the 6th International Gambling Conference in February 2016. Presented by Ulla Romild
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Will the results from Swelogs change the world?
- 1. .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
- 4. .Sid 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 2016-03-164
- 6. .Sid 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) 2016-03-166
- 8. .Sid 8 2016-03-16 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
- 12. .Sid 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 2016-03-1612
- 13. .Sid 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 4.6 Moderate 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 2016-03-1613
- 15. .Sid 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 2016-03-1615
- 16. .Sid On going 2016 • New prevalence study 2015 (n=21,000) • Qualitative follow-up from the Swelogs cohort 2008-2014 2016-03-1616
- 17. .Sid 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! 2016-03-1617
Editor's Notes
- Data from Swelogs epidemiological track is analyzed and reported from the Public Health Agency. This gives us immediate access to new information when writing responses to referrels or forming new initiatives for preventive measures. We have so far had a solid finance compared to research teams that have to spend substantial time seeking money. The price we pay is a strict and governed way to proceed. We have to allocate much time for internal processes which on the other hand lead to a more solid study. But we act within a professional organization where we have resources for communication and other things.
- The gambling market had undergone dramatic changes over the past ten years when Swelogs began.
- Any gambling, women EP1: 67% EP4: 66% Total: EP1: 70% EP4: 67%