• Aucun résultat trouvé

Is online gambling more problematic that traditional gambling?

N/A
N/A
Protected

Academic year: 2022

Partager "Is online gambling more problematic that traditional gambling?"

Copied!
20
0
0

Texte intégral

(1)Is online gambling more problematic that traditional gambling? 1. JEAN-MICHEL COSTES,. French Monitoring Centre for Gambling (ODJ),. V I N C E N T E R O U K M A N O F F, M A R I E - L I N E T O VA R ,. French Monitoring Centre for Gambling (ODJ),. French Monitoring Centre for Drugs and Drug Addiction (OFDT). 3rd international multidisciplinary symposium University of Neuchâtel, Switzerland January 2014 17/01/2014.

(2) Plan 2. Online gambling in France in 2012. •Introduction •Methods. Introduction Methods Results. •Results. Conclusion. •Conclusion. 17/01/2014.

(3) Introduction 3. • The 12th of May 2010 France "opened the online Online gambling in France in 2012. gambling market to competition" in three areas: sports betting, off-course betting and poker • 2 years after, there was need to assess this new. Introduction Methods Results Conclusion. gambling sector: How many people gamble online? ÷What is the profile of people who gamble online? ÷How do these people behave? ÷Are they more problematic? ÷. 17/01/2014.

(4) Methods: surveys 4. Online gambling in France in 2012. Introduction Methods Results. ü 2 coordinated survey on online gambling in 2012: §A. representative survey which aimed to estimate the prevalence of online gambling by the French (1) §A descriptive survey of the practices of online gamblers and associated problems (2). Conclusion. ü comparable to the first national prevalence survey. carried out in 2010 (3) 17/01/2014.

(5) (1) online gambling prevalence survey 2012 5. Online gambling in France in 2012. 2 questions included in a regular monthly survey (“Monitoring the web practices”, Médiamétrie ) ÷. Introduction. ÷. Methods Results. ÷. Conclusion. ÷ ÷. Telephone survey Random sample of the French population, using CATI September-November 2012 N = 2761 people over 18. 17/01/2014.

(6) (2) online gambling prevalence survey 2012 6. Based on “Web Users Panel” (« Le Carré des Médias », Online gambling in France in 2012. Introduction Methods Results Conclusion. Médiamétrie) • Database: 830 000 Web users • Sample of Internet users selected according to quotas that come from. the results of the last “Monitoring the web practices, Médiamétrie” survey, by: sex, age, socio-professional category and region. • Response rate to all emails sent and opened was approximately 40%. • Final sample was weighted according the initial quotas: sex, age, socioprofessional category and region. •Time survey: November-December 2012 •Age: 18-75 • Final sample: 4,042 Internet users stated having gambled on the Internet on the last 12 months 17/01/2014.

(7) (3) National gambling prevalence survey 2010 7. Online gambling in France in 2012. A set of gambling related questions included in a regular national health survey (“Baromètre Santé”, INPES). Introduction. ÷. Methods Results. ÷. Conclusion. ÷ ÷ ÷. jm.costes@orange.fr. Telephone survey Random sample of the French population, using CATI October 2009 - June 2010 N = 25,034 people aged 18-75 years. 25/09/2013.

(8) Prevalence of online gambling in France 8. Online gambling in France in 2012. Prevalence of online gambling in France in 2012 French population (aged 18 and over) Prevalence in the last 12 months. Introduction. Estimate. 3,7%. 95% Confidence intervals Lower 2,9%. Higher 4,5%. Source : enquête Prévalence-e-Jeu 2012 ; ODJ - N=2761. Methods Results Conclusion. 17/01/2014.

(9) Online gamblers: sex, age 9. Popula(on!pyramid!of!online!gamblers!(%)! [70$*$75]$. Online gambling in France in 2012. [65$*$69]$ [60$*$64]$ [55$*$59]$. 51!%!F!. [50$*$54]$ [45$*$49]$ [40$*$44]$ Introduction. [35$*$39]$. Methods. [30$*$34]$. Results. [25$*$29]$. Conclusion. [18$*$24]$ 8,00$. 6,00$. 4,00$. 2,00$. 43!%!F!. 0,00$. Men$. Women$. 2,00$. 4,00$. 6,00$. 8,00$. French$Popula8on$. Source':'Enquête'e.ENJEU2012';'OFDT'/'ODJ! %$of$total$popula8on$for$a$year$of$age$in$the$age$groups$of$different$range$. 17/01/2014.

