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. 2016 Jul 2;33(2):397–424. doi: 10.1007/s10899-016-9627-5

Table 1.

Overview of adolescent gambling prevalence studies across the world

Country Study Measure Sample characteristics Response rate Gambling prevalence Problem gambling prevalence Legal age to gamble
North America
Canada Huang and Boyer (2007) CPGI National, 5666 youth aged 15- 24 years that completed a survey using computer assisting interviews 77 % 61.35 % (past year) CPGI:
Problem gambling (3+): 2.2 % (past-year prevalence)
18 years for Alberta, Manitoba, Quebec and 19 years for other states
USA Welte et al. (2008) SOGS-RA and DIS National, 2274 youth aged 14–21 years, who were surveyed by telephone Not reported 68 % (past year prevalence) SOGS-RA:
Problem gambling (4+): 2.1 % (past-year prevalence)
DIS:
Problem gambling (+3): 2.2 %, pathological (+4):0.4 %; Combined rate: 2.6 % (past-year prevalence)
From 12 to 21 years depending on states and gambling activities
South America
Brazil Spritzer et al. (2011) DSM-IV-J 661 with adolescents aged 14–17 years (these participants were a sub-sample of the general population), who were interviewed face-to-face 66.4 and 81 % for the adolescent sub-sample 6.9 % (no specific time frame is provided) DSM-IV-J
Problem gambling (+2): 1.6 % (lifetime prevalence)
18 years
Asia
Hong Kong Hsu et al. (2014) DSM-IV-MR-J 926 youth aged 12–20 years, who completed the survey in the class 84.5 % 46.5 % (past-year) DSM-IV-MR-J:
Problem gambling (4+): 0.9 % (past-year prevalence)
18 years
Oceania
Australia Delfabbro and Thrupp (2003) DSM-IV-J South Australia, 505 youth aged 15–17, who completed the survey in the class Not reported 47.8 % (past-year) DSM-IV-J:
Problem gambling (4+): 3.5 % (past-year prevalence)
18 years for most of gambling activities and 16 years for lotteries in some states
Delfabbro et al. (2005) DSM-IV-J and VGS ACT region, 926 young people aged 11–19 years, who completed a survey in the class Not reported 70.4 % (past-year) DSM-IV-J:
Problem gambling (4+): 4.4 % (past-year prevalence)
VGS:
Problem gambling (21+): 3.3 %
(no information regarding time frame is provided)
Lambos et al. (2007)a DSM-IV-J South Australia, 2669 young people aged 13–17 years, who completed the survey in the class Not reported 56.3 % (past-year) DSM-IV-J:
Problem gambling (4+): 2.4 % (past-year prevalence)
Delfabbro and King (2011) DSM-IV-J Darwin metropolitan area, 1107 aged 14–18 years, who completed the survey in the class Not reported 50.8 % (past-year prevalence for participants aged less than 18 years of age) DSM-IV-J:
Problem gambling (4+): 0.2 % (past-year prevalence)
New Zealand Rossen (2008)a DSM-IV-MR-J 2005 youth aged 11–21 years in the Upper North Island, who completed the survey in the class Not reported 65.4 % (past-year) DSM-IV-MR-J:
Problem gambling (4+): 3.8 % (past- year prevalence)
18 years for most gambling activities and 20 years to enter a casino
Europe
Albania Molinaro et al. (2014) Lie/Bet National data from ESPAD, 3189 students aged 16 years, who completed the survey in the class 90 % Not reported Lie/Bet:
Probable problem gambling (sore of 2): 5.3 % (lifetime prevalence)
18 years
Croatia Dodig (2013) CAGI 1948 students aged 14–20 years from Zagreb, Osijek, Rijeka, and Split, who completed the survey in the class Not reported Not reported CAGI:
Problem gambling (6+): 12.3 % (past three months prevalence)
18 years
Cyprus Molinaro et al. (2014) Lie/Bet National data from ESPAD, 4243 students aged 16 years, who completed the survey in the class Not reportedb Not reported Lie/Bet:
Probable problematic gambling (score 2): 4.4 % (lifetime prevalence)
18 years
Denmark Kristiansen and Jensen (2014) SOGS-RA National, 2223 adolescents aged 11–17 years, who completed the survey in the class 91 % 70.1 % (past-year) SOGS-RA:
Problem gambling: 1.3 % (past-year prevalence)
18 years for casinos, slot machines and Internet, and 16 years for other kinds of gambling
Molinaro et al. (2014) Lie/Bet National data from ESPAD, 2181 students aged 16 years, who completed the survey in the class 89 % Not reported Lie/Bet:
Probable problem gambling (score 2): 1.6 % (lifetime prevalence)
Finland Ilkas and Aho (2006) SOGS-RA 5000 adolescents aged 12–17 years Not reportedc 52 % (past-year) SOGS-RA:
Problem gambling (5+):1.3 % (past-year prevalence)
18 years
Molinaro et al. (2014) Lie/Bet National data from ESPAD, 3744 students aged 16 years, who completed the survey in the class 90 % Not reported Lie/Bet:
Probable problem gambling (score 2): 4.8 % (lifetime prevalence)
Germany Hurrelmann et al. (2003) DSM-IV-MR-J Regional, 5009 adolescents aged 13–19 years from Federal State of North Rhine–Westphalia d 39.9 % (past-year) DSM-IV-MR-J:
Problem gambling: 2.96 % (past-year prevalence)
18 years
Duven et al. (2011); Hayer (2014) DSM-IV-MR-J Regional, 3967 students aged 12–18 years from Rhineland-Palatinate d 41.2 % (past year) DSM-IV-MR-J:
Problem gambling: 2.2 % (past-year prevalence)
Great Britain Ashworth and Doyle (2000)a DSM-IV-MR-J 9529 adolescents aged 12–15 years from England and Wales, who completed the survey in the class 40 % (school response rate) 34 % (past seven days) DSM-IV-MR-J:
Problem gambling (4+): 5.4 % (past-year prevalence)
16 years for lotteries and scratchcards and 18 years for other gambling activities
Griffiths and Wood (2007); Griffiths (2008) DSM-IV-MR-J National, 8017 adolescents aged 12–15 years, who completed the survey in the class 26 % (school response rate) 73 % (lifetime) DSM-IV-MR-J:
Problem gambling (4+): 3.5 % (past-year prevalence)
Forrest and McHale (2012) DSM-IV-MR-J National, 8958 aged 11–15 years, who completed the survey in the class 22 % (school response rate) 21 % (past seven days) DSM-IV-MR-J:
Problem gambling (4+): 1.9 % (past-year prevalence)
Ipsos MORI (2014)a DSM-IV-MR-J 2796 students aged 11–16 years from England and Wales, who completed the survey in the class 20 % (school response rate) 16 % (past seven days among people aged 11–15 years) DSM-IV-MR-J:
Problem gambling (4+): 0.8 % (past-year prevalence)
United Kingdom Molinaro et al. (2014) DSM-IV-MR-J National data from ESPAD, 1712 students aged 16 years, who completed the survey in the class 81 % Not reported Lie/Bet:
Probable problem gambling (score 2): 2.2 % (lifetime prevalence)
Iceland Olasson et al. (2006a) SOGS-RA and DSM-IV-MR-J Reykjavik and Akureyri region, 750 adolescents aged 16–18 years, who completed the survey in the class Not reported 79.1 % (past-year) DSM-IV-MR-J:
Problem gambling (4+): 2 %
SOGS-RA:
Problem gambling (4+): 2.7 % (past-year prevalence)
18 years
Olasson et al. (2006b) SOGS-RA and DSM-IV-MR-J Reykjavík region, 3511 adolescents aged 13–15 years, who completed the survey in the class 84 % 70 % (past-year) DSM-IV-MR-J:
Problem gambling (4+):1.9 %
SOGS-RA:
Problem gambling (4+): 2.8 %
(past-year prevalence rates)
Olason et al. (2011) DSM-IV-MR-J Hafnarfjörður region, 1537 adolescents aged 13–18 years, who completed the survey in the class 81.4 % 56.6 % (past-year) DSM-IV-MR-J:
Problem gambling (4+): 2.2 % (past-year prevalence)
Italy Bastiani et al. (2011) CPGI-short form National, 1241 youth aged 15–24 years derived from the ISPAD survey, who completed an anonymous postal survey 35 % 35.7 % (past-year) CPGI:
Problem gambling (3+): 2.3 % (past-year prevalence)
18 years
Molinaro et al. (2014) Lie/Bet National data from ESPAD, 4837 students aged 16 years, who completed the survey in the class Not reportedb Not reported Lie/Bet;
Probable problem gambling (score 2): 2.6 % (lifetime prevalence)
Lithuania Skokauskas and Satkeviciute (2007) SOGS-RA and DSM-IV-MR-J Kaunas city, 835 youth aged 10–18 years, who completed the survey in the class 96 % 82.7 % (lifetime) SOGS-RA:
Problem gambling: 5.2 % (past-year prevalence)
DSM-IV-MR-J:
Problem gambling (4+): 4.2 % (past-year prevalence)
21 years for casino operated games and 18 years for other gambling activities. There is no legal prohibition for lotteries
Molinaro et al. (2014) Lie/Bet National data from ESPAD, 2476 students aged 16 years, who completed the survey in the class 89 % Not reported Lie/Bet:
Probable problem gambling (score 2): 4.2 % (lifetime prevalence)
Norway Johansson and Götestam (2003) DSM-IV National, 3237 adolescents aged 12–18 years, who completed a telephone and postal interview 45.2 % 24.9 % (past seven days) DSM-IV:
Problem gambling (+3): 3.46 %; pathological gambling (+5): 1.76 %; Combined rate: 5.2 % (lifetime prevalence)
18 years
Molde et al. (2009) DSM-IV subscale of Massachusetts Adolescent Gambling Screen (MAGS) 1351 students aged 16–19 years from West Norway, who completed an online survey 69.8 % Not reported DSM-IV:
Problem gambling (3- 4.5): 1.9 %
Pathological gambling (5+): 2.5 %
Combined rate: 4.4 %
(past-year prevalence)
Rossow and Molde (2006) Lie/Bet and SOGS-RA National, 20,703 students aged 13 to 19 years, who completed the survey in the class 80.2 % 74.4 % (past-year) SOGS-RA:
Problem gambling: (3–4): 2.5 % (past -year prevalence)
Lie/Bet:
Problem gambling (2 items): 3.5 % (lifetime prevalence)
Rossow et al. (2013) (study conducted before the ban of slot machines in the country) SOGS-RA and Lie/Bet National, 4912 adolescents aged 13–18 years, who completed the survey in the class 85.7 % 69.3 % (past-year) SOGS-RA:
Problem gambling (4+): 2.3 % (past-year prevalence)
Lie/Bet:
Problem gambling (2): 3 % (lifetime prevalence)
Rossow et al. (2013) (study conducted after the ban of slot machines in the country) SOGS-RA and Lie/Bet National, 3855 adolescents aged 13–18 years, who completed the survey in the class 77.7 % 67 % (past-year) SOGS-RA:
Problem gambling (4+): 3.1 % (past-year prevalence)
Lie/Bet:
Problem gambling (2): 3.4 % (lifetime prevalence)
Hanss et al. (2014) PGSI National, 2.059 adolescents aged 17 years, who completed a postal survey 70.4 % 26.1 % (past-month) PGSI:
Problem gambling (8+): 0.2 % (past-year prevalence)
Romania Lupu et al. (2002) GA-20 Cluj, Salaj, and Bacau regions, 500 adolescents aged 14–19 years, who completed the survey in the class e 82 (lifetime) GA-20:
Problem gambling (7+): 6.8 % (lifetime prevalence)
18 years
Lupu and Todirita (2013) GA-20 Cluj-Napoca and Harghita counties, 1032 adolescents aged 11–19 years, who completed the survey in the class Not reported Not reported GA 20:
Pathological gambling (7+): 3.48 % (lifetime prevalence)
Molinaro et al. (2014) Lie/Bet National data from ESPAD, 2770 students aged 16 years, who completed the survey in the class Not reportedb Not reported Lie/Bet:
Probable problem gambling (score 2): 4.9 % (lifetime prevalence)
Serbia Molinaro et al. (2014) Lie/Bet National data from ESPAD survey, 6084 students aged 16 years, who completed the survey in the class 86 % Not reported Lie/Bet:
Probable problem gambling (score 2): 3.1 % (lifetime prevalence)
18 years
Spain Becoña et al. (2001) SOGS-RA Galicia region, 2790 youth aged 14–21 years, who completed a survey in the class Not reported Not reported SOGS-RA:
Problem gambling (4+): 5.6 % (past-year prevalence)
18 years
Míguez and Becoña (2015) SOGS-RA Galicia region, 1447 youth aged 11–16 years, who completed a survey in the class 92.4 % Not reported SOGS-RA:
Problem gambling (4+): 4.6 % (past-year prevalence)
Sweden Fröberg et al. (2015) PGSI National, 2570 youth aged 16–24 years, who completed a telephone and postal survey 72.5 % Not reported PGSI:
Problem gambling (3–27): 4.2 % (past-year prevalence)
18 years
Switzerland Surís et al. (2011) SOGS-RA Canton of Neuchatel, 1126 students aged 15–20 years who completed an online survey 28.4 % 37.5 % (past-year) SOGS-RA:
Problem gambling (4+): 1.3 % (past-year prevalence)
18 years

aNon-peer-reviewed papers

bThese studies were taken from the paper by Molinaro et al. (2014). This paper summarized probable problem gambling across nine European countries using data from ESPAD, and which did not indicate the response rates for each country. After analysing the ESPAD report in detail, it can be observed that student response rates were not available for Cyprus, Italy and Romania, and thus the response rates for these countries were not reported in the present review

cThis study is published only in Finish. The information reported is based on a English abstract and in the review of Kristiansen and Jensen (2011) conducted among the Nordic countries, and thus it was not possible to obtain more specific information about the methodology, such as the modality of survey used and response rates

dThese papers are only published in German and the information reported was based on Hayer (2014), and thus it was not possible to obtain more specific information concerning methodology, such as the modality of survey used and the response rates

eThis paper was not fully available in academic databases and the information reported is based on its abstract, which did not contain more specific information about methodology, such as response rates