(10) Profile of Online vs. Offline Gamblers 10. Online gambling in France in 2012. Introduction Methods Results Conclusion. 17/01/2014.

(11) Online gamblers - activities 11. Prevalence)of)last)12)months)gamblingamong)online)gamblers)by) type)of)games)(in)%))) All#games#combined#. Online gambling in France in 2012. 72,1# 58,2#. LoIery,#scratch#card#games#K#FDJ*# LoIery,#scratch#card#games#K# others#. Methods Results Conclusion. 66,4#. 20,4#. Poker#. Introduction. 100,0#. 8,9#. 19,2#. Sports#beFng#. 16,4# 11,8#. Horse#racing#. 13,8# 13,0#. Other#games#. 2,1#. Offline#. 11,6#. Slot#machines#. 7,2#. Casinos#(excluding#poker)#. 4,0# 6,6# 0,0#. Online#. 14,7#. 20,0#. 40,0#. 60,0#. 80,0#. 100,0#. *FDJ:#state#company#which#manages#legal#loIery#and#scratch#card#games#. # #Source':'Enquête'e.ENJEU2012';'OFDT'/'ODJ#. 17/01/2014.

(12) Online gambling patterns - multi-activities 12. Propor;on"of""exclusive"gamblers"*"by"type"of"gambling" ac;vi;es"(in"%)" Online gambling in France in 2012. Introduction Methods. Slot#machines#. 17#. Casinos#(excluding#poker)#. 18#. Horse#racing#. 26#. Sports#beCng#. 26#. Lo,ery,#scratch#card#games#9#others#. one#game# online# gambling# mulM9games# online# gambling#. 32#. Results Conclusion. Poker# Lo,ery,#scratch#card#games#9#FDJ*#. 43# 60#. 0# 20# 40# 60# 80# 100# *"An"exclusive"X"gambler"is"a"gambler"who"only"bets"on"X." " "#Source':'Enquête'e.ENJEU2012';'OFDT'/'ODJ". 17/01/2014.

(13) Online gambling patterns - frequency 13. Lo. 7e ry ,"s. g". ne s". cin. ok er )". Ho. Slo. 70#. rs e" ra. ng " di. "b. "( e xc lu. or ts. t"m ac hi. 66#. ng "p. 64#. eJ. 63#. si n. os. Sp. ca rd " Lo. 7e ry ,"s. cr at. ch ". Conclusion. 42#. ga m es "<. m es " he r"g a Ot. Results. 60#. 42#. Introduction Methods. 49#. 45#. Ca. Online gambling in France in 2012. Po ke r". 100" 90" 80" 70" 60" 50" 40" 30" 20" 10" 0". Al l "g "F D am J* cr " es at " ch co "ca m bi rd ne "ga d" m es "< " ot he rs ". Propor.on#of#regular#gamblers*#(in#%)#. *"having"gambled"52"Rmes"or"more"in"the"past"12"months" " "Source":"Enquête"e<ENJEU2012";"OFDT"/"ODJ" 17/01/2014.

(14) Online gambling patterns - spending 14. PercenAles!of!online!gamblers!according!to!their!level!of!expenditure! 1!400!€!. Online gambling in France in 2012. 1!200!€!. 1!200!€!. 1!000!€! !800!€! !600!€!. !520!€!. Introduction Methods Results. !400!€! !200!€!. !208!€!. Conclusion. !0!€!. !50!€!. !20!€! 0%!. 10%!. 20%!. 30%!. 40%!. 50%!. 60%!. 70%!. 80%!. 90%!. 100%!. %!Of!players!with!expenditure!≥!to:! eg:!50%!of!players!have!spent!≥!208!€! !Source!:!Enquête!e.ENJEU2012!;!OFDT!/!ODJ!. 17/01/2014.

(15) Online gambling patterns – supply status (1) 15. Online gambling in France in 2012. Introduction. Distribution#of#gamblers#according#to#the#regulated#status#of#web#sites#they#use. in#%######. Results. only%regulated%web%sites only%unregulated%web%sites both. Conclusion. source':'Enquête'e.ENJEU2012;'OFDT/ODJ. Methods. All#gamblers# (N=4042) 54% 19% 27%. Regulated#field#(2010#law) Poker (n=335)*. Sport/Horse# Bet##(n=317)*. 53% 23% 24%. 70% 6% 24%. *%%exclusifs%gamblers. 17/01/2014.

(16) Online gambling patterns – supply status (2) 16. Socio3demographic%profile%of%gamblers%playing%on: only%regulated% web%sites Online gambling in France in 2012. Introduction. Low$SPC High$SPC Inactive Men Women. Methods Results Conclusion. <$Bac $$$Bac >$Bac Alone Couple mean$age. Socioprofessional%category%* 26,5% 52,2% 21,3% Sex 66,1% 33,9% Education 20,2% 22,2% 57,6% Marital%status 30,4% 69,6% Age 42,7. only%unregulated% web%sites 17,3% 50,7% 32,0% 35,5% 64,5% 28,9% 29,0% 42,1% 39,1% 60,9% 37,3 17/01/2014.

(17) Online gambling patterns – impact on lifestyle 17. Gambling!impact!on!online!gamblers!lifestyle,!in%! Online gambling in France in 2012. 74,5$. No$problem$ 15,7$. Staying$awake$. 13,6$. Nibbling$ Introduction Methods. 3,5$. Skipping$meals$. Results Conclusion. 2,4$. Rela0onship$problems$ 0,0$. 10,0$. 20,0$. 30,0$. 40,0$. 50,0$. 60,0$. 70,0$. 80,0$. Source':'Enquête'e.ENJEU2012';'OFDT'/'ODJ!. 17/01/2014.

(18) Online gambling patterns – problem gambling 18. 100$ 90$ Online gambling in France in 2012. 80$. Percentage$of$problem$gamblers$by$type$of$game$in$which$they$ are$most$invested$$. 70$ 60$. 48,5$. 50$ 40$. 31,0$. 16,4$ 20,2$. 30$ Introduction. 20$. Methods. 10$. Results Conclusion. 0$. 12,2$. 18,2$. 7,0$ 5,2$. 12,8$. Lo/ery,$ scratch$card$ games$. Poker$. 42,1$. 32,1$. Slot$machines$ PGSI$≥$8$. 21,9$. 25,8$. 26,1$. 18,1$. 16,6$. 7,8$. 9,5$. 17,0$ 10,4$ 6,6$. Casinos$ Sports$beHng$ Horse$racing$ All$gamblers$ (excluding$ poker)$ 3$≤$PGSI$<$8$. Source':'Enquête'e.ENJEU2012';'OFDT'/'ODJ$. 17/01/2014.

(19) Gambling patterns: Online vs. Offline Gamblers 19. Online gambling in France in 2012. Introduction Methods Results Conclusion. 17/01/2014.

(20) Conclusions 20. Online gambling in France in 2012. üOnline gambling: 7 % of the French gamblers üA young, male, educated, well-integrated population. Introduction Methods. üMostly, but not entirely, regulated gambling. Results Conclusion. üMore intensive and more problematic practices than offline. gambling. 17/01/2014.

(21)

Références

Documents relatifs

Although this sys- tem will probably not change with the regulation in prog- ress, the cantons [15] and health and social professionals [12] have the common objective of obtaining

Illegal behaviors related to gambling were removed as a diagnostic criterion in the last ver- sion of the DSM (DSM-5) [1], due to their low prevalence in clinical and

•  The operators of online games, approximately 30, run licensed gambling sites covering three domains: sports betting, horse race betting, and poker. 10/09/2014

ü  monitoring of online gambling trends and the prevalence of problem gambling through regular, targeted surveys;. ü  2 key indicators: % problematic gamblers, % activity on

ü  A demand for slot machines or other online casino games Some evidence that gambling on regulated supply is

Are online pathological gamblers different from non- online pathological gamblers on demographics, gambling problem severity, psychopathology and personality

Some studies that control for factors such as demographic variables and gambling involvement have found that online gambling does not predict problem gambling anymore. Only a

We performed a clustering of gamblers with eight variables: age at initiation, age at onset of gambling problem, duration of gambling history, age at diagnosis